Researchers detected the Dark Caracal GoCaracal malware in South America. Learn how this GoCaracal malware uses Ethereum smart contracts.
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Chinese-linked cyber espionage group Fire Ant has spent the past year quietly graduating from hacking individual computers to hacking the infrastructure that connects them. Sygnia’s new report traces how the group expanded from compromising hypervisors into routers, authentication servers, and Linux management hosts, the unglamorous plumbing that decides who gets to log in where and what gets recorded when they do.
The investigation started with something that looked like a minor configuration mistake. A tunnel interface showed up as active on a Cisco IOS XR router with no corresponding entry in the configuration history, no commit anyone could point to that explained how it got there.
“The investigation began with an anomaly that appeared, at first, to be a configuration inconsistency: a tunnel interface became operational on a Cisco IOS XR router even though no corresponding running configuration or commit history could explain its creation. The interface was associated with a specific VRF and used GRE encapsulation, but standard configuration review did not provide a reliable explanation for how it appeared.” reads the report. “This discrepancy became a key investigative lead because it suggested that the device’s operational state could no longer be trusted to match the configuration and audit records visible to administrators.”
That single inconsistency became the thread that unraveled the whole operation, because it meant the router’s own records could no longer be trusted to reflect what the device was actually doing.
What Fire Ant built inside that router wasn’t generic malware bolted onto Linux. The toolkit was purpose-written for IOS XR’s own internals, hooking into logging, command execution, and routing functions directly. One component disguised itself as a legitimate boot service and ran on a bizarre schedule, active only during odd-numbered hours and shut off during even ones, apparently timed to dodge routine inspection windows. Another modified the router’s own syslog function so that any log message not containing the word “Health” would silently vanish instead of being recorded, a filter so specific it reads like something built to survive a very particular kind of audit.
Following that anomalous tunnel led investigators to a second compromised machine, an aging Linux system acting as the tunnel’s far end. From there, Fire Ant wasn’t just maintaining access, it was actively scanning outward toward other high-value networks, probing SSH, RDP, and web ports on systems connected through the compromised infrastructure.
“The actor appeared to use the compromised environment as an infrastructure platform from which it could explore reachability into connected high-value networks, including critical infrastructure.” states Sygnia. “In this model, routers, TACACS servers and jump hosts are not peripheral assets. They are the path to the target behind the target.”
The authentication layer got its own dedicated attack, and this is the part that should concern anyone who thinks compromised credentials are the worst-case scenario. Fire Ant injected a malicious library directly into a running TACACS authentication daemon, the software responsible for approving administrator logins across network devices, then intercepted live sessions as they were accepted and quietly copied the credential material flowing through. That’s not stealing a password from a phishing page; that’s sitting inside the process whose entire job is deciding who to trust, watching every legitimate login happen in real time.
“The acpid component embedded a modified IOS XR syslog library. In the modified evsyslog flow, log delivery was routed through a custom wrapper that checked for the string “Health” before calling mq_send. When the condition was not met, the wrapper returned a success-like value without forwarding the message, indicating selective manipulation of router log delivery.” states the report.
Fire Ant also used deep, persistent backdoors on Linux systems. Some had remained dormant since 2025 and were disguised as normal system services, making them easy to overlook. One even posed as SentinelOne’s security agent and stayed active in memory after its file was deleted, making standard disk-based forensic checks ineffective on their own.
Perhaps the most technically distinctive piece was a backdoor that didn’t listen on any port at all in the conventional sense. Instead it silently inspected raw network traffic, waiting for specific packets carrying an embedded magic string before it would activate and open an interactive shell. This design shares real code-level overlap with tooling publicly tied to UNC3886, a China-nexus espionage cluster Google and Mandiant have tracked for years, though the specific activation strings and packet-handling logic here differ enough from earlier public reporting that Sygnia treats it as an evolution rather than a straight reuse.
“The key choice is notable because Mandiant previously documented UNC3886 TACACS credential-collection tooling in which captured credential records were also XORed with 0xEF before being written to a credential log file.” continues the report.
