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The SOC Files 5: Ghost in the pipeline, or a fileless SharePoint breach by Storm-2603

5 de Novembro de 2026, 07:00

Executive summary

In 2025, several threat actors exploited CVE-2025-53770 and CVE-2025-53771 (ToolShell vulnerabilities) in on-premises Microsoft SharePoint to achieve remote code execution through crafted HTTP requests. One of the threat actors deployed ransomware on the target’s systems after successful exploitation. Microsoft attributed this ransomware-related ToolShell activity to Storm-2603, distinguishing it from other actors whose observed activity was primarily focused on credential theft, espionage, and data exfiltration.

In December, our retrospective analysis identified activity consistent with Storm-2603’s TTPs. This activity involved the attacker using the IIS worker process as an in-memory bridge to the customer’s infrastructure, keeping the access and control layer entirely within w3wp.exe without writing anything to disk. Although subsequent post-exploitation activity generated disk artifacts, the bridge used to maintain access remained memory-resident.

Let’s look in more detail at this attack.

The attack chain, from reconnaissance to infrastructure compromise

The attack chain, from reconnaissance to infrastructure compromise

Intrusion timeline: Strategic latency and exploitation

The intrusion analyzed in this report occurred in two stages, with a temporal gap between initial access and subsequent exploitation activity. The attack timeline was as follows:

  • Dec 20 – Vulnerability fingerprinting: A single HTTP request targeted a SharePoint administrative endpoint associated with the ToolPane component to determine whether the host was vulnerable to CVE-2025-53770.
  • Dec 21-23 – Tactical latency: A three-day period of silence followed the initial probe, separating the vulnerability fingerprinting from subsequent malicious activity and potentially reducing the likelihood of immediate detection.
  • Dec 24 – High-intensity re-engagement: On Christmas Eve, when security staffing at many companies is reduced, the full RCE chain was executed through the IIS worker process (w3wp.exe) on the same endpoint as the initial probe.
  • Dec 26 – Incident discovery: The three-day gap initially prevented the December 20 probe from being correlated with subsequent malicious activity, marking the event as low priority. Retrospective analysis established that the probe was the initial phase of the subsequent intrusion.
Intrusion timeline

Intrusion timeline

Initial access validation phase

Vulnerability fingerprinting

A vulnerability fingerprinting request on December 20 marked the first observed interaction with the target. The request originated from infrastructure associated with ONYPHE, an internet-scale attack surface discovery and management platform for identifying exposed assets, vulnerabilities, and cyberthreats. Unlike widely used tools such as Shodan and Censys, which merely provide a list of internet-facing assets correlated with the open-source data about known vulnerabilities, ONYPHE actually checks if the target system is vulnerable.

Fingerprinting with ONYPHE

Fingerprinting with ONYPHE

The request characteristics were consistent with ONYPHE’s vulnerability checks, which use active, non-intrusive probes to identify internet-exposed systems vulnerable to specific CVEs. For ToolShell, ONYPHE adopted the approach used by Niels Hofmans (hazcod). Namely, it attempts to inject a harmless marker into the target server to find out if it is vulnerable.

OFFICIAL ONYPHE CVE CHECKER (TOOLSHELL)

OFFICIAL ONYPHE CVE CHECKER (TOOLSHELL)

This phase served as a validation step against the SharePoint execution surface exposed over HTTP:

  • The target processed structured requests through the ASP.NET pipeline without rejection.
  • The request path reached application logic capable of handling serialized input.
  • No defensive controls interrupted or altered the execution flow at the application boundary.

Approximately 12 minutes later, a second inbound connection originated from infrastructure associated with Pfcloud UG, a provider operating under a bulletproof hosting (BPH) model. Given the timing and the IP’s documented history of scanning and abusive activity, the connection may represent follow-on reconnaissance against the newly identified target. No exploitation was attempted at this stage.

A connection from an IP address belonging to Pfcloud UG BPH

A connection from an IP address belonging to Pfcloud UG BPH

Active exploitation: Santa took your data and left a backdoor

The main malicious activity occurred on December 24. The actor targeted the same SharePoint host with a crafted request from 45.91.94.204 (45.91.92.0/22, ASN 63473, HostHatch, LLC). This resulted in a webshell execution within the IIS worker process (w3wp.exe). The payload was not written to disk; rather, it was loaded directly into the ASP.NET runtime and used during subsequent request processing. The implant remained resident for the lifetime of the affected application domain. This runtime state was lost when the application pool was recycled or IIS was restarted.

Attack originated from an SPN node

The IP address 45.91.94.204 is a Safing Privacy Network (SPN) node. SPN routes each connection through a multilayer VPN path with multiple relay nodes that can obscure the originating IP.

SPN promotes itself as a network that offers strong privacy protection for internet traffic. Its infrastructure resembles Tor’s in many ways, but with some differences. It features the following capabilities:

  • Speed: Near-VPN performance for high-speed data transfer.
  • Layer 3 support: Supports multiple protocols like TCP, UDP, ICMP (unlike Tor, which only supports TCP).
  • App-routing: Direct tunneling without a browser.
  • Multi-identity: Simultaneous exit nodes to bypass IP rate limits.
  • Fixed-size packets and padding make it harder to analyze its traffic.

It is less common than Tor, and frequently bypasses standard Tor blocklists.

Webshell architecture

The webshell the attackers injected into the w3wp.exe runtime is a multi-module in-memory framework, where execution is orchestrated through the main component (G.cs) and extended via multiple functional units across namespaces.

The implementation follows a modular C# project structure in which each capability is isolated into its own compilation unit and invoked dynamically at runtime.

Webshell components

Webshell components

“G.cs” pipeline control and C2

Pipeline control

The main webshell component is G.cs. It orchestrates the implant’s execution context, lifecycle, C2 and session management.

To ensure persistence within the runtime, G.cs performs the following actions:

  • Registers a custom VirtualPathProvider using the non-public RegisterVirtualPassProviderInternal method from the ASP.NET HostingEnvironment class so that ASP.NET uses it for virtual-path processing. The provider is automatically added to the chain of registered virtual path providers.
  • Delegates the provider’s .NET Remoting lifetime policy to the previous provider in the chain, preserving the existing lifetime behavior.

Additionally, to evade defenses and enable the VirtualPathProvider to be registered even if the application in whose AppDomain the webshell is running is precompiled, the module implements the trust control subversion (T1553) technique:

  • Uses reflection to check if the application is precompiled.
  • Extracts pointers for internal state fields for the BuildManager class, which manages application compilation, and modifies them at runtime.
  • Uses reflection once again to force runtime injection.

G.cs uses the GetCacheKey() function as the interception point for the virtual path processing flow. It processes incoming requests to the SharePoint server and checks their headers to filter out requests from the attacker.

The specific User-Agent in the request headers triggers the webshell execution. If the request doesn’t match this condition, the implant remains dormant, making its traffic harder to recognize.

Command and control layer (in-memory transport)

The same core module (G.cs) implements the communication layer.

Instead of relying on external frameworks or standard beacons, it uses a custom binary protocol with XOR-based obfuscation to exchange data with the C2. These communications blend into normal application traffic. The module uses the GetCacheKey() hook to intercept standard HTTP requests. When a specific User-Agent is detected in the request headers, the module parses it, extracts the payload, and establishes a TCP connection to a target host inside the target’s network if needed.

Bidirectional TCP tunnel initialization

Bidirectional TCP tunnel initialization

G.cs establishes a full-duplex proxy tunnel to support interactive control. It stores active target sockets in memory to pair concurrent HTTP read and write channels.

TCP connections from the C2 server to arbitrary hosts inside the target network are supported for pivoting and lateral movement. The traffic is proxied through the SharePoint host.

Target-to-attacker data channel

Target-to-attacker data channel

Attacker-to-target data channel

Attacker-to-target data channel

As can be seen in the screenshots, the attackers used the suo5 tool to implement traffic proxying. Its authors promote it as a stable forward-proxying tool for scenarios where outbound internet connections are prohibited.

To increase its performance, G.cs manipulates ThreadPool by raising its limits for concurrent operations and maximum timeout.

ThreadPool manipulation

ThreadPool manipulation

“Prog.cs”: Execution entry point and task dispatcher

Prog.cs is the entry point that receives command-line arguments and passes them to uk/London.cs. The latter acts as the orchestrator, handling command parsing and privilege escalation (via named pipe impersonation). We’ll review it in more detail later. If the “suo5” command is provided, London.cs triggers G.cs to hook into the ASP.NET runtime as a memory shell. Once active, G.cs independently processes incoming web traffic inside the web server memory.

Host interaction modules

The following modules provide direct system interaction capabilities, each implemented as a separate unit. London.cs triggers these modules when it receives a corresponding command from Prog.cs.

“FileDownloader.cs”

The FileDownloader.cs module downloads arbitrary files from external URLs provided by the C2. It stores the downloaded files in the Program Data directory without any user interaction.

“LoggedOnUsers.cs”

This module enumerates logged-on users and identifies their session types (interactive, service, remote). The results are stored in memory. The attackers can retrieve them using the proxy and tunneling capabilities provided by G.cs.

“ProcessList.cs”

This module lists running processes with full paths to the corresponding executables on the disk. The results are stored in memory and the attackers can retrieve them via G.cs.

“NetworkInfo.cs”

This module extracts information about existing network connections, including protocols, local and remote IPs and ports, and connection state. It also enumerates network interfaces and headers. The results are stored in memory and can be retrieved by the attackers via G.cs.

“MSI.cs”

This module silently installs and executes MSI packages previously downloaded by FileDownloader.cs.

“User.cs”

This module creates administrative accounts using the native SAM RPC subsystem (SAMRPCNative namespace) rather than standard command-line tooling. This may indicate an attempt to evade detection and provide the attackers with privileged stealthy access to target systems that persists after the webshell has finished its work.

SAMRPCNative

The SAMRPCNative namespace implements a low-level C# P/Invoke wrapper for the native Windows samlib.dll library, comprising three types: SAMStructs.cs, SAMMethods.cs, and SAMEnums.cs.

“SAMEnums.cs”

Implements structured bitwise lists and constant flags mapping numeric codes to their security meaning in SAM, and translates system status return codes.

“SAMStructs.cs”

Defines native data structures required for P/Invoke memory alignment and for marshalling. It securely formats and aligns data structures.

“SAMMethods.cs”

Contains external API declarations (P/Invoke) imported from samlib.dll to perform actions such as connecting to the SAM server, creating users and opening domains.

This layer is crucial for the attackers because it enables account operations.

Privilege escalation

The uk namespace contains offensive primitives for privilege escalation. To elevate privileges to SYSTEM, it uses a local token impersonation technique via the Encrypting File System Remote Protocol (EFSRPC) interface adopted from the EfsPotato tool.

This functionality is implemented in the uk/London class. It creates a malicious named pipe while the EfsrTiny class (a tiny version of the EfsPotato tool) connects to the LSASS.exe RPC server. Then it’s London.RpcThread function calls the EfsRpcEncryptFileSrv function from EfsrTiny with a crafted \\localhost path. This tricks LSASS.exe into connecting back to the attacker’s named pipe. Finally, the London.Exp function uses ImpersonateNamedPipeClient to coerce and impersonate the LSASS.exe token and spawn a new process via CreateProcessAsUser with SYSTEM privileges. As the webshell resides in the IIS worker process, it has the necessary SeImpersonatePrivilege to perform this technique.

The uk namespace also implements a minimal MSRPC client layer by explicitly defining structures such as RPC_CLIENT_INTERFACE and MIDL_STUB_DESC, thereby spoofing an interface stub. This enables direct interaction with the Windows RPC runtime (Rpcrt4.dll) without relying on MIDL-generated stubs or higher-level RPC abstractions. This provides direct control over binding and marshaling that goes beyond the constraints of standard client APIs.

Post-exploitation activity

Shortly after the webshell injection, the infected worker process spawned msiexec.exe to install a remote MSI payload hosted in Supabase cloud storage. The payload was Velociraptor, an open-source digital forensics and incident response tool – namely version 0.73.4.0 vulnerable to CVE-2025-6264 – that the attackers abused for command execution on the target network.

In October 2025, Cisco Talos reported Velociraptor being leveraged by threat actors as a post-compromise execution framework and attributed this activity to Storm-2603. This tool enables arbitrary command execution, and can be used for various purposes. In our case, it was used for persistence, discovery, data collection and payload execution.

The threat actor used Velociraptor to deploy multiple independent tunneling mechanisms, including Zoho Assist-Unattended Support for unauthorized remote access, VS Code CLI tunneling, Cloudflare Tunnel, and a lightweight reverse proxy utility. By doing so, they attempted to maintain access even if some of their tools were detected and deleted. At this stage, they also no longer depended on the IIS worker process lifecycle and ToolShell vulnerability.

EDR-killing attempts

Once the threat actor had access to the target system, they were able to upload a vulnerable driver that is used by many attackers to terminate EDR solutions. We were able to detect the main driver at C:\programdata\rsndispot.sys (054a32d6033b1744dca7f49b2e466ea2). In addition, the adversary used a malicious DLL (2d9ebf9c042f596f435865b40edad928) in a sideloading attack. This DLL was identified as Warlock ransomware’s AV killer. It was possibly intended to kill security solutions using the vulnerable rsndispot.sys driver.

Ransomware deployment attempt

The attackers made attempts to launch ransomware on the compromised system. However, the Proactive Defense Module in Kaspersky Endpoint Security blocked the ransomware process, effectively preventing this activity. The malware DLL we obtained was identified as Warlock ransomware.

