Vulnerability details
CVE-2026-25960
Red Hat AI Inference ServerRed Hat Enterprise Linux AI 3vllm-project vLLM
SSRF Protection Bypass in vLLM
CVSS 3.1
7.1High
Official 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.
CVSS scores
| Score | Version | Source | Vector |
|---|---|---|---|
| 7.1High | 3.1 | CVEProject cvelistV5 (CNA) (GitHub_M) | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L |
| 7.1High | 3.1 | CVEProject cvelistV5 (CNA) (redhat-SADP) | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:L |
Affected products
| Vendor | Product | Versions | Source |
|---|---|---|---|
| Red Hat | Red Hat AI Inference Server | All | CVEProject cvelistV5 (CNA) |
| Red Hat | Red Hat AI Inference Server | All | CVEProject cvelistV5 (CNA) |
| Red Hat | Red Hat AI Inference Server | All | CVEProject cvelistV5 (CNA) |
| Red Hat | Red Hat AI Inference Server | All | CVEProject cvelistV5 (CNA) |
| Red Hat | Red Hat AI Inference Server | All | CVEProject cvelistV5 (CNA) |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | All | CVEProject cvelistV5 (CNA) |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | All | CVEProject cvelistV5 (CNA) |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | All | CVEProject cvelistV5 (CNA) |
| Red Hat | Red Hat Enterprise Linux AI (RHEL AI) 3 | All | CVEProject cvelistV5 (CNA) |
| vllm-project | vLLM | >= 0.15.1, < 0.17.0 | CVEProject cvelistV5 (CNA) |
References and advisories
9- https://github.com/vllm-project/vllm/security/advisories/GHSA-v359-jj2v-j536 x_refsource_CONFIRM
- https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc x_refsource_MISC
- https://github.com/vllm-project/vllm/pull/34743 x_refsource_MISC
- https://github.com/vllm-project/vllm/commit/6f3b2047abd4a748e3db4a68543f8221358002c0 x_refsource_MISC
- https://access.redhat.com/security/cve/CVE-2026-25960 vdb-entryx_refsource_REDHAT
- https://bugzilla.redhat.com/show_bug.cgi?id=2445892 issue-trackingx_refsource_REDHAT
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-25960.json x_sadp-csaf-vex
- https://access.redhat.com/errata/RHSA-2026:42644 vendor-advisoryx_refsource_REDHAT
- https://access.redhat.com/errata/RHSA-2026:24977 vendor-advisoryx_refsource_REDHAT
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Details
- Published
- 2026-03-10
- Last updated
- 2026-07-21
- State
- Published
- Assigner (CNA)
- GitHub_M
Exploit prediction (EPSS)
0.6%
Probability of exploitation in 30 days
49.2%
Percentile (among all CVEs)
SSVC assessment (CISA)
- Automatable
- No
- Exploitation
- None
- Technical impact
- Partial
Weaknesses (CWE)
- CWE-918Server-Side Request Forgery (SSRF)
- CWE-474Use of Function with Inconsistent Implementations