Once inside, Fire Ant didn’t just avoid detection, it actively edited the evidence. Login records in Linux’s own wtmp, utmp, and btmp files got rewritten to swap out the router’s real IP address for an internal one, and sudo-related entries were stripped from system logs to erase any trace of privilege escalation. Sygnia’s core warning for defenders cuts against a habit most incident responders have built their careers on: logs are not automatically ground truth anymore, and any investigation into infrastructure this deeply compromised has to cross-check log evidence against memory, disk state, and network telemetry independently rather than trusting any single source on its own.
The bigger concern is that Fire Ant was not mainly interested in the systems it first compromised. It used them as a stepping stone into more valuable networks connected through trusted routing and authentication relationships — what Sygnia calls the “target behind the target.” This means edge routers, TACACS servers and Linux jump hosts can be just as important to protect as systems holding sensitive data, especially when they connect to critical infrastructure. These often-overlooked systems can give a patient and well-resourced attacker a trusted path deeper into the environment, making them a valuable target rather than an unimportant middle layer.
“The central lesson is that defenders must protect more than the systems that store sensitive data. They must protect the infrastructure that makes other systems reachable, trusted, and observable.” concludes the report. “When that layer is compromised, the impact extends beyond a single organization: the actor may gain a vantage point for collection, a path toward connected targets, and the ability to make trusted infrastructure tell an incomplete story.”
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A suspected Chinese-speaking operator targeted a Philippine nuclear research body and a marine engineering company that supports the Philippine Navy, using well-known vulnerabilities in internet-facing ownCloud and WordPress systems. The activity was uncovered after Hunt.io found an exposed server in Amsterdam that contained attack scripts, logs, offensive tooling and data taken from the two organisations.
“Hunt.io Attack Capture discovered an open directory containing tooling which documented intrusion activity against two Philippine organizations.” reads the report published by Hunt.io. “A recovered CSV references roughly 9 GB of material stolen from the nuclear agency, most absent from the current directories contents, and a compromise of a project management application, indicating a possible third victim.”
Hunt.io disclosed the findings to CERT-PH under the TLP:AMBER sharing standard and delayed publication until 25 August 2026 so the national response team could notify the affected organisations. The incident arrives amid sustained tensions in the South China Sea and continuing reports of suspected Chinese cyber activity against Philippine government, defence and critical-infrastructure targets.
“On August 13, 2026, Hunt.io Attack Capture identified an open directory on the host 31.58.209[.]241. The server staged custom Python scripts, per-file transfer logs, open-source offensive security tooling, and exfiltrated data from two Philippine organizations. The scripts targeted an ownCloud instance operated by a nuclear research body, using pre-signed URLs generated with an empty signing secret, which allowed for the unauthenticated retrieval of files over WebDAV.” states the report.”A separate intrusion was observed exploiting a WordPress site operated by a Philippine marine engineering and shipbuilding company that provides services to the Philippine Navy.”
The server was not a sophisticated hidden service. It exposed a Python SimpleHTTP directory on port 8000, along with SSH, a self-hosted ownCloud login page and other services. The directory contained 1,310 files in 86 folders, totaling 1.17 GB, including scripts, stolen data and tools such as Sliver, Metasploit and Mettle.
Researchers gained a rare view of the attacker’s operations after finding tools, logs and stolen files left exposed on the server. The main entry point was likely the nuclear research body’s internet-facing ownCloud service, compromised by exploiting CVE-2023-49105, an authentication-bypass flaw in ownCloud versions before 10.13.1.
In this condition, an attacker who knows a valid username can generate WebDAV requests that the server accepts as if they were made by that user. No password is needed. Hunt.io found five custom Python scripts implementing this technique, four focused on individual accounts and a fifth capable of enumerating directories and recording every attempted download. hunt
“In vulnerable instances when no such key was configured, a default state on new installs, the signing routine still executed using an empty secret. An attacker with knowledge of valid usernames on the instance could construct signed WebDAV requests that would be accepted by the server as authentication action by that user, without ever supplying credentials.” continues the report. “A total of five custom Python scripts saved from the directory implement this exact technique described above. Four target a single account each; the fifth moves further to include directory enumeration and logging.”
