WID-SEC-W-2026-2842

csafDEcert_bund

DeutschShown in its original language — a full translation is planned for a future version.

vllm: Mehrere Schwachstellen

view advisory published 2026-08-13

Ein Angreifer kann mehrere Schwachstellen in vllm ausnutzen, um Informationen offenzulegen, Daten zu manipulieren, Sicherheitsmaßnahmen zu umgehen oder einen Denial-of-Service-Zustand herbeizuführen.

01

describes (5)

Related CVEs.

IDseverity exploitable
CVE-2026-73559US——
vLLM is an inference and serving engine for large language models. From 0.19.0 until 0.26.0, the /v1/completions CompletionRequest.prompt field in vllm/entrypoints/openai/completio…
CVE-2026-73558US——
vLLM is an inference and serving engine for large language models. Prior to 0.27.0, an integer overflow in blockIdx.x * 2 * d in activation_kernels.cu can cause act_and_mul_kernel…
CVE-2026-73557USmedium5.3—
vLLM is an inference and serving engine for large language models. From 0.20.2rc0 until 0.26.0, safe_load_prompt_embeds in vllm/renderers/embed_utils.py uses torch.sparse.check_spa…
CVE-2026-73556US——
vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the structured_outputs.regex parameter in vllm/v1/structured_output/backend_lm_format_enforcer.p…
CVE-2026-73555US——
vLLM is an inference and serving engine for large language models. Prior to 0.26.0, the validation_exception_handler in vllm/entrypoints/openai/server_utils.py converts FastAPI Req…
02

references

External citations — patches, advisories, analysis.

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