CVE Feed

    Dashboard / CVE / CVE-2026-37237

    CVE-2026-37237

    vLLM up to and including 0.17.0 allows remote attackers to cause a Denial of Service via memory exhaustion. The AsyncMediaIO.fetch_audio and AsyncMediaIO.fetch_image functions in multimodal/inputs.py fetch user-supplied media URLs using aiohttp and call r.read() without enforcing a maximum response size, allowing an attacker to exhaust server memory by providing a URL to an arbitrarily large file.

    Published:Aug 28, 2026
    Last Modified:Aug 28, 2026
    EPS:Aug 28, 2026
    EPSS Score:
    CVSS Score:7.5

    Affected Products

    Vendor
    Vllm-project
    Product
    Vllm

    Exploits

    No exploit reference

    Related CVEs

    CVE-2026-73560 (CVSS 6.5) — vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the MiMoV2OmniMultiModalPr…
    CVE-2026-71486 (CVSS 4.3) — vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the /v1/completions/derend…
    CVE-2026-73559 (CVSS 6.5) — vLLM is an inference and serving engine for large language models. From 0.19.0 until 0.26.0, the /v1/completio…
    CVE-2026-73558 (CVSS 5.3) — vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blo…
    CVE-2026-73557 (CVSS 6.3) — vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safe_load_prom…
    CVE-2026-73556 (CVSS 5.3) — vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the structured_outputs.reg…
    CVE-2026-73555 (CVSS 5.3) — vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the validation_exception_h…
    CVE-2026-55514 (CVSS 7.1) — vLLM is a library for LLM inference and serving. From 0.12.0 to before 0.24.0, sending a pure prompt embeds pa…
    CVE-2026-55574 (CVSS 8.7) — vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, the str…
    CVE-2026-54234 (CVSS 7.5) — vLLM is a high-throughput and memory-efficient inference and serving engine for LLMs. Prior to 0.24.0, a front…

    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