The attacker used random delays to make data collection less noticeable and avoid volume-based alerts. Scripts, logs and folders consistently used Simplified Chinese, including labels for nuclear, radiation-safety, finance and IT files. This suggests a Chinese-speaking operator, but does not prove links to a specific government or threat group.
The stolen data included nuclear reactor component databases, fuel inventories, radiation-safety documents, incident records and authorised-user lists. It also included strategic plans, IT documents, staff records, CVs, passport and travel data, and financial disclosures from Philippine officials.
The exposed server held 176 files, about 372 MB in total. However, a CSV created by the attacker referred to roughly 9 GB of stolen data. This gap suggests the server contained only part of the haul and that the attacker may have accessed much more than researchers could recover.
The material also included a KeePass database, AxCrypt-encrypted files and a BitLocker recovery key. Those artefacts matter because they can support follow-on access: a data theft operation can become a credential-theft operation, and a credential-theft operation can become a longer-term intrusion.
Researchers additionally recovered a 192 MB SQL dump from a ZKTeco BioTime attendance and personnel system. Such a database can link people to badge identifiers, departments and access records, enabling an attacker to build a picture of who works where, who may have sensitive access and which people are worth targeting next.
The same server also contained evidence of a breach involving a Philippine marine engineering and shipbuilding company that works with the Philippine Navy. The attacker exploited CVE-2024-28000, a privilege-escalation flaw in the LiteSpeed Cache WordPress plugin.
The flaw let attackers create a WordPress admin account without authentication by exploiting a predictable security hash through the REST API. Hunt.io found the exploit code, compiled tools and logs showing that the attacker successfully gained admin access.
The attacker also used WordPress XML-RPC to test passwords for the admin account with the well-known rockyou.txt list. The logs show that this method also found valid credentials.
That gave the operator redundancy. Even if one access path were closed, the attacker could retain an administrator account, a valid password or data such as WordPress hashes and secret values from the stolen site database. Redundant access is not glamorous. It is, unfortunately, effective.
While examining the compromised WordPress site, Hunt.io also discovered an active EtherHiding-style injection that it believes may be unrelated to the Chinese-speaking operator. The malicious JavaScript used an Ethereum smart contract as a place to retrieve content, then displayed a fake Google verification page designed to push visitors into a ClickFix-style infection flow.
The campaign used a service worker for persistence and collected visitor fingerprint data. Hunt.io found 174 unique IP addresses hosting pages with the same NoChain loader strings and smart-contract reference, but said the evidence did not link that activity to the operator who attacked the nuclear and naval-linked targets.
That distinction matters. A compromised website can host multiple intrusions or payloads at once, often run by unrelated actors. Analysts should resist the temptation to treat every malicious artefact on one server as evidence of a single campaign.
The technical lesson is blunt: old and known weaknesses still provide access to high-value targets. Organisations using ownCloud should upgrade to version 10.13.3 or later, apply the vendor’s relevant fixes and ensure that pre-signed URLs use a strong, non-empty signing key.
Teams should also examine WebDAV logs for suspicious PROPFIND directory-enumeration requests, large volumes of file retrieval across multiple accounts, or recurring requests from a single source with artificial gaps between them. Low-and-slow collection is still collection.
For WordPress, organisations should update LiteSpeed Cache to version 6.4 or later, remove or restrict XML-RPC when it is not needed, enforce strong unique administrator passwords and require multi-factor authentication. The XML-RPC compromise in this case succeeded against a password from a public wordlist, which is not a vulnerability in WordPress so much as an invitation nobody should leave on the doorstep.
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Google tracks suspected Russian cyber espionage clusters abusing logins. Learn how these Russian cyber espionage clusters target global officials.
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SilkParasite APT ran China-nexus cyberespionage across Central Asia, using 7 custom RATs, DLL sideloading, and AI-assisted malware.
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CoreRAT malware powers Core Werewolf attacks on Russian defense and government targets, using fake military PDFs and Telegram phishing.
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Seqrite links Operation QUICSILVER to a China-nexus actor deploying the QUICAgent Go backdoor against Myanmar government targets via a VHD lure.
