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High 7.1Published Mar 9, 2026

CVE-2026-25960SSRF Protection Bypass in vLLM

Updated under an hour ago ()

Does this affect you?

It affects vllm-project vllm and 4 other products. Add what you run to find out whether that includes you.

No exploitation reported and no EPSS estimate yet.

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.

CVSS
7.1 HIGH (v3.1, CNA)CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L
Weakness (CWE)
CWE-918, CWE-474
Known exploited
Not in CISA's KEV catalog
EPSS (exploitation in the next 30 days)
Not loaded for this CVE
Assigned by
GitHub_M
NVD analysis
Modified
Record last updated
Jul 21, 2026
First seen by InfoSec Signals
Oct 9, 2026

Affected products

Affected products
vllm-project vllm
vllm_project:vllm (from the name)
from 0.15.1, < 0.17.0
CNA record
from 1780069069 not affected
CISA ADP
Red Hat Red Hat AI Inference Server
redhat:ai_inference_server
3
CISA ADP
3
CISA ADP
vllm vllm
vllm:vllm
from 0.15.1 before 0.17.0
NVD

References

References

The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.

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