Apple issued warnings across 99 nations as the Apple mercenary spyware threat targets investigative journalists with sophisticated surveillance tools.

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The post Apple Mercenary Spyware Threat Prompts Global Alerts appeared first on Daily CyberSecurity.

Apple warns German Bundestag lawmakers of mercenary spyware attacks; BSI urges victims to assume compromise.

The German government is warning politicians and public figures that they were targeted by government-backed spyware. The warning follows Apple’s notifications, which began reaching iPhones on October 29, according to the federal cybersecurity office, the BSI. The BSI says members of the Bundestag and other notable people got an Apple alert about an attack with so-called mercenary spyware.

“The Federal Office for Information Security ( BSI ) has learned that several members of the German Bundestag and other public figures have received a threat notification from Apple on their devices since October 29, 2026. In the notification, Apple states that it has detected an attack using so-called mercenary spyware . This is commercially developed, advanced spyware that has frequently been used in the past by state actors against specific, targeted individuals.” reads the notice issued by BSI.

“The BSI (Federal Office for Information Security) is unaware whether these notifications indicate actual compromises or merely signal attempted attacks.y “

“Germany’s digital minister, Karsten Wildberger, has confirmed that members of the Bundestag and the federal government received warnings from Apple that their iPhones may have been targeted by spyware.” states the report.

Digital minister Karsten Wildberger confirmed it on ARD’s Bericht aus Berlin on Sunday, saying there had been “a notification from Apple that certain devices may have been compromised” and that members of both the Bundestag and the federal government were among those warned. Digital minister said the BSI had reacted super quickly and written to everyone affected. Wildberger didn’t say how many politicians got the alerts or who they are.

“According to Wildberger, the BSI advised those affected to assume – as a precaution – that their device may have been compromised, because the alerts do not show whether an attack succeeded.” states Euronews.

The German government has not revealed who was targeted. Government spokesperson Stefan Kornelius told the Financial Times that officials are taking the incident and Apple’s warning very seriously. However, he did not say which government members received the alerts or whether Chancellor Friedrich Merz was among them. Apple has not commented on the reports, according to Euronews.

The Apple warning does not provide all the answers. Apple does not identify the governments behind these attacks, nor does it confirm whether a device was actually infected. Germany’s cybersecurity agency, the BSI, also says it is unclear whether the alerts indicate successful infections or only attempted attacks.

Apple says mercenary spyware is far more advanced than common cybercrime tools and that most users will never be targeted. This commercial surveillance software is often used on behalf of governments to spy on specific individuals. It can infect devices through so-called zero-click attacks, which do not require victims to open a message or click a link. In most cases, victims do not notice anything unusual.

Once a phone is compromised, the BSI says, attackers can read messages, including in encrypted apps, and access calls, contacts, calendars and location. They can also turn on the camera and microphone. That’s the whole phone, not a corner of it.

For recipients the BSI’s advice is concrete. Update the operating system immediately, unless you plan a forensic analysis, and consider turning on Lockdown Mode, which makes new attacks harder but doesn’t remove an existing infection. Lockdown Mode limits some features such as message attachments, link previews and FaceTime calls from unknown people, while calls and plain text messages keep working.

If the risk looks high, the BSI suggests replacing the device. That means resetting every account used on it and, to make repeat attacks harder, changing the phone number. Then set a new device passcode, change the passwords of your Apple account and email, and make sure two-factor authentication is on.

The BSI recommends turning on Signal’s registration lock and WhatsApp’s two-step verification, with a new PIN for each. It also advises removing any linked devices you don’t recognize.

Anyone who received a warning can email the BSI Service Center at service-center@bsi.bund.de. This helps the agency work out how many people may be affected. The agency says a genuine Apple warning never asks you to click links, open files, install apps or profiles, or share passwords and codes. These warnings appear on the lock screen, in settings, by email and at the top of account.apple.com after you sign in.

The warnings weren’t limited to Germany. Beirut-based filmmaker Radwan Mortada said on X that Apple had warned him about another attack against his device. He had already been targeted by spyware in 2021.

According to his notice, Apple sent the latest warnings to users in 99 countries. Nobody has publicly identified the attackers or the government that may have ordered the attacks.

The BSI warned German lawmakers that Apple threat notifications may indicate compromised devices and urged recipients to contact the agency and take protective measures.

“Those affected who have received a corresponding warning message from Apple should therefore assume that their device may have been compromised.” BSI concludes. “In a letter dated October 30, 2026, the German Federal Office for Information Security (BSI) alerted members of the German Bundestag to the threat and informed them of necessary measures. Affected individuals were urged to contact the BSI directly .”

Follow me on Twitter: @securityaffairs and Facebook and Mastodon

Pierluigi Paganini

(SecurityAffairs – hacking, Bundestag)

This story is interesting:

One Civic owner purchased a cheap aftermarket head unit off Amazon, and decided to have Claude work its magic on it, like it would a smart TV. What was reportedly discovered isn’t surprising, but is worth knowing about.

Among the pre-installed bloatware—­or spyware, if you’re being less charitable­—was a voice assistant equipped with WebView, an Android system component that lets apps display content off the web. This apparently always used about a third of processing power, even while idle, which isn’t great. There were also Baidu location services, a call recorder (!), a DAB radio client that is pretty much useless in the U.S., and Adobe Acrobat, presumably so your passenger can entertain themselves with PDFs on the go.

It’s interesting because it exposes all the insecurities in this piece of IoT software. But I think the real story is that a random person was able to do this reverse-engineering with the help of AI. Expect a lot more stories like this in the future.

Researcher Ovi exposes uCreator Android spyware. The YingGai uCreator Android spyware platform uses VirtualApp and LSPatch to hijack 20 mobile apps.

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The post uCreator Android Spyware Hooks Telegram and WeChat Inside Virtual Containers appeared first on Daily CyberSecurity.

uCreater is Android spyware disguised as trusted apps, stealing credentials, messages and wallet data through a rentable platform.

uCreater is a rentable Android spyware platform that hides inside repackaged legitimate apps, targeting messaging services and mobile wallets. Its YingGai framework can intercept one-time passwords, steal account and chat data, collect contacts, manipulate sessions and spoof camera feeds to bypass identity checks. Victims may install modified versions of Telegram, WeChat or GCash through sideloading or social engineering.

Researcher Ovi found stolen data on a control server, but the number of victims and links between operators and customers remain unconfirmed.

“The repackaged APK can be relatively thin: target-specific instrumentation is retrieved after installation from the operator’s Alibaba OSS and MinIO infrastructure, including buckets and paths named Huuk_<target> and fengzhuang-app (literally, “packaging”). Distribution hosts include telegram-apk.uzyzx.com.” researcher Ovi states. “I could reconstruct much of the post-installation execution chain from the recovered code, but I could not directly establish the initial delivery mechanism for every victim.”

Ovi rebuilt most of the chain from recovered code but couldn’t establish how every victim got the first install.

The product is older than the samples. The package com.ucreater.autotool dates to about 2014, Windows tools tied to ucreater.com were signed between 2016 and 2019, and the YingGai mobile line shows up in records from September 2021. The samples Ovi studied run from 2024 to 2026: uip.exe builds from February to December 2024, Telegram repacks from July and November 2024, the WeChat host and Telegram framework from December 2024, and the Onion Box client from March 2026. The control server’s ICP filing, 湘ICP备2024061212号, dates to 2024.

