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    CVE-2025-29770

    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.

    Published:Mar 19, 2025
    Last Modified:Jul 31, 2025
    EPS:Mar 19, 2025
    EPSS Score:0.00254
    CVSS Score:6.5

    Affected Products

    Vendor
    Vllm
    Product
    Vllm

    Exploits

    No exploit reference

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    Attack Vector
    Network
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    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
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    Scope
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    Changed
    Confidentiality
    None
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    Integrity
    None
    Low
    High
    Availability
    None
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    High