CVE-2026-105757
Fixed in a distro release EPSS <1%CVSS 6.5
vLLM is an inference and serving engine for large language models. Prior to 0.30.0, structured-output request failures can escape request-scoped validation and reach the EngineCore fatal-error path. A per-request backend mismatch can re-raise a grammar compilation exception, padding produced by the ngram_gpu speculative-decoding mode can pass a negative token to guidance validation, and the Rust frontend can admit empty structured-output values that the Python frontend rejects, allowing ordinary constrained-generation requests to terminate the shared engine. This issue is fixed in version 0.30.0.
Products: vllm-project vllm
Fixed upstream
| Ecosystem | Package | Fixed in |
|---|---|---|
| PyPI | vllm | 0.30.0 |
Distro releases
| Release | Package | Fixed in |
|---|---|---|
| Chainguard | kserve-huggingfaceserver-cuda-13.3 | no fix |
| Chainguard | lmcache-cuda-12.8 | no fix |
| Chainguard | nemo-rl-cuda-13.0-vllm | no fix |
| Chainguard | py3.10-vllm-cuda-12.4 | no fix |
| Chainguard | py3.12-vllm-cuda-12.4 | no fix |
| Chainguard | tritonserver-backend-vllm-cuda-13.0 | 25.11-r17 |
| Chainguard | vllm-cuda-13.2 | 0.32.0-r0 |
| Chainguard | vllm-openai-cuda-13.0 | 0.31.0-r0 |