The infrastructure hints at scale, though not at victim numbers. Ovi counts about 20 target apps with confirmed code support, six operator domains with dozens of subdomains, three Redis buses, two MQTT buses, and a cloud-phone cluster in Changsha spread across several ISPs. A Censys search for the operator’s Tengine gateway fingerprint returned roughly 48 hosts. It looks like a multi-year product sold to many downstream operators, but he can’t say how many customers used it or how many devices fell.

Attributing the platform to a specific legal entity is more difficult. Hunan Youchuang Technology is linked to the ucreater.com brand and a self-signed certificate on videoflow.cn. Changsha Sukai Network holds the ICP filing for the control server’s main domain, qianxuncc.cn, while Changsha Zhuoqing E-commerce appears as the signing identity on uip.exe, using a DigiCert certificate. A common owner is plausible but unproven.

Another lead involves hunanzhijing.com, a domain belonging to the Hunan Intelligent Police Public Safety Technology Research Institute. It shares the same gateway fingerprint, and an official Hunan document connects the institute to an intelligent-policing research project. However, shared cloud infrastructure establishes only co-tenancy, not ownership or operational involvement. There is no evidence that the police developed or operated uCreater.

Other infrastructure links also require caution. A Thailand-based relay used by the Telegram component, hosted on Huawei Cloud, also served gambling websites, an advertising-account service and an SMS service. The cloud-phone web client displayed a certificate for another vendor, while the gateway served a Vue application titled 舆情交易, meaning “public-opinion trading”. These observations are leads for further investigation, not proof of common ownership.

uCreater relies on app virtualization, a technique already identified by Zimperium as a growing mobile threat. VirtualApp runs another application inside a container, LSPatch merges code hooks into repackaged apps without requiring root access, and Pine hooks Android’s runtime. Together, these components allow malicious code to operate inside a legitimate app while it is signed in and has access to decrypted data.

“uCreater is notable because it turns these techniques into a reusable, remotely managed product.” the researchers continues.

Operators distribute modified versions of Telegram-X, Telegram-Web and other messaging apps, integrating modules through LSPatch or loading them from an asset called TgJarPine.dex. WeChat can instead run inside a VirtualApp container, including the va_vx or Onion Box host. LSPatch also stores the original APK under cache/lspatch/origin/*.apk. The presence of this path or the specific asset can help identify an infected device.

The approach differs from GodFather, a banking trojan documented by Zimperium that runs apps in a virtual container and displays fake overlays to capture credentials. uCreater operates inside the real application without relying on an overlay. It uses XposedBridge hooks, reflection and access to the app’s own database interfaces. This allows it to reach beyond login screens and potentially support any application for which the vendor develops a module. Ovi found no evidence linking the two platforms.

One distinguishing feature is a local command server embedded in each hooked application. It exposes around 40 numbered handlers, with descriptions and parameters that allow operators to discover available functions. The code supports device monitoring, contact and SMS collection, installed-app enumeration, message sending, chat-history retrieval, session management and account-related actions.

The Telegram module can execute SQL queries directly against the application’s live database through its own interface. Its Db_MessagesStorageRawQuery handler accepts operator-supplied SQL and returns results through compatibility classes that recreate Telegram objects. This can expose information that would otherwise be protected in the app’s encrypted or locally stored data while the application is running.

The module also hooks Telegram’s SRPHelper.getX routine, capturing the two-step verification password in cleartext before hashing and storing it for exfiltration. The code provides functions to list or reset sessions, change or confirm a linked phone number, delete an account and lock users out. It can also remove its own session from the victim’s device list, potentially concealing the operator’s access. Ovi stresses that the source code demonstrates these capabilities, not that every action has been successfully performed against victims.

The implant retrieves its control-server address from Redis using the Domain key, optionally selecting a value for a particular channel. It caches the address and can fall back to a hardcoded value, explaining why callback domains differ between builds. Signed JSON beacons report to endpoints under /api/callback/Tg*, while command requests include a device fingerprint and signature and use retries with increasing delays.

Updates and additional code arrive through Alibaba Object Storage Service (OSS) and MinIO. The Telegram module retrieves an update manifest and hooks from designated storage paths, while a contacts.vcf file can supply contact information. The WeChat component subscribes to a Redis channel identified by a device-specific machine ID, with its host and credentials embedded in a child code file.

The WeChat module focuses on account access rather than chat-history collection. Its _2_0_UploadAppLoginInfo command retrieves login identity information, after which the app data can be packaged, uploaded to OSS and used in account cloning. Ovi found no evidence that the examined sample accessed WeChat’s encrypted database.

Ovi tested uCreater on a Pixel 10 Pro running Android 17 and found that its bundled Pine engine fails because of changes to Android’s internal APIs. The latest sample, dated July 29, 2026, still uses the outdated engine. Although this creates obstacles for operators, updating Pine could restore functionality, and other devices remain untested. Ovi also identified five samples that successfully contacted the control server, confirming active deployments targeting Telegram, Telegram-X and WeChat.

Ovi and researcher Jurre discovered the platform’s source code after finding an exposed GitLab server. Other infrastructure was protected by IP allowlists, but this server contained the control platform’s source code, configuration and operational details.

The repositories revealed Spring Cloud services for command dispatch, authorization capture, data collection, backups and message bridging, alongside a Vue-based administration console. Thirteen repositories contained commit histories identifying roughly three dozen developers, with activity timestamps consistent with China time. At least one commit used a corporate email domain associated with Tanzhou, a Changsha software firm.

uCreater’s backend is a rented, multi-tenant platform that lets operators manage infected devices, steal account data and automate contact collection. Kafka, RocketMQ, Redis and Nacos coordinate commands and schedule activity to avoid triggering security controls. The infrastructure runs on Aliyun and Huawei Cloud, with control services and storage hosted in China. Although GitLab records identify developers behind key components, Ovi stresses they are not confirmed operators. The recovered backend did not appear to support Telegram, and some callback domains are no longer active.

Ovi attributes the platform to a vendor in Changsha and Hunan operating through three companies, each linked to a different technical or infrastructure artifact. The reseller model, focus on mobile wallets and theft of authentication codes suggest financially motivated crime, but the researcher presents this as an assessment rather than a proven fact.

The technical findings show that uCreater goes beyond a conventional banking trojan or a tool that merely steals credentials. By embedding code inside legitimate applications, it can manipulate sessions, access account data, collect contacts and potentially take control of messaging accounts. Its rented, multi-tenant architecture also allows different operators to use the same underlying platform.

The scale of the infrastructure indicates a substantial operation, but neither the number of customers nor the number of compromised devices has been established. Likewise, infrastructure overlaps and developer records provide investigative leads, not conclusive proof of who operated the spyware or who was responsible for individual attacks.

“Mapping points to a commercial resale structure, and targeting driven by wallets and OTPs. My assumption is financially-motivated crimeware.” concludes the report.

Follow me on Twitter: @securityaffairs and Facebook and Mastodon

Pierluigi Paganini

(SecurityAffairs – hacking, newsletter)

Citizen Lab exposes the AdFection spyware attack, a zero-click ad-bidding exploit that targeted at least 45 Al Jazeera devices.

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The post AdFection Spyware Attack Targets Al Jazeera Devices appeared first on Daily CyberSecurity.

Spyware vendors use online ad infrastructure to profile targets and deliver exploits without requiring users to click anything.

The investigation links Discover-Tech to Candiru, an Israeli spyware vendor that the US government placed on its Entity List in 2021. Candiru has since used the name Integrity Labs. Citizen Lab also identified links involving other surveillance companies, including Bindecy and Intelos, suggesting that Discover-Tech’s infrastructure served more than one customer.

