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Fake Conferences, OAuth and WhatsApp: Inside Russia’s New Espionage Tactics

Security Affairsby @securityaffairs ()6 min read3 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

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.

Key facts
  • UNC6293 is assessed with moderate confidence as an APT29/ICE RELIC sub-cluster
  • UNC7005 (STORM-2945) uses GLOBSEC conference spoofing and device code phishing
  • WhatsApp phishing pages link victim accounts to attacker devices and record calls
  • Infostealers VIDAR and AtomicStealer delivered to Windows and Mac victims
  • Hotel captive portal campaign connected to Midnight Blizzard infrastructure
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From the original article

6 min read at securityaffairs.com

Google tracks three Russia-linked espionage clusters using phishing and legitimate authentication tools to target researchers, diplomats and defense staff. 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.

Security Affairs

By @securityaffairs · securityaffairs.com

Read the full article at Security Affairs

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.