HomeVllmCVE-2025-29770

CVE-2025-29770

MEDIUM
6.5CVSS
Published: 2025-03-19
Updated: 2025-07-31
AI Analysis

Description

vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. The outlines library is one of the backends used by vLLM to support structured output (a.k.a. guided decoding). Outlines provides an optional cache for its compiled grammars on the local filesystem. This cache has been on by default in vLLM. Outlines is also available by default through the OpenAI compatible API server. The affected code in vLLM is vllm/model_executor/guided_decoding/outlines_logits_processors.py, which unconditionally uses the cache from outlines. A malicious user can send a stream of very short decoding requests with unique schemas, resulting in an addition to the cache for each request. This can result in a Denial of Service if the filesystem runs out of space. Note that even if vLLM was configured to use a different backend by default, it is still possible to choose outlines on a per-request basis using the guided_decoding_backend key of the extra_body field of the request. This issue applies only to the V0 engine and is fixed in 0.8.0.

CVSS Metrics

Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H
Attack Vector
network
Complexity
low
Privileges
low
User Action
none
Scope
unchanged
Confidentiality
none
Integrity
none
Availability
high
Weaknesses
CWE-770

Metadata

Primary Vendor
VLLM
Published
3/19/2025
Last Modified
7/31/2025
Source
NIST NVD
Note: Verify all details with official vendor sources before applying patches.

Affected Products

vllm : vllm

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CVE-CVE-2025-29770 | MEDIUM Severity | CVEDatabase.com | CVEDatabase.com