Medium severity · published May 30, 2025
CVE-2025-48942
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 versions 0.8.0 up to but excluding 0.9.0, hitting the /v1/completions API with a invalid json_schema as a Guided Param kills the vllm server. This vulnerability is similar GHSA-9hcf-v7m4-6m2j/CVE-2025-48943, but for regex instead of a JSON schema. 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 47% 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-2025-48942
CVE.org
https://www.cve.org/CVERecord?id=CVE-2025-48942
Patch
https://github.com/vllm-project/vllm/commit/08bf7840780980c7568c573c70a6a8db94fd45ff
Issue Tracking
https://github.com/vllm-project/vllm/issues/17248
Issue Tracking
https://github.com/vllm-project/vllm/pull/17623
Exploit
https://github.com/vllm-project/vllm/security/advisories/GHSA-6qc9-v4r8-22xg
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