vLLM: Out-of-vocabulary prompt token id passes input validation and triggers a CUDA device-side assert (engine crash / DoS)

[ Description ]Official description

vLLM is an inference and serving engine for large language models. Prior to 0.32.0, vllm/tokenizers/hf.py computes max_token_id with an off-by-one upper bound, allowing a pre-tokenized prompt ID equal to the vocabulary size to pass validation. For a tensor-parallel size of one and an exact multiple-of-64 vocabulary, VocabParallelEmbedding.forward does not mask that value before F.embedding uses it, causing a CUDA device-side assertion and terminating the engine. This issue is fixed in version 0.32.0.

[ Fixes ]Fixes and patches

• vllm 0.32.0Fixed version · GitHub Advisories · pip package vllm: upgrade to 0.32.0 or later (affected < 0.32.0)
• Patch on github.comVendor patch or bulletin · NVD · Reference tagged 'Patch' by NVD
• Patch on github.comVendor patch or bulletin · NVD · Reference tagged 'Patch' by NVD
• Patch on github.comVendor patch or bulletin · NVD · Reference tagged 'Patch' by NVD

[ Advisories ]Government CERT advisories

• BSI CERT-Bund19 Oct 2026WID-SEC-2026-4051

  vllm: Multiple vulnerabilities Translated from German

  CVE-2026-115918CVE-2026-115911CVE-2026-115912+6 more CVEs

[ Packages ]Affected open-source packages

• vllm pipAffected < 0.32.0 · fixed in 0.32.0 · GHSA-q97c-p368-75c4

[ References ]References

• github.com/vllm-project/vllm/commit/37cecc8141e2dcba9dd534897a164d4baaf27229Patch
• github.com/vllm-project/vllm/pull/59491Patch
• github.com/vllm-project/vllm/releases/tag/v0.32.0Release Notes
• github.com/vllm-project/vllm/security/advisories/GHSA-q97c-p368-75c4PatchVendor Advisory