The researchers examined almost four billion advertising bid records covering March to June 2026. During that period, Discover-Tech’s MyDSP platform bid on nearly 3.77 billion ad impressions and won about 442 million, with advertisements appearing across more than 120,000 websites and 70,000 mobile apps.

“We reviewed bidding data for MyDSP for four months (March through June 2026). In this period, Discover-Tech’s MyDSP bid on 3,770,286,576 impressions, and appeared to win 441,954,291 (11.7%). About 76.7% of the bids were for ad impressions in mobile apps, and 23.3% for impressions in the web browser.” reads the report published by Citizen Lab. “The database shows a total of three advertisers, with nine total combinations between advertiser and an advertiser domain name.”

Reuters, citing Citizen Lab and advertising security firm Confiant, reported that the company’s wider advertising activity reached more than 120,000 websites and 75,000 apps, potentially exposing hundreds of millions of people to its tracking infrastructure.

The distinction between exposure and infection matters. Most advertisements didn’t necessarily deliver spyware, and seeing one doesn’t prove a device was compromised. But the system gave Discover-Tech a way to profile users at scale and select particular devices for more intrusive operations.

“In 2024 and 2025, international news network Al Jazeera was targeted in a series of zero-click attacks that we link with high confidence to Candiru’s spyware delivered via Discover-Tech’s ads. At least 45 devices within Al Jazeera were targeted in these attacks.” continues the report.

Citizen Lab reached this finding by examining network logs supplied by the broadcaster. The researchers linked the activity in 2024 and 2025 to Candiru spyware delivered through Discover-Tech advertisements, providing technical evidence of a real operation rather than a theoretical attack scenario.

The advertising records also showed impressions on networks associated with sensitive organizations, including the Pentagon, NATO, the United Nations, the European Commission and the International Criminal Court. Researchers identified activity involving government, defense, media and critical-infrastructure networks across several countries.

These findings don’t mean that every organization whose network displayed an advertisement suffered a spyware infection. They do show that advertising infrastructure can reach people working in environments where their identities, communications and device activity have intelligence value.

This creates a problem for security teams. Traditional defenses focus on malicious attachments, suspicious links, vulnerable software and unauthorized network connections. AdFection adds another route: code delivered through a service that users and organizations routinely allow because it supports ordinary web browsing.

Advertising identifiers, IP addresses, browser characteristics and other technical signals can help operators distinguish one device from another. When combined with targeted advertising, these signals can support reconnaissance and help an operator decide which users merit further attention. In intelligence terms, the same infrastructure can support both broad collection and selective exploitation.

Discover-Tech’s access to major advertising platforms helped its operations appear legitimate. Citizen Lab found that Google and the advertising industry association IAB Europe had listed the company among approved vendors for years, despite links to people and businesses associated with the surveillance industry.

Following the investigation, Google terminated Discover-Tech’s access to its advertising exchanges, while IAB Europe suspended its vendor status. Beeswax removed the company from its platform, and Vungle, operated by Liftoff, paused its access while reviewing the findings. Eskimi also blocked its accounts and domains.

These actions matter, but they don’t resolve the underlying problem. The advertising industry relies on complex chains of buyers, exchanges, publishers and third-party scripts, often with limited visibility into what each component does when an advertisement loads. A company can pass routine checks while using targeting rules to deliver different code to different users, making malicious behavior harder to detect through automated scanning alone.

Organizations should treat online advertising as a potential attack surface, particularly on devices used by executives, intelligence personnel, journalists and employees with access to sensitive systems. Blocking advertisements and tracking requests at the network gateway can reduce exposure, while managed devices should disable ad personalization where possible and use browsers with strong tracking protections.

Security teams should also review traffic generated when advertisements load, looking for unexpected connections to external infrastructure or suspicious scripts. Organizations facing elevated targeting risks should consider stricter controls on advertising, browser extensions and third-party content, especially on systems used to access confidential information.

The larger lesson is that a familiar user experience doesn’t guarantee a safe technical process. A banner promoting a phone or a pair of earbuds may look entirely ordinary, while the code behind it performs tracking or checks whether the device matches a target. The victim doesn’t need to click anything, and that’s precisely what makes this technique difficult to spot.

“The distribution of spyware via targeted ads represents a security risk not only for potential victims but also for states and civil society at large.” continues the report. “Two major U.S. security agencies, the National Security Agency (NSA) and the Cybersecurity and Infrastructure Security Agency (CISA), have warned already in 2018 and 2020 that adversaries may leverage malicious ads to deploy malware on devices, and thus both recommended that government agencies and other organizations use ad-blocking software.”

This is the central warning from Citizen Lab’s investigation: online advertising is no longer just a privacy concern. Under the right conditions, it can become an operational tool for espionage.

Follow me on Twitter: @securityaffairs and Facebook and Mastodon

Pierluigi Paganini

(SecurityAffairs – hacking, spyware)

Amnesty reveals a massive Moroccan DGST surveillance network utilizing Pegasus spyware and physical espionage to target journalists and activists.

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The post Moroccan Intelligence Deploys Vast Surveillance Panopticon appeared first on Daily CyberSecurity.

Zimperium zLabs discovered Mantax Otax Android malware, a fierce Indonesian mobile ransomware integrating spyware to hijack, record, and extort victims.

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The post Mantax Otax Android Malware: Spyware Meets Ransomware appeared first on Daily CyberSecurity.

Os pesquisadores de cibersegurança descobriram uma nova família de malware para Android, chamada Manic. Esse malware permite que criminosos espionem vítimas, roubem credenciais bancárias e assumam o controle remoto de dispositivos infectados.

Mas seu truque mais extraordinário é o seguinte: o Manic pode repassar os dados roubados aos invasores, mesmo quando o dispositivo em questão não tiver conexão com a Internet. Aparentemente, interrupções aleatórias da Internet móvel parecem atrapalhar os cibercriminosos tanto quanto qualquer outra pessoa, então os agentes por trás do Manic criaram uma solução alternativa incomum.

Pessoas em vários países europeus estão em risco, da Rússia ao Reino Unido. Nesta postagem, explicamos o que esse cavalo de Troia pode realmente fazer, como ele envia clandestinamente os dados roubados aos invasores e como você pode proteger seu dispositivo Android contra Manic e outras ameaças semelhantes.

Como o Manic se espalha e quem está em risco

Os pesquisadores ainda não identificaram exatamente como os invasores estão instalando o Manic nos dispositivos das pessoas. Normalmente, malware como esse se espalha por meio de canais como:

• Aplicativos infectados em lojas de aplicativos legítimas
• Arquivos APK maliciosos compartilhados em sites piratas
• Links de download enviados por meio de aplicativos de mensagens e e-mail
• Sites fraudulentos

O Google disse a jornalistas que não encontrou nenhum vestígio do Manic se disseminando por meio de aplicativos da Google Play Store. Isso sugere que os usuários provavelmente estão instalando aplicativos infectados de fontes não oficiais.

Os especialistas rastrearam o início da infraestrutura dos invasores nesta campanha até fevereiro de 2026. As primeiras amostras do próprio malware foram encontradas no final de maio deste ano. Desde então, os criminosos por trás do cavalo de Troia refinaram as formas de se esconder da detecção no dispositivo da vítima.

Atualmente, o Manic combina os poderes de um cavalo de Troia bancário, spyware e uma ferramenta de acesso remoto que permite que um invasor controle o dispositivo. Os invasores estão especialmente interessados em dados de fontes como:

• Aplicativos bancários e serviços de pagamento
• Aplicativos oficiais do governo
• Carteiras e plataformas de negociação de criptomoedas
• Aplicativos de autenticação de dois fatores
• Mensagens de texto e notificações: principalmente os códigos de uso único usados para verificar logins ou aprovar transações

Ao analisar quais aplicativos bancários o Manic tem como alvo, os pesquisadores conseguiram descobrir quais países ele pretende atingir. Acontece que seu alcance é amplo, abrangendo Áustria, República Tcheca, Estônia, França, Alemanha, Lituânia, Holanda, Polônia, Rússia, Eslováquia, Espanha, Ucrânia e Reino Unido.