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Google’s Threat Intelligence Group tracked three separate suspected Russia-linked cyber espionage clusters. All three focus on the same thing: abusing authentication features that are supposed to protect accounts to access them instead.
Threat actors target researchers, academics, government officials, think-tank analysts, and defense sector personnel across Europe and the United States. The three clusters are tracked as UNC6293, UNC7005, and UNC5976, and while they operate differently and with different tools, Google published them together for a reason.
“These clusters engage in persistent, adaptive phishing campaigns, using sophisticated social engineering tactics to compromise personal accounts across multiple platforms.” reads the report published by GTIG. “Because these operations abuse legitimate authentication flows which may not immediately seem like phishing attempts to users, GTIG is raising awareness about these social engineering campaigns targeting individuals so that targets can more readily recognize malicious outreach.”
UNC6293 is the oldest of the three and the most precisely attributed. Google assesses with moderate confidence that it’s a sub-cluster of ICE RELIC, the group also tracked as APT29, responsible for initial access operations.
Its operations are narrow by design: typically fewer than five targets at a time, with themes built around diplomatic events and upcoming conferences. Since it was first documented in June 2025, UNC6293 has consistently impersonated US State Department officials to run app password phishing. The technique is simple but effective. The attacker convinces a target to set a specific app password on their account, one that the attacker already knows, and then uses it to log in without triggering two-factor authentication.
By October 2025, UNC6293 was still reusing screenshots from its June phishing lures, including the ms.state.gov reference, while only changing the surrounding text. By June 2026, the group had added OAuth phishing. After logging in to a legitimate service, victims were asked to share a URL or “verification code,” allowing attackers to obtain valid access tokens. The trick works because the login itself is legitimate, while the attackers hide the malicious step elsewhere.
UNC7005, tracked by Microsoft as STORM-2945, is a related but separate cluster first identified in February 2026. Google assesses it’s also connected to ICE RELIC, but notes it operates with lower technical sophistication and worse operational security than UNC6293. It compensates with a wider toolkit. UNC7005 runs app password phishing, device code phishing against both Microsoft and WhatsApp, malware distribution, and OAuth phishing operations, sometimes in the same month.
“UNC7005 also conducts device code phishing operations for both Microsoft and WhatsApp accounts.” continues the report. “The themes of these phishing waves often involve invitations for calls with individuals from notable organizations related to the target’s field or, most recently, invitations to diplomatic events and conferences. “
The GLOBSEC conference spoof is a useful illustration of how UNC7005 works. The actor built a landing page mimicking an invitation to the legitimate GLOBSEC forum in May 2026, collected detailed registration information from targets including, not for the first time in ICE RELIC-linked operations, a wine selection for a fictional dinner, and then presented a Microsoft device code for the target to enter. The registration form still contained a reference to “Embassy security policy” rather than GLOBSEC, a leftover from the previous lure template that the actor hadn’t cleaned up. When Google flagged the page quickly, UNC7005 revised the template within days, citing “technical difficulties” to explain the change to anyone still watching.
UNC7005 also used WhatsApp phishing pages to trick victims into linking their accounts to an attacker-controlled device. The fake pages offered options such as joining a call, opening an encrypted chat or downloading a file. If victims chose the call option, malicious JavaScript asked for microphone and camera access, recorded them, and sent the footage to the attackers.
In late May 2026, UNC7005 ran a broader phishing wave targeting US-based academics, diplomats, and Russia researchers. The lure was a fake “Summit Companion App” to read a document supporting Ukraine.
“In May and June 2026, UNC7005 conducted social engineering operations spoofing WhatsApp. The phishing pages distributed by the attacker lure targets into linking their WhatsApp accounts with an attacker controlled device in order to join a secure WhatsApp call, chat, or document share.” states the report. “The attacker also attempts multiple other methods of compromise after the device is linked.”
Windows users who downloaded it received VIDAR, an off-the-shelf infostealer sold as a service that pulls saved credentials, cookies, and payment data from browsers. Mac users received ATOMIC, also known as AtomicStealer, a macOS infostealer operating the same business model. Neither is custom tooling. The actor’s email address in this operation was nearly identical to one used by UNC6293 a year earlier.
