SSRF Protection Bypass in vLLM

Summary

CVE	CVE-2026-25960
State	PUBLISHED
Assigner	GitHub_M
Source Priority	CVE Program / NVD first with legacy fallback
Published	2026-03-09 21:16:15 UTC
Updated	2026-06-30 03:17:46 UTC
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.

Risk And Classification

Primary CVSS: v3.1 9.8 CRITICAL from [email protected]

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

EPSS: 0.004850000 probability, percentile 0.382610000 (date 2026-07-02)

Problem Types: CWE-918 | CWE-474 | CWE-918 CWE-918: Server-Side Request Forgery (SSRF) | CWE-474 Use of Function with Inconsistent Implementations

Version	Source	Type	Score	Severity	Vector
3.1	[email protected]	Primary	9.8	CRITICAL	`CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H`
3.1	ADP	CVSS	7.1	HIGH	`CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L`
3.1	[email protected]	Secondary	7.1	HIGH	`CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L`
3.1	0b0ca135-0b70-47e7-9f44-1890c2a1c46c	Secondary	7.1	HIGH	`CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L`
3.1	CNA	DECLARED	7.1	HIGH	`CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L`

CVSS v3.1 Breakdown

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

NVD Known Affected Configurations (CPE 2.3)

Type	Vendor	Product	Version	Update	Edition	Language
Application	Vllm	Vllm	All	All	All	All

Vendor Declared Affected Products

Source	Vendor	Product	Version	Platforms
CNA	Vllm-project	Vllm	affected >= 0.15.1, < 0.17.0	Not specified
ADP	Red Hat	Red Hat OpenShift AI 2.25	Not specified	Not specified
ADP	Red Hat	Red Hat AI Inference Server	Not specified	Not specified
ADP	Red Hat	Red Hat Enterprise Linux AI RHEL AI 3	Not specified	Not specified
ADP	Red Hat	Red Hat OpenShift AI RHOAI	Not specified	Not specified

References

Reference	Source	Link	Tags
access.redhat.com/errata/RHSA-2026:24977	0b0ca135-0b70-47e7-9f44-1890c2a1c46c	access.redhat.com
security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-25960.json	0b0ca135-0b70-47e7-9f44-1890c2a1c46c	security.access.redhat.com
github.com/vllm-project/vllm/pull/34743	[email protected]	github.com	Issue Tracking, Patch
github.com/vllm-project/vllm/security/advisories/GHSA-v359-jj2v-j536	[email protected]	github.com	Exploit, Patch, Vendor Advisory
access.redhat.com/security/cve/CVE-2026-25960	0b0ca135-0b70-47e7-9f44-1890c2a1c46c	access.redhat.com
github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc	[email protected]	github.com	Not Applicable
github.com/vllm-project/vllm/commit/6f3b2047abd4a748e3db4a68543f82213580...	[email protected]	github.com	Patch
bugzilla.redhat.com/show_bug.cgi	0b0ca135-0b70-47e7-9f44-1890c2a1c46c	bugzilla.redhat.com
CVE Program record	CVE.ORG	www.cve.org	canonical
NVD vulnerability detail	NVD	nvd.nist.gov	canonical, analysis

No vendor comments have been submitted for this CVE.

Additional Advisory Data

Source	Time	Event
ADP	2026-03-09T22:02:05.461Z	Reported to Red Hat.
ADP	2026-03-09T21:01:01.827Z	Made public.

Solutions

ADP: RHSA-2026:24977: Red Hat OpenShift AI 2.25

Workarounds

ADP: Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base, or stability.

There are currently no legacy QID mappings associated with this CVE.