sgl-project SGLang HuggingFace Transformer hf_transformers_utils.py get_tokenizer code injection
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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| Sgl-project | Sglang |
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| Source | ID | Title |
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Github GHSA |
GHSA-6m5f-673f-5vh7 | SGLang has an Improper Input Validation/Injection Issue |
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.368% probability within 30 days)
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ssvc
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Sgl-project
Sgl-project sglang |
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Sgl-project
Sgl-project sglang |
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| Weaknesses | CWE-20 CWE-502 |
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| Description | 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 results in deserialization. The attack can be executed remotely. A high complexity level is associated with this attack. The exploitability is considered difficult. The vendor was contacted early about this disclosure but did not respond in any way. | 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. |
| Title | sgl-project SGLang HuggingFace Transformer hf_transformers_utils.py get_tokenizer deserialization | sgl-project SGLang HuggingFace Transformer hf_transformers_utils.py get_tokenizer code injection |
| Weaknesses | CWE-74 CWE-94 |
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cvssV2_0
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cvssV2_0
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| Type | Values Removed | Values Added |
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| Description | 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 results in deserialization. The attack can be executed remotely. A high complexity level is associated with this attack. The exploitability is considered difficult. The vendor was contacted early about this disclosure but did not respond in any way. | |
| Title | sgl-project SGLang HuggingFace Transformer hf_transformers_utils.py get_tokenizer deserialization | |
| Weaknesses | CWE-20 CWE-502 |
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| References |
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| Metrics |
cvssV2_0
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