CVE•Published 2026-03-09•Modified 2026-07-21•0 articles on news•5 live references•NVD data

CVE-2026-25960Vllm · Vllm

Vulnerability data via NVD (ingested)

CVSS v3.1
7.1
HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L
EPSS percentile
38
Exploit Prediction Scoring System · top 62% of all CVEs
Description

vLLM is an inference and serving engine for large language models (LLMs). The SSRF protection fix for CVE-2026-24779 add in 0.15.1 can be bypassed in the load_from_url_async method due to inconsistent URL parsing behavior between the validation layer and the actual HTTP client. The SSRF fix uses urllib3.util.parse_url() to validate and extract the hostname from user-provided URLs. However, load_from_url_async uses aiohttp for making the actual HTTP requests, and aiohttp internally uses the yarl library for URL parsing. This vulnerability in 0.17.0.

Timeline
Published 2026-03-09
Modified 2026-07-21

External references

Search for exposed instances

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More intel sources (5)

Known PoCs on GitHub

No public proof-of-concept repositories found for CVE-2026-25960 on GitHub.
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