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Bisonal Malware Used in Attacks Against Russia and South Korea
Unit 42 details a Bisonal malware variant, active since 2014, targeting Russian and South Korean defense organizations via PDF-disguised spearphishing emails.
In early May, Unit 42 discovered a campaign delivering a Bisonal malware variant against at least one Russian communications security and cryptography company and one unidentified organization in South Korea. The variant, in the wild since at least 2014, introduces a new C2 cipher and rewritten networking and persistence code, with only 14 samples collected to date. Attackers spoofed Russian state corporation Rostec in spearphishing emails carrying an executable disguised with a PDF icon; the dropper decrypts an RC4-encrypted DLL and establishes persistence via a registry Run key. Bisonal has been used since 2013 against government, military, and defense targets in South Korea, Russia, Japan, and India, alongside successors Bioazih and Dexbia.
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Microsoft's July Update Patches 143 Flaws, Including Two Actively Exploited
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CISA Alerts on Active Exploitation of Flaws in Fortinet, Ivanti, and Nice Products
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DeepSeek, Alibaba and Chinese AI Firms Extract Billions of Tokens From U.S. AI Models
NSA, CISA and FBI advisory AA26-251A accuses DeepSeek, Alibaba and four other Chinese AI firms of industrial-scale distillation of US frontier models.
Joint advisory AA26-251A from NSA, CISA and FBI accuses DeepSeek, Alibaba, Moonshot AI, MiniMax, StepFun and Z.AI of extracting billions of tokens from Claude, GPT, Gemini and Grok variants since at least late 2024, likely with Chinese government awareness. Campaigns allegedly used API proxy 'transfer stations', account pools, metadata sanitization and prompt injection to harvest reasoning, coding, agentic and reinforcement-learning capabilities, with techniques mapped to MITRE ATLAS. DeepSeek's R1 and V3 and Alibaba's Qwen families reportedly trained on harvested outputs, and DeepSeek's $5.6 million training-cost claim is disputed as excluding distilled data value. Agencies urge anomaly monitoring, output alteration for suspected extractors, and intelligence sharing across vendors, clouds and aggregators.
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Hackers Use Fake LinkedIn Job Offers to Infect Developers With New Cross-Platform RATs
Iran-linked Mirage Kitten uses fake LinkedIn job challenges to deliver new cross-platform RATs NodeRabbit and PollCat to developers in fintech, aviation, and aerospace.
PolySwarm documented a campaign by Iran-linked Mirage Kitten (UNC1549) that uses fake recruiter personas and technical hiring challenges on LinkedIn to deliver the newly documented RATs NodeRabbit and PollCat, which run on Windows, Linux, and macOS. A challenge archive bundles a fake npm package (colorized_terminal 2.1.0) in node_modules that loads NodeRabbit, while a React-based challenge delivers PollCat with an attacker-controlled OTP screen. NodeRabbit persists through a malicious Visual Studio Code extension and Git post-merge/post-checkout hooks; PollCat persists via scheduled tasks, cron, and LaunchAgents. Victims were observed in fintech, aviation, and aerospace, with confirmed targets in Egypt, Ethiopia, and Afghanistan.
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