What defenders really need to look for

ToolPane deserialization and CLR artifacts

When the attackers tried to access ToolPane, both the dynamically compiled App_Web_toolpane.aspx assembly and the Microsoft.GeneratedCode helper assembly were present within the same application domain.

Both assemblies are used in legitimate scenarios. App_Web_* assemblies are generated during normal ASP.NET page compilation, while Microsoft.GeneratedCode is typically produced by the XmlSerializer during legitimate serialization workflows. However, a request to the ToolPane endpoint that results in immediate loading of Microsoft.GeneratedCode within the same execution window indicates that the runtime is processing serialized data supplied through the request.

Detecting deserialization exploitation

First, it is highly recommended to read this article (in Russian) on how deserialization exploit attempts in the CLR should be detected, with examples of YARA rules and monitoring recommendations. A summary of the main idea of the detection logic is provided below.

Deserialization vulnerabilities should be treated as a distinct class of exploitation events. In the CLR, deserialization is not merely the conversion of bytes into values – it is the reconstruction of an object graph from an incoming stream. Serialization and deserialization are performed by formatters. One of the most widely used formatters is BinaryFormatter. It uses the NRBF format, which defines the stream as a sequence of records describing classes, arrays, primitives, and references between objects. The shape of the resulting graph is determined by the data supplied to the deserializer. This means that the input stream defines not only the values but also the specific types, relationships, and lifecycle points that the runtime must materialize.

Microsoft states explicitly that BinaryFormatter is unsafe and cannot be made safe; beginning with .NET 9, the in-box implementation is effectively removed from ordinary use. However, Microsoft continues to use it in its products, including SharePoint, because it is powerful and easy to use. To fix BinaryFormatter-related issues, architectural changes are needed. Similar warnings also apply to related unsafe mechanisms, including LosFormatter (used in the vulnerable page).

The primary risk of unsafe deserialization is that the CLR may resolve unexpected types, instantiate objects outside normal constructor invariants, and invoke special lifecycle mechanisms such as ISerializable, IObjectReference, IDeserializationCallback, and methods marked [OnDeserialized]. In other words, the attacker-controlled data can force the runtime to construct a graph containing types with executable side effects.

A practical detection strategy should therefore focus on graph-construction artifacts. CLR loader events identify the relevant assemblies and application domains. Memory and metadata inspection then reveal the type names and generated serializer structures associated with the suspected gadget chain. In ToolShell-like scenarios, unsafe deserialization usually produces helper assemblies (evidence in loader events) with metadata containing fully qualified type names, gadget class names, and string representations of the constructed generic types (just scan via YARA for it). In our case, the artifacts to look for include Microsoft.GeneratedCode, App_Web_toolpane.aspx* (evidence of deserialization in loader events) as well as strings identifying ObjectDataProvider, ExpandedWrapper, and LosFormatter (evidence that the input stream was deserialized into dangerous objects). Note that these indicators are not significant in isolation; their value lies in the fact that they show the runtime has already received data requiring helper code generation to reconstruct a dangerous object graph.

Gadget objects that exploit vulnerabilities like those associated with ToolShell are conveniently represented in corpus-style tooling such as ysoserial.net/YSoNet, which aggregate known gadget chains for unsafe .NET deserialization. For defensive purposes, the value of these projects lies not in their offensive capability but in the catalog of types and structures that can be searched for in streams, memory, and helper assemblies. The presence of any of them in memory or in a helper assembly should be treated as a strong indicator of exploitation.

To simplify deserialization exploit detection, we created a tool named CLRDeserializationExploitFinder. It can detect ToolShell exploitation attempts, as well as other gadget chains covered by ysoserial.net.

Detecting a VPP-based webshell/runtime implant

A mechanism based on VirtualPathProvider should be treated as a separate class of runtime implant (no files involved). In ASP.NET, HostingEnvironment.RegisterVirtualPathProvider registers a new virtual-path provider (VPP) in the application’s compilation system. Once registered, the application can serve virtual paths during dynamic compilation as though they were ordinary on-disk pages. Dynamic compilation does not require the payload to exist as a file in the filesystem. It operates entirely within the trust boundary of the application itself. During the compilation process, temporary files may be generated, but they cannot be treated as reliable forensic artifacts. Because VPPs can also be used for legitimate purposes, the defensive model should begin with an inventory of the legitimate VirtualPathProvider implementations. In all other cases, the registration or use of a new VPP should be considered anomalous.

To see how the dynamic generation of virtual pages using ASP.NET, IIS, and the CLR works, and to learn how to detect such activity, use our project VirtualPathProvider Lab.

The most useful telemetry source for this technique is the Microsoft-Windows-IIS-Configuration ETW provider. To detect virtual paths, events 25 and 47 are of primary value. Event 25 records the mapping of ConfigPath to PhysicalPath, and event 47 records the mapping of the configuration path to a directory. In the case of a VPP-backed path, these events create an inconsistency: IIS and ASP.NET behave as if the path has a physical representation, while the corresponding file does not exist on disk. In the example provided by VirtualPathProvider Lab, this appears as a mapping of the virtual resource googlecheck.aspx to a physical path where no real file is present. This discrepancy between configuration resolution and filesystem reality is the primary indicator of virtual content.

The second indicator is more negative than positive. For disk-backed files, IIS normally creates a FileChangeNotificationMonitor chain, as reflected in events 17, 18, 19, and 21. For virtual paths served by a custom VirtualPathProvider, this chain is absent or does not match the normal profile of an ordinary file because there is no physical object or corresponding on-disk change lifecycle. Consequently, the presence of positive events 25 and 47 combined with the absence of the expected events 17, 18, 19, and 21 for the same path forms a reliable detection pattern: the path exists for IIS as a configuration-resolved resource, yet it is not backed by the filesystem and is not accompanied by normal file-change monitoring.

To sum up, the hunting target here is the discrepancy between how IIS/ASP.NET resolves a resource and what is actually present on the disk and in the change-monitoring chain. For known applications, such cases can be filtered through an allowlist of legitimate VirtualPathProvider implementations. Anything else should be treated as a potential runtime implant and examined using ETW, filesystem verification, and memory inspection of the w3wp.exe process.

Attribution

Microsoft tracks Storm-2603 as a standalone threat actor with no known links to other groups. While they are careful about assessing the actor’s motivation, they mention that it has previously deployed Warlock and LockBit ransomware following active exploitation of on-premises SharePoint vulnerabilities. In the analyzed incident, we observed similar SharePoint exploitation activities, as well as an EDR killer associated with Warlock ransomware and unsuccessful Warlock launch attempts.

Other documented intrusions have identified Storm-2603 as leveraging known flaws within perimeter mail gateways to achieve initial access, subsequently staging the Velociraptor framework with elevated privileges and establishing persistent encrypted tunnels via commercial remote management software to orchestrate secondary lateral movement. This aligns with the post-exploitation behavior we observed in our case. Together with the ToolShell exploitation scenario, this allows us to attribute this case to Storm-2603 with moderate confidence.

Conclusion

From the incident analyzed in this article, the main defensive lesson is that exploiting an internet-facing SharePoint server can enable fileless code execution directly inside the application trust boundary. Storm-2603 did not require a conventional dropper, persistent service, or exposed C2 endpoint; instead, it deployed a webshell inside w3wp.exe, from which tunneling, privilege escalation, credential access, and lateral movement could be orchestrated. Detection therefore needs to move beyond file-based webshell hunting toward runtime behavior, such as anomalous w3wp.exe activity, unexpected outbound connections, RPC coercion, token impersonation, and the introduction of remote-management or DFIR tooling after application compromise.

To correctly attribute malicious activity and develop appropriate response measures, defenders should reconstruct execution chains and temporal relationships across application, host, and identity layers. They should also preserve memory and IIS telemetry, and correlate low-signal reconnaissance with subsequent privileged activity rather than evaluating events in isolation. A confirmed SharePoint exploit with code execution should trigger host-level containment, persistence hunting, credential and exposed MachineKey rotation, and TTP-driven investigation rather than remediation limited to the initial exploit or known IOCs.

Kaspersky products detect the threats mentioned in this article as:

  • Trojan.MSIL.Agent.gen
  • Trojan.Win64.DLLhijack.cdp

Indicator of compromise

Indicator of compromise Description
45.91.94[.]204 SPN node
0xFD91321BF7FF7245DDA9B7B5D791ACE8 vskp2 – webshell implant
hxxps://vdfccjpnedujhrzscjtq[.]supabase[.]co/storage/v1/object/public/image/v4[.]msi Vulnerable Velociraptor package
0x3A55D8F8F29716C694671834D8C6CB29 C:\ProgramFiles\Velociraptor\Velociraptor.exe
hxxps://auth[.]qgtxtebl[.]workers[.]dev/ Velociraptor server URL
199.232.210[.]172 C2 traffic relay
0x991EC6E04413F2D4D29341C17A8A54D5 Abused legitimate VS Code
0x3D553B9061C03F891CE97D7D2E64DDEE VS Code Insiders for tunneling
91.224.92[.]121 Bulletproof-hosted C2 server
49.51.132[.]100 SPN node
hxxps://github[.]com/cloudflare/cloudflared/releases/latest/download/cloudflared-windows-amd64[.]msi Abused legitimate tunneling tool
0x2C32E44A013CBFC5A323EFB7694701D2 Abused tunneling tool executable
hxxps://files[.]catbox[.]moe/8f7vex[.]msi Abused Zoho Assist Unattended Agent download URL
0x112A86ECA3CB5A0B5E20AB744CC5AF93 7z.exe renamed for sideloading
0xA930F81E3FB0A226EC5904D9043A17B8 C:\ProgramFiles(x86)\ZohoMeeting\UnAttended\ZohoMeeting.7z
204.76.203[.]219 Bulletproof-hosted C2 server
0x054a32d6033b1744dca7f49b2e466ea2 Vulnerable driver

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Ransomware Threats, Americas, America,

The Americas carried the heaviest ransomware burden of any region on the planet in the first half of 2026. According to Cyble Research and Intelligence Labs (CRIL), North and South America combined experienced 2,188 documented ransomware attacks between January and June 2026.

That single figure — 2,188 attacks — represents more than 57% of the 3,836 ransomware incidents CRIL tracked worldwide, making the Americas the undisputed center of gravity for global ransomware operations.

But the Americas is not a single threat theatre — it is two. North America alone absorbed 1,981 attacks, driven by a mature, multi-group Ransomware-as-a-Service (RaaS) economy competing for market share. South America, by contrast, recorded 207 attacks concentrated around a much smaller set of operators, with one group — The Gentlemen — claiming nearly a quarter of all regional incidents outright. Understanding the Americas means understanding both halves of that story: a saturated northern market and a consolidating southern one.

North America vs. South America: Two Distinct Ransomware Landscapes

Security leaders operating across the hemisphere cannot apply a single threat model to both sub-regions. The data shows meaningfully different attacker behavior, concentration, and monetization strategy north and south of the equator.

Metric North America South America
Ransomware Attacks 1,981 207
Dominant Ransomware Actor Qilin (370 attacks) The Gentlemen (46 attacks)
Top Targeted Sector Construction IT & ITES
Top Targeted Nation United States (1,721) Brazil (71)
Distinct Ransomware Groups Active 50+ 30+
% of Attacks from Top 3 Groups ~40% (Qilin, Akira, INC Ransom) ~57.5% (The Gentlemen, Qilin, LockBit)

Why the split matters: North America's threat landscape is a genuine marketplace — dozens of RaaS operators compete for affiliate loyalty, and no single group commands more than a fifth of total volume. South America's landscape is more consolidated, with three groups controlling well over half of all attacks.

For defenders, that means North American organizations need broad-spectrum threat intelligence covering a long tail of active groups, while South American organizations can build highly specific defenses against a short list of named adversaries.

The Five Dominant Ransomware Groups Targeting Americas

Across both sub-regions combined, five ransomware operators account for the overwhelming share of documented activity: Qilin, Akira, INC Ransom, Dragonforce, and The Gentlemen. Together, these five groups are linked to roughly 1,148 of the Americas' 2,188 attacks — approximately 52.5% of all regional ransomware activity.

ransomware threats, ransomware threats in Americas, ransomware threats in Americas 2026, Qilin
Fig. Top five ransomware groups in Americas for H1 2026 (Source: CRIL)

1. Qilin: The Biggest Ransomware Threat in the Americas

Attack Volume: 410 documented incidents across the Americas (370 in North America, 40 in South America) — 18.7% of the regional total.

Qilin is the single most prolific ransomware actor operating in the hemisphere, and its dominance is not evenly spread — it is concentrated hardest in the United States.

Geographic Concentration:

  • United States: 323 attacks (the single largest country-level concentration of any group, anywhere)
  • Canada: 33 attacks
  • Argentina: 13 attacks
  • Broader South America: 40 attacks

Worldwide Sectoral Targeting: Qilin's targeting logic is deliberate rather than opportunistic:

  • Construction: 108 incidents (primary focus)
  • Professional Services: 90 incidents (legal, accounting, consulting firms)
  • Manufacturing: 67 incidents
  • Healthcare: 53 incidents
  • IT & ITES: 43 incidents

Operational Characteristics:

Qilin's affiliate model is built for scale. Initial access brokers handle reconnaissance and compromise, mid-tier operators manage lateral movement, and dedicated crews execute encryption and exfiltration. This compartmentalization lets Qilin run dozens of concurrent operations across the United States without any single point of failure. The group's near-total dominance of the American ransomware market (323 of 1,721 US attacks) suggests either an unusually large affiliate roster or a payout structure attractive enough to pull operators away from competing platforms.

