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ChatGPT Sharing Links Abused for Malware Delivery

ChatGPT Sharing Links Abused for Malware Delivery

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 BleepingComputer

Threat actors are exploiting ChatGPT's legitimate content-sharing infrastructure to host convincing fake outage pages that trick users into downloading malware disguised as a ChatGPT desktop application. The 'LLMShare' campaign abuses chatgpt.com/s/ shared links to render attacker-crafted HTML within a trusted OpenAI domain, bypassing traditional phishing detection that relies on suspicious URL analysis. The attack chain combines Google ad abuse, domain cloaking, and AI platform misuse to deliver what are likely infostealer payloads.

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.

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