Medium severity · published Nov 21, 2025
CVE-2025-62426
vLLM is an inference and serving engine for large language models (LLMs)
6.5
CVSS
0.5%
EPSS
No
On KEV
Description
vLLM is an inference and serving engine for large language models (LLMs). From version 0.5.5 to before 0.11.1, the /v1/chat/completions and /tokenize endpoints allow a chat_template_kwargs request parameter that is used in the code before it is properly validated against the chat template. With the right chat_template_kwargs parameters, it is possible to block processing of the API server for long periods of time, delaying all other requests. This issue has been patched in version 0.11.1.
CVSS vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Attack vector
Network
Complexity
Low
Privileges
Low
User interaction
None
Confidentiality
None
Integrity
None
Availability
High
Scope
Unchanged
Exploitation
Is it being used?
Exploit prediction (EPSS)0.5% · higher than 45% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
VL
Vllm · Vllm
0.5.5 before 0.11.1; 0.11.1; 0.11.1 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2025-62426
CVE.org
https://www.cve.org/CVERecord?id=CVE-2025-62426
Product
https://github.com/vllm-project/vllm/blob/2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb/vllm/entrypoints/chat_utils.py#L1602-L1610
Product
https://github.com/vllm-project/vllm/blob/2a6dc67eb520ddb9c4138d8b35ed6fe6226997fb/vllm/entrypoints/openai/serving_engine.py#L809-L814
Patch
https://github.com/vllm-project/vllm/commit/3ada34f9cb4d1af763fdfa3b481862a93eb6bd2b
Issue Tracking
https://github.com/vllm-project/vllm/pull/27205
Vendor Advisory
https://github.com/vllm-project/vllm/security/advisories/GHSA-69j4-grxj-j64p
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