Why Qilin Dominates:

  • Affiliate Loyalty: Competitive payout splits keep operators recruiting and retaining talent
  • Rapid Exploit Weaponization: Fast turnaround from vulnerability disclosure to active exploitation
  • Sector Fluency: Deep understanding of which industries face the highest downtime cost
  • Established Data Brokerage Ties: Exfiltrated data reliably reaches monetization channels

Americas Security Implications: Any organization in construction, professional services, manufacturing, or healthcare operating in the US or Canada should treat Qilin as a primary named threat, not a generic ransomware risk.

2. Akira: North America's Persistent Operator

Attack Volume: 268 documented incidents, almost entirely concentrated in North America — 12.2% of the regional total

Akira is the second most active group in the Americas, and unlike Qilin, its footprint is almost exclusively North American. CRIL's data shows Akira's South American presence is negligible to date.

Geographic Concentration:

  • United States: 247 attacks (92% of Akira's total Americas volume)
  • Canada: Remaining North American activity
  • South America: Minimal to no confirmed activity

Worldwide Sectoral Targeting:

  • Construction: 57 incidents
  • Manufacturing: 54 incidents
  • Professional Services: 47 incidents
  • Consumer Goods: 19 incidents
  • IT & ITES: 16 incidents

Operational Characteristics:

Akira has built a reliable playbook around compromising small-to-medium-sized businesses through unpatched public-facing network devices, then pivoting into construction and manufacturing environments where downtime tolerance is lowest. The group's consistency — rather than explosive growth — is its defining trait; it has neither the explosive scale of Qilin nor the geographic diversification of The Gentlemen, but it reliably executes against the same target profile month after month.

Americas Security Implications: North American SMBs in construction, manufacturing, and professional services should assume Akira is actively scanning for exposed remote access infrastructure. Its South American absence should not be mistaken for permanence — RaaS groups expand geographically once North American markets saturate.

3. INC Ransom: The Law-Firm Specialist

Attack Volume: 171 documented incidents (164 in North America, 7 in South America) — 7.8% of the regional total

INC Ransom distinguishes itself through sector specialization rather than volume. The group shows a clear, repeated preference for Professional Services organizations — particularly law firms — leveraging the sensitive, high-stakes nature of legal client data.

Geographic Concentration:

  • United States: 154 attacks
  • Canada: 6 attacks
  • Brazil: 4 attacks

Worldwide Sectoral Targeting:

  • Professional Services: 58 incidents (primary focus, with a documented preference for law firms)
  • Construction: 27 incidents
  • Manufacturing: 26 incidents
  • Healthcare: 21 incidents
  • Organisation/Non-profit: 12 incidents

Operational Characteristics:

INC Ransom's rapid operational pace and consistent targeting of law firms, healthcare providers, and transportation/energy operators reflects a strategy built entirely around double-extortion leverage. The sensitivity of the data matters more than the size of the victim. A regional law firm holding privileged client communications is, to INC Ransom, a more valuable target than a much larger manufacturer with less sensitive data.

Americas Security Implications: Law firms, accounting practices, and consulting shops across the US, Canada, and Brazil should assume INC Ransom is actively targeting client confidentiality as leverage — not just encrypting file servers for disruption.

4. Dragonforce: The Cross-Border Supply-Chain Operator

Attack Volume: 153 documented incidents (148 in North America, 5 in South America) — 7.0% of the regional total

Dragonforce maintains an aggressive operational tempo focused heavily on the United States, with a strategy that suggests supply-chain-aware targeting rather than random opportunism.

Geographic Concentration:

  • United States: 135 attacks
  • Canada: 11 attacks
  • South America: 5 attacks

Worldwide Sectoral Targeting:

  • Construction: 48 incidents
  • Manufacturing: 31 incidents
  • Professional Services: 28 incidents
  • IT & ITES: 18 incidents
  • BFSI: 17 incidents

Operational Characteristics:

Dragonforce's manufacturing and construction focus mirrors Qilin's and Akira's playbooks, but its concentration in the US combined with limited-but-present South American activity hints at interest in transnational manufacturing supply chains. North American organizations with manufacturing partners or subsidiaries in Latin America should treat this as a lateral-access risk, not just a direct-targeting one.

Americas Security Implications: Manufacturers and construction firms with cross-border operations — a common structure across USMCA supply chains — should extend Dragonforce-specific monitoring to subsidiaries and vendors, not just headquarters networks.

5. The Gentlemen: South America's Dominant Threat

Attack Volume: 146 documented incidents (100 in North America, 46 in South America) — 6.7% of the regional total, but the single most active ransomware group in South America specifically.

While The Gentlemen rank fifth across the combined Americas, they are the #1 threat actor in South America on their own — responsible for roughly 22% of every ransomware attack recorded in that sub-region.

Geographic Concentration:

  • United States: 77 attacks
  • North America: 100 attacks
  • Brazil: 15 attacks
  • South America: 46 attacks (largest single-group share in the sub-region)

Worldwide Sectoral Targeting:

  • Manufacturing: 56 incidents
  • Construction: 45 incidents
  • Healthcare: 37 incidents
  • IT & ITES: 36 incidents
  • Consumer Goods: 34 incidents

Operational Characteristics:

The Gentlemen are a relatively new operator that has achieved outsized scale in a short window, and their South American concentration is the most important regional signal in this dataset. Unlike Qilin or Akira — which built North American dominance first and are only beginning to diversify — The Gentlemen appear to have prioritized South America as a primary theatre from early in their operational life, an unusual strategic choice that may reflect lower defensive maturity, less aggressive law enforcement cooperation, or simply less competitive pressure from other RaaS operators in the sub-region.

Americas Security Implications: South American organizations — especially in healthcare, manufacturing, and IT services — should treat The Gentlemen as their single highest-priority named adversary. North American organizations should not discount them either; 100 US-focused attacks is a substantial footprint for a group still building its brand.

Other Notable Threats: Play, LockBit, and CL0P

Three additional groups warrant inclusion in any Americas threat model:

  • Play (144 attacks, North America only): Continues its "Big Game Hunting" approach layered with high-volume SMB attacks via unpatched public-facing network devices, concentrated almost entirely on US and Canadian construction, professional services, and manufacturing targets.
  • LockBit (80 attacks combined — 47 in North America, 33 in South America): Despite sustained international law enforcement pressure and repeated takedown attempts, LockBit remains operationally resilient across both sub-regions, notably compromising Chile's Clínica Dávila in South America.
  • CL0P (93 attacks combined — 91 in North America, 2 in South America): Operated differently from its peers, executing a large-scale campaign concentrated in January and February 2026 that exploited a single zero-day vulnerability across hundreds of organizations at once — reminiscent of the group's historical MOVEit campaign.

Also read: The Most Active Threat Actors of H1 2026

The Five Most Targeted Nations in the Americas

ransomware threats, ransomware threats in Americas, ransomware threats in Americas 2026, Qilin
Fig. Most targeted countries in Americas for H1 2026 (Source: Cyble)

United States: The Global Ransomware Epicenter

Attack Volume: 1,721 ransomware attacks — 78.7% of all Americas ransomware activity, and roughly 45% of every ransomware attack recorded worldwide.

No other country on Earth comes close to the volume of ransomware activity absorbed by the United States in H1 2026. The country functions as the default target for nearly every major RaaS operator active today.

Threat Actor Concentration:

  • Qilin: 323 attacks
  • Akira: 247 attacks
  • INC Ransom: 154 attacks
  • Dragonforce: 135 attacks
  • Play: 134 attacks

Sectoral Breakdown: Manufacturing, Professional Services, Construction, and Healthcare bear the brunt, consistent with the broader North American pattern of operationally sensitive, low-downtime-tolerance industries.

Why the United States Faces Maximum Pressure

The scale of the US economy, its dense concentration of mid-market manufacturers, law firms, and healthcare providers, and its comparatively high ransom-payment history combine to make it the most economically rational target for every major ransomware operator. US organizations also frequently anchor cross-border supply chains stretching into Canada, Mexico, and South America — meaning a US compromise can cascade into lateral access against hemispheric partners.

Defensive Priority: US organizations across construction, manufacturing, professional services, and healthcare should assume Qilin, Akira, INC Ransom, Dragonforce, Play, and The Gentlemen are all actively scanning for exploitable entry points into their networks simultaneously — not sequentially.

Canada: The Cross-Border Extension

Attack Volume: 179 ransomware attacks — 8.2% of the regional total.

Canada's threat profile closely tracks the United States, reflecting deep economic integration and shared supply chains rather than a distinct targeting logic of its own.

Sectoral Breakdown: Manufacturing, professional services, and construction dominate, mirroring the US pattern almost directly.

Why Canada Faces Sustained Pressure

Canadian organizations are frequently subsidiaries, suppliers, or joint-venture partners of US enterprises, which means the same RaaS groups saturating the US market extend naturally northward. Cross-border manufacturing in particular creates lateral access opportunities that Dragonforce and Akira appear well-positioned to exploit.

Defensive Priority: Canadian organizations should not assume distance from US headquarters provides insulation — the same threat actors, exploiting the same vulnerability classes, are already active on both sides of the border.

Brazil: The Financial Malware and Ransomware Convergence Point

Attack Volume: 71 ransomware attacks — 3.2% of the regional total, but the largest single concentration in South America.

Brazil represents South America's most complex threat environment, combining traditional ransomware pressure with a maturing, sophisticated financial malware ecosystem.

Threat Actor Concentration: The Gentlemen (15 attacks), LockBit, and a fragmented tail of smaller operators.

Sectoral Breakdown: Government & Law Enforcement, BFSI, and Healthcare are the most consistently targeted sectors.

Why Brazil Faces a Dual Threat

Beyond ransomware, Brazil emerged in H1 2026 as a focal point for new Android banking trojan families — TCLBANKER and BTMOB RAT — which use self-propagation, evasion techniques, and Malware-as-a-Service (MaaS) distribution models to target banking and cryptocurrency users directly. Brazil also suffered an alleged 250-million-record breach of Serasa, one of the country's largest credit bureaus, alongside an access sale allegedly targeting the Central Bank of Brazil — a listing that, if genuine, represents one of the most significant initial-access offerings tracked anywhere in the report.

Defensive Priority: Brazilian financial institutions should treat mobile banking malware and ransomware as converging risks rather than separate problems — the same underground economy is monetizing both. Government and BFSI entities should assume access-broker listings referencing critical national infrastructure require immediate incident-response-level validation, not routine monitoring.

Mexico: The Emerging Nearshoring Risk

Attack Volume: 39 ransomware attacks — 1.8% of the regional total.

Mexico's attack volume is meaningfully lower than the US, Canada, or Brazil, but its position within North American manufacturing supply chains — accelerated by ongoing nearshoring trends — makes it a nation to watch closely rather than dismiss.

Why Mexico Warrants Increased Attention

As global manufacturers continue relocating production closer to the US market, Mexican facilities increasingly sit inside the same supply chains that Dragonforce, Akira, and Qilin already target aggressively north of the border. Lower current attack volume may reflect earlier-stage targeting rather than lower risk — a pattern security teams should not mistake for durable safety.

Defensive Priority: Manufacturers with Mexican operations should extend the same OT/IT segmentation and vulnerability management discipline applied to US and Canadian facilities to their Mexican sites, rather than treating them as lower priority.

Colombia: Where Hacktivism Meets Cybercrime

Attack Volume: 33 ransomware attacks — 1.5% of the regional total.

Colombia's ransomware volume is modest, but the country stands out for the density of ideologically motivated activity layered on top of financially driven attacks.

Why Colombia Faces a Blended Threat

Groups such as Anonymous Colombia (#OpColombia) ran active campaigns throughout H1 2026 blending website defacement, DDoS attacks, and data leak activity — consistent with the broader South American pattern in which hacktivist-branded channels frequently overlap with financially motivated cybercrime infrastructure.

Defensive Priority: Colombian government and law enforcement entities — the most frequently targeted sector across South America overall — should treat hacktivist claims as credible threat intelligence signals rather than dismissing them as purely ideological noise.

Where Americas Organizations Face Maximum Risk: A Sectoral Analysis

Professional Services: One of the Top Targets

Attack Volume: The second most heavily impacted sector in North America.

Professional services firms — law, accounting, and consulting practices — are one of the top jobs on North America's ransomware target list, driven overwhelmingly by INC Ransom and AiLock's aggressive targeting of client-confidential data.

Why Professional Services Are Targeted

  1. Privileged Data Concentration: Legal privilege and client confidentiality create existential regulatory and reputational exposure that threat actors exploit for maximum ransom leverage.
  2. Regulatory Pressure: Breach notification requirements incentivize rapid ransom payment to avoid compounding disclosure penalties.
  3. Trust-Based Business Model: A single confirmed breach can permanently damage client relationships built entirely on confidentiality.
  4. Documented Actor Preference: INC Ransom has shown a specific, repeated preference for law firms — this is not incidental targeting.

Notable Incident Pattern: AiLock's activity stood out for a coordinated wave of victim disclosures on a single day — March 3, 2026 — a pattern consistent with mass-exploitation of a shared vulnerability rather than individually researched targeting.

