Signal is active with 2 mentions in latest observed window
Recommended action window: Monitor and triage in normal cycle
NVD 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.
Priority
LOW
Exploitation
NONE
PoC
YES
Patch
AVAILABLE
Momentum
NONE
If you run products in this scope, you should treat this CVE as relevant to your environment.
CVE-2026-25960 Server-Side Request Forgery Bypass in vLLM 0.17.0 URL Parsing Mechanism https://vulmon.com/vulnerabilitydetails?qid=CVE-2026-25960
Post summary
A new SSRSF bypass vulnerability has been identified in vLLM 0.17.0’s URL parsing logic, as documented on Vulmon. No PoC, exploit, patch, or active exploitation information is included.
CVE-2026-25960 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_ur… https://www.cve.org/CVERecord?id=CVE-2026-25960
Post summary
The excerpt announces a bypass of vLLM’s SSRF protection (CVE‑2026‑25960) but does not provide exploit code, active exploitation evidence, or vendor mitigation details for this CVE.
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| Part | Vendor | Product | Version | Target SW | Target HW |
|---|---|---|---|---|---|
| App | vllm | vllm | - | - | - |