The hospitality captive portal campaign, previously reported by Reliaquest and Microsoft and attributed to Midnight Blizzard, connects directly to UNC7005. Google traces the infrastructure back to April 2026: domains spoofing Microsoft authentication resources, which Google added to Safe Browsing blocklists as they appeared. By mid-July 2026, those same domains were receiving redirects from captive portals at hotels and conference centers. The IP resolution trail links the captive portal infrastructure to the GLOBSEC device code phishing operation and to ENGINELIGHT, a Go-based malware used in a separate limited UNC7005 operation in May 2026.
CHERRYPIE, also known as ChocoShell, is a PowerShell infostealer that adds another interesting detail. Google found comments and code references that appear consistent with AI-generated code, suggesting the attackers may be using an LLM to develop malware. The data it targets overlaps with the commercial infostealers already used by UNC7005, leading Google to suspect that CHERRYPIE could be a customized version of a malware-as-a-service tool.
UNC5976 is the third cluster and the most distinct. It focuses on military, aerospace, defense industrial base, and NGO targets, concentrating geographically on Ukraine and Armenia. Instead of residential proxies for post-compromise access, as UNC6293 and UNC7005 use, it runs dedicated infrastructure. Its OAuth phishing is more automated: the actor registers file-sharing-themed domains, creates Google Cloud projects behind them, and uses cloud-hosted scripts to collect authentication tokens from targets who log in through what looks like a Google sign-in prompt on a fake file-sharing page. Within three months of Google disrupting this infrastructure, UNC5976 had built at least twelve new domains and was already migrating toward non-Google hosting providers.
In April 2026, UNC5976 also distributed HEADRUSH, a malicious Excel plugin, through a domain impersonating a Ukrainian research institute, potentially targeting a Ukrainian aerospace and imaging company. HEADRUSH eventually leads to an HTA downloader, though Google wasn’t able to recover the full infection chain.
The defender challenge that runs through all three clusters is the same one Google names directly.
” The accounts these groups target are often personal, rather than corporate domain-joined accounts, creating a visibility gap for monitoring compromise from an organizational perspective. The likely use of encrypted messenger applications instead of email for initial outreach also presents a challenge to defenders hoping to track and remediate abuse.” concludes the report. “The combination of these tactics not only enables the attacker to conduct quick-turnaround exfiltration operations, but also presents opportunities for the attacker to further phish targets of interest from compromised, legitimate accounts. “
Security teams watching corporate email and endpoint telemetry won’t see the initial contact. By the time a compromised personal account starts being used to phish the target’s contacts, the original access event is already cold.
Google’s practical guidance for individuals: don’t set app passwords for anyone who asks, revoke existing ones you don’t recognize, check WhatsApp’s linked devices list, and treat any OAuth authorization prompt from an unsolicited message as suspicious regardless of how polished the surrounding page looks. High-risk individuals should consider Google’s Advanced Protection Program, which blocks app password creation entirely.
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The Jewelbug APT group runs espionage alongside cryptocurrency scams. Read our report on Jewelbug APT group operations.
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Acronis ties a new PATCHCORD malware APT36 campaign to Afghan telecom and Indian targets. SHEETCORD malware abuses Google Sheets for C2.
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Kaspersky uncovered the Armored Likho Still Toolkit. Read our Armored Likho Still Toolkit analysis to explore the Telegram stealer and audio spying tools.
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Kaspersky analyzed the Project CAV3RN framework. Read our Project CAV3RN framework analysis to see how attackers abuse DNS and Google Apps Script.
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Microsoft Threat Intelligence disclosed CaptiveCrunch, a campaign it attributes to Storm-2945, an operational sub-cluster of Midnight Blizzard, the Russian SVR-linked group also known as APT29 and Cozy Bear. Since early May 2026, Storm-2945 has been manipulating DNS and HTTP traffic on captive portal networks at hotels, conference centers, and shared venues worldwide to redirect guests toward malware and credential theft operations. If you connected to hotel Wi-Fi while traveling in the past few months, this report is worth reading carefully.
“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.” reads the report published by Microsoft. “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.”
That last point matters: the shared infrastructure patterns suggest this may not be a series of individual venue compromises but rather access to something shared across portions of the captive portal ecosystem. Microsoft hasn’t named any provider.
