2024-11-28
A vulnerability (CVE-2024-11393) exists in Hugging Face Transformers’ MaskFormer model that allows remote attackers to execute arbitrary code on affected systems. This vulnerability arises from the lack of proper validation during model file parsing, enabling attackers to inject untrusted data and potentially gain code execution within the user’s context. User interaction is necessary for exploitation, typically through visiting a malicious webpage or opening a malicious file.
Vulnerability Details
Platform: Hugging Face Transformers (MaskFormer model)
Version: Not specified
Vulnerability: Deserialization of Untrusted Data (Remote Code Execution)
Severity: Important
Date: November 22, 2024 (published)
What Undercode Says:
This vulnerability in Hugging Face Transformers can be severe if exploited. If you use the MaskFormer model, it’s crucial to update to a patched version as soon as possible to mitigate this risk. Here are some additional recommendations:
Implement strong user input validation techniques to prevent deserialization of untrusted data.
Be cautious when opening files or visiting websites from untrusted sources.
Stay informed about security updates for Hugging Face Transformers and other libraries you use.
Disclaimer: This information is for educational purposes only. It is recommended to consult with security professionals for further guidance.
References:
Reported By: Nvd.nist.gov
Undercode AI: https://ai.undercodetesting.com
Image Source:
OpenAI: https://openai.com
Undercode AI DI v2: https://ai.undercode.help
Linux Kernel, Lock Handling, CVE-2024-53086 (Moderate)