/
DirectorySecurity AdvisoriesPricing
Sign In
Security Advisories

CVE-2025-46560

Published

Last updated

NVD

https://nvd.nist.gov/vuln/detail/CVE-2025-46560

Severity

Unknown

Description

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Versions starting from 0.8.0 and prior to 0.8.5 are affected by a critical performance vulnerability in the input preprocessing logic of the multimodal tokenizer. The code dynamically replaces placeholder tokens (e.g., <|audio_|>, <|image_|>) with repeated tokens based on precomputed lengths. Due to ​​inefficient list concatenation operations​​, the algorithm exhibits ​​quadratic time complexity (O(n²))​​, allowing malicious actors to trigger resource exhaustion via specially crafted inputs. This issue has been patched in version 0.8.5.

References

Affected packages


Safe Source for Open Sourceâ„¢
Media KitContact Us
© 2025 Chainguard. All Rights Reserved.
Private PolicyTerms of Use

Products

Chainguard ContainersChainguard LibrariesChainguard VMs