The malware delivered through these networks is CornFlake, a full-featured Windows remote access trojan written in Go.
“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.” continues the report. “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.”
CornFlake establishes an encrypted C2 channel using ECDH P-256 key exchange and supports dynamic reconfiguration without redeployment. Once installed, the RAT can log keystrokes, monitor the clipboard, capture screenshots, audio and webcam feeds, steal browser credentials, exfiltrate files, monitor USB devices, collect detailed system information, and execute remote commands. It also exposes a local HTTP API, allowing companion malware such as ChocoShell to reuse its secure C2 channel for file theft, configuration updates, and connectivity checks.
“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.” states the report. “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. “
Each C2 session uses a unique ephemeral key, which means captured traffic can’t be decrypted without that session’s private key. The malware also supports a runtime configuration file that lets the attacker reconfigure C2 servers and targeting without redeploying the implant.
CornFlake is delivered via ClickFix-style pages that impersonate Windows Update screens, Google verification pages, DirectX installers, browser update prompts, and disk optimization utilities — whatever looks most plausible for the venue. The victim still has to execute the payload, but the captive portal controls exactly what they see when they try to connect. Microsoft also found indications that Storm-2945 may be targeting Android devices through the same landing pages, which include instructions to download and install an APK.
The second tool, ChocoShell, is a PowerShell infostealer that runs entirely in memory. Its primary target is credentials.
“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.” states Microsoft. “Additionally, Wi-Fi credentials are harvested via netsh wlan show profile with key=clear.”
ChocoShell also implements three silent UAC bypass techniques with ordered fallback, disables Windows Defender signature updates, and uses Chrome DevTools Protocol to extract browser cookies by launching the browser with a remote debugging port. This technique bypasses Chrome’s App-Bound Encryption entirely.
Since July 16, some CaptiveCrunch landing pages have added device code phishing to the mix, redirecting guests into Microsoft’s legitimate device code authentication flow. The attacker initiates the authentication request and presents the user with a code to enter at Microsoft’s real sign-in page. When the user enters it, they authenticate the attacker’s session instead of their own — an MFA-satisfied session, since the user just completed the factor. Microsoft recommends blocking the device code flow through Conditional Access policies everywhere it isn’t explicitly required.
Researchers also detailed FruitStone, the web-based C2 panel used by Storm-2945 operators to manage the CaptiveCrunch campaign. It provides a centralized interface to control CornFlake implants, deploy payloads, collect stolen data, and manage compromised devices. Disguised as a legitimate “CloudSync Console,” it supports multi-operator access, agent monitoring, remote commands, file theft, credential collection, configuration updates, and campaign infrastructure management.
The practical advice for travelers is blunt: treat hotel, conference, and airport Wi-Fi as hostile. Use a mobile hotspot or cellular data instead wherever possible. Don’t download or execute anything a captive portal presents as an update, certificate, troubleshooting tool, or security utility. Don’t enter corporate credentials on venue registration pages. And if your organization hasn’t already blocked device code flow in Conditional Access, now is a reasonable time to check.
Recently, ReliaQuest’s threat research team also documented attackers compromising the Wi-Fi gateways at hotels and conference centers, then quietly rerouting guests toward fake Microsoft login pages.
There’s a pattern connecting all this to previous campaigns. The tradecraft echoes a Russian-linked operation called FrostArmada, which hit home routers the same way earlier this year, and researchers tie both to the group known as APT28 (aka UAC-0001, aka Fancy Bear, Pawn Storm, Sofacy Group, Sednit, BlueDelta, and STRONTIUM). The link isn’t a smoking gun; it’s shared technique, not shared infrastructure, and the researchers say so plainly.
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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.
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.
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:
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.
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.
