CVE-2024-11040
March 20, 2025, 10:15 a.m.
7.5
High
Description
vllm-project vllm version 0.5.2.2 is vulnerable to Denial of Service attacks. The issue occurs in the 'POST /v1/completions' and 'POST /v1/embeddings' endpoints. For 'POST /v1/completions', enabling 'use_beam_search' and setting 'best_of' to a high value causes the HTTP connection to time out, with vllm ceasing effective work and the request remaining in a 'pending' state, blocking new completion requests. For 'POST /v1/embeddings', supplying invalid inputs to the JSON object causes an issue in the background loop, resulting in all further completion requests returning a 500 HTTP error code ('Internal Server Error') until vllm is restarted.
Product(s) Impacted
| Vendor | Product | Versions |
|---|---|---|
| Vllm-project |
|
|
Weaknesses
Common security weaknesses mapped to this vulnerability.
CWE-400
Uncontrolled Resource Consumption
The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources.
*CPE(s)
Affected systems and software identified for this CVE.
| Type | Vendor | Product | Version | Update | Edition | Language | Software Edition | Target Software | Target Hardware | Other Information |
|---|---|---|---|---|---|---|---|---|---|---|
| a | vllm-project | vllm | 0.5.2.2 | / | / | / | / | / | / | / |
Tags
CVSS Score
CVSS Data - 3.0
- Attack Vector: NETWORK
- Attack Complexity: LOW
- Privileges Required: NONE
- Scope: UNCHANGED
- Confidentiality Impact: NONE
- Integrity Impact: NONE
- Availability Impact: HIGH
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Timeline
Published: March 20, 2025, 10:15 a.m.
Last Modified: March 20, 2025, 10:15 a.m.
Last Modified: March 20, 2025, 10:15 a.m.
Status : Awaiting Analysis
CVE has been recently published to the CVE List and has been received by the NVD.
More infoSource
security@huntr.dev
*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.