CVE-2025-46560: Vllm

High severity, CVSS 7.5. EPSS: 0.5% chance of exploitation in the next 30 days.

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.

Affected products

• Vllm Vllm: from 0.8.0, before 0.8.5 (fixed in 0.8.5)

Published 2025-04-30. Last modified 2026-06-17.