Senhas roubadas, códigos interceptados, controle remoto: o que o Manic pode realmente fazer

Vamos analisar exatamente quais informações o Manic rouba e como ele consegue obtê-las. O principal truque do malware consiste em abusar dos serviços de acessibilidade do Android, um conjunto de recursos integrados desenvolvidos para ajudar usuários com deficiências visuais. Usados da forma pretendida, esses recursos são genuinamente úteis para pessoas com perda de visão. Mas os criminosos há muito tempo exploram silenciosamente essas ferramentas para seus próprios interesses.

Depois que o usuário concede ao aplicativo permissão para usar os Serviços de Acessibilidade, esse aplicativo pode “ver” o texto e os botões na tela, interagir com eles, rolar pelas páginas e executar ações automaticamente, tudo como se o próprio usuário estivesse fazendo isso. Os invasores usam esse recurso para ler mensagens na tela, conceder silenciosamente permissões extras ao malware, interferir nas tentativas de desinstalá-lo, desativar as proteções de segurança ou controlar outros aplicativos sem que a vítima perceba.

Com o Manic, esse abuso dos serviços de acessibilidade é combinado com os recursos avançados do próprio cavalo de Troia. Ele pode gerar um teclado invisível que fica sobreposto ao teclado real do telefone. Quando o usuário digita sua senha para fazer login em um aplicativo bancário, o Manic registra exatamente quais teclas foram pressionadas. Em seguida, ele usa os serviços de acessibilidade para reproduzir instantaneamente a mesma sequência de teclas no teclado do aplicativo real.

O Manic gera uma camada de captura transparente que cobre o teclado do telefone, registra cada toque e o retransmite ao teclado real. Fonte

Isso significa que os invasores não precisam criar uma tela de login falsa para cada aplicativo que desejam alcançar. Uma vez que o Manic funciona como uma camada invisível sobre o aplicativo genuíno, tudo parece e se comporta como de costume, portanto, o proprietário do telefone não tem motivos para suspeitar que está entregando seu PIN ou senha a um criminoso.

O Manic não registra simplesmente tudo o que o usuário digita. Ele reconhece automaticamente o tipo de informação capturada e a classifica em categorias: senhas, logins de e-mail, códigos SMS de quatro a seis dígitos, sequências de caracteres que se parecem com frases-semente de carteiras de criptomoedas e códigos de desbloqueio ou padrões de desbloqueio do telefone. Juntamente com o próprio texto capturado, o Manic também registra de qual aplicativo ele veio, quando foi inserido, se o usuário o digitou manualmente ou usou o preenchimento automático e se o aplicativo está em sua lista de alvos.

As capacidades do Manic não param na coleta de informações. Usando os serviços de acessibilidade novamente, ele também permite que os invasores assumam o controle remoto de um dispositivo infectado. Para ocultar essa atividade, o Manic pode exibir uma tela preta ou fingir que está realizando uma atualização do sistema.

Além de usar os serviços de Acessibilidade, o malware também solicita permissão para ler mensagens de texto e notificações. Isso permite que os invasores interceptem códigos de autenticação de dois fatores e códigos de verificação de uso único antes que a vítima tenha a chance de digitá-los no aplicativo.

Em suma, o malware dá aos invasores não apenas senhas, credenciais bancárias e códigos de verificação, mas também a capacidade de controlar remotamente o telefone da vítima.

Nem mesmo ficar offline impede o roubo de dados por parte do malware

O método original do Manic para retransmitir dados roubados do dispositivo para os invasores merece uma menção especial. Ainda hoje, os dispositivos ficam offline com mais frequência do que as pessoas poderiam esperar, e os criadores do Manic criaram uma solução alternativa especificamente para essas situações.

Normalmente, um malware como esse coleta informações no dispositivo e as envia diretamente para um servidor controlado pelos invasores. Mas o que acontece quando o dispositivo infectado não tem acesso direto à Internet ou não consegue acessar o servidor de comando e controle por algum outro motivo?

Nesse caso, o Manic simplesmente armazena os dados roubados no dispositivo e começa a verificar nas proximidades outros telefones infectados que possam ser acessados por Wi-Fi ou Bluetooth. Se encontra algum com acesso à Internet, ele transfere os dados criptografados para esse telefone, que então os encaminha para o servidor dos invasores.

Mas não para por aí. Os dados podem passar por uma cadeia de dispositivos infectados. Por padrão, o Manic permite até quatro desses dispositivos de retransmissão na cadeia. Se nenhum dispositivo adequado estiver próximo, os dados simplesmente permanecem no telefone original e o Manic tenta novamente mais tarde.

Como proteger seu telefone do Manic e de outros cavalos de Troia bancários

Os malwares para Android estão cada vez mais sofisticados. Por isso, vale a pena lembrar e, de fato, seguir alguns hábitos básicos de higiene digital para usuários de telefones e tablets Android:

• Evite instalar aplicativos de fontes não oficiais.
• Não conceda permissão a aplicativos para usar os Serviços de Acessibilidade, a menos que isso seja absolutamente necessário e você entenda exatamente por que eles precisam dessa permissão.
• Instale um software de segurança confiável em todos os seus dispositivos, execute verificações regularmente e leve seus avisos e recomendações a sério. Recomendamos o Kaspersky para Android. Nossos aplicativos de segurança para Android estão temporariamente indisponíveis na Google Play Store, portanto, para instalá-los em um dispositivo Android, recomendamos usar uma loja de aplicativos alternativa ou instalar o arquivo APK manualmente a partir de nosso site. Um guia passo a passo completo está disponível em nossa postagem Como instalar ou atualizar apps da Kaspersky para Android em 2026.

O malware não tem como alvo apenas os smartphones; ele também se sente em casa em outros dispositivos com Android, de dispositivos de streaming a… carros. Confira os detalhes em nossos posts relacionados:

• Botnet sobre rodas: o primeiro cavalo de Troia voltado para centrais multimídia automotivas
• Vulnerabilidade da Qualcomm: consertos de celulares e manutenção de carros não são mais seguros
• Sua TV box virou uma porta de entrada para terceiros?
• O trojan para Android que simula serviços governamentais e aplicativos da Starlink
• A tempestade perfeita de ameaças no Android

At least 14 people connected to Serbia's student protest movement and opposition politics have been targeted with mercenary spyware since early 2026, the Belgrade-based digital rights organization SHARE Foundation said, in what it called the largest documented wave of such targeting in the country.

The group said the cohort includes student movement members, civil society activists, a member of parliament and a local councilor. Forensic analysis was independently confirmed by the Citizen Lab at the University of Toronto and by Amnesty International's Security Lab.

Citizen Lab, in its own findings, said it verified an infection with NSO Group's Pegasus on the iPhone of a student activist who asked not to be named. High-confidence infection indicators span December 2025 through January 2026, delivered by a zero-click iMessage exploit that required no interaction from the target. Apple has since patched the underlying flaw; the fix shipped in iOS 18.4.1. Pegasus grants an operator access to notes, photographs and messages decrypted on the device, and can silently activate the microphone and camera.

Amnesty's Security Lab confirmed a new variant of NoviSpy, an Android implant first identified in Serbia in 2024, on two additional devices. SHARE said the rebuilt version was designed to evade the detection methods that exposed its predecessor.

