Uncontrolled Resource Consumption ('Resource Exhaustion') Affecting vllm package, versions [0,]
Threat Intelligence
Snyk has a proof-of-concept or detailed explanation of how to exploit this vulnerability.
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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Start learning- Snyk IDSNYK-PYTHON-VLLM-8023208
- published18 Sept 2024
- disclosed17 Sept 2024
- creditThomas Parnell
Introduced: 17 Sep 2024
CVE-2024-8939 (opens in a new tab)How to fix?
There is no fixed version for vllm.
Overview
vllm is an A high-throughput and memory-efficient inference and serving engine for LLMs
Affected versions of this package are vulnerable to Uncontrolled Resource Consumption ('Resource Exhaustion') via the best_of parameter. An attacker can cause the system to become unresponsive and prevent legitimate users from accessing the service by consuming excessive system resources.