Medium severity · published May 30, 2025
CVE-2025-48943
vLLM allows clients to crash the openai server with invalid regex
6.5
CVSS
0.5%
EPSS
No
On KEV
Description
vLLM is an inference and serving engine for large language models (LLMs). Version 0.8.0 up to but excluding 0.9.0 have a Denial of Service (ReDoS) that causes the vLLM server to crash if an invalid regex was provided while using structured output. This vulnerability is similar to GHSA-6qc9-v4r8-22xg/CVE-2025-48942, 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)0.5% · higher than 43% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
VL
vllm · vllm-project
>= 0.8.0, < 0.9.0 · source: vendor, NVD
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2025-48943
CVE.org
https://www.cve.org/CVERecord?id=CVE-2025-48943
Patch
https://github.com/vllm-project/vllm/commit/08bf7840780980c7568c573c70a6a8db94fd45ff
Issue Tracking
https://github.com/vllm-project/vllm/issues/17313
Issue Tracking
https://github.com/vllm-project/vllm/pull/17623
Vendor Advisory
https://github.com/vllm-project/vllm/security/advisories/GHSA-9hcf-v7m4-6m2j
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