Also read: Investigative Journalists in Serbia Hit by Advanced Spyware Attack

The circumstances of two infections are what elevate the findings beyond routine spyware reporting. SHARE said one NoviSpy infection appeared after police seized a student's phone during questioning, and another after private messages from that device were published by a pro-government media outlet. Donncha Ó Cearbhaill, who heads Amnesty's Security Lab, said the evidence suggests "infections are being carried out during detention by Serbian authorities."

Suspicion centers on Serbia's Security Information Agency, or BIA. Amnesty's December 2024 report "A Digital Prison" found earlier NoviSpy samples configured to send collected data to IP addresses associated with BIA servers, and documented the agency's parallel use of Cellebrite extraction tools on journalists and activists. In March 2025, Amnesty reported that two journalists at the Balkan Investigative Reporting Network were targeted with Pegasus.

The current cases surfaced through Apple's threat notification wave of Aug. 13, which reached users in 110 countries. The timing is politically loaded. The targeting overlaps with protests that followed the November 2024 collapse of a railway station canopy in Novi Sad, spans local elections held March 29 in 10 municipalities, and precedes October parliamentary elections widely read as a test of the ruling Serbian Progressive Party.

Ana Toskic Cvetinovic, a legal expert cited in the reporting, noted that deploying intrusive software without judicial authorization is unlawful under Serbian law. SHARE published an analysis of the domestic legal framework in January arguing the same. Criminal complaints filed over the 2024 cases remain pending before Serbian courts, with no resolution.

Also read: 7 New Pegasus Infections Found on Media and Activists’ Devices in the EU

NSO has been on the U.S. Commerce Department's Entity List since 2021.

Serbia is an accession candidate, the European Parliament has previously questioned the Commission over unlawful spyware use in the country, and the Commission published its 2026 enlargement country report in July. Amnesty's submission for that package raised surveillance directly.

Both groups urged at-risk users to enable Lockdown Mode on iOS or Advanced Protection on Android.

All threats

In Q2 2026, the percentage of ICS computers on which malicious objects were blocked continued to decrease, falling to 19.15%, its lowest level since 2022.

Percentage of ICS computers on which malicious objects were blocked, Q3 2023–Q2 2026

Regionally, the percentages ranged from 8.1% in Northern Europe to 27.9% in Africa.

Regions ranked by percentage of attacked ICS computers

The figures increased in five regions over the quarter, most notably in East Asia (by 2.0 pp) and Africa (by 0.5 pp).

East Asia saw increases in percentages for all threats except miners. The region ranked first in terms of growth for malicious scripts and phishing pages, spyware, and viruses. East Asia also led in terms of growth in threats from the internet. The percentage of ICS computers on which email threats were blocked also increased.

Selected industries

The biometrics sector (26.44%) has traditionally led the rankings of industries and OT infrastructures surveyed in this report in terms of the percentage of ICS computers on which malicious objects were blocked. Biometric systems are characterized by the availability of internet access, extensive email use for data exchange and approvals (e.g. access granting), and, in many cases, minimal cybersecurity controls within the organizations that use them.

Industries ranked by percentage of ICS computers on which malicious objects were blocked

The biometrics sector ranked first among industries in terms of the following threat categories: malicious scripts and phishing pages, malicious documents, spyware, ransomware, and worms. The sector is also leading among industries in terms of email threats. At the same time, unlike other industries, the percentage of affected ICS computers for email threats in biometrics exceeds that for internet threats.

In all selected industries, the global average follows a downward trend.

Threat categories

In Q2 2026, Kaspersky security solutions blocked malware from 10,904 different malware families of various categories on industrial automation systems.

Over the quarter, the percentage of ICS computers on which malicious objects of the following categories were blocked increased: denylisted internet resources, malicious documents, worms, ransomware, and malware for AutoCAD.

Percentage of ICS computers on which the activity of malicious objects from various categories was blocked

Malicious scripts and phishing pages (JS and HTML)

Malicious scripts and phishing pages remained in first place in the threat category rankings based on the percentage of ICS computers on which the respective threats were blocked. In Q2 2026, the global average dropped to 5.42%.

Over the quarter, the figure for this category only increased in East Asia, rising by 0.93 pp to 4.86%. This is the second-highest figure in the region in the last three years.

In East Asia, the percentage of ICS computers affected by malicious scripts and phishing pages increased in all the industries surveyed, except construction. The highest figures were recorded for biometrics (9.01%) and building automation (6.49%).

Denylisted internet resources

In Q2 2026, denylisted internet resources rose in the threat category rankings from third to second place, displacing spyware. Globally, the percentage of ICS computers on which denylisted internet resources were blocked has been increasing for two quarters in row and reached 4.31%.

The figures increased in all regions over the quarter, most notably in Russia (by 1.33 pp). Moreover, Russia ranked first (5.17%) among the regions in terms of denylisted internet resources. Since 2022, the region has topped these rankings twice before, both times in Q2: in 2022 and 2024.

Among the selected industries in Russia, the highest figures for the denylisted internet resources were in the electric power (6.61%) and engineering and ICS integration (5.62%) industries.

Malicious documents (MSOffice + PDF)

Malicious documents ranked fourth in the threat category rankings by the percentage of ICS computers on which they were blocked. The percentage for this category decreased over the previous three quarters, reaching its lowest level in three years. However, in Q2 2026, it increased to 1.77%.

Over the quarter, the figures for malicious documents increased in seven regions, most notably in South America (by 1.35 pp) and Southern Europe (by 0.48 pp). These two regions are among the top three in terms of malicious documents, malicious scripts and phishing pages, as well as threats from email clients.

South America ranked second in the rankings of regions in terms of malicious documents. In Q2 2026, the percentage of ICS computers in the region on which this threat was blocked was 3.56%, which was the fourth highest in three years.

Among the selected industries in South America, the highest percentage of ICS computers on which malicious documents were blocked was in biometrics (6.67%).

Southern Europe ranked first in the rankings of regions in terms of malicious documents. In the previous quarter, the percentage of ICS computers in the region on which this threat was blocked was the lowest in three years, but in Q2 2026 it increased to 3.63%.

Among the selected industries in Southern Europe, the highest percentage of ICS computers on which malicious documents were blocked was once again in biometrics (11.48%).

Spyware

Spyware ranked third in the threat category rankings based on the percentage of ICS computers on which it was blocked. The percentage for this category (3.30%) is the lowest since 2022.

Over the quarter, the figures increased in three regions, most notably in East Asia (by 0.53 pp) and Southeast Asia (by 0.42 pp).

East Asia ranked third based on the figures for spyware (4.77%), behind Africa and Southeast Asia. This is the region’s highest rate since Q2 2025. Among the countries and territories in the region, the highest percentage of ICS computers on which spyware was blocked was in mainland China (6.61%). Among the selected industries in East Asia, the highest figures for spyware were in the electric power (11.75%) and manufacturing (5.87%) industries. In all the industries surveyed, the figures are higher than the regional average.

Southeast Asia ranked second after Africa in the ranking of regions in terms of spyware, with 5.32%. Among the selected industries in Southeast Asia, the highest figures for spyware were in biometrics (8.93%) and manufacturing (7.32%). The figures increased in all industries over the quarter.

Ransomware

The percentage of ICS computers on which ransomware was blocked decreased in the previous three quarters but increased to 0.16% in Q2 2026.

During the quarter, the percentage increased in all regions, except Western and Southern Europe and North America (Canada). Africa led the ranking in terms of growth for this metric.

