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    CVE-2026-116181

    vLLM from 0.20.1 before 0.29.0 contains an improper input validation vulnerability that allows remote attackers to crash the engine by supplying out-of-vocabulary stop_token_ids. Attackers can send OpenAI chat, completion, generate, or batch requests with invalid IDs to terminate the engine or write outside the V2 runner's logits buffer.

    Published:Oct 25, 2026
    Last Modified:Oct 29, 2026
    EPS:Oct 25, 2026
    EPSS Score:0.00374
    CVSS Score:6.5

    Affected Products

    Vendor
    Vllm
    Product
    Vllm
    Vendor
    Vllm-project
    Product
    Vllm

    Exploits

    No exploit reference

    Common Attack Pattern Enumeration and Classification (CAPEC)

    CAPEC-100 Overflow Buffers

    Related CVEs

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    CVE-2026-115914 (CVSS 6.5) — vLLM is an inference and serving engine for large language models. From 0.11.1 until 0.32.0, the DeepSeek-OCR,…
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    CVE-2026-115912 (CVSS 7.5) — vLLM is an inference and serving engine for large language models. Prior to 0.32.0, an authenticated caller ca…
    CVE-2026-115911 (CVSS 6.5) — vLLM is an inference and serving engine for large language models. From 0.19.0 until 0.32.0, authenticated cal…
    CVE-2026-116180 (CVSS 8.3) — vLLM from 0.8.5 before 0.31.0 has a denial of service flaw. LogprobsTensors.empty_cpu() in vllm/v1/outputs.py …
    CVE-2026-116179 (CVSS 8.7) — vLLM from 0.18.0 before 0.31.0 contains a resource exhaustion vulnerability that allows API clients to bypass …

    Common Vulnerability Scoring System

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