6.5

CVE-2025-48943: vllm-project vllm Uncaught Exception

CVSS: 6.5v3.1MediumAnalyzed
AliasesGHSA-9hcf-v7m4-6m2jPYSEC-2025-55
Published 30-05-2025Last modified 30-05-2025

Vulnerability summary

CVE-2025-48943 is a medium (CVSS 6.5) Uncaught Exception vulnerability in vllm-project vllm. EPSS estimates a 0.49% chance of exploitation in the next 30 days, higher than 40.6% of scored vulnerabilities.

Overall risk
26/100
0100
Medium · default modelHow is this calculated?
CVSS score
6.5/10
010
Medium · v3.1 (CVE.org)
EPSS score
0.49%
0%100%
Low · +0.01 pp in 30 days
KEVNot listedIn no KEV catalog
RansomwareNone recordedNo known use recorded
Public exploits0No public exploits recorded

Advisory lineage

Upstream 0 · Downstream 0 · Related 2

Timeline

  1. 30-05-2025
    PublishedVulnerability first disclosed.
  2. 30-05-2025
    Last modifiedVulnerability information updated.

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 metrics

3 scores · 3 sources · 1 version

EPSS trend

Probability

0.49%

Chance of exploitation in the next 30 days

Percentile

41%

Versus all other CVEs

30-day change

+0.01 pp

From 0.47% on 20-09-2026

20-09-202620-10-2026
EPSS score
0.49%

Known exploited

Compare KEV catalogs

Not in any of the 3 tracked catalogs.

Public exploits

0 found

No public exploits indexed.

Weaknesses

CWE · root cause

Affected systems

PyPI1 product
  • vllm< 08bf7840780980c7568c573c70a6a8db94fd45ff | ≥ 0.8.0, < 0.9.0
Vllm1 product
  • vllm≥ 0.8.0, < 0.9.0
Vllm-project1 product
  • vllm≥ 0.8.0, < 0.9.0

3 vendors · 3 products

References

7 links