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:
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:
| Capability | Description |
| Keylogging | Raw input API-based keylogger capturing all keystrokes, including password fields |
| Clipboard monitoring | Captures clipboard changes with SHA-256 deduplication and records the active window title at time of capture |
| Screenshot capture | Idle-triggered and on-demand screenshots with configurable idle threshold |
| Audio surveillance | Windows Audio Session API (WASAPI)-based microphone capture, encoded as WAV files |
| Video surveillance | Media Foundation-based webcam capture, encoded as JPEG |
| Browser credential theft | ChromeKatz-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 exfiltration | Targets 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 monitoring | Detects and scans removable media when inserted |
| Security posture sweep | Collects 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 shell | Arbitrary 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 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:
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 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.
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:
Campaign builder. A step-by-step wizard enables operators to configure and build new CornFlake payloads directly from the panel:
Infrastructure management. FruitStone provides management interfaces for three layers of supporting infrastructure:
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.
When traveling, users should treat hotel, conference, airport, and other guest wireless networks as untrustworthy.
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.
Organizations should review what information employees provide to hospitality providers when connecting to guest networks.
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 access | File download via captive portal redirection | Microsoft Defender for Endpoint – Suspicious downloaded file |
| Initial access | ClickFix technique, fake browser or OS update, initial file download | Microsoft Defender for Endpoint – Possible initial access from an emerging threat – Possible ClickFix activity |
| Persistence | CornFlake registers a Windows service, a Registry Run key, a scheduled task | Microsoft 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 evasion | ChocoShell disables AMSI | Microsoft Defender for Endpoint – Possible Antimalware Scan Interface (AMSI) tampering |
| Credential access | ChocoShell’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 |
| Collection | CornFlake monitoring and logging | Microsoft Defender for Endpoint – Activity that might lead to information stealer |
| Privilege escalation | ChocoShell UAC bypass techniques | Microsoft Defender for Endpoint – UAC bypass was detected – Possible Component Object Model (COM) hijacking |
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.
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.
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.
Entrar
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 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
| Indicator | Type | Description | First seen |
| ms365-device[.]com | Domain | CaptiveCrunch DCF redirect | 2026-07-23 |
| ms365-live[.]com | Domain | CaptiveCrunch DCF redirect | 2026-05-14 |
| m365-owa[.]com | Domain | CaptiveCrunch AitM infrastructure | 2026-07-20 |
| owa-ms365[.]com | Domain | CaptiveCrunch AitM infrastructure | 2026-07-16 |
| 31.57.243[.]154 | IP address | CaptiveCrunch AitM infrastructure | 2026-07-16 |
| 38.146.28[.]75 | IP address | CaptiveCrunch AitM infrastructure | 2026-07-01 |
| 38.146.28[.]132 | IP address | CaptiveCrunch DNS Resolver | 2026-07-15 |
| 104.194.159[.]150 | IP address | CaptiveCrunch AitM infrastructure | 2026-04-28 |
| 107.189.26[.]194 | IP address | ChocoShell C2 / CaptiveCrunch DNS Resolver | 2026-02-27 |
| 213.145.86[.]112 | IP address | ChocoShell C2 | 2026-07-01 |
| 918fa52ae45ed60ba7cc8bdc99c3cbe9ab92e0375ec31fc05d0d4513be11c593 | File hash | CornFlake | 2026-07-03 |
| be99857449d2856dd5a84e21c8a3d5e0e01456adb44062ddec5a6b4970d8d42c | File hash | ChocoShell | 2026-07-10 |
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The post CaptiveCrunch: Midnight Blizzard targets travelers worldwide for malware delivery and credential theft appeared first on Microsoft Security Blog.
ReliaQuest’s threat research team just documented attackers compromising the Wi-Fi gateways at hotels and conference centers, then quietly rerouting guests toward fake Microsoft login pages. No phishing email required. No malicious attachment. Just bad luck about which hotel you picked.
“Adversaries have been compromising public Wi-Fi gateways at hotels, conference centers, and other shared venues to hijack the accounts of traveling corporate employees.” reads the report published by ReliaQuest. “Once they control the Wi-Fi gateway, they quietly redirect users to attacker-controlled infrastructure to steal credentials, in activity ongoing since at least June 2026.”
The mechanism is simple once you see it. These gateways handle DNS for every device that connects, so whoever controls the gateway controls where your traffic actually goes, even when the address bar looks completely normal. ReliaQuest found compromised devices across several US cities plus India and Saudi Arabia, hitting employees from finance, law, healthcare, energy, and retail, which tells you this isn’t aimed at one industry. It’s aimed at anyone who travels for work.
