CVE-2026-25960Vllm · Vllm
Vulnerability data via NVD (ingested)
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.
External references
Search for exposed instances
Shodan + Censys queries derived from NVD's CPE data. The vuln tag catches assets Shodan has explicitly linked to this CVE; the product / banner fingerprints find exposed instances even when the vuln tag was never applied (which is common).
vuln:CVE-2026-25960product:"Vllm Vllm"http.html:"Vllm"More intel sources (5)
vuln:CVE-2026-25960vulnerabilities.cve_id: CVE-2026-25960CVE-2026-25960CVE-2026-25960"CVE-2026-25960" exploit -site:nvd.nist.gov