Defensive Recommendations:

  • Segregate client data on separate network segments with distinct, audited access controls
  • Deploy data loss prevention (DLP) with aggressive egress monitoring for client-data exfiltration
  • Maintain comprehensive access logs for all sensitive client-data touchpoints
  • Evaluate ransomware-specific cyber insurance addressing confidentiality exposure

Construction and Manufacturing: The Downtime Economy

Attack Volume: Construction and Manufacturing rank first and third in North America; combined, they represent the largest share of Qilin, Akira, Dragonforce, and The Gentlemen's worldwide targeting.

Constructions and manufacturing share a common vulnerability across the Americas: both operate on tight, contractually enforced timelines where downtime translates directly into cascading financial penalties.

Why Construction and Manufacturing Are Targeted

  1. Time-Sensitive Financial Exposure: Missed construction deadlines trigger contractual penalties; halted production lines trigger lost revenue and breached delivery commitments.
  2. OT/IT Convergence: Modern factories and job sites increasingly integrate operational technology with corporate IT, creating exploitation bridges unavailable in pure-IT industries.
  3. Supply-Chain Complexity: Both industries depend on dense webs of subcontractors and suppliers — compromising one upstream partner can provide lateral access into prime contractors.
  4. Cross-Border Exposure: US-Canada-Mexico manufacturing integration (and increasingly, US-Brazil trade relationships) means a single compromise can propagate across national borders.

Defensive Recommendations:

  • Implement airgapped network segmentation between OT and corporate IT environments
  • Prioritize vulnerability patching for network appliances and identity systems over blanket patch cycles
  • Maintain fully offline, immutable backups of critical project and production data
  • Extend third-party risk assessments to subcontractors, suppliers, and cross-border subsidiaries

Healthcare: South America's Critical Infrastructure Threat

Attack Volume: One of the top four most heavily impacted sectors in South America.

Healthcare organizations across the Americas — but particularly in South America — face a threat dynamic distinct from financial pressure alone: ransomware attacks against hospitals directly endanger patient safety.

Why Healthcare Is Targeted

  1. Patient Safety Leverage: Downtime in diagnostic systems, pharmaceutical dispensing, and patient records directly threatens continuity of care, creating existential pressure to pay quickly.
  2. Documented Regional Incidents: The Gentlemen's claimed attack on Primero Medicina Privada and LockBit's compromise of Chile's Clínica Dávila both illustrate ransomware groups' willingness to target hospital networks directly.
  3. Data Value: Patient medical records and clinical data command premium prices on dark web marketplaces.
  4. System Complexity: Healthcare IT environments blend legacy diagnostic equipment, electronic health records, and connected medical devices — each with distinct security postures.

Defensive Recommendations:

  • Implement complete network isolation between clinical systems and corporate IT
  • Deploy redundant diagnostic and pharmaceutical systems capable of manual fallback operation
  • Encrypt all patient medical records end-to-end
  • Build healthcare-specific incident response plans addressing patient notification and continuity of care

Agriculture & Livestock: The Americas' Emerging Supply-Chain Target

Attack Volume: 33% of all North American initial access listings — the second-most targeted sector in the region's access brokerage market.

A distinctive Americas finding: initial access brokers targeting the region show unusually strong interest in Agriculture & Livestock, second only to Technology.

Why Agriculture & Livestock Is an Emerging Target

North America's food supply chain increasingly depends on connected logistics, cold-chain monitoring, and precision agriculture technology — creating an attack surface that did not meaningfully exist a decade ago. Access brokers appear to be positioning themselves ahead of ransomware operators, selling footholds into agricultural operations before ransomware crews weaponize them. This mirrors a pattern seen elsewhere globally but is particularly pronounced in North America's access brokerage data.

Defensive Recommendations:

  • Treat agricultural technology platforms (precision ag, cold-chain IoT) with the same security rigor as manufacturing OT
  • Monitor initial access broker markets specifically for agriculture and food-sector listings
  • Build incident response plans accounting for food-supply-chain continuity, not just data confidentiality

Geopolitical and Ideological Dimensions: Hacktivism Across the Hemisphere

SOLDADOS DIGITALES – UNIÓN AMERICANA: A Hemispheric Hacktivist Collective

Unlike most hacktivist channels tracked in this report, SOLDADOS DIGITALES – UNIÓN AMERICANA operates across both North and South America, making it one of the few genuinely hemispheric threat actors identified in H1 2026 — a significant finding given how regionally siloed most hacktivist activity tends to be.

Combined Hacktivism Metrics (North + South America):

  • ~140 confirmed data leak and dump posts across both sub-regions
  • At least 932 unique domains impacted (360 in North America, 572 in South America)
  • Primary targets: Government & LEA, Technology, BFSI, Telecommunication, Education

Notable Collectives by Sub-Region:

  • North America: SOLDADOS DIGITALES – UNIÓN AMERICANA, Anonymous #FreeTurtleIsland, KERALA HACKERS, LYSTIC TEAM #ID
  • South America: SOLDADOS DIGITALES – UNIÓN AMERICANA, Anonymous Colombia (#OpColombia) Y.A.N, BLAZER TEAM ATTACK

The Convergence Problem: As with hacktivist activity documented elsewhere in CRIL's global dataset, several Americas-based channels marketed as ideological collectives function as hybrid operations — logging DDoS attacks and defacement claims alongside stolen-data brokerage and DDoS-for-hire services. Security teams should treat these channels as credible threat intelligence sources rather than dismissing their claims as purely political theater.

Regional Threat Actor Summary: Who Targets Your Americas Organization

If You're in Professional Services:

  • Primary Threat: INC Ransom, Qilin
  • Secondary Threat: AiLock, The Gentlemen
  • Vulnerability: Client data exfiltration, regulatory breach-notification pressure
  • Defensive Focus: DLP, client data segregation, ransomware-specific cyber insurance, cyber threat intelligence

If You're in Manufacturing or Construction:

  • Primary Threat: Qilin, Akira, Dragonforce
  • Secondary Threat: The Gentlemen, Play
  • Vulnerability: OT/IT convergence, cross-border supply-chain exposure, contractual downtime penalties
  • Defensive Focus: OT segmentation, immutable backups, cross-border third-party risk management

If You're in Healthcare:

  • Primary Threat: The Gentlemen (South America), Qilin (North America)
  • Secondary Threat: LockBit
  • Vulnerability: Patient-safety leverage, legacy medical device integration
  • Defensive Focus: Clinical system isolation, redundant critical systems, patient-notification-ready incident response

If You're in BFSI:

  • Primary Threat: Data exfiltration actors, mobile banking malware (Brazil)
  • Secondary Threat: Qilin, The Gentlemen
  • Vulnerability: Financial data value, mobile malware convergence, regulatory exposure
  • Defensive Focus: DLP with aggressive egress controls, mobile threat monitoring, data encryption

If You're in Agriculture & Livestock:

  • Primary Threat: Initial access brokers
  • Secondary Threat: Downstream ransomware operators exploiting sold access
  • Vulnerability: Precision agriculture and cold-chain IoT exposure
  • Defensive Focus: OT-equivalent segmentation for agricultural technology, access-broker monitoring

If You're in Government & Law Enforcement (South America specifically):

  • Primary Threat: RALord/Nova, CoinbaseCartel, hacktivist-branded channels
  • Secondary Threat: LockBit, The Gentlemen
  • Vulnerability: Public-sector data value, hybrid ideological/financial targeting
  • Defensive Focus: Treat hacktivist claims as credible intelligence, harden citizen-data repositories

Strategic Defense Recommendations for Americas Organizations

Based on CRIL's H1 2026 regional data, Americas security leaders should prioritize defensive investment in the following sequence.

Phase 1: Critical Infrastructure Protection (30 days)

  • Inventory Network Appliances: Document every internet-facing firewall, VPN, and security gateway
  • Patch Critical CVEs: Prioritize Ivanti, Fortinet, Cisco, SolarWinds, and Palo Alto Networks appliances — the vendors repeatedly appearing in both the CISA KEV catalog and active exploitation campaigns
  • Harden Remote Access: Enforce phishing-resistant MFA on all administrative and remote access paths
  • Deploy Behavioral Monitoring: Watch for anomalous activity on network appliances specifically

Phase 2: Data Protection (60 days)

  • Data Inventory: Catalog sensitive holdings — client data, financial records, patient records, intellectual property
  • DLP Implementation: Deploy data loss prevention with aggressive egress monitoring
  • Encryption Standards: Enforce encryption in transit and at rest across all sensitive data stores
  • Access Auditing: Maintain comprehensive logs for every access event touching sensitive data

Phase 3: Operational Resilience (90 days)

  • Immutable Backups: Establish offline, immutable backup infrastructure isolated from production networks
  • Sector-Specific Incident Response: Build playbooks addressing construction project continuity, manufacturing downtime, and healthcare patient-safety scenarios specifically
  • Cross-Border Continuity Planning: For organizations with US-Canada-Mexico or US-Brazil operations, extend continuity plans across all connected facilities
  • Recovery Testing: Conduct quarterly backup restoration drills to verify actual recovery capability

Phase 4: Threat Hunting and Detection (Ongoing)

  • Named-Actor Threat Intelligence: Subscribe to intelligence feeds tracking Qilin, Akira, INC Ransom, Dragonforce, and The Gentlemen specifically
  • Access-Broker Monitoring: Track listings for organizational exposure
  • Supply-Chain Monitoring: Continuously assess vendor and subsidiary security posture across borders
  • Mobile Malware Awareness (Brazil-specific): Financial institutions should monitor for TCLBANKER- and BTMOB RAT-style Android banking trojan activity targeting customers

Conclusion: The Americas Ransomware Reality

The Americas is not just the largest ransomware theatre in the world by volume — it is two distinct threat environments operating under a single regional label. North America hosts a saturated, competitive RaaS marketplace where no single group dominates outright. South America is consolidating around a smaller set of operators, led decisively by The Gentlemen.

Key Takeaways:

  1. The Americas carries the global center of gravity: 2,188 of the world's 3,836 documented ransomware attacks (57%) struck North or South America in H1 2026.
  2. Five groups anchor the threat: Qilin (410), Akira (268), INC Ransom (171), Dragonforce (153), and The Gentlemen (146) collectively account for over half of all Americas ransomware activity — but their dominance splits sharply by sub-region.
  3. North America and South America require different playbooks: North America's threat model demands broad coverage against a long tail of competing operators; South America's demands deep, specific defense against The Gentlemen, Qilin, and LockBit.
  4. The United States remains the world's single largest target: 1,721 attacks — nearly 45% of global ransomware volume — makes the US the default target for virtually every major RaaS operator active today.
  5. Brazil's threat is compounding, not singular: ransomware, mass data breach, and mobile banking malware are converging in the same underground economy targeting the same financial institutions.
  6. Sector risk follows economic logic, not chance: Professional Services, Manufacturing, Construction, Healthcare, and — distinctively for the Americas — Agriculture & Livestock face targeting because threat actors have identified specific, exploitable economic pressure points in each.
  7. Access brokers are a leading indicator: a small number of sellers control the region's initial access market and routinely precede ransomware deployment by weeks.

For security leaders across North and South America, the strategic imperative is the same even where the tactical details diverge: know which named actors are active in your specific country and sector, prioritize risk-based patching over blanket cycles, treat data exfiltration as inevitable rather than optional, and build recovery infrastructure that assumes an attack will happen — not one that hopes it won't. The data confirms the Americas will remain the world's most heavily targeted ransomware region through the remainder of 2026. The only open question is how prepared each organization chooses to be.


Frequently Asked Questions (FAQs)

How many ransomware attacks hit the Americas in H1 2026?

2,188 documented ransomware attacks were observed across North and South America in H1 2026, according to Cyble Research and Intelligence Labs (CRIL) findings.

Which ransomware group is most active in the Americas in H1 2026?

Qilin is the most active group across the combined Americas, with 410 documented attacks (370 in North America, 40 in South America). Within South America specifically, however, The Gentlemen — not Qilin — is the dominant actor.

How many ransomware attacks hit North America in H1 2026?

CRIL recorded 1,981 ransomware attacks in North America during H1 2026, representing roughly 52% of all ransomware activity tracked worldwide.

How many ransomware attacks targeted the US in H1 2026? Is it the highest?

Yes. CRIL observed 1,721 ransomware attacks targeted at the US — which is 78.7% of the American continent (North and South, both), and nearly 45% of every ransomware attack recorded worldwide.

Which sector was the most targeted in South America?

IT & ITES remained the most targeted sector in South America for H1 2026.

Ransomware actors targeted which country the most in South America?

Brazil. With 71 attacks, it was the prime target of ransomware actors in H1 2026.

Is Brazil a significant ransomware target?

Yes. Brazil recorded 71 ransomware attacks — the highest total in South America — and additionally faced an alleged 250 million record breach at credit bureau Serasa, an access sale allegedly targeting the Central Bank of Brazil, and new Android banking trojan families (TCLBANKER, BTMOB RAT) targeting financial and cryptocurrency users.

What is the most targeted industry in the Americas?

Construction tops North America's target list, while IT & ITES, Healthcare, and Professional Services top South America's. Across the whole Americas, Construction and Manufacturing remain consistently high-risk due to their low tolerance for operational downtime.

The post Ransomware Threats in the Americas H1 2026: Dissecting the Regional Attack Patterns and Dominant Actors appeared first on Cyble.

