Technical impact
The vulnerability is an improper input validation flaw that allows a remote attacker to supply out‑of‑vocabulary stop_token_ids. When these IDs are processed by the library, the engine crashes or writes beyond the bounds of the V2 runner’s logits buffer, potentially corrupting GPU memory and terminating the service.
Affected Systems
Any deployment of the vLLM library from version 0.20.1 through the last release before 0.29.0 is affected. This includes all users of the vllm-project’s vLLM package regardless of operating system or platform.
Risk and Exploitability
The CVSS score of 7.1 indicates a high severity. The EPSS score is not available so exploitation probability is unknown, and the vulnerability is not listed in the CISA KEV catalog. Exploitation can be performed remotely by sending malicious OpenAI chat, completion, generate, or batch requests that contain invalid stop_token_ids; no credentials or local access are required.