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1 vulnerability by sgl-project
CVE-2026-7669 (GCVE-0-2026-7669)
Vulnerability from cvelistv5 – Published: 2026-05-02 22:00 – Updated: 2026-05-05 00:31
VLAI?
Title
sgl-project SGLang HuggingFace Transformer hf_transformers_utils.py get_tokenizer code injection
Summary
A vulnerability was detected in sgl-project SGLang up to 0.5.9. Impacted is the function get_tokenizer of the file python/sglang/srt/utils/hf_transformers_utils.py of the component HuggingFace Transformer Handler. The manipulation of the argument trust_remote_code with the input False as part of Boolean results in code injection. The attack can be executed remotely. A high complexity level is associated with this attack. The exploitability is considered difficult. In get_tokenizer(), when the caller passes trust_remote_code=False and HuggingFace transformers v5 returns a TokenizersBackend instance (the generic fallback for tokenizer classes not in the registry), SGLang silently re-invokes AutoTokenizer.from_pretrained with trust_remote_code=True, overriding the caller's explicit security setting. A model repository containing a malicious tokenizer.py referenced via auto_map in tokenizer_config.json will execute arbitrary Python in the SGLang process during this second call. No log line or warning is emitted. The override affects all current SGLang versions because transformers==5.3.0 is pinned in pyproject.toml. Both tokenizer_mode="auto" and tokenizer_mode="slow" are affected. The exploit is now public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
Severity ?
Assigner
References
| URL | Tags | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Impacted products
| Vendor | Product | Version | ||
|---|---|---|---|---|
| sgl-project | SGLang |
Affected:
0.5.0
Affected: 0.5.1 Affected: 0.5.2 Affected: 0.5.3 Affected: 0.5.4 Affected: 0.5.5 Affected: 0.5.6 Affected: 0.5.7 Affected: 0.5.8 Affected: 0.5.9 |
Credits
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