CyberRota Analysis
AI-GeneratedThe Diffusers library, prior to version 0.38.0, contains a vulnerability in its DiffusionPipeline.from_pretrained function that allows for the execution of untrusted custom pipeline code due to improper validation of cached files. This can lead to potential code execution attacks, compromising the integrity of applications utilizing the library. Organizations using affected versions should prioritize upgrading to version 0.38.0 to mitigate this high-severity risk.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
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Original NVD Description
Diffusers is the a library for pretrained diffusion models. Prior to 0.38.0, Diffusers' DiffusionPipeline.from_pretrained flow can bypass the trust_remote_code guard because download() validates model_index.json and custom pipeline code before later loading from a cached folder that can change, allowing a Hub repository with custom .py pipeline code to execute through the custom pipeline flow without passing custom_pipeline or trust_remote_code=True. This issue is fixed in version 0.38.0.
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