A AegiFlow
HIGHCVSS 7.5EPSS 0.5%

CVE-2026-115912

CVE-2026-115912 updated by NVD

Published
2026-10-28
Modified
2026-10-30
EPSS percentile
43%
Sources
github-advisory, nvd

Summary

vLLM is an inference and serving engine for large language models. Prior to 0.32.0, an authenticated caller can place forged shared-memory address and monotonic_id values in public multimodal features.kwargs_data. In scale-out deployments with shared-memory multimodal caching enabled, workers trust those values and pass attacker-selected bytes to pickle.loads(), allowing arbitrary Python execution even when insecure serialization is disabled. This issue is fixed in version 0.32.0.

Affected packages

EcosystemPackageAffected versionsFixed versions
PyPIvllm—0.32.0

Remediation: Upgrade to 0.32.0 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.