Summary
Ein entfernter, authentisierter Angreifer kann mehrere Schwachstellen in vllm ausnutzen, um einen Denial of Service Angriff durchzuführen.
Product
Open Source vLLM ist eine Open-Source-Bibliothek für schnelle und effiziente Inferenz von Large Language Models (LLMs).
Vulnerabilities 2
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Medium 6.5
vLLM: Request-selected PyNvVideoCodec GPU decode bypasses static VRAM reservation
vLLM is an inference and serving engine for large language models. Prior to 0.28.0, request bodies for Chat Completions and Responses can set media_io_kwargs.video.video_backend to pynvvideocodec, and MediaConnector.fetch_video forwards that choice to VideoMe…
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Medium 6.5
vLLM before 0.28.0 Denial of Service via Audio Header
vLLM versions before 0.28.0 fail to validate audio sample rate headers in the transcription endpoint, allowing authenticated clients to bypass duration checks. Attackers can submit forged FLAC headers with inflated sample rates to trigger excessive memory all…
Revision history
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#5
Neue Updates von Red Hat aufgenommen
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#4
Neue Updates von Red Hat aufgenommen
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#3
Referenz(en) aufgenommen: EUVD-2026-80935
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#2
CVE ergänzt
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#1
Initiale Fassung
References
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GitHub Security Advisory GHSA-8pw2-6jv3-mj5j vom 2026-08-30
https://github.com/vllm-project/vllm/security/advisories/GHSA-8pw2-6jv3-mj5j
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GitHub Security Advisory GHSA-8pw2-6jv3-mj5j vom 2026-08-30
https://github.com/vllm-project/vllm/security/advisories/GHSA-99f2-hwrc-gvq8
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Red Hat Security Advisory RHSA-2026:82059 vom 2026-10-13
https://access.redhat.com/errata/RHSA-2026:82059
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Red Hat Security Advisory RHSA-2026:82061 vom 2026-10-13
https://access.redhat.com/errata/RHSA-2026:82061
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Red Hat Security Advisory RHSA-2026:92452 vom 2026-10-29
https://access.redhat.com/errata/RHSA-2026:92452
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Red Hat Security Advisory RHSA-2026:92449 vom 2026-10-29
https://access.redhat.com/errata/RHSA-2026:92449