{"dataType": "CVE_RECORD", "dataVersion": "5.2", "cveMetadata": {"cveId": "CVE-2026-7669", "assignerOrgId": "1af790b2-7ee1-4545-860a-a788eba489b5", "state": "PUBLISHED", "assignerShortName": "VulDB", "dateReserved": "2026-05-02T08:00:13.701Z", "datePublished": "2026-05-02T22:00:19.859Z", "dateUpdated": "2026-05-05T00:31:40.051Z"}, "containers": {"cna": {"providerMetadata": {"orgId": "1af790b2-7ee1-4545-860a-a788eba489b5", "shortName": "VulDB", "dateUpdated": "2026-05-04T04:21:53.695Z"}, "title": "sgl-project SGLang HuggingFace Transformer hf_transformers_utils.py get_tokenizer code injection", "problemTypes": [{"descriptions": [{"type": "CWE", "cweId": "CWE-94", "lang": "en", "description": "Code Injection"}]}, {"descriptions": [{"type": "CWE", "cweId": "CWE-74", "lang": "en", "description": "Injection"}]}], "affected": [{"vendor": "sgl-project", "product": "SGLang", "versions": [{"version": "0.5.0", "status": "affected"}, {"version": "0.5.1", "status": "affected"}, {"version": "0.5.2", "status": "affected"}, {"version": "0.5.3", "status": "affected"}, {"version": "0.5.4", "status": "affected"}, {"version": "0.5.5", "status": "affected"}, {"version": "0.5.6", "status": "affected"}, {"version": "0.5.7", "status": "affected"}, {"version": "0.5.8", "status": "affected"}, {"version": "0.5.9", "status": "affected"}], "modules": ["HuggingFace Transformer Handler"]}], "descriptions": [{"lang": "en", "value": "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. 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