7.1 HIGH
- CVSS version (CVSS): 3.1
- Attack Vector (AV): Network (N)
- Attack Complexity (AC): Low (L)
- Privileges Required (PR): Low (L)
- User Interaction (UI): None (N)
- Scope (S): Unchanged (U)
- Confidentiality (C): High (H)
- Integrity (I): None (N)
- Availability (A): Low (L)
- Modified Attack Vector (MAV): Network (N)
- Modified Attack Complexity (MAC): Low (L)
- Modified Privileges Required (MPR): Low (L)
- Modified User Interaction (MUI): None (N)
- Modified Confidentiality (MC): High (H)
- Modified Scope (MS): Unchanged (U)
- Modified Integrity (MI): None (N)
- Modified Availability (MA): Low (L)
by @mweinelt Activity log
- Created suggestion
-
@mweinelt
ignored
4 packages
- pkgsRocm.vllm
- python312Packages.vllm
- python313Packages.vllm
- pkgsRocm.python3Packages.vllm
- @mweinelt accepted
- @mweinelt published on GitHub
SSRF Protection Bypass in 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.
References
-
https://github.com/vllm-project/vllm/security/advisories/GHSA-v359-jj2v-j536 x_refsource_CONFIRM
-
https://github.com/vllm-project/vllm/pull/34743 x_refsource_MISC
Affected products
- ==>= 0.15.1, < 0.17.0
Matching in nixpkgs
Ignored packages (4)
pkgs.pkgsRocm.vllm
High-throughput and memory-efficient inference and serving engine for LLMs
pkgs.python312Packages.vllm
High-throughput and memory-efficient inference and serving engine for LLMs
pkgs.python313Packages.vllm
High-throughput and memory-efficient inference and serving engine for LLMs
Package maintainers
-
@happysalada Raphael Megzari <raphael@megzari.com>
-
@CertainLach Yaroslav Bolyukin <iam@lach.pw>