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HIGH AI-Powered Vishing Lets Fraudsters Bypass Help Desks // HIGH AI Agents Hijacked via Prompt Injection and Malicious Skills // HIGH Aokigahara Infostealer Targets Claude, Copilot, and Cursor Credentials // CRITICAL LiteLLM 1.107.0 Supply Chain Attack Steals AI Credentials // FIRST LOOK OpenAI Trains Frontier Models in Air-Gapped Offline Environments // HIGH Samsung TV Found Sending Audio to OpenAI Without Consent // CRITICAL LiteLLM PyPI Supply Chain Attack Drops Info-Stealer Malware // FIRST LOOK Walmart Opens Platform to AI Shopping Agents With Spend Controls // CRITICAL AI Agent ARTEX Weaponised in ConnectWise Supply Chain Breach // FIRST LOOK 1Password Launches Agent Login Tool That Shields Credentials //
HUGGING-FACE

Hugging-Face

18 reports
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Typosquatted OpenAI Repo Delivers Rust Infostealer to 244K Users

Typosquatted OpenAI Repo Delivers Rust Infostealer to 244K Users

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 8.5 The Hacker News

A malicious Hugging Face repository impersonated OpenAI's legitimate Privacy Filter model, cloning its description verbatim to gain credibility and reach the platform's trending list with 244,000 downloads. The repository delivered a multi-stage attack chain culminating in a Rust-based information stealer targeting browser credentials, cryptocurrency wallets, and Discord data on Windows machines. The attack leveraged a dead-drop resolver pattern via a public JSON paste service, allowing operators to swap payloads without modifying the repository itself.

Hugging Face Supply Chain: Fake OpenAI Infostealer Hits 244K

Hugging Face Supply Chain: Fake OpenAI Infostealer Hits 244K

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 BleepingComputer

A malicious Hugging Face repository impersonating OpenAI's 'Privacy Filter' project reached #1 on the platform's trending list and accumulated 244,000 downloads before removal, delivering a multi-stage infostealer to Windows users. The attack chain used a disguised Python loader to execute PowerShell commands, ultimately deploying a Rust-based payload capable of harvesting browser credentials, crypto wallets, SSH/VPN configs, and screenshots. The campaign highlights the growing risk of AI/ML supply chain attacks through trusted model-sharing platforms.

Supply Chain Risk: Gradio MCP Server Exposes AI Agents

Supply Chain Risk: Gradio MCP Server Exposes AI Agents

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 Hugging Face Blog

Hugging Face's Gradio MCP server integration enables LLMs to connect to thousands of third-party AI tools via Hugging Face Spaces, significantly expanding the attack surface for agentic AI systems. This architecture introduces supply chain risks, excessive agency concerns, and potential for malicious tool servers to manipulate LLM behaviour through crafted outputs. While presented as a productivity feature, the open, community-driven nature of the 'MCP App Store' raises serious vetting and trust boundary concerns.

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