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mouse5212-super-formatter npm Malware Steals Claude Files

mouse5212-super-formatter npm Malware Steals Claude Files

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 The Hacker News

A malicious npm package named 'mouse5212-super-formatter' was discovered exfiltrating files from Anthropic's Claude AI user directory by authenticating to a threat actor-controlled GitHub repository. The package disguised itself as a legitimate archive utility while silently uploading all local workspace files during the postinstall phase. Notably, the attacker's poor operational security — including a leaked GitHub token — suggests AI-generated malware with minimal human oversight, pointing to a growing trend of low-skill threat actors leveraging AI to produce supply chain malware.

CVE-2026-45321: Supply Chain Worm Targets Mistral AI

CVE-2026-45321: Supply Chain Worm Targets Mistral AI

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 The Hacker News

The TeamPCP threat actor has executed a broad supply chain campaign dubbed Mini Shai-Hulud, injecting credential-stealing malware into npm and PyPI packages from major AI and developer tooling ecosystems including Mistral AI, Guardrails AI, and TanStack. The malware profiles execution environments, exfiltrates cloud, CI, and AI tool credentials, and establishes persistence inside Claude Code and VS Code IDEs. The TanStack compromise alone affected 42 packages and 84 versions, exploiting a chained GitHub Actions attack to inject malicious payloads without stealing npm tokens directly.

Famous Chollima Poisons npm With LLM-Assisted Malware

Famous Chollima Poisons npm With LLM-Assisted Malware

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

North Korean threat group Famous Chollima (Shifty Corsair) has weaponised AI-assisted code generation to embed malicious npm packages into autonomous AI agent projects, targeting cryptocurrency wallets. The campaign, dubbed PromptMink, exploited Anthropic's Claude Opus to co-author a malicious dependency commit, demonstrating a novel abuse of LLM coding agents for supply chain infiltration. The attack uses a multi-layer dependency structure to evade detection, with second-layer malicious packages swiftly rotated when identified.

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