SOURCE-LINKED INTELLIGENCE
GHSA-6fvq-23cw-5628: vLLM: Resource-Exhaustion (DoS) through Malicious Jinja Template in OpenAI-Compatible Server
### Summary A resource-exhaustion (denial-of-service) vulnerability exists in multiple endpoints of the OpenAI-Compatible Server due to the ability to specify Jinja templates via the `chat_template` and `chat_template_kwargs` parameters. If an attacker can supply these parameters to the API, they can cause a service outage by exhausting CPU and/or memory resources. ### Details When using an LLM as a chat model, the conversation history must be rendered into a text input for the model. In `hf/transformer`, this rendering is performed using a Jinja template. The OpenAI-Compatible Server launched
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- recordType
- vulnerability
- status
- active
- evidenceStatus
- reported
- region
- Global
Evidence & attribution
- OSV AI package advisories · 2025-10-07T21:35:22.000Z
- OSV AI package advisories · 2026-07-07T16:03:06.869Z
First collected: 2026-09-20T22:31:48.298Z. This is not the publication date.