A AegiFlow
MEDIUMCVSS 6.5EPSS 0.3%

CVE-2026-73560

CVE-2026-73560 updated by NVD

Published
2026-09-08
Modified
2026-09-20
EPSS percentile
25%
Sources
github-advisory, nvd

Summary

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.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIvllm0.26.0

Remediation: Upgrade to 0.26.0 or later.

References

Includes data from the GitHub Advisory Database, licensed under CC-BY 4.0.

Includes data from the National Vulnerability Database (NIST). NVD data is in the public domain; this page is not endorsed by NIST.

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EPSS scores provided by the FIRST.org Exploit Prediction Scoring System.