Vulnerability Monitor

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CVE-2026-25960

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.

Security Impact Summary

This vulnerability carries a HIGH severity rating with a CVSS v3.1 score of 7.1, indicating it can be exploited remotely over the network with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts confidentiality (data exposure), and limited availability for affected systems. Impacting 1 product from vllm organizations running these solutions should prioritize assessment and patching.

Historical Context

Reported in 2026, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.

Published

2026-03-09T21:16:15.537

Last Modified

2026-03-18T18:36:10.323

Status

Analyzed

Source

[email protected]

Severity

CVSSv3.1: 7.1 (HIGH)

Weaknesses

Type: Primary
CWE-918

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	vllm	vllm	< 0.17.0	Yes

References

https://github.com/vllm-project/vllm/commit/6f3b2047abd4a748e3db4a68543f8221358002c0 Patch ([email protected])
https://github.com/vllm-project/vllm/pull/34743 Issue Tracking, Patch ([email protected])
https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc Not Applicable ([email protected])
https://github.com/vllm-project/vllm/security/advisories/GHSA-v359-jj2v-j536 Exploit, Patch, Vendor Advisory ([email protected])

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For vllm's affected products, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.