vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.14.1, a Server-Side Request Forgery (SSRF) vulnerability exists in the `MediaConnector` class within the v…
High CVSS 7.1
Summary
vLLM is an inference and serving engine for large language models (LLMs). Prior to version 0.14.1, a Server-Side Request Forgery (SSRF) vulnerability exists in the `MediaConnector` class within the vLLM project's multimodal feature set. The load_from_url and load_from_url_async methods obtain and process media from URLs provided by users, using different Python parsing libraries when restricting the target host. These two parsing libraries have different interpretations of backslashes, which al…
In-depth triage · Auto channel
No in-depth report has been generated yet (DR-003 v2 AI pipeline is under construction).
Affected products
- :
Sources
- NVD DATABASE
Original Links
- https://github.com/vllm-project/vllm/commit/f46d576c54fb8aeec5fc70560e850bed38ef17d7 Patch
- https://github.com/vllm-project/vllm/pull/32746 Issue Tracking
- https://github.com/vllm-project/vllm/security/advisories/GHSA-qh4c-xf7m-gxfc Exploit
- https://access.redhat.com/errata/RHSA-2026:10184
- https://access.redhat.com/errata/RHSA-2026:19712
- https://access.redhat.com/errata/RHSA-2026:30087
- https://access.redhat.com/errata/RHSA-2026:30088
- https://access.redhat.com/errata/RHSA-2026:30089
- https://access.redhat.com/errata/RHSA-2026:3461
- https://access.redhat.com/errata/RHSA-2026:3462
- https://access.redhat.com/errata/RHSA-2026:3782
- https://access.redhat.com/security/cve/CVE-2026-24779
- https://bugzilla.redhat.com/show_bug.cgi?id=2433624
- https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-24779.json
- https://access.redhat.com/errata/RHSA-2026:42644
Timeline
- nvd_ingest NVD