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Suspected Russian Hackers Abuse Google OAuth and WhatsApp Linking to Hijack Accounts
Google tracked three suspected Russian espionage clusters abusing OAuth flows, app passwords, and WhatsApp linking to hijack accounts of diplomats and defense targets.
Google Threat Intelligence Group detailed three suspected Russian espionage clusters, UNC6293, UNC7005 (Storm-2945), and UNC5976, targeting academia, aerospace, defense, governments, and think tanks in Europe, the US, Ukraine, and Armenia. UNC6293, assessed as a sub-cluster of APT29/Ice Relic, conducted OAuth and application-specific password phishing while impersonating State Department officials. UNC5976 registered file-sharing-themed domains hosting fake OAuth login pages and deployed a malicious Excel plugin codenamed HEADRUSH, while UNC7005 abused WhatsApp device linking to hijack accounts and record victims' audio and video.
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Fake Conferences, OAuth and WhatsApp: Inside Russia’s New Espionage Tactics
Google tracks three Russia-linked espionage clusters abusing OAuth, app passwords, and device code phishing against Western researchers and diplomats.
Google's Threat Intelligence Group documented three suspected Russia-linked clusters, UNC6293, UNC7005, and UNC5976, abusing legitimate authentication flows. UNC6293, a likely APT29/ICE RELIC sub-cluster, impersonates US State Department officials in app password and OAuth phishing targeting fewer than five victims at a time. UNC7005, tracked by Microsoft as STORM-2945, spoofs the GLOBSEC conference, runs device code phishing against Microsoft and WhatsApp accounts, and deploys VIDAR and AtomicStealer infostealers. Targets include researchers, academics, diplomats, think-tank analysts, and defense personnel in Europe and the United States.
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Google researchers uncover criminal zero-day exploit likely built with AI
Google links a likely LLM-built criminal zero-day for an open-source admin tool to planned mass exploitation and maps AI-assisted threats.
Google Threat Intelligence Group linked a zero-day exploit for a popular open-source web-based administration tool, enabling 2FA bypass with valid credentials via a semantic logic error, to a criminal group, citing educational docstrings, a hallucinated CVSS score, and textbook Python as signs of LLM authorship; the vendor was notified before a planned mass exploitation campaign. The report also details Russia-nexus malware families CANFAIL and LONGSTREAM using AI-generated decoy code, the PROMPTSPY Android backdoor driving the UI through the Gemini API, APT27 using Gemini to build relay tooling, and the TeamPCP (UNC6780) supply chain compromise of LiteLLM and Trivy repositories that planted the SANDCLOCK credential stealer.
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