  • ✇Blog – Cyble
  • Ransomware Now Shows Up in Nearly Half of All Breaches: A Survival Playbook for Lean Security Teams Ashish Khaitan
    Ransomware stopped being an isolated incident type in 2025. It became the dominant force behind the modern breach landscape, and the ransomware data breach statistics from Cyble's own tracking make the shift impossible to ignore. For organizations facing this growing threat, having a ransomware incident response plan in place is becoming just as important as preventing an attack in the first place. Cyble's Global Cybersecurity Report 2025 documented 5,967 ransomware attacks for the year, a 5
     

Ransomware Now Shows Up in Nearly Half of All Breaches: A Survival Playbook for Lean Security Teams

10 de Agosto de 2026, 09:44

ransomware incident response plan

Ransomware stopped being an isolated incident type in 2025. It became the dominant force behind the modern breach landscape, and the ransomware data breach statistics from Cyble's own tracking make the shift impossible to ignore. For organizations facing this growing threat, having a ransomware incident response plan in place is becoming just as important as preventing an attack in the first place.

Cyble's Global Cybersecurity Report 2025 documented 5,967 ransomware attacks for the year, a 50% year-over-year jump. Against the 6,046 data breaches and leaks recorded in the same period, ransomware accounted for nearly half — 49.7% — of the combined ransomware-and-breach total tracked by Cyble Research and Intelligence Labs (CRIL). That's the "nearly half" this blog's title refers to, and it isn't a projection. It's what Cyble observed. 

The pace hasn't slowed into 2026: 

Ransomware-as-a-service Threats Have Removed the Skill Barrier 

CRIL identified 57 new ransomware groups and 27 new extortion groups in 2025, alongside more than 350 new ransomware strains built largely on the MedusaLocker, Chaos, and Makop families.  

This is the mechanics of RaaS: affiliates rent pre-built toolkits, and operational capacity scales faster than any single group's headcount. Between January and April 2025, this dynamic drove an 86% spike in global incidents, with Cl0P alone responsible for 28% of that quarter's activity, per Cyble's Ransomware Threat Landscape report. 

Double Extortion Ransomware is the Baseline, Not the Exception 

Encrypt-and-leak is now standard operating procedure. CRIL's research into extortion technique evolution tracked groups layering in triple extortion (DDoS on top of encryption and data theft) and direct outreach to a victim's clients — a tactic CL0P has used to compound reputational damage beyond the initial breach. For a lean team, this means "we have backups" no longer neutralizes the threat; the data theft component still forces a decision. 

Why Cost Pressure Hits Small Teams Hardest 

Cyble's Europe Q1 2026 findings noted that attackers are deliberately targeting sectors with narrow downtime tolerance — manufacturing and construction firms face contract penalties and supply-chain breakage within days of an outage, which shortens the runway between intrusion and ransom decision. Lean security teams, by definition, have the least slack to absorb that pressure. 

How to Prevent Ransomware Attacks in 2026: What the Data Points to 

The October 2025 surge to 5,194 year-to-date attacks was fueled by a steady supply of critical vulnerabilities and unpatched internet-facing assets, per Cyble's analysis. For small teams, prevention priorities follow directly from that finding: 

  • Patch internet-facing systems against CISA KEV entries first — over 86% carry CVSS scores of 7.0 or higher. 

  • Treat remote-management tools (RMM, VPN, RDP) as high-risk attack surface; Qilin affiliates have abused WinSCP, AnyDesk, and ScreenConnect for lateral movement. 

  • Monitor for BYOVD (Bring Your Own Vulnerable Driver) activity, a technique increasingly paired with credential-harvesting toolkits. 

Zero Trust Security for Small Teams is Achievable Without Enterprise Budgets 

Zero trust doesn't require a full architecture overhaul on day one. The practical entry points for a lean team: 

  • Enforce MFA on every remote access path, especially RMM and VPN tools — the same tools driving initial access in Cyble's tracked campaigns. 

  • Segment networks so a single compromised endpoint can't reach backup infrastructure. 

  • Apply least-privilege access reviews quarterly, not annually. 

Endpoint Detection and Response for Small Business is the Non-negotiable Layer 

Given that Qilin and similar groups deploy Linux-based binaries on Windows hosts and harvest credentials via NirSoft and Mimikatz-style toolkits, EDR coverage across every endpoint — not just servers — is the difference between detection in hours versus discovery via a ransom note. 

Building a Ransomware Incident Response Plan Before it's Needed 

A working ransomware incident response plan and cybersecurity incident response checklist should cover, at minimum: 

  • Pre-approved communication chain (legal, leadership, cyber insurance, law enforcement contact) that doesn't depend on compromised email. 

  • Isolated, tested offline backups with a documented restoration time objective. 

  • A decision framework for the ransom-payment question, made before an attack, not during one. 

  • Log retention sufficient to reconstruct the intrusion timeline for post-incident analysis. 

Ransomware Recovery Best Practices After the Encryption Hits 

The ransomware incident response plan and recovery speed depend on preparation done months earlier: validated backup integrity, a pre-mapped list of critical systems in priority order, and a rehearsed communication plan for customers and regulators. Teams that treat recovery as an extension of the incident response plan — rather than an improvised scramble — cut both downtime and the pressure to pay. 

How Cyble Can Help 

Every ransomware statistic in this ransomware incident response plan playbook — the leak-site counts, the group rankings, the extortion techniques, the sector targeting — traces back to one thing: visibility into where attackers operate before they hit a victim's network. That's the gap Cyble Vision is built to close. 

Cyble Vision is the threat intelligence platform behind CRIL's own research, continuously monitoring deep, dark, and surface web sources — ransomware leak sites, underground forums, and threat actor chatter — through its Blaze AI engine.  

For a lean security team, that means the same early-warning signal CRIL uses to track Qilin, Akira, and every emerging RaaS affiliate becomes available as a live feed for their own organization: exposed credentials, brand mentions on cybercrime forums, ransomware group activity tied to their sector, and third-party breach exposure, all correlated and prioritized automatically instead of requiring a dedicated analyst to piece it together manually. 

For a team that can't staff round-the-clock dark web monitoring or manually track which of the dozens of active ransomware groups is circling their industry, this is the difference between finding out from a leak site and finding out weeks earlier. 

Lean teams can't out-staff ransomware operators, but they can out-see them. Request a Cyble Vision demo to get the same dark web and ransomware-tracking intelligence CRIL uses to build reports like this one — built for teams that need to know who's targeting them before the leak site does. 

Conclusion 

A ransomware incident response plan for small security teams isn't about matching enterprise headcount. It's about aligning limited resources against the specific mechanics CRIL has documented: patch the exploited CVEs first, lock down remote-access tools, deploy EDR broadly, and rehearse the incident response plan before the RaaS-fueled affiliate economy finds the gap. 

References: 

The post Ransomware Now Shows Up in Nearly Half of All Breaches: A Survival Playbook for Lean Security Teams appeared first on Cyble.

Pass the Passkey: A Novel Attack Surface in Passwordless Authentication

3 de Agosto de 2026, 07:00

Explore how passkey implementation gaps undermine security when relying parties fail to validate the User Verified flag, reducing MFA to a single factor.

The post Pass the Passkey: A Novel Attack Surface in Passwordless Authentication appeared first on Unit 42.

CaptiveCrunch: Midnight Blizzard targets travelers worldwide for malware delivery and credential theft

Since early May 2026, Microsoft Threat Intelligence has observed Storm-2945, a sub-cluster of Midnight Blizzard, conducting widespread but targeted traffic manipulation attacks involving hospitality sector networks served by captive portals worldwide. Despite some tactic, technique, and procedure (TTP) similarities to the Forest Blizzard DNS hijacking operation that we publicly disclosed in April 2026, we attribute this campaign, which we call CaptiveCrunch, to Storm-2945. As reported by ReliaQuest on July 23, a portion of this activity leverages doppelganger domains mimicking Microsoft online services to conduct follow-on adversary-in-the-middle (AitM) phishing operations that abuse the device code authentication flow in Microsoft Entra ID. Microsoft Threat Intelligence has also identified active traffic manipulation attacks leading to the delivery of malware on impacted systems. Microsoft has observed Storm-2945 leveraging AI to support a significant portion of these operations.

Today, we are sharing our findings on these ongoing intrusions to raise awareness of this threat and enable customers to protect their devices, especially while traveling. We provide our assessment of Storm-2945’s relationship to Midnight Blizzard and analysis of the CaptiveCrunch campaign, detailing the malware and tradecraft used in these operations. We also provide mitigation, detection, and hunting guidance to help organizations identify and defend against Storm-2945 and related activity.

Microsoft Threat Intelligence would like to thank our partners at Anthropic and OpenAI for their collaboration and support during this investigation.

The CaptiveCrunch campaign

Since February 2026, Storm-2945 has conducted AI-augmented operations including targeted device code and OAuth code phishing campaigns leading to Entra device registration and subsequent data collection from Microsoft 365. Since early May 2026, Microsoft Threat Intelligence has observed Storm-2945 manipulating DNS and HTTP traffic from networks served by captive portals to redirect user traffic through actor-controlled infrastructure. Although our investigation into the initial compromise vector for the captive portal networks is ongoing, we have observed notable commonalities in the equipment and management systems used across multiple affected networks. These similarities suggest that the activity might not be limited to isolated compromises of individual venues and could reflect access to shared services within portions of the captive portal ecosystem.

Diagram depicting an overview of the CaptiveCrunch campaign attack flow
Figure 1. Overview of the CaptiveCrunch attack flow

As part of the CaptiveCrunch campaign, Storm-2945 has leveraged their AitM position to redirect users through actor-controlled phishing infrastructure and has also delivered malware purporting to be browser or operating system updates in response to automated connectivity checks issued by users’ browsers. Multiple variants have been delivered, including fully-featured Windows remote access trojans (RAT) in compiled Golang, with functionality to conduct system enumeration, collect files and keystrokes, steal credentials and session tokens, conduct audio and video surveillance, monitor for removable media, and provide the threat actor a remote shell on infected systems.  

The threat actor infrastructure leverages a variety of ClickFix techniques to elicit the user into downloading and executing the malware:

A Windows Driver Repair Utility interface, with instructions for manually repairing a failed automated driver repair, including steps to run a verification script via Windows Terminal.
Figure 2. ClickFix prompt with manual user instructions
A Google web page claiming the verification check failed with additional manual instructions for the user to follow.
Figure 3. ClickFix prompt with additional user instructions after verification failure

In addition to variants of malware targeting Windows systems, Microsoft Threat Intelligence is also aware of indications that the threat actor might be targeting Android devices with similar techniques as the ClickFix landings also include instructions for Android devices to download and install an APK file.

To date, Microsoft has identified widespread compromise of Wi-Fi networks at hospitality-related organizations and other networks serviced by captive portal equipment in several countries. ReliaQuest has identified this activity not only at hotels, but also conference centers and other shared venues, and assesses that the goal of this activity is to access the accounts of corporate travelers.

Storm-2945 and Midnight Blizzard

Microsoft Threat Intelligence assesses that Storm-2945 is an operational sub-cluster of Midnight Blizzard based on distinctive technical and operational overlaps. These include technical similarities to Storm-2372, a Midnight Blizzard initial access operations sub-cluster, also notable for their device code and OAuth code phishing operations tracked throughout 2025, Microsoft Graph-based email exfiltration, social engineering delivered via commercial messaging apps, and significant similarities in victimology.

Midnight Blizzard is a Russia-based threat actor attributed by the US and UK governments to the Foreign Intelligence Service of the Russian Federation, also known as the SVR. This threat actor is known to primarily target governments, diplomatic entities, non-governmental organizations (NGOs), and information technology (IT) service providers, primarily in the US and Europe. Midnight Blizzard is consistent and persistent in their operational targeting, and their objectives rarely change. Their focus is to collect intelligence through longstanding and dedicated espionage in support of Russian foreign policy interests.

Midnight Blizzard operations often involve compromise of valid accounts and, in some highly targeted cases, advanced techniques to compromise authentication mechanisms within an organization to expand access and evade detection. They utilize diverse initial access methods, and Midnight Blizzard is also adept at identifying and abusing OAuth applications to move laterally across cloud environments and for post-compromise activity, such as email collection.

CaptiveCrunch tradecraft and tooling

CornFlake: Remote access and infostealer implant

CornFlake is a full-featured Windows RAT written in Go that serves as Storm-2945’s primary persistent implant. Microsoft has observed the threat actor rapidly iterating on this malware layer, which features customizable capabilities from the social engineering user interface and data collection capabilities to anti-detection and evasion techniques.

On initial execution, CornFlake operates in dropper mode: it displays a convincing fake progress window designed to occupy the victim’s attention while the binary copies itself to %APPDATA%\svchost32\svchost32.exe and establishes persistence.

Fake window options configurable by the threat actor at build time:

  • winupdate — A Windows Update screen displaying “Working on updates… Don’t turn off your computer”
  • defender — A Windows Security virus scan
  • directx — A DirectX End-User Runtime Web Installer
  • vcredist — A Microsoft Visual C++ 2015-2022 Redistributable installer
  • sysopt — A disk optimization utility
  • netfix — A Windows Network Diagnostics tool
  • browser — A browser update prompt
  • pdfview — A document viewer installer
A false update window claiming the updates are 3 percent downloaded.
Figure 4. False update window

CornFlake registers as a Windows service named svchost32 with the display name “Cloud Sync Service” and description “Synchronizes files with the cloud storage provider”, deliberately mimicking the legitimate svchost.exe process. It establishes redundant persistence mechanisms: Windows service registrations, Registry Run keys, named scheduled tasks, and a persistence watchdog routine that runs continuously to restore any persistence mechanism that is removed by defenders or endpoint protection.

