Hugging Face’s Open-Source Technology Hijacked for Malware Spread

www.news4hackers.com-hugging-face-s-open-source-technology-hijacked-for-malware-spread-hugging-face-s-open-source-technology-hijacked-for-malware-spread

Ambushed Trust: Threat Actors Exploit Popular AI Distribution Platforms

Recent research by Acronis reveals a concerning trend where threat actors exploit trust in prominent AI distribution platforms, such as Hugging Face and ClawHub, to spread malware.

Trojanization Technique Used by Attackers

The technique employed by attackers, called trojanization, involves hiding malicious commands within shared files or code that are executed by AI systems without the user’s knowledge.

Malicious Skills Discovered on ClawHub

  • Nearly 600 malicious skills were found across 13 developer accounts.
  • The majority of these skills were located on two accounts: hightower6eu (334 skills) and sakaen736jih (199 skills).
  • These malicious skills targeted Windows and macOS systems, distributing trojans, cryptominers, and information stealers.

OpenClaw Ecosystem Vulnerabilities

According to Acronis, the OpenClaw ecosystem, which allows users to build community-driven extensions for their AI agents, has vulnerabilities that enable attackers to inject indirect prompts into resources read by the AI. These prompts can instruct the AI to execute external code with high privileges.

Hugging Face Distribution Campaigns

Across two distribution campaigns abusing Hugging Face, attackers created repositories hosting malicious files designed to stage multi-step infection chains leading to infostealers, trojans, malware loaders, and other types of malware targeting Windows, Linux, and Android.

Rising Concerns

As Hugging Face’s popularity grows, the risk of similar attacks increases. Accronis highlights the difficulty in accurately measuring the full extent of this activity due to the platform’s scale and dynamic nature of hosted content.

Shift Towards Poisoning Trusted Channels

This trend indicates a shift towards poisoning trusted distribution channels, such as AI-related platform ecosystems, to deliver payloads while leveraging user trust in legitimate-looking AI tooling.



About Author

en_USEnglish