Summary
Ein Angreifer kann mehrere Schwachstellen in vllm ausnutzen, um Sicherheitsvorkehrungen zu umgehen, Daten zu manipulieren, sensible Informationen offenzulegen oder einen Denial-of-Service-Zustand auszulösen.
Product
Open Source vLLM ist eine Open-Source-Bibliothek für schnelle und effiziente Inferenz von Large Language Models (LLMs).
Vulnerabilities 8
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Medium 6.5
vLLM before 0.29.0 Resource Exhaustion via Unbounded Media Materialization
vLLM through 0.29.0 fetches and fully materializes remote or inline media before enforcing its documented media controls (the VLLM_MAX_AUDIO_CLIP_FILESIZE_MB compressed-audio size cap, default 25 MB, and the per-modality --limit-mm-per-prompt item limits). Ac…
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Medium 6.5
vllm before 0.29.0 Denial of Service via Decoder Prompt Length Bypass
vLLM before 0.29.0 fails to enforce decoder prompt-length validation on the disaggregated serving endpoint /inference/v1/generate. When the request contains a 'features' (multimodal) payload, vllm/entrypoints/serve/disagg/serving.py builds a multimodal Engine…
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Medium 6.5
vLLM 0.22.1 before 0.28.0 Incomplete Artifact Pin Propagation
vLLM is an inference and serving engine for large language models. In versions from 0.22.1 through 0.28.0, the operator-supplied model revision pin (--revision / --code-revision) is not propagated to several Hugging Face artifact loads for the FunAudioChat an…
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Medium 6.5
vLLM before 0.29.0 Denial of Service via out-of-range stop_token_ids
vLLM before 0.29.0 accepts user-controlled stop_token_ids on the OpenAI-compatible POST /v1/completions and POST /v1/chat/completions endpoints but validates only that the values are integers, not that each token id is within the model vocabulary/logits range…
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Medium 5.9
vLLM 0.22.0 through 0.23.0 Denial of Service via stop_token_ids
vLLM versions 0.22.0 through 0.23.0 fail to validate stop_token_ids against vocabulary bounds in Rust HTTP and gRPC frontends, allowing out-of-vocabulary token IDs to reach MinTokensLogitsProcessor. Attackers can submit requests with min_tokens greater than z…
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Medium 5.3
vLLM before 0.29.0 CPU Exhaustion via unbounded cache_salt
vLLM versions before 0.29.0 contain a denial-of-service vulnerability in the cache_salt parameter accepted on OpenAI-compatible and Anthropic API endpoints, which lacks maximum length validation and is processed on the single EngineCore scheduler thread. Unau…
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Medium 5.3
vllm before 0.29.0 Uncontrolled Resource Consumption via Audio Decoding
vllm before 0.29.0 fails to enforce VLLM_MAX_AUDIO_CLIP_FILESIZE_MB limit in multimodal chat audio decoding, allowing unauthenticated clients to bypass file size restrictions. Attackers can submit oversized audio files through chat endpoints to consume excess…
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Low 3.7
vLLM before 0.29.0 Resource Limit Bypass via Sampler Subclass
vLLM before 0.29.0 contains a resource-limit bypass vulnerability in PyNvVideoCodec decoder allocation where sampler subclass shadowing allows independent counter increments. Unauthenticated attackers can select different sampler subclasses in video requests …
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
Neue Updates von Red Hat aufgenommen
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#2
Referenz(en) aufgenommen: CVE-2026-100648, EUVD-2026-87742, CVE-2026-100647, EUVD-2026-87741, CVE-2026-100652, EUVD-2026-87746, CVE-2026-100651, EUVD-2026-87745, CVE-2026-100649, EUVD-2026-87743, CVE-2026-100653, EUVD-2026-87747, CVE-2026-100650, EUVD-2026-87744, CVE-2026-100654, EUVD-2026-87748
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#1
Initiale Fassung
References
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GitHub Security Advisory GHSA-3mqx-f33v-vgp9 vom 2026-09-13
https://github.com/vllm-project/vllm/security/advisories/GHSA-3mqx-f33v-vgp9
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GitHub Security Advisory GHSA-hhv2-872h-628q vom 2026-09-13
https://github.com/vllm-project/vllm/security/advisories/GHSA-hhv2-872h-628q
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GitHub Security Advisory GHSA-j682-9xp5-rrf3 vom 2026-09-13
https://github.com/vllm-project/vllm/security/advisories/GHSA-j682-9xp5-rrf3
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GitHub Security Advisory GHSA-jcq2-4gch-5qhf vom 2026-09-13
https://github.com/vllm-project/vllm/security/advisories/GHSA-jcq2-4gch-5qhf
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GitHub Security Advisory GHSA-p6g9-7v3x-m8mv vom 2026-09-13
https://github.com/vllm-project/vllm/security/advisories/GHSA-p6g9-7v3x-m8mv
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GitHub Security Advisory GHSA-qff2-492f-9fm4 vom 2026-09-13
https://github.com/vllm-project/vllm/security/advisories/GHSA-qff2-492f-9fm4
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GitHub Security Advisory GHSA-v5gm-qgmv-gc6c vom 2026-09-13
https://github.com/vllm-project/vllm/security/advisories/GHSA-v5gm-qgmv-gc6c
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GitHub Security Advisory GHSA-wpww-v874-ph2p vom 2026-09-13
https://github.com/vllm-project/vllm/security/advisories/GHSA-wpww-v874-ph2p
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Red Hat Security Advisory RHSA-2026:90440 vom 2026-10-26
https://access.redhat.com/errata/RHSA-2026:90440
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Red Hat Security Advisory RHSA-2026:94721 vom 2026-11-03
https://access.redhat.com/errata/RHSA-2026:94721
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Red Hat Security Advisory RHSA-2026:94702 vom 2026-11-03
https://access.redhat.com/errata/RHSA-2026:94702
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Red Hat Security Advisory RHSA-2026:94709 vom 2026-11-03
https://access.redhat.com/errata/RHSA-2026:94709
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Red Hat Security Advisory RHSA-2026:94738 vom 2026-11-03
https://access.redhat.com/errata/RHSA-2026:94738
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Red Hat Security Advisory RHSA-2026:94717 vom 2026-11-03
https://access.redhat.com/errata/RHSA-2026:94717
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Red Hat Security Advisory RHSA-2026:96323 vom 2026-11-09
https://access.redhat.com/errata/RHSA-2026:96323
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Red Hat Security Advisory RHSA-2026:96333 vom 2026-11-09
https://access.redhat.com/errata/RHSA-2026:96333