For command and control (C2), CornFlake performs an Elliptic Curve Diffie-Hellman (ECDH) P-256 ephemeral key exchange with the C2 server, derives a session key via SHA-256, and communicates over a custom JSON protocol framed within the encrypted channel. This provides an encrypted channel to the C2 server, with each C2 session using a unique ephemeral key, making decryption of captured traffic impossible without the session-specific private key. The runtime configuration file sync.dat supports hot reconfiguration of C2 servers, watched directories, file targeting patterns, and Transport Layer Security (TLS) settings without requiring redeployment.

Once established on a victim system, CornFlake provides the operator with a comprehensive collection toolkit, gated by configuration flags that allow selective activation post-deployment:

CapabilityDescription
KeyloggingRaw input API-based keylogger capturing all keystrokes, including password fields
Clipboard monitoringCaptures clipboard changes with SHA-256 deduplication and records the active window title at time of capture
Screenshot captureIdle-triggered and on-demand screenshots with configurable idle threshold
Audio surveillanceWindows Audio Session API (WASAPI)-based microphone capture, encoded as WAV files
Video surveillanceMedia Foundation-based webcam capture, encoded as JPEG
Browser credential theftChromeKatz-derived module supporting live cookie extraction from process memory (Chromium browsers) and stored password extraction from on-disk databases, including Chrome App-Bound Encryption (ABE) bypass and Firefox NSS/SDR decryption
File exfiltrationTargets files based on file extensions with real-time file system monitoring and an upload throttle (1,000 files or 500 MB per cycle). File extensions are categorized as Documents, Archives, Images, Code, Data, Emails, and Keys
USB drive monitoringDetects and scans removable media when inserted
Security posture sweepCollects 18 categories of host intelligence including installed software, antivirus (AV)/endpoint detection and response (EDR) products, Defender exclusions, User Account Control (UAC) level, Remote Desktop Protocol (RDP) history, Office most recently used (MRU) files, and credential hints
Remote shellArbitrary command execution via cmd.exe or PowerShell (with -NoP flag to suppress profile-based detection)

CornFlake also exposes a localhost HTTP API server (/upload, /reload, /status) that transforms the RAT into a modular platform: companion or next-stage payloads such as ChocoShell could task file exfiltration, trigger configuration hot reloads or check C2 connectivity using the pre-established secure C2 channel for communication.

ChocoShell: PowerShell infostealer

ChocoShell is the campaign’s Powershell-based infostealer, delivered and executed entirely in-memory. Its primary objective is the high-volume theft of browser session cookies, saved passwords, Microsoft 365 Single Sign-On (SSO) tokens, and Wi-Fi credentials from compromised systems. Where CornFlake provides the operator with a persistent, long-running foothold on the device, ChocoShell is designed to extract the most operationally valuable credentials, giving the operator access to victim cloud environments.

The ChocoShell script was authored with full developer comments that reveal the operator’s intent behind each code decision, including explicit references to Microsoft detection signatures and the reasoning behind specific evasion choices. The consistent coding standard and descriptive commentary suggest the author might have leveraged AI-assisted code generation.

Defense evasion. Upon execution, ChocoShell beacons to a hardcoded C2 server at 213.145.86[.]112 and implements several evasion techniques in sequence. It disables the Antimalware Scan Interface (AMSI) via .NET reflection to prevent ScriptBlock scanning and evades Microsoft behavioral detection that triggers on suspicious PowerShell web request cmdlets. A timing-based sandbox detection check is also employed as a virtual machine (VM) detection mechanism, silently exiting without performing any collection if detected.

C2 communication. ChocoShell communicates with its C2 server using HTTPS with URI paths designed to blend in with legitimate web traffic. Beacons use /t/pixel.gif?m=<status>, mimicking an image tracking pixel. Additional tooling is fetched from /cdn/chunks/polyfill-7e2b.min.js, disguised as a JavaScript polyfill file. This downloaded module is Base64-decoded and executed in memory via [ScriptBlock]::Create(), providing browser encryption key extraction capabilities, SYSTEM token impersonation, and Defender signature locking. Exfiltrated data is sent by POST to /t/event as GZip-compressed, Base64-wrapped JSON.

Privilege escalation. ChocoShell requires administrative privileges for its most impactful capabilities: SYSTEM token impersonation for Chrome ABE decryption, Volume Shadow Copy Service (VSS) shadow copy creation, Defender signature locking. It implements three silent UAC bypass techniques with ordered fallback:

  1. SilentCleanup task hijack: Writes a malicious command to HKCU\Environment\windir, then triggers the built-in SilentCleanup scheduled task, which resolves %windir% from the user’s environment, executing the threat actor’s command at elevated privilege. The registry value is cleaned up after two seconds to avoid cloud detection.
  2. wsreset.exe COM hijack: Creates a COM handler key in HKCU\Software\Classes and launches the auto-elevating Windows Store reset tool.
  3. sdclt.exe folder hijack: Hijacks HKCU\Software\Classes\Folder\shell\open\command and launches the Windows Backup utility with the /KickOffElev flag.

If none of the silent bypasses succeed (for example, the user is not a local administrator), ChocoShell falls back to a visible UAC prompt via Start-Process -Verb RunAs. Notably, the script also contains a variant designed to execute within the WinGet Desired State Configuration (DSC) host process (ConfigurationRemotingServer), suggesting an attack vector through malicious WinGet DSC configuration used in Windows machine provisioning.

Credential and session theft. Once running with elevated permissions, ChocoShell locks Defender signature updates and systematically harvests data from multiple sources. For Chromium-based browsers (Chrome, Edge, Brave, Opera, Opera GX, Vivaldi), it extracts the master encryption key from the browser’s Local State file, handling both the modern ABE scheme (Chrome v127+) and the legacy data protection API (DPAPI)-only scheme. ABE decryption requires SYSTEM-level DPAPI access, which the malware obtains by impersonating a SYSTEM process token borrowed from winlogon.exe, wininit.exe, or services.exe. Locked browser SQLite databases are accessed through three strategies: shared file access, Volume Shadow Service snapshots, and direct copy as a fallback.

As a parallel collection path, ChocoShell launches Chrome, Edge, and Brave with the –remote-debugging-port flag and issues Network.getAllCookies through the Chrome DevTools Protocol (CDP). This completely bypasses ABE, enabling the browser to perform its own internal decryption and returns plaintext cookie values. To handle privilege issues (SYSTEM-launched browsers inherit the wrong token), the malware creates transient scheduled tasks with TASK_LOGON_INTERACTIVE_TOKEN to launch the browser under the signed-in user’s session. After extraction, the browser is stopped and relaunched with –restore-last-session to avoid alerting the user.

For Firefox family browsers (Firefox, Waterfox, LibreWolf, Floorp, Zen), the malware copies unencrypted cookies.sqlite databases from each profile. Additionally, ChocoShell collects Microsoft 365 and Azure Active Directory (AD) access tokens, refresh tokens, and Web Account Manager (WAM) tokens from .tbres files in the Token Broker cache. Collection of these tokens represents a significant threat to enterprise environments, as threat actors could replay SSO sessions without browser cookies. Additionally, Wi-Fi credentials are harvested via netsh wlan show profile with key=clear.

Exfiltration and cleanup. All collected data is aggregated into a JSON structure, GZip-compressed, Base64-encoded, and sent by POST to the C2’s /t/event endpoint. After exfiltration, all collected data variables are nulled, garbage collection is forced, VSS shadow copies are deleted via Windows Management Instrumentation (WMI), temporary elevation scripts are removed, and all UAC bypass registry keys (already cleaned during escalation) are verified removed.

FruitStone: Operator C2 panel

FruitStone is the web-based C2 panel that Storm-2945 operators use to manage the entire CaptiveCrunch campaign infrastructure. Implemented as a single-page application (HTML and JavaScript) serving as the front-end of the C2 server with all functionality exposed without authentication, FruitStone provides a centralized dashboard for managing compromised endpoints, building and deploying new campaign payloads, and reviewing all collected data (such as screenshots, keystrokes, browser credentials).

Operational cover. The panel is branded as “CloudSync Console” with a footer reading “Acuity Systems, Inc. — Cloud Infrastructure Portal v3.2.1,” designed to appear as legitimate enterprise cloud management software if the panel URL is discovered by defenders or hosting providers. This masquerading extends to the CornFlake agent’s service name (Cloud Sync Service) and description (“Synchronizes files with the cloud storage provider”), creating a consistent cover story across the toolchain.

The CloudSync Console masquerading as Acuity Systems, Inc. sign-in panel.
Figure 5. CloudSync Console panel masquerade

Session management and multi-operator support. FruitStone uses JSON Web Token (JWT)-based authentication, session revocation, and rate limiting with IP blocking to prevent brute force attacks against the panel sign in. Multiple operators could be provisioned with individual accounts, and all active sessions are visible with IP address, user-agent, and creation time to enable operational security awareness across the operators.

Agent management. The panel displays all registered CornFlake agents in a dashboard with real-time status updates via Server-Sent Events (SSE). Each agent card shows comprehensive system information including hostname, username, OS version, CPU, RAM, disk usage, screen resolution, timezone, domain membership, and camera/microphone presence, all collected during the CornFlake posture sweep. Agents are grouped by country and subnet, with geographic distribution visualized on a map.

Operators could interact with individual agents through:

  • Remote shell — Interactive cmd.exe or PowerShell command execution with command history
  • File system browser — Live directory traversal and arbitrary file download from compromised hosts
  • Collection tasking — On-demand screenshot, process list, keylog buffer flush, clipboard dump, security posture survey, ChromeKatz cookie/password extraction, camera capture, and audio recording
  • Configuration push — Live runtime reconfiguration of C2 servers, watch paths, and C2 beacon timing
  • Agent update — In-place implant update by pushing a new CornFlake build to a running agent
  • Agent kill — Remote termination of the CornFlake implant

Campaign builder. A step-by-step wizard enables operators to configure and build new CornFlake payloads directly from the panel:

  1. Identity — Campaign ID, C2 host and port, HTTP base URL, executable file name (svchost32.exe by default), and dropper type (C dropper at ~19 KB, Go stub at ~8 MB, or standalone self-installer)
Figure 6. Identity tab
  1. Capabilities — Toggle individual collection modules: screenshots, process enumeration, keylogging, clipboard monitoring, posture survey, file exfiltration, and ChromeKatz browser credential theft
Figure 7. Capabilities tab
  1. File Paths — Configure targeted directories and file extensions by category (documents, archives, images, code, data, emails, encryption keys)
Figure 8. File paths tab
  1. Evasion — Enable garble symbol randomization (for GoLang payloads), XOR string encoding, GZip upload compression, and debug mode
Figure 9. Evasion tab

Infrastructure management. FruitStone provides management interfaces for three layers of supporting infrastructure:

  • Proxy relays — Multi-proxy C2 relay architecture with TLS certificate tracking (fingerprint, expiry), health checks, connection counts, bytes forwarded, and rotation capabilities that push updated server lists to all online agents
  • Beacon profiles — Configurable timing profiles controlling agent sleep intervals, reconnection delays, TLS Server Name Indication (SNI) spoofing (like teams.microsoft.com), and DNS fallback domains
  • Staging servers — External payload hosting infrastructure with push-to-deploy, file listing, and health monitoring
Figure 10. View of the CloudSync staging servers interface

Device code abuse for cloud access

Since July 16, Microsoft has observed a portion of CaptiveCrunch landing pages redirecting users to device code authentication flow experiences. In these cases, users served these landings might be instructed to enter a device code into a legitimate Microsoft sign-in page, a technique commonly referred to as device code phishing.

Device code authentication is a legitimate OAuth workflow designed for devices that cannot support a traditional sign-in experience. However, threat actors could abuse this flow by initiating an authentication request on behalf of a user then convincing the user to enter an actor-controlled device code into a legitimate Microsoft authentication page. When successful, the victim authenticates the threat actor’s session rather than their own.

This activity is consistent with previously reported device code phishing operations conducted by Midnight Blizzard since August 2024. The observed technique does not appear fundamentally novel; however, integrating device code phishing into captive portal and traffic manipulation operations might increase the likelihood that users perceive the authentication request as legitimate. For additional details on Midnight Blizzard-related device code phishing techniques, see: Storm-2372 conducts device code phishing campaign. To understand other threat actors’ use of device code phishing and associated mitigations, see Inside an AI‑enabled device code phishing campaign.

How to protect against CaptiveCrunch activity

Minimize trust in hospitality and guest networks

When traveling, users should treat hotel, conference, airport, and other guest wireless networks as untrustworthy.

  • Prefer private connectivity (including mobile hotspots, satellite, and eSIM-based cellular data connections) over public Wi‑Fi whenever practical.
  • Consider using enterprise-managed travel routers or hotspot devices that establish encrypted tunnels back to trusted corporate infrastructure before accessing sensitive resources.
  • Avoid downloading software updates, certificates, browser updates, network troubleshooting tools, or security utilities presented through captive portals or other unexpected web prompts.
  • Verify update requests through trusted operating system mechanisms rather than pop-up messages or website prompts.

Strengthen identity and access controls

Organizations should assume that public and hospitality network infrastructure might not be trustworthy and should adopt controls that limit exposure to traffic manipulation, credential theft, and device code phishing.

