CVE-2024-8939 json
Vllm: denials of service in vllm json web api
published 2024-09-17 2 y ago modified 2026-08-07 3 mo ago also GHSA-wc36-9694-f9rf , PYSEC-2026-2025 , EUVD-2024-2887
- cvss
- 6.2
- version 3.1, CNA
- cisa kev
- Not listed
- not in CISA's catalog
- epss
- 0.2%
- EPSS 0.2% chance of exploitation in 30 days, percentile 14%
- public exploits
- 0
- none known
Summary
A vulnerability was found in the ilab