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 inconsisten…
高危 CVSS 7.1
摘要
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…
中文摘要建设中,暂以英文摘要呈现(DR-003 v2)。
深度研判 · 自动通道
该漏洞尚未生成深度研判报告(DR-003 v2 AI pipeline 建设中)。
受影响产品
- :
数据来源
- NVD DATABASE
原始链接
- https://github.com/vllm-project/vllm/commit/6f3b2047abd4a748e3db4a68543f8221358002c0 Patch
- https://github.com/vllm-project/vllm/pull/34743 Issue Tracking
- https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc Not Applicable
- https://github.com/vllm-project/vllm/security/advisories/GHSA-v359-jj2v-j536 Exploit
- https://access.redhat.com/errata/RHSA-2026:24977
- https://access.redhat.com/errata/RHSA-2026:42644
- https://access.redhat.com/security/cve/CVE-2026-25960
- https://bugzilla.redhat.com/show_bug.cgi?id=2445892
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-25960.json
时间线
- nvd_ingest NVD