CVE-2026-24779
vllm-project vllm, Red Hat AI Inference Server 3.2, Red Hat AI Inference Server 3.3 취약점
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 allows the host name restriction to be bypassed. This allows an attacker to coerce the vLLM server i...
- 대응 우선순위
- 점검
- CVSS
- 7.1
- EPSS
- 0.53% 백분위 41.8% · 2026.08.03 기준
- CISA KEV
- 미등록
- 조치 기한
- -
- 공개일
- 2026.01.28