Researchers think the entry point was weak or reused admin credentials on internet-facing management interfaces, things like exposed SSH or web consoles.
“ReliaQuest assesses with low-to-medium confidence that initial access into these devices exploited exposed management interfaces (including internet-facing SSH, SNMP, and web administration consoles) in combination with weak or reused administrative credentials.” continues the report. “We encountered visibility constraints into the individual devices that prevented confirmation of this hypothesis, but this methodology would be consistent with the gateway targeting and DNS poisoning patterns documented in recent reporting on an APT28-linked campaign known as “FrostArmada.””
Once inside, the attackers pointed DNS toward domains built to look like Microsoft’s login pages, including m365-owa.com and ms365-live.com. The whole thing runs on trust, since a device joining a network just assumes the DNS resolver it’s handed is telling the truth.
That trust gets abused in a way that dodges the DNS protections people already have. Switching to a hardcoded resolver like 8.8.8.8 doesn’t save you, because the query still leaves the laptop unencrypted and the gateway can rewrite the answer before it ever reaches Google’s server. Encrypted DNS tools help only if they run in strict mode; the default “opportunistic” mode quietly falls back to plaintext the moment encryption fails, and that fallback is exactly what gets hijacked.
“Two configurations do stop it. A full-tunnel VPN routes all DNS through the corporate tunnel before the gateway can touch the request. Encrypted DNS in strict mode (DNS over HTTPS or DNS over TLS with plaintext fallback disabled) ensures the gateway can’t forge a response.” states the cybersecurity firm. “Most DNS encryption tools default to opportunistic mode, which permits plaintext fallback when encrypted resolution fails. That fallback is what the gateway redirects, making opportunistic mode insufficient; only strict mode closes the gap.”
ReliaQuest also caught something extra in about a third of cases: an attempt to abuse Windows’ automatic proxy discovery feature, known as WPAD.
WPAD is a Windows feature that automatically discovers proxy settings when a device connects to a network. In this campaign, attackers abused it by controlling DNS responses, potentially tricking Windows into loading a malicious proxy configuration. If successful, they could intercept traffic from browsers, authentication services, and enterprise apps. Because the traffic still uses HTTPS, the attack can blend in with normal network activity and be difficult to detect.
Pull that off and the attacker routes a much wider slice of an employee’s traffic, not just login attempts, through their own proxy. In a smaller number of cases, the attackers skipped credential theft entirely and went after Microsoft’s device-code sign-in flow instead, tricking users into approving a login they didn’t realize belonged to someone else. Approve that prompt and the attacker walks away with a valid, MFA-cleared session token, no password needed.
“In roughly one-third of observed cases—Windows devices that didn’t have Web Proxy Auto-Discovery (WPAD) disabled, or Mac devices—the attacker also attempted WPAD abuse. If successful, it routes all Windows application traffic through the attacker’s proxy, broadening the redirection surface well beyond authentication traffic.” continues the report. “This technique wasn’t documented in prior FrostArmada-linked reporting, making it one of the clearest distinctions between this campaign and previously observed APT28 activity.”
There’s a pattern connecting all this to previous campaigns. The tradecraft echoes a Russian-linked operation called FrostArmada, which hit home routers the same way earlier this year, and researchers tie both to the group known as APT28 (aka UAC-0001, aka Fancy Bear, Pawn Storm, Sofacy Group, Sednit, BlueDelta, and STRONTIUM). The link isn’t a smoking gun; it’s shared technique, not shared infrastructure, and the researchers say so plainly.
The fix is almost boringly simple, which is rare in this line of work. Force every corporate device onto an always-on VPN with full-tunnel routing, so DNS never touches the hotel network at all, and shut off split-tunnel exceptions that would let it sneak through anyway. Disable WPAD where nobody needs it, block Microsoft’s device-code flow at the identity provider unless someone has a real reason to keep it, and train people to check the certificate before they type a password on airport or hotel Wi-Fi.
None of this requires new budget or a six-month project. It requires someone actually flipping the switches that already exist.
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