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CVE-2026-25960

SSRF Protection Bypass in vLLM

Published: Mar 9, 2026Updated: Jul 21, 2026 Sources: CVE List NVD GHSA BDUCWE-918
7.1HIGH
NVD MITRE
EPSS Score
0.5%
Top 57.3%
CISA KEV
Not in KEV
Exploits
No Known Exploits
Remediation
Patch Available
Self-Check
Not available

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.

No summary for this CVE yet.

CVSS Vector Breakdown

AV:NAC:LPR:LUI:NS:UC:HI:NA:L
Exploitability
AV:NAttack Vector
Network
AC:LAttack Complexity
Low
PR:LPrivileges Required
Low
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:HConfidentiality
High
I:NIntegrity
None
A:LAvailability
Low
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Weaknesses

CWE-918CWE-474

Affected Products

vLLM Project
oss-projectaka vllm
vLLMMixed
AI / ML / llm-serving-inference
vllm-project
oss-projectaka vllm, vllm-project/vllm
vllmMixed
AI / ML / llm-serving-inference
PyPI
package-ecosystem
vllm
OSS Libraries
vllm
oss-projectaka aibrix
vllmMixed
AI / ML / llm-serving-inference

Exploitability

Official Patch Available
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Attack Graph

Products CVE Techniques Tactics

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MITRE ATT&CK

2 techniques
Command and Control
Initial Access
View detailed technique mapping

References

https://github.com/vllm-project/vllm/commit/6f3b2047abd4a748e3db4a68543f8221358002c0
github.com
https://github.com/vllm-project/vllm/pull/34743
github.com
https://github.com/advisories/GHSA-v359-jj2v-j536
github.com
and 13 more references View all →

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