In Q2 2026, Africa ranked first among the regions in terms of the percentage of ICS computers on which ransomware was blocked (0.29%). The only time the figure in the region was higher in the past three years was Q2 2025 (0.31%).

Among the selected industries in Africa, the highest figures for ransomware were in the electric power industry (0.72%) and biometrics (0.52%). Over the quarter, the figures increased in all industries, except manufacturing and construction. The biggest increase was recorded in the electric power industry.

In Russia, the percentage of ICS computers on which ransomware was blocked in biometric systems has increased for three consecutive quarters, reaching 1.22%. This is the highest level of ransomware across all industries in all regions.

Miners

In Q2 2026, the percentage of ICS computers on which miners were blocked was the lowest since 2021, for both miners in the form of executable files for Windows (0.48%) and web miners running in browsers (0.14%).

The figures for both categories decreased in all regions, except for Africa where figures for miners in the form of executable files for Windows increased slightly.

On average, the oil and gas industry led the rankings among the selected industries both in terms of miners in the form of executable files for the Windows OS (0.66%) and in terms of web miners (0.34%).

Worms

In Q2 2026, the percentage of ICS computers on which worms were blocked increased to 1.43%.

In Q2 2026, the Middle East (2.11%) was second (after Africa) in the rankings of regions in terms of worms, displacing Central Asia and the South Caucasus.

Among the selected industries in the Middle East, the highest percentage of ICS computers on which worms were blocked was in building automation (2.90%). Over the quarter, the figures increased in all industries.

Australia and New Zealand ranked 12th among the regions in terms of the percentage of ICS computers on which worms were blocked (0.41%). Over the past three years, the figure in this region was only higher in Q2 2024 (0.42%). The figures increased in all the surveyed industries in the region, most notably in manufacturing and electric power. As a result, for these industries they exceeded the regional average by 2.9 and 2.3 times, respectively.

Viruses

In Q2 2026, the percentage of ICS computers on which viruses were blocked decreased to 1.29%.

The top three regions for this metric remain unchanged: Southeast Asia (6.03%), Africa (4.22%), and East Asia (3.14%). These same regions lead the rankings in terms of malware for AutoCAD.

The figures increased in three regions: East Asia, Australia and New Zealand, and Africa, where it has been growing for four consecutive quarters and reached its highest value since 2022.

Among the selected industries in Africa, the highest percentage of ICS computers on which viruses were blocked was in construction (5.47%).

East Asia ranked third among the regions in terms of viruses, reaching the highest level in the region for the past three years. Among the countries and administrative regions of East Asia, mainland China is the clear leader in terms of viruses (5.07%).

Among the selected industries in East Asia, the highest percentage of ICS computers on which viruses were blocked was in construction (5.93%).

In Australia and New Zealand, the increase in the percentage of ICS computers on which viruses were blocked was primarily due to a 4.3-fold increase in the figure for the electric power industry: from 0.29% to 1.24%. For a region where the percentage of attacked ICS computers for all threats is 0.12%, this is a very high value.

Malware for AutoCAD

In Q2 2026, the percentage of ICS computers on which malware for AutoCAD was blocked increased to 0.31%.

The most notable increase over the quarter was observed in Africa. After more than doubling in the previous quarter, the figure for the region continued to rise (although not so dramatically), reaching 1.02%.

Among the selected industries across all regions, the highest percentage of ICS computers on which malware for AutoCAD was blocked was in construction in East Asia (6.38%) and in Southeast Asia (4.05%).

Main threat sources

In Q2 2026, of all the threat sources, the percentage increased only for email.

Percentage of ICS computers on which malicious objects from various sources were blocked

Internet

The percentage of ICS computers on which threats from the internet were blocked decreased to 7.61%, reaching its lowest level since 2021.

Over the quarter, the percentage increased in three regions: East Asia by 0.8 pp (to 6.3%), South Asia by 0.3 pp (to 10.4%), and Russia by 0.3 pp (to 6.4%).

Among the selected industries across all regions, the highest percentage of ICS computers on which threats from the internet were blocked was in biometrics (13.03%) and engineering and ICS integration (12.16%) in South Asia.

Email

The percentage of ICS computers on which email threats were blocked increased to 2.84%.

In Q2 2026, the percentage of ICS computers on which email threats were blocked increased in South America by 1.0 pp (to 5.2%) and in Africa by 0.7 pp (to 4.3%).

Among the selected industries across all regions, the highest percentage of ICS computers on which email threats were blocked was in biometrics (19.14%) and building automation (12.49%) in Southern Europe.

Removable media

The percentage of ICS computers on which threats from removable media were blocked continued to decrease, reaching 0.24%, the lowest value for the period under review.

Among the selected industries across all regions, the highest percentage of ICS computers on which threats from removable media were blocked was in the electric power industry in East Asia (1.34%) and biometrics in Africa (1.29%).

Network folders

The percentage of ICS computers on which threats from network folders were blocked continued to decrease. In Q2 2026, it was the lowest for the period under review, at 0.023%.

The only region to see an increase in the percentage of ICS computers on which threats from network folders were blocked during the quarter was Africa. This was mainly due to an increase in the building automation figure to 0.05%.

Among the selected industries across all regions, the highest percentage of ICS computers on which threats from network folders were blocked was in biometrics (0.23%), building automation (0.17%), and engineering and ICS integration (0.13%) in East Asia.

For more information on industrial threats see the full version of the report.

The New York Times has a long article (alt link) on surveillance systems aimed at babies. They are increasingly using AI.

Nanit and its rivals want to own 24/7 health tracking for the sub-four-foot set. And their already astonishing levels of baby data collection are just the beginning. Nanit recently raised $50 million from investors to expand its use of A.I. and use its camera to track speech and language development, motor skills and more, while extending its presence in children’s bedrooms into early adolescence.

Apple sent a new wave of mercenary spyware threat notifications to targeted users in 110 countries, while making the warnings more visible on iPhones. The alerts signal suspected targeting, not confirmed compromise, and Apple is urging affected users to verify the warning, consider Lockdown Mode, and seek expert help.

The post Apple Warns Users in 110 Countries of Mercenary Spyware as iPhone Alerts Get Harder to Miss appeared first on TechRepublic.

Federal court records show how far the FBI’s Pegasus review progressed — and why new US spyware reporting will still leave major gaps in government hacking transparency.

The post FBI Pegasus Records Expose a Blind Spot in US Spyware Oversight appeared first on TechRepublic.

U.S. courts will begin separately tracking spyware-based interceptions, giving the public new data on government hacking while leaving key gaps.

The post US Courts To Begin Publishing Spyware Records From 2029 appeared first on TechRepublic.

Apple has expanded its threat-notification system for targets of mercenary spyware.

Apple now shows a warning directly on an iPhone’s Lock Screen and in Settings when it believes the device owner has been targeted by mercenary spyware. The new on-device alert is meant to make a high-risk warning harder to overlook and complements notifications by email and through the user’s Apple Account page.

In the explanation, Apple states:

“Apple threat notifications are high-confidence alerts that a user has been individually targeted by a mercenary spyware attack, and should be taken very seriously.”

“Apple Threat Notification
Apple detected a mercenary spyware attack targeted at your iPhone. There are actions you can take now to help protect your data and device.”

Apple says its threat notifications are intended for people individually targeted by mercenary spyware attacks, which are highly sophisticated campaigns usually associated with commercial surveillance vendors and their government customers. Apple says it has notified targets in over 150 countries since the launch of the program in 2021, while the latest round of notifications reached people in 110 countries.

