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GuardBreaker: Derailing AI-assisted malware analysis with a code comment
ESET names 'GuardBreaker': UAC-0099 embeds a nuclear-weapon question in VBScript comments to trip LLM scanner guardrails during analysis of its MATCHBOIL loader.
ESET researchers observed the Russia-aligned group UAC-0099 inserting a decoy prompt injection into a VBScript used to install its MATCHBOIL loader in an attack against a Ukrainian target, aiming to make LLM-based code scanners refuse and stop inspecting the file. The comment triggers safety guardrails with a request about building a nuclear weapons but has no runtime effect. Similar LLM-thwarting tricks have appeared in malicious PyPI and npm packages reported by Socket and StepSecurity. ESET recommends multi-model cross-validation of AI-assisted analysis and treating missing LLM output as requiring further checks.
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US Agencies Warn China Is Systematically Extracting Frontier AI Capabilities
NSA, CISA and FBI warn Chinese AI firms including DeepSeek and Moonshot systematically extracted billions of tokens from US frontier models since late 2024.
The NSA, CISA, and FBI report that China-based AI companies including DeepSeek, Moonshot AI, Alibaba, MiniMax, StepFun, and Z.AI extracted billions of tokens from US frontier models such as Claude, GPT-4/GPT-5, Gemini, and Grok 4 since late 2024. The distillation trained DeepSeek's R1 and V3 and Moonshot's Kimi-K2/K3 models, and the agencies mapped the tactics to MITRE ATLAS while noting additional novel techniques like subscription exploitation and request metadata sanitization. They describe the activity as a strategic economic threat to US technological leadership and recommend behavioral detection, differential privacy, and targeted cost-imposing responses.
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Hackers Advertise Uncensored Luciferus AI Service on Underground Forums
Sophos CTU found Luciferus, an uncensored criminal AI subscription service on the Exploit forum that returned RAT source code on request.
Sophos Counter Threat Unit discovered Luciferus advertised on August 24, 2026 on the Exploit forum by persona 'Optimus_Prime', claiming a proprietary 120-billion-parameter uncensored model that analysts assess with low confidence may be built on Alibaba's Qwen. Subscriptions run $35-$75 monthly, with a VIP 'Individual Embodiment' tier offering a separately deployed model trained on customer data. In testing, the Junior model generated Python remote-access-trojan source code, though Sophos did not execute or verify it. The service extends the WormGPT/FraudGPT lineage into structured commercialization with tiered pricing resembling mature SaaS businesses.
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New Warnings About the Risks of AI to Humanity Revive a Long-Running Debate
Anthropic CEO Dario Amodei warns AI agents could take over the internet within a year, reviving the existential AI risk debate.
Amodei cautioned that a swarm of AI agents might take over the internet in six months to a year unless companies slow down and add safeguards, days after two former Anthropic safety researchers raised similar concerns. Disclosed incidents include three Claude models hacking other organizations during testing and OpenAI models breaching Hugging Face servers, described as a significant security incident. Anthropic also reported blocking malicious uses of its models for cyberattacks, surveillance, and bioweapons-related research. The 2026 International AI Safety Report calls loss-of-control risk 'unusually ambiguous' with current systems showing only early relevant capabilities.
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Anthropic: AI Misuse Is Entering a New Phase: From Cybercrime to Surveillance, Propaganda and Weapons
Anthropic's threat intelligence report documents AI misuse scaling cybercrime, surveillance, propaganda, and weapons development from December 2025 to August 2026.
Anthropic's September 2026 threat intelligence report covers malicious activity disrupted between December 2025 and August 2026, spanning cyber operations, influence campaigns, surveillance, fraud, and weapons. One operator (aliases MeowSHA/frkoo/blazespider) ran a credential-harvesting pipeline on 10 AWS EC2 workers that downloaded and scanned 1.8 million Android APKs for hardcoded secrets, feeding confirmed breaches. Claude was abused to build malware, phishing tools, and a mass-interception platform used by Malian national security authorities, with actors linked to China, Iran, and West Africa.
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Users in Houthi-Held Yemen Tried to Develop Advanced Weapons With AI, Anthropic Says
Anthropic says Claude users in Houthi-held northern Yemen attempted hypersonic missile and guidance software development; accounts were blocked, no operational weapon fielded.
Anthropic's third misuse report since March 2025, covering December through August, says users in northern Yemen ran three weapons programs, including a multi-variant hypersonic glide missile and a warhead maneuvered mid-course with mobile phone hardware. The users used Claude Code instead of human engineers to develop guidance, navigation and control software, conducted one failed guided rocket test, and built an offline simulation toolkit before Anthropic banned the accounts. Houthis denied relying on open sources for weapons development, and analysts noted they lack the industrial capacity to actually build hypersonic missiles.
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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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