PYSEC-2026-4347
See a problem?- Import Source
- https://github.com/pypa/advisory-database/blob/main/vulns/vllm/PYSEC-2026-4347.yaml
- JSON Data
- https://api.osv.dev/v1/vulns/PYSEC-2026-4347
- Aliases
- Published
- 2026-10-26T18:17:39Z
- Modified
- 2026-10-29T11:00:02Z
- Severity
-
- 6.5 (Medium) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H CVSS Calculator
- Summary
- [none]
- Details
-
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.
- References
Affected packages
PyPI / vllm
Package
- Name
- vllm
- View open source insights on deps.dev
- Purl
- pkg:pypi/vllm
Affected ranges
- Type
- ECOSYSTEM
- Events
-
Introduced0 Unknown introduced version / All previous versions are affectedFixed0.32.0
Affected versions
0.*
0.0.1
0.1.0
0.1.1
0.1.2
0.1.3
0.1.4
0.1.5
0.1.6
0.1.7
0.2.0
0.2.1
0.2.1.post1
0.2.2
0.2.3
0.2.4
0.2.5
0.2.6
0.2.7
0.3.0
0.3.1
0.3.2
0.3.3
0.4.0
0.4.0.post1
0.4.1
0.4.2
0.4.3
0.5.0
0.5.0.post1
0.5.1
0.5.2
0.5.3
0.5.3.post1
0.5.4
0.5.5
0.6.0
0.6.1
0.6.1.post1
0.6.1.post2
0.6.2
0.6.3
0.6.3.post1
0.6.4
0.6.4.post1
0.6.5
0.6.6
0.6.6.post1
0.7.0
0.7.1
0.7.2
0.7.3
0.8.0
0.8.1
0.8.2
0.8.3
0.8.4
0.8.5
0.8.5.post1
0.9.0
0.9.0.1
0.9.1
0.9.2
0.10.0
0.10.1
0.10.1.1
0.10.2
0.11.0
0.11.1
0.11.2
0.12.0
0.13.0
0.14.0
0.14.1
0.15.0
0.15.1
0.16.0
0.17.0
0.17.1
0.18.0
0.18.1
0.19.0
0.19.1
0.20.0
0.20.1
0.20.2
0.21.0
0.22.0
0.22.1
0.23.0
0.24.0
0.25.0
0.25.1
0.26.0
0.27.0
0.27.1
0.28.0
0.29.0
0.30.0
0.31.0