Mercenary spyware campaigns are usually not aimed at the average iPhone owner—at least at first. The initial targets are often people selected for who they are, what they know, or the work they do. But it would be a mistake to view this as someone else’s problem.

Attack techniques developed for narrowly targeted operations have a habit of spreading. Exploits can be reused, sold onward, reverse engineered, copied by other surveillance vendors, or adapted by criminal groups. A vulnerability initially valuable because it compromises a small number of carefully chosen devices may become much more dangerous once public disclosure, patch analysis, or exploit sharing makes them available for more widespread campaigns.

How to stay safe

Apple advises users to:

• Update your devices to the latest software, which includes the latest security fixes.
• Protect your devices with a passcode, Touch ID, or Face ID.
• Use two-factor authentication and a strong password for your Apple Account.
• Turn on Stolen Device Protection.
• Install apps from the App Store.
• Use strong and unique passwords, and passkeys where available.
• Don’t open links or attachments from unknown senders.

We’d like to add:

• Potential targets of mercenary spyware should consider applying Apple’s Lockdown Mode.
• Check if an Apple Threat Notification is real. Scammers will undoubtedly try and mimic them. You can verify a notification by signing in to your Apple account. A genuine Threat Notification will always be clearly listed there.
• If you receive an Apple Threat Notification, Apple recommends seeking expert help, such as the Digital Security Helpline from Access Now.

Scammers know more about you than you think. 

Malwarebytes Mobile Security protects you from phishing, scam texts, malicious sites, and more. With real-time AI-powered Scam Guard built right in. 

Download for iOS → Download for Android → 

In May 2026, we discovered a new cyber-espionage campaign by the Armored Likho group, also known as Eagle Werewolf, that targets private individuals and organizations across various industries in Russia, including major corporations, the public sector, IT, and education. The attackers used a fake app as bait that mimics a service for donations. However, the most interesting part of this campaign isn’t the initial infection method – it’s the malicious implants the attackers use for cyber-espionage.

We’ve written previously about recent Armored Likho attacks, but our analysis shows that the campaign discussed below has more in common with the group’s activity from February. That said, the attackers have significantly expanded their arsenal.

During our research, we found a new cyber-espionage toolkit written in Rust: the Still Toolkit. One of its components, Still Sync, steals Telegram session data to gain ongoing access to the victim’s account. With this stolen data, attackers can leverage the Telegram API to automatically pull chat logs, media files, and other information from the account.

The second component, Still Audio, is an implant for covert audio surveillance. It analyzes the incoming audio stream, automatically detects speech, records conversations, and sends the recordings to a command-and-control server.

In this article, we’ll look at the initial infection method, how the new Still Toolkit components are built, and the technical details of how they operate.

Kaspersky products detect this threat as Trojan.Win64.Agent.* and HEUR:Backdoor.Win32.Generic.

Background

Armored Likho’s malicious activity has been documented several times before: in November 2024, and in February and July 2026. The current campaign shows significant overlap with the November and February campaigns, which used malicious droppers disguised as documents and applications related to Starlink activation or fundraising efforts as the initial infection vector. This campaign also uses fundraising as its lure. At the same time, our research uncovered a number of new tools that point to the attackers expanding their capabilities.

Initial infection

The infection chain starts with an app that mimics a donation service. As of this writing, the app distribution method remains unknown. During our research, however, we obtained several samples posing as apps from different Russian foundations.

In reality, the app is a dropper. Its developers wrote it in Rust on top of the popular Tauri framework, and it has a graphical interface designed to deceive the user. After launch, it displays a login form that asks for a password, presumably one the attackers supplied.

The login form

After the user enters a valid password, they see a catalog of donatable items. The app pulls item and category information from orderapiserver[.]info through the public/categories and public/products endpoints. A clickable catalog makes the app look legitimate. While the user browses the items, the dropper quietly decrypts and launches the payload for the next stage in the background.

Our analysis shows that the mechanism for decrypting the payload and launching subsequent stages hasn’t changed since the February campaign. However, we found a new cyber-espionage toolkit – the Still Toolkit – made up of two components: Still Sync and Still Audio.

Still Sync

Still Sync is a stealer written in Rust that steals Telegram session data. However, its capabilities don’t stop there. With this stolen data, Sync can log in to the victim’s account and pull messages and media files through the Telegram API.

Architecturally, Sync is an asynchronous application based on the Tokio library. It talks to the server over gRPC and serializes messages with FlatBuffers. It supports both HTTP and HTTPS as transport protocols; the URL of the command-and-control server determines which one it uses.

How it works

When Sync launches, the attackers set several environment variables. Before starting any malicious activity, the implant pulls configuration parameters from these:

• STILL_SYNC_ADDR: the address of the command-and-control server. By default, this is https://tg4service[.]com:443.
• STILL_SEND_PATH: the path to the tdata
• STILL_TELEGRAM_PASSCODE: the password for decrypting the tdata folder, if Telegram data encryption is enabled on the victim’s device.

Sync also supports several command-line arguments:

• --console: runs as a console application. If this parameter is absent, the implant creates a TReload service to keep running in the background.
• --version: prints version information and exits.
• --firefly: launches a trace thread that monitors the program’s operation. It writes error messages to a hidden file, bin, located in the same folder as the main executable.
• --db: turns on debug mode with detailed logging.

Example Still Sync logs

Once it launches, the malware begins registering the device with the C2 server. To do this, Sync collects the following information about the victim’s system:

• Motherboard serial number
• CPU ID
• System UUID
• BIOS serial number
• Computer domain name

The malware combines the collected data into a single string with a colon as the separator. It then hashes that string with SHA-256 and stores the resulting hash under the key sysmarker. Worth noting: other Armored Likho tools, AquilaRAT included, use this same hashing algorithm.

Sync then serializes a package containing all the collected information and the agent version, and sends it in a POST request to /still.rpc.Sync/RegisterMachine. The response contains a machine_id value, which Sync uses to identify itself in subsequent requests.

Once registration succeeds, Sync sends a POST request with the machine_id parameter to /still.rpc.Sync/GetMachineSettings. The server responds with the following settings:

• enabled: triggers malicious activity on the infected device.
• scan_portable: turns on extended scanning when searching for the tdata We’ll cover this feature in more detail below.
• fetch_telegram: if this parameter is on, Sync attempts to log in to Telegram and extract data. We’ll cover this feature in more detail below.
• download_channels: if this parameter is off, Sync skips channel dialogs when exfiltrating Telegram data.

These parameters have no default values, so Sync doesn’t perform any malicious actions until the registration and settings-retrieval processes both complete successfully.

Telegram data collection

Before stealing a Telegram session, Sync searches for the tdata folder, unless the STILL_SEND_PATH variable is already set. The list of search paths includes both standard and nonstandard directories, if the scan_portable option is turned on:

• C:\Users\<username>\AppData\Roaming\Telegram Desktop\: the standard Telegram Desktop installation directory.
• C:\Users\<username>\AppData\Local\Packages\<package_folder>\LocalCache\Roaming\: the installation directory for the Microsoft Store version. Sync identifies the package folder by a name that contains the string TelegramMessenge.
• C:\: used for the extended search (if the scan_portable option is on).

Sync then sends a POST request with a list of files from the tdata folder to the /still.rpc.Sync/CheckFiles endpoint. The server responds with the following values:

• snapshot_id: an identifier the server assigns to the current data snapshot.
• present: a list of file paths that are already present on the server.

