Medium severity · published May 30, 2025
CVE-2025-48944
vLLM is an inference and serving engine for large language models (LLMs)
6.5
CVSS
0.6%
EPSS
No
On KEV
Description
vLLM is an inference and serving engine for large language models (LLMs). In version 0.8.0 up to but excluding 0.9.0, the vLLM backend used with the /v1/chat/completions OpenAPI endpoint fails to validate unexpected or malformed input in the "pattern" and "type" fields when the tools functionality is invoked. These inputs are not validated before being compiled or parsed, causing a crash of the inference worker with a single request. The worker will remain down until it is restarted. Version 0.9.0 fixes the issue.
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)0.6% · higher than 51% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
VL
Vllm · Vllm
0.8.0 before 0.9.0 · source: NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2025-48944
CVE.org
https://www.cve.org/CVERecord?id=CVE-2025-48944
Issue Tracking
https://github.com/vllm-project/vllm/pull/17623
Exploit
https://github.com/vllm-project/vllm/security/advisories/GHSA-vrq3-r879-7m65
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