TI-2025-31081 Aliases CVE-2025-48943 GHSA-9hcf-v7m4-6m2j

vLLM allows clients to crash the openai server with invalid regex

LOW 29CWE-248Published 2025-05-30 · Updated 2025-05-30

Key facts

Attack vector: Network
Privileges required: Low
User interaction: None
Attack complexity: Low
Impact type: Denial of service
Confidentiality · integrity · availability: None · None · High
Fix status: Partial Red Hat: 4 without a fix

Attack profile from CVSS 3.1 · CNA. Fix status from CNA, GitHub and Red Hat. Impact type from CWE-248.

Summary

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.

Why it matters now

Exploitation None reported CISA SSVC · not in CISA KEV

EPSS 0.00508 43rd percentileScored 2026-11-07

Fix Partial vllm (vllm-project): 0.9.0vllm (PyPI): 0.9.0Red Hat: 4 without a fix

SSVC decision points

CISA ADP · SSVC 2.0.3

Exploitation: None
Automatable: No
Technical impact: Partial

The decision (Track, Attend, Act) also depends on your mission and well-being impact; see CISA's SSVC guide.

Affected products

Vendor	Product	Affected versions	Fixed in	Status	Source
vllm-project	vllm	0.8.0 to before 0.9.0	0.9.0	Patch available	CNA
—	vllm (PyPI)	0.8.0 to before 0.9.0	0.9.0	Patch available	GHSA-9hcf-v7m4-6m2j

vllm Vendorvllm-project Affected 0.8.0 to before 0.9.0 Fixed in 0.9.0 Patch available CNA
vllm (PyPI) Vendor— Affected 0.8.0 to before 0.9.0 Fixed in 0.9.0 Patch available GHSA-9hcf-v7m4-6m2j

CPE configurations NVD · 1

CPE	Versions	Role	Vendor
cpe:2.3:a:vllm:vllm::::::::	0.8.0 to before 0.9.0	Vulnerable	vLLM

cpe:2.3:a:vllm:vllm:*:*:*:*:*:*:*:* Versions 0.8.0 to before 0.9.0 Vulnerable ·vLLM

Remediation

Fix · CNA vllm (vllm-project) Fixed in 0.9.0
Fix · GHSA-9hcf-v7m4-6m2j vllm (PyPI) Fixed in 0.9.0 Advisory →

Vendor assessments

Red Hat

Red Hat rating: Moderate. Red Hat's page for this CVE →

Product	Status	Plan or fix
Red Hat AI Inference Server	Affected	No fix yet: Fix deferred
Red Hat Enterprise Linux AI (RHEL AI)	Affected	No fix yet: Fix deferred
Red Hat Enterprise Linux AI (RHEL AI) 3	Affected	No fix yet: Fix deferred
Red Hat OpenShift AI (RHOAI)	Affected	No fix yet: Fix deferred

Timeline

2026-10-02 Threatist record created from CVE-2025-48943
2026-10-03 Alias added: GHSA-9hcf-v7m4-6m2j

References

Patch 2

Advisory 2

Other 3

TI-2024-10229 Remote Code Execution in vllm-project/vllm CVSS 3.0CRITICAL 9.8
TI-2024-08404 Remote Code Execution in vllm-project/vllm CVSS 3.1CRITICAL 9.8
TI-2026-36017 vLLM: OpenAI auth bypass CVSS 3.1CRITICAL 9.1
TI-2026-63056 vLLM before 0.28.0 Denial of Service via negative token ID CVSS 4.0HIGH 8.7
TI-2026-04308 Hardcoded trust_remote_code=True in vllm-project/vllm Bypasses User Security Control CVSS 3.0HIGH 8.8
TI-2026-39137 vLLM: Remote DoS in vLLM via Invalid Recovered Token Reinjection CVSS 3.1HIGH 7.5

See all 124 →

Sources

This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences