VDB
Sign up
CRITICAL9.8

PYSEC-2026-4164

sentence-transformers local model loading bypasses trust_remote_code and executes custom Python

Quick fix

PYSEC-2026-4164 — sentence-transformers: upgrade to the fixed version with the command below.

pip install --upgrade 'sentence-transformers>=5.6.0'

Details

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.

Are you affected?

Enter the version of the package you're using.

Affected packages

PyPI/sentence-transformers
Introduced in: 0Fixed in: 5.6.0
Fixpip install --upgrade 'sentence-transformers>=5.6.0'

References