CVE-2026-25960: CWE-918: Server-Side Request Forgery (SSRF) in vllm-project vllm
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.
AI Analysis
Technical Summary
The vulnerability in vllm 0.17.0 involves a bypass of SSRF protections originally introduced in version 0.15.1. The SSRF fix uses urllib3.util.parse_url() to validate and extract hostnames from user-supplied URLs, but the actual HTTP requests in load_from_url_async use aiohttp, which parses URLs differently via the yarl library. This discrepancy leads to inconsistent URL parsing and validation, enabling an attacker to bypass SSRF protections and potentially cause the server to make unauthorized requests to internal or protected resources.
Potential Impact
Successful exploitation of this SSRF vulnerability can allow an attacker with limited privileges to cause the server to make HTTP requests to arbitrary internal or external resources. The CVSS score of 7.1 (high) reflects the potential for high confidentiality impact without integrity or availability impact. This could lead to unauthorized information disclosure or interaction with internal services not otherwise accessible.
Mitigation Recommendations
No official patch or fix is explicitly stated in the provided vendor advisory content. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, users should consider restricting or monitoring the use of the load_from_url_async method or applying additional URL validation consistent with the HTTP client parsing behavior to prevent SSRF bypass.
CVE-2026-25960: CWE-918: Server-Side Request Forgery (SSRF) in vllm-project vllm
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 v3.1
Score 7.1high
Affected software
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AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in vllm 0.17.0 involves a bypass of SSRF protections originally introduced in version 0.15.1. The SSRF fix uses urllib3.util.parse_url() to validate and extract hostnames from user-supplied URLs, but the actual HTTP requests in load_from_url_async use aiohttp, which parses URLs differently via the yarl library. This discrepancy leads to inconsistent URL parsing and validation, enabling an attacker to bypass SSRF protections and potentially cause the server to make unauthorized requests to internal or protected resources.
Potential Impact
Successful exploitation of this SSRF vulnerability can allow an attacker with limited privileges to cause the server to make HTTP requests to arbitrary internal or external resources. The CVSS score of 7.1 (high) reflects the potential for high confidentiality impact without integrity or availability impact. This could lead to unauthorized information disclosure or interaction with internal services not otherwise accessible.
Mitigation Recommendations
No official patch or fix is explicitly stated in the provided vendor advisory content. Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, users should consider restricting or monitoring the use of the load_from_url_async method or applying additional URL validation consistent with the HTTP client parsing behavior to prevent SSRF bypass.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-02-09T17:13:54.066Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Vendor Advisory Urls
- [{"url":"https://access.redhat.com/security/cve/CVE-2026-25960","vendor":"Red Hat"},{"url":"https://access.redhat.com/errata/RHSA-2026:24977","vendor":"Red Hat"}]
Threat ID: 69b03689ea502d3aa867a119
Added to database: 03/10/2026, 15:19:37 UTC
Last enriched: 07/22/2026, 22:31:09 UTC
Last updated: 07/26/2026, 00:57:12 UTC
Views: 501
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