  • Educate users to recognize ClickFix-style prompts, fake verification checks, and paste-and-run instructions as malicious, especially when they invoke command interpreters or script hosts such as cmd.exe, PowerShell, rundll32.exe, or mshta.exe.
  • Use passwordless solutions like passkeys and implement multifactor authentication (MFA).
  • Only allow device code flow where necessary. Microsoft recommends blocking device code flow wherever possible. Where necessary, configure Microsoft Entra ID’s device code flow in your Conditional Access policies.
  • Implement a sign-in risk policy to automate response to risky sign-ins. A sign-in risk represents the probability that a given authentication request is not authorized by the identity owner. A sign-in risk-based policy can be implemented by adding a sign-in risk condition to Conditional Access policies that evaluates the risk level of a specific user or group. Based on the risk level (high/medium/low), a policy can be configured to block access or force MFA.
    • When a user is a high risk and Conditional access evaluation is enabled, the user’s access is revoked, and they are forced to re-authenticate.
    • For regular activity monitoring, use Risky sign-in reports, which surface attempted and successful user access activities where the legitimate owner might not have performed the sign-in. 
  • Use a Security Service Edge (SSE) solution like Global Secure Access to secure access to any app or resource using network, identity, and endpoint access controls.

Reduce exposure during captive portal registration

Organizations should review what information employees provide to hospitality providers when connecting to guest networks.

  • Do not reuse corporate credentials on hotel, conference, or guest-network registration pages.
  • Where possible, organizations should evaluate whether venue-provided wireless is required for corporate events and conferences.
  • Organizations should minimize unnecessary disclosure of employee identities, organizational affiliations, and travel details when booking accommodations or registering for guest network access, consistent with corporate policy and applicable local requirements.

Microsoft Defender detections and hunting guidance

Microsoft Defender customers can refer to the list of applicable detections below. Microsoft Defender coordinates detection, prevention, investigation, and response across endpoints, identities, email, apps to provide integrated protection against attacks like the threat discussed in this blog.

Microsoft Defender for Endpoint detects Storm-2945 activity under the detection Suspicious activity linked to a Russian state-sponsored threat actor has been detected. However, these alerts might be triggered by unrelated threat actor activity. The following chart lists Microsoft Defender detections specific to the TTPs utilized by Storm-2945 in this attack.

Tactic Observed activity Microsoft Defender coverage 
Initial accessFile download via captive portal redirection Microsoft Defender for Endpoint – Suspicious downloaded file
Initial accessClickFix technique, fake browser or OS update, initial file downloadMicrosoft Defender for Endpoint
– Possible initial access from an emerging threat
– Possible ClickFix activity
PersistenceCornFlake registers a Windows service, a Registry Run key, a scheduled taskMicrosoft Defender for Endpoint
– Suspicious Scheduled Task Process Launched  
– Suspicious scheduled task
– Suspicious file added to run key
– Suspicious service registration

Microsoft Entra ID Protection
– Microsoft Entra threat intelligence
– Verified threat actor IP
Stealth/Defense evasionChocoShell disables AMSIMicrosoft Defender for Endpoint
– Possible Antimalware Scan Interface (AMSI) tampering
Credential accessChocoShell’s theft of browser session cookies, saved passwords, Microsoft 365 SSO tokens, and Wi-Fi credentials.   Device code abuse.Microsoft Defender for Endpoint
– Possible theft of passwords and other sensitive web browser information
– Suspicious DPAPI activity

Microsoft Defender For Identity
– Anomalous OAuth device code authentication activity

Microsoft Defender XDR
– User account compromise via OAuth device code phishing
– Malicious sign in from an IP address associated with recognized attacker infrastructure
– Suspicious Azure authentication through possible device code phishing
CollectionCornFlake monitoring and loggingMicrosoft Defender for Endpoint
– Activity that might lead to information stealer
Privilege escalationChocoShell UAC bypass techniquesMicrosoft Defender for Endpoint
– UAC bypass was detected
– Possible Component Object Model (COM) hijacking

Microsoft Security Copilot

Microsoft Security Copilot is embedded in Microsoft Defender and provides security teams with AI-powered capabilities to summarize incidents, analyze files and scripts, summarize identities, use guided responses, and generate device summaries, hunting queries, and incident reports.

Customers can also deploy AI agents, including the following Microsoft Security Copilot agents, to perform security tasks efficiently:

Security Copilot is also available as a standalone experience where customers can perform specific security-related tasks, such as incident investigation, user analysis, and vulnerability impact assessment. In addition, Security Copilot offers developer scenarios that allow customers to build, test, publish, and integrate AI agents and plugins to meet unique security needs.

Threat intelligence reports

Microsoft Defender XDR customers can use the following threat analytics reports in the Defender portal (requires license for at least one Defender XDR product) to get the most up-to-date information about the threat actor, malicious activity, and techniques discussed in this blog. These reports provide the intelligence, protection information, and recommended actions to prevent, mitigate, or respond to associated threats found in customer environments.

Microsoft Security Copilot customers can also use the Microsoft Security Copilot integration in Microsoft Defender Threat Intelligence, either in the Security Copilot standalone portal or in the embedded experience in the Microsoft Defender portal to get more information about this threat actor.

Hunting queries

Microsoft Defender XDR

Microsoft Defender XDR customers can run the following advanced hunting queries to find related activity in their networks:

Detect file creation after Wi-Fi connectivity test on devices

The following query checks for a file creation on a device within two minutes of the device performing built‑in Network Connectivity Status Indicator (NCSI) test, which occurs when network connectivity is established to a Wi-Fi network with a captive portal. This activity might indicate an attacker’s initial access file presence on a device.

Please note that not all files discovered through this query might be malicious or related to this threat activity.

let ncsi_endpoints = dynamic(["msftconnecttest.com","edge-http.microsoft.com","msftncsi.com","captive.apple.com","clients1.google.com",
    "clients3.google.com","clients4.google.com","clients6.google.com","connectivitycheck.gstatic.com","connectivitycheck.android.com",
    "android.clients.google.com","www.gstatic.com","detectportal.firefox.com","detectportal.brave-http-only.com","cloudflareportal.com",
    "cloudflarecp.com","cloudflareok.com","connectivity-check.warp-svc","connectivity.cloudflareclient.com","spectrum.s3.amazonaws.com",
    "nmcheck.gnome.org"]);
let NCSIEvents = DeviceNetworkEvents
    | where Timestamp > ago(7d)
    | where RemoteUrl has_any (ncsi_endpoints)
    | project NCSI_Timestamp = Timestamp, DeviceId, DeviceName, RemoteUrl, NCSI_ReportId = ReportId, NCSI_InitiatingProcessFileName = InitiatingProcessFileName, NCSI_InitiatingProcessCommandLine = InitiatingProcessCommandLine, NCSI_AccountName = InitiatingProcessAccountName;
let FileDownloadEvents = DeviceFileEvents
    | where Timestamp > ago(7d)
    | where ActionType == "FileCreated"
    | where FileName has_any (".exe",".msi",".zip",".rar",".7z")
    | project Download_Timestamp = Timestamp, DeviceId, FileName, FolderPath, Download_ReportId = ReportId, Download_InitiatingProcessFileName = InitiatingProcessFileName, Download_InitiatingProcessCommandLine = InitiatingProcessCommandLine, Download_AccountName = InitiatingProcessAccountName;
NCSIEvents
| join kind=inner (
    FileDownloadEvents
) on DeviceId
| where Download_Timestamp >= NCSI_Timestamp and Download_Timestamp <= NCSI_Timestamp + 2m
| project
    NCSI_Timestamp,
    Download_Timestamp,
    DeviceName,
    DeviceId,
    RemoteUrl,
    FileName,
    FolderPath,
    InitiatingProcessFileName = Download_InitiatingProcessFileName,
    InitiatingProcessCommandLine = Download_InitiatingProcessCommandLine,
    AccountName = Download_AccountName,
    NCSI_ReportId,
    Download_ReportId

Detect connectivity to Storm-2945 infrastructure

The following query checks for connectivity to Storm-2945 infrastructure observed in this attack activity.

let target_domains = dynamic(["ms365-device.com", "ms365-live.com", "m365-owa.com", "owa-ms365.com"]);
let target_ips = dynamic(["31.57.243.154", "38.146.28.75", "38.146.28.132", "104.194.159.150", "107.189.26.194", "213.145.86.112"]);
DeviceNetworkEvents
| where RemoteUrl has_any(target_domains) or RemoteIP in (target_ips)
| project
    Timestamp,
    DeviceName,
    DeviceId,
    RemoteUrl,
    RemoteIP,
    LocalIP,
    InitiatingProcessFileName,
    InitiatingProcessCommandLine,
    AccountName = InitiatingProcessAccountName,
    ReportId

Detect CornFlake RAT presence on affected systems

The following query checks for the presence of the CornFlake RAT binary.

DeviceProcessEvents
| where FolderPath == "%APPDATA%\\svchost32\\svchost32.exe"
   or FolderPath endswith @"\svchost32\svchost32.exe"
| project Timestamp, DeviceName, DeviceId, FileName, FolderPath, InitiatingProcessFileName, InitiatingProcessCommandLine, AccountName, ReportId

Detect CornFlake RAT Windows service registration

The following query checks for the CornFlake RAT Windows service registration.

DeviceRegistryEvents
| where RegistryKey has @"\SYSTEM\CurrentControlSet\Services\svchost32"
| where ActionType == "RegistryValueSet"
| where (RegistryValueName == "DisplayName" and RegistryValueData == "Cloud Sync Service")
    or (RegistryValueName == "Description" and RegistryValueData == "Synchronizes files with the cloud storage provider")
| project
    Timestamp,
    DeviceName,
    DeviceId,
    RegistryKey,
    RegistryValueName,
    RegistryValueData,
    ActionType,
    InitiatingProcessFileName,
    InitiatingProcessCommandLine,
    InitiatingProcessAccountName,
    ReportId

Microsoft Sentinel

Microsoft Sentinel customers can use the TI Mapping analytics (a series of analytics all prefixed with ‘TI map’) to automatically match the malicious domain indicators mentioned in this blog post with data in their workspace. If the TI Map analytics are not currently deployed, customers can install the Threat Intelligence solution from the Microsoft Sentinel Content Hub to have the analytics rule deployed in their Sentinel workspace.

Detect network IP and domain indicators of compromise using ASIM

The following query checks IP addresses and domain IOCs across data sources supported by ASIM network session parser:

//IP list and domain list- _Im_NetworkSession
let lookback = 30d;
let ioc_ip_addr = dynamic(["213.145.86.112"]);
let ioc_domains = dynamic(["213.145.86.112/t/pixel.gif", "213.145.86.112/cdn/chunks/polyfill-7e2b.min.js", "213.145.86.112/t/event"]);
_Im_NetworkSession(starttime=todatetime(ago(lookback)), endtime=now())
| where DstIpAddr in (ioc_ip_addr) or DstDomain has_any (ioc_domains)
| summarize imNWS_mintime=min(TimeGenerated), imNWS_maxtime=max(TimeGenerated),
  EventCount=count() by SrcIpAddr, DstIpAddr, DstDomain, Dvc, EventProduct, EventVendor

Detect web sessions IP and file hash indicators of compromise using ASIM

The following query checks IP addresses, domains, and file hash IOCs across data sources supported by ASIM web session parser:

//IP list - _Im_WebSession
let lookback = 30d;
let ioc_ip_addr = dynamic(["213.145.86.112"]);
let ioc_sha_hashes =dynamic([“918fa52ae45ed60ba7cc8bdc99c3cbe9ab92e0375ec31fc05d0d4513be11c593”, “be99857449d2856dd5a84e21c8a3d5e0e01456adb44062ddec5a6b4970d8d42c”]);
_Im_WebSession(starttime=todatetime(ago(lookback)), endtime=now())
| where DstIpAddr in (ioc_ip_addr) or FileSHA256 in (ioc_sha_hashes)
| summarize imWS_mintime=min(TimeGenerated), imWS_maxtime=max(TimeGenerated),
  EventCount=count() by SrcIpAddr, DstIpAddr, Url, Dvc, EventProduct, EventVendor

Detect domain and URL indicators of compromise using ASIM

The following query checks domain and URL IOCs across data sources supported by ASIM web session parser:

// file hash list - imFileEvent
// Domain list - _Im_WebSession
let ioc_domains = dynamic(["https://213.145.86.112/t/pixel.gif", "https://213.145.86.112/cdn/chunks/polyfill-7e2b.min.js", "https://213.145.86.112/t/event"]);
_Im_WebSession (url_has_any = ioc_domains)

ChocoShell C2 communications

The following query detects ChocoShell communications with its C2 server using HTTPS with URI paths designed to blend in with legitimate web traffic. Beacons use /t/pixel.gif?m=<status>, mimicking an image tracking pixel.

let lookback = 30d;
let ioc_url_artifacts = dynamic(["/t/pixel.gif?m="]);
_Im_WebSession(starttime=todatetime(ago(lookback)), endtime=now())
| where DstDomain  in (ioc_url_artifacts)
| summarize imWS_mintime=min(TimeGenerated), imWS_maxtime=max(TimeGenerated),
  EventCount=count() by SrcIpAddr, DstIpAddr, Url, Dvc, EventProduct, EventVendor

Indicators of compromise

IndicatorTypeDescriptionFirst seen
ms365-device[.]comDomainCaptiveCrunch DCF redirect2026-07-23
ms365-live[.]comDomainCaptiveCrunch DCF redirect2026-05-14
m365-owa[.]comDomainCaptiveCrunch AitM infrastructure2026-07-20
owa-ms365[.]comDomainCaptiveCrunch AitM infrastructure2026-07-16
31.57.243[.]154  IP addressCaptiveCrunch AitM infrastructure2026-07-16
38.146.28[.]75  IP addressCaptiveCrunch AitM infrastructure2026-07-01
38.146.28[.]132IP addressCaptiveCrunch DNS Resolver2026-07-15
104.194.159[.]150  IP addressCaptiveCrunch AitM infrastructure2026-04-28
107.189.26[.]194IP addressChocoShell C2 / CaptiveCrunch DNS Resolver2026-02-27
213.145.86[.]112  IP addressChocoShell C22026-07-01
918fa52ae45ed60ba7cc8bdc99c3cbe9ab92e0375ec31fc05d0d4513be11c593  File hashCornFlake2026-07-03
be99857449d2856dd5a84e21c8a3d5e0e01456adb44062ddec5a6b4970d8d42cFile hashChocoShell2026-07-10

References

Learn more

For the latest security research from the Microsoft Threat Intelligence community, check out the Microsoft Threat Intelligence Blog.

