CyberRota Analysis
AI-GeneratedThe vulnerability in sentence-transformers allows attackers to bypass security controls and execute arbitrary code by exploiting a logic flaw in the import_module_class helper. Specifically, the flawed guard condition permits execution of malicious Python files from a model directory if the path exists, even when the trust_remote_code argument is set to False. Organizations using sentence-transformers, especially those handling untrusted model directories, should prioritize remediation to mitigate the risk of code execution attacks.
Public Exploit Signal
A public exploit, PoC, GitHub repository or Metasploit reference was detected for this CVE.
Note: these links are listed for security research and verification purposes only.
Original NVD Description
sentence-transformers contains a security control bypass vulnerability that allows attackers to achieve arbitrary code execution by exploiting a logic flaw in the import_module_class helper within sentence_transformers/util/misc.py, where the guard condition includes an 'or os.path.exists(model_name_or_path)' clause that satisfies the trust gate whenever the supplied path exists on the local filesystem, regardless of the trust_remote_code=False argument. Attackers who can control or influence the contents of a model directory on disk can place malicious Python files such as modeling_*.py referenced via modules.json, causing the code to execute at import time when an application loads the model with SentenceTransformer(path, trust_remote_code=False), bypassing the documented security contract and achieving code execution within the loading process.