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CVE-2026-68770NVD
Vulnerability Summary
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.
CVSS v4.0 Base Metrics — Score 9.3
Attack VectorNetwork
Attack ComplexityLow
Attack RequirementsNone
Privileges RequiredNone
User InteractionNone
Confidentiality (Vulnerable System)High
Integrity (Vulnerable System)High
Availability (Vulnerable System)High
Confidentiality (Subsequent System)None
Integrity (Subsequent System)None
Availability (Subsequent System)None
CVSS v3.1 Base Metrics — Score 9.8
Attack VectorNetwork
Attack ComplexityLow
Privileges RequiredNone
User InteractionNone
ScopeUnchanged
ConfidentialityHigh
IntegrityHigh
AvailabilityHigh
Affected & Patched Versions
- sentence-transformers < 5.6.0
Not provided by Private for this CVE.
External References
- https://nvd.nist.gov/vuln/detail/CVE-2026-68770
- https://github.com/huggingface/sentence-transformers/issues/3801
- https://github.com/huggingface/sentence-transformers/pull/3807
- https://github.com/huggingface/sentence-transformers/commit/ae1acc3fb2aa2004577b297eb4a915ce7a03316a
- https://github.com/huggingface/sentence-transformers
- https://www.vulncheck.com/advisories/sentence-transformers-arbitrary-code-execution-on-local-model-load-despite-trust-remote-code-false
- https://github.com/huggingface/sentence-transformers/pull/3935
- https://github.com/huggingface/sentence-transformers/commit/626eb602b088878a8173bcab69225f68411b99e1
- https://github.com/huggingface/sentence-transformers/releases/tag/v5.6.0
- https://github.com/huggingface/sentence-transformers/releases/tag/v6.0.0
- https://github.com/advisories/GHSA-jhr6-gm9c-rqjv