To get notified about new publications and to join discussions on social media, follow us on LinkedIn, X (formerly Twitter), and Bluesky.

To hear stories and insights from the Microsoft Threat Intelligence community about the ever-evolving threat landscape, listen to the Microsoft Threat Intelligence podcast.

The post CaptiveCrunch: Midnight Blizzard targets travelers worldwide for malware delivery and credential theft appeared first on Microsoft Security Blog.

  • ✇Blog – Cyble
  • APTs Top the List of Most Active Threat Actors in H1 2026 Ashish Khaitan
    You may have heard your peers say, “Cybercrime has become industrialized.” But did you have any proof?  We do.  Cyble Research and Intelligence Labs (CRIL) closed out its tracking for the first half of 2026 with a deep analysis of the Global Threat Landscape spanning ransomware, initial access brokers, data breaches and leaks, nation-state espionage, and hacktivism, among others.   One of the most striking analyses that puts the threat landscape severity in perspective was the number of 
     

APTs Top the List of Most Active Threat Actors in H1 2026

27 de Julho de 2026, 09:38

Most Active Threat Actors_H1

You may have heard your peers say, “Cybercrime has become industrialized.” But did you have any proof? 

We do. 

Cyble Research and Intelligence Labs (CRIL) closed out its tracking for the first half of 2026 with a deep analysis of the Global Threat Landscape spanning ransomware, initial access brokers, data breaches and leaks, nation-state espionage, and hacktivism, among others.  

One of the most striking analyses that puts the threat landscape severity in perspective was the number of distinct threat actor profiles active worldwide between January and June. 261 — that’s how many identifiable groups and individuals, each with its own tradecraft, targeting logic, and operational rhythm, running campaigns simultaneously across nation-state espionage, ransomware, hacktivism, and cybercrime.

What makes this data set valuable isn't just the headline count. It's what the composition reveals. A threat landscape dominated by nation-state APT groups tells a very different story than one dominated by ransomware crews — and as Cyble's regional breakdown shows, that composition shifts dramatically depending on where you're standing. 

The Worldwide Picture of Most Active Threat Actors: APTs Lead, But Not Everywhere 

Across all 261 profiles tracked globally, nation-state Advanced Persistent Threat (APT) groups were the single largest category — accounting for 118 profiles, or just over 45% of the total. Ransomware operators came second at 75 profiles (29%), followed by hacktivist collectives (34), cybercriminal groups (31), and dedicated extortion-only gangs, which remained a niche category at just 3. 

Threat Actor Category  Profiles Tracked  Share of Total 
Nation-State APT Groups  118  45.2% 
Ransomware Groups  75  28.7% 
Hacktivist Collectives  34  13.0% 
Cybercriminal Groups  31  11.9% 
Extortion-Only Groups  3  1.1% 
Total  261  100% 

That APT dominance reflects the sheer number of state-sponsored programs China, North Korea, Iran, and Russia field simultaneously across espionage, intellectual property theft, and pre-positioning operations.

The extortion-only category being almost statistically irrelevant is telling too — it confirms that pure extortion has essentially been absorbed into the ransomware business model rather than surviving as an independent specialty. Double extortion is now just how ransomware works. 

Worried your business is not immune to the tactics of these APT and ransomware groups? Book a demo to validate and fortify your defenses today! 

Threat Actors to Watch Out For 

CRIL flagged five groups worldwide as carrying the highest confidence and activity levels for security teams to track through the rest of 2026: 

Actor  Origin  Primary Targets  Sectors Targeted 
Bluenoroff  North Korea (Lazarus subgroup)  Global — cryptocurrency sector  Cryptocurrency, Financial Services 
UNC6508  China (PRC-nexus espionage)  US, Canada  Education, Healthcare, Government, Aerospace & Defense 
Volt Typhoon  China (state-sponsored)  US (incl. Guam) and allies  Communications, Energy, Manufacturing, Government, IT 
Desert Falcons  Palestine  UAE, Israel, Jordan, and 12+ other MEA nations  Aerospace & Defense, Government, Law Enforcement, Media 
SideCopy  Pakistan  India, Afghanistan  Government, Defense/military 

Two of these deserve particular attention for how they operate.  

Bluenoroff, a financially motivated Lazarus Group subgroup, funds North Korean state operations by impersonating established crypto investors and planting malicious links inside victims' Calendly scheduling accounts. This fraud vector blends social engineering with a tool most professionals trust implicitly.  

Volt Typhoon continues to favor "living off the land" techniques that blend into normal network activity, prioritizing long-term undetected access over rapid data theft — a profile consistent with pre-positioning for a future disruption event rather than opportunistic espionage. 

UNC6508 is worth flagging separately: the group compromises externally accessible REDCap research environments and has been observed creating malicious mail-forwarding rules to silently exfiltrate correspondence — all routed through US-based residential proxies and compromised routers specifically to obscure attribution. 

For a regional breakdown of which actors were the most active and which sectors they target, download Cyble Research and Intelligence Labs’ H1 2026 Global Threat Landscape Report. 
 
Download now! 

Track These Threat Actors in Real Time

The threat actor profiles, targeting patterns, and regional breakdowns in this analysis are drawn from Cyble's H1 2026 Global Threat Landscape Report, built on continuous monitoring across dark web forums, ransomware leak sites, and threat actor communications worldwide.  

Cyble Vision provides ongoing tracking of these groups — including new actor emergence, TTP shifts, and targeting changes — as they develop.  

Request a demo to see how continuous threat actor intelligence can sharpen your regional security priorities. 

The post APTs Top the List of Most Active Threat Actors in H1 2026 appeared first on Cyble.

  • ✇Blog – Cyble
  • ANZ Organizations Are in the Ransomware Crosshairs— What the Dark Web Is Telling Us Ashish Khaitan
    The conversation around ANZ ransomware threats has shifted noticeably over the past year. What once looked like sporadic, high-profile incidents has evolved into a sustained and structured campaign against organizations across Australia and New Zealand. Signals emerging from underground forums and marketplaces reveal a sobering reality: ransomware is no longer just a technical problem; it is an economic strategy driven by efficiency, specialization, and scale.  At the center of this shift is
     

ANZ Organizations Are in the Ransomware Crosshairs— What the Dark Web Is Telling Us

28 de Abril de 2026, 07:42

ANZ ransomware threats

The conversation around ANZ ransomware threats has shifted noticeably over the past year. What once looked like sporadic, high-profile incidents has evolved into a sustained and structured campaign against organizations across Australia and New Zealand. Signals emerging from underground forums and marketplaces reveal a sobering reality: ransomware is no longer just a technical problem; it is an economic strategy driven by efficiency, specialization, and scale. 

At the center of this shift is ransomware dark web intelligence, which paints a clear picture of attacker intent. Threat actors are not simply increasing volume; they are refining their focus. The ANZ region, with its high-value economy and deeply digitized infrastructure, has become a preferred hunting ground. 

Why High-Value Economies Attract ANZ Ransomware Threats 

Australia’s economic profile plays directly into the hands of ransomware operators. A strong GDP, combined with a relatively small population, creates a high-return environment. Attackers don’t need to cast a wide net; each successful breach can yield significant payouts. 

By mid-2025, 71 ransomware incidents had been publicly claimed in Australia, compared to nine in New Zealand. On the surface, those figures may seem moderate. However, when adjusted for population, the rate of ransomware attacks in Australia and New Zealand stands out globally. Even larger economies have not experienced the same intensity relative to their size. 

This imbalance reflects a fundamental principle driving ANZ organizations cybersecurity risks: attackers prioritize value over volume. In practical terms, fewer victims can still mean higher profits. 

A Fragmented Threat Landscape with No Single Dominant Actor 

Unlike regions where one ransomware group dominates headlines, the dark web ANZ cyber threats ecosystem is notably fragmented. Multiple groups, including Qilin, Akira, INC, Lynx, and Dragonforce, operate concurrently, each claiming a similar share of attacks. 

This decentralization complicates defense strategies. Organizations are not facing a predictable adversary with a consistent playbook. Instead, they must prepare for a rotating cast of threat actors, each bringing different techniques, timelines, and negotiation tactics. 

From a ransomware dark web intelligence perspective, this fragmentation signals a competitive market. Threat actors are actively testing sectors, probing defenses, and adapting quickly based on what works. 

Industries Under Sustained Pressure 

The distribution of ANZ ransomware threats is far from uniform. Certain sectors continue to absorb the majority of attacks due to the nature of their operations. 

Healthcare and professional services sit at the top of the list. In healthcare, the urgency of patient care creates a near-zero tolerance for downtime, increasing the likelihood of ransom payments. Professional services firms, on the other hand, hold large volumes of sensitive client data, making them lucrative targets. 

However, the scope is broader than these two sectors alone. Aviation software providers, pharmaceutical companies, engineering firms, and even steel manufacturers have all been affected. This pattern reinforces a key insight: ransomware attacks in Australia and New Zealand are opportunistic but calculated, targeting environments where disruption carries tangible consequences. 

Notable Incidents Reveal Tactical Evolution 

Several incidents in 2025 highlight how attackers are evolving their methods. 

The Akira group compromised an Australian industrial technology provider, exfiltrating approximately 10GB of sensitive data, including financial records and employee identification documents. This case highlights the growing overlap between ransomware and critical infrastructure risk. 

In another breach, a political organization suffered exposure to communications, identity records, and financial data, highlighting that ANZ organizations' cybersecurity risks extend beyond the private sector. 

Meanwhile, Dragonforce leaked over 100GB of data from an engineering firm, including technical drawings and internal reports. The long-term implications of such intellectual property theft often exceed immediate financial damage. 

These cases share a common thread: encryption is no longer the sole objective. Data exfiltration and double extortion have become standard practices. 

The Rise of Initial Access Brokers 

One of the most important developments in shaping dark web ANZ cyber threats is the growth of the initial access market. In 2025 alone, 92 instances of compromised access sales were observed across Australia and New Zealand. 

Retail organizations accounted for roughly 34% of these cases, followed by BFSI and professional services. The implications are significant. Attackers no longer need to breach networks themselves; they can simply purchase access. 

This shift has redefined how ANZ ransomware threats materialize. The most complex phase of an attack—initial intrusion—is now outsourced, accelerating timelines and increasing overall attack volume. 

It also introduces indirect risk. Organizations may be compromised through vendors, partners, or shared platforms, expanding the attack surface beyond traditional boundaries. 

Ransomware-as-a-Service and the Scaling Problem 

The emergence of affiliate-driven models, particularly groups like INC Ransom, has further amplified ransomware attacks in Australia and New Zealand. Operating under a Ransomware-as-a-Service structure, these groups separate responsibilities: affiliates handle intrusions, while core operators manage ransom negotiations. 

This model enables rapid scaling. Multiple attacks can be executed simultaneously, each leveraging shared infrastructure and tooling. 

INC Ransom’s activity across healthcare and professional services highlights how effective this approach has become. Their operations often involve credential compromise, privilege escalation, lateral movement, and eventual deployment of ransomware—frequently paired with data exfiltration. 

From a ransomware dark web intelligence standpoint, this reflects a mature ecosystem where roles are specialized, and efficiency is maximized. 

A Regional Problem with Cross-Border Impact 

Although Australia is the primary target, the broader region is not immune. A ransomware attack on Tonga’s Ministry of Health disrupted national healthcare services, while a major breach in New Zealand’s healthcare sector involved both data theft and system encryption. 

These incidents reinforce the interconnected nature of ANZ organizations' cybersecurity risks. Threat actors operate without regard for national boundaries, shifting focus wherever defenses appear weakest. 

Common Entry Points and Techniques 

Despite the evolving ecosystem, many attack methods remain consistent. Spear-phishing campaigns, exploitation of unpatched systems, and the use of stolen credentials continue to dominate. 

Once inside, attackers often rely on legitimate tools—file compression utilities, remote management software, and standard data transfer mechanisms—to blend into normal operations. This “living off the land” approach makes detection significantly more difficult. 

From Defense to Resilience 

The steady rise of ANZ ransomware threats signals a need for strategic change. Perimeter-based defenses are no longer sufficient in an environment where access can be purchased, and attacks can be outsourced. 

As access is bought and attacks are outsourced, organizations must shift toward stronger identity controls, continuous monitoring, rapid patching, and tighter third-party risk management. 

Cybersecurity is no longer just about prevention—it’s about resilience. Attacks are inevitable, but their impact doesn’t have to be. Cyble helps organizations stay ahead with AI-powered threat intelligence, dark web monitoring, and predictive defense through its AI-native platform, Cyble Blaze. 

Stay ahead of ransomware threats—book a free demo and build a more resilient security posture.

The post ANZ Organizations Are in the Ransomware Crosshairs— What the Dark Web Is Telling Us appeared first on Cyble.

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