CVE-2025-46560
Last modified
CVE-2025-46560 is a high-severity vulnerability rated 7.5/10 on the CVSS scale. 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. EPSS estimates a 0.43% chance of exploitation in the next 30 days.
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.
Metrics
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Weakness Enumeration
Affected Software
| Vendor | Product | Versions |
|---|---|---|
| Vllm | Vllm | >= 0.8.0, < 0.8.5 |
References
- https://github.com/vllm-project/vllm/security/advisories/GHSA-vc6m-hm49-g9qgExploit, Vendor Advisory
- https://github.com/vllm-project/vllm/security/advisories/GHSA-vc6m-hm49-g9qgExploit, Vendor Advisory
Timeline
- Published
- Last Modified
- Status
- Analyzed
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