This lets the C2 server avoid re-receiving files it already has. In addition, if Sync can’t access files on disk through standard methods, it falls back on three mechanisms that abuse the SeBackupPrivilege privilege:

• Opening files with the CreateFileW function using the FILE_FLAG_BACKUP_SEMANTICS parameter
• Creating a backup copy through the Shadow Copy service and reading files from there
• If the previous methods all fail, attempting to copy the file using the Robocopy utility in backup mode

Beyond stealing Telegram session data, Sync can carry out full-scale collection of user information from the messaging app. When the fetch_telegram option is on, it launches a separate thread that authenticates to the chat app using the previously obtained tdata. Once authentication succeeds, Sync gains access to the account data and sends the following collected information to the server:

• User details, such as username, phone number, first and last name
• Information about private chats, groups, or channels, such as chat name and ID, the member list, and so on
• Dialogs from private chats, groups, and channels (if the download_channels option is on)
• Media files under 250MB: photos, documents, stickers, and contacts

Still Audio

Still Audio is an audio surveillance implant written in Rust. Its main job is to analyze the incoming audio stream and start recording voice when certain conditions are met – we’ll cover those in the next section. Architecturally, Still Audio largely mirrors Sync and uses the same mechanisms for communicating with the C2 server.

On launch, Still Audio performs a sequence of actions:

• It extracts libmp3lame.dll, a file stored inside the executable. This is a library used to encode audio data.
• If the --console command-line argument is absent, the implant creates a service named auxhost, connects to it, and continues running in the background.
• While running in the background, it creates a file, logfile.log, to write logs to.

Next, Still Audio retrieves the C2 server address. As with Sync, it stores the URL in an environment variable – in this case, STILL_AUDIO_SYNC_ADDR. If that variable isn’t set, it falls back to STILL_SYNC_ADDR, which shows the two modules are compatible with each other. If neither variable is set, it uses the default URL, https://srwinservice[.]com.

Still Audio also uses the Dead Drop Resolver technique as a fallback mechanism for obtaining the C2 address. If the current server stays unreachable for three days, the tool tries to pull the current C2 URL from a GitHub repository. In the sample under analysis, we found the following URL for the page containing C2 information: hxxps://raw.githubusercontent[.]com/mmarln/pi-mono/refs/heads/main/packages/pods/src/array12.json

Encrypted C2 address inside the GitHub repository

The repository, a fork of a popular project, contains the server URL Base64-encoded and encrypted with the Blowfish algorithm in ECB mode, using the key 5c8e153228edd3c6cbf75684 (lowercase string). Older AquilaRAT samples use this exact same algorithm and key.

Once it obtains the current C2 address, the Audio module starts a registration process similar to Sync’s, but through a different endpoint:

/still.rpc.Audio/RegisterAudioMachine. Also, unlike Sync, Audio sends a list of available audio input devices along with the system information.

The server responds with settings for the implant:

• machine_id: a unique identifier for the current device.
• vad_threshold: the threshold value for the VAD (Voice Activity Detection) algorithm. Expressed as a decimal fraction, it represents a proportion of the maximum sound level the input device can pick up. Sound above this threshold counts as voice activity. The default vad_threshold is 02.
• max_silence_duration: the number of audio samples with a VAD value below the set threshold after which the implant considers the recording finished.
• max_buffer_size: the maximum buffer size for recorded audio data.
• active_device: the name of the input device selected for recording, from the list of available devices.

The eavesdropping process

Still Audio works with raw audio samples it captures directly from the input device. To detect voice activity, it implements an algorithm based on Root Mean Square (RMS), a lightweight signal-processing method that distinguishes speech from silence by measuring the audio signal’s average power over time. The implant doesn’t rely on any third-party libraries here; it implements all the calculations itself.

The implant compares the calculated RMS value against the vad_threshold parameter. If RMS meets or exceeds this threshold, recording starts. To avoid losing the beginning of the recording, Still Audio uses a pre-buffer, a size-limited buffer that stores samples from just before the current recording moment. A sequence of max_silence_duration samples (320 by default) with RMS values below the threshold signals the end of the recording. For example, with a standard headset running at a 44.1kHz sampling rate, recording stops after roughly 7ms of silence.

Interestingly, the Audio module makes no attempt to hide its use of the microphone: its name shows up in Windows settings. In the sample we examined, the file was saved to disk as IntAudio.exe, and it appeared in the list of apps using the microphone as “Intel Audio”:

The malicious module in the list of apps using the microphone

Before sending recordings to the server, the implant uses the libmp3lame library to encode the raw audio samples. It sends the recording files via a POST request to /tgfrg, adding a Client-Id header containing the machine_id obtained during registration to identify the device.

Infrastructure

This campaign draws on a broad set of hosting providers and domains registered at different points in time, which suggests the attackers are trying to make their infrastructure harder to detect. We found no direct overlap in domains or IP addresses with the February campaign. Even so, the two infrastructures share some similarities:

• They use the same hosting providers, with the ASNs 149440, 202448, and 215311.
• Their domain names follow similar naming patterns that mimic Windows system services and update mechanisms.

Victims

In this campaign, we’ve determined that the attackers’ primary targets are users in Russia. Most victims are private individuals, though the corporate sector, government organizations, IT companies, and educational institutions are also affected.

Attribution

This campaign has been using both new tools and malware families documented in BI.ZONE’s February report. While some components turned up for the first time, they show significant code-level overlap with malicious tools seen in earlier Armored Likho campaigns. Based on these overlaps, along with additional technical artifacts, we’re highly confident the Armored Likho group is behind the campaign. The overlaps we identified include:

• Identical dropper architecture in the February and current campaigns, which includes the use of the Tauri library to build the graphical interface, a similar user-input handler, a payload with the ICRYPTMP header, and the same multi-part encryption format.
• The same encryption algorithm and key used in AquilaRAT from the previous campaign and in the Still Audio module from the current campaign, both implementing the Dead Drop Resolver technique.
• Identical logic for generating the sysmarker value in older AquilaRAT samples and in the Still toolkit from the current campaign. The algorithms match down to the PowerShell commands used to collect system information.
• Substantial infrastructure overlap, which includes the hosting providers and domain-naming patterns described in the Infrastructure section.

Takeaways

The campaign described in this post shows Armored Likho’s toolkit evolving, with the group steadily expanding its cyber-espionage capabilities. Beyond the components we already knew about, the attackers rolled out new modules that let them not only access Telegram data but also conduct audio surveillance on victims. Together, these capabilities significantly widen the range of information attackers can collect in a single compromise.

One point deserves particular attention: the new tools form a cohesive set, sharing similar architecture, C2 communication mechanisms, and common implementation elements. This points to the group building out its own tool ecosystem, designed for long-term use and further expansion.

The emergence of new, specialized modules shows the attackers aren’t just trying to preserve their existing capabilities – they’re working to make intelligence-gathering more effective by controlling multiple communication channels at once.

Indicators of compromise

Additional information about this threat, indicators of compromise included, is available to customers of Kaspersky Threat Intelligence Reporting. Contact intelreports@kaspersky.com for more details.

File hashes
Droppers
C1D1EE16B92E6A138FFA048855F75D7D
17674B250D8B422A50A86C9FF207186D
62801F6223E860A7CCA271522E303B2D

Still Sync
68F0365D2FA8C828D012D8859E52A773
4BD7C352AE277B0E38D07BEEDD4DD507
D4BC09FB10EA2A5DC0BCBEEDA5E5AFDD

Still Audio
2CA8ADBAB98EBE305EACF272CF48F5A0
3AC41B097236A7723821848AE31EF141
439255736797BC88BD19F282449E0436

Domains
orderapiserver[.]info
tg4service[.]com
srwinservice[.]com
screenserv[.]com
windowserv[.]net
managementapiservice[.]com
service8date[.]com
updateservs[.]com