CVE-2026-73560

01/תיאור (מקור, אנגלית)

vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the MiMoV2OmniMultiModalProcessor in vllm/transformers_utils/processors/mimo_v2_omni.py passes attacker-controlled image and audio strings through _fetch_image, requests.get, and Image.open instead of MediaConnector, bypassing allowed_media_domains and allowed_local_media_path protections and allowing server-side requests and reads of arbitrary files accessible to the vLLM process. This issue is fixed in version 0.26.0.

02/מוצרים מושפעים

vllm: vllm

03/קישורים5

• github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66‮… MitigationVendor Advisory
• github.com/vllm-project/vllm/security/advisories/GHSA-4hhp-h66‮… MitigationVendor Advisory
• github.com/vllm-project/vllm/commit/54503ecec0f3ac31e5ecfc5f28‮… Patch
• github.com/vllm-project/vllm/pull/43117 Issue TrackingPatch
• github.com/vllm-project/vllm/releases/tag/v0.26.0 Release Notes