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CVE-2026-7669— sgl-project SGLang HuggingFace Transformer hf_transformers_utils.py get_tokenizer code injection

Quick assessment

Affected
sgl-project SGLang
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

sglang是sgl-project开源的一个用于加速大模型推理的编程语言与运行时系统。 SGLang 0.5.9及之前版本存在注入漏洞，该漏洞源于python/sglang/srt/utils/hf_transformers_utils.py文件中get_tokenizer函数对参数trust_remote_code的操作，可能导致代码注入。

CVSS 5.6 · Medium EPSS 0.42% · P35

Affected Version Matrix 10

VendorProduct Version RangeStatus
sgl-project SGLang 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
… +2 more rows
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I. Basic Information for CVE-2026-7669

Vulnerability Information
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Vulnerability Title
sgl-project SGLang HuggingFace Transformer hf_transformers_utils.py get_tokenizer code injection
Source: CVE Program / CVE List V5
Vulnerability 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 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.
Source: CVE Program / CVE List V5
CVSS Information
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L
Source: CVE Program / CVE List V5
Vulnerability Type
对生成代码的控制不恰当(代码注入)
Source: CVE Program / CVE List V5
Vulnerability Title
sglang 注入漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
sglang是sgl-project开源的一个用于加速大模型推理的编程语言与运行时系统。 SGLang 0.5.9及之前版本存在注入漏洞，该漏洞源于python/sglang/srt/utils/hf_transformers_utils.py文件中get_tokenizer函数对参数trust_remote_code的操作，可能导致代码注入。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)

Affected Products

Vendor Product Affected Versions CPE Subscribe
sgl-project SGLang 0.5.0 -

II. Public POCs for CVE-2026-7669

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III. Intelligence Information for CVE-2026-7669

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Exploits & Public PoCs for CVE-2026-7669 (1)

IV. Related Vulnerabilities

Same product: SGLang
Same vendor: sgl-project
Same weakness: CWE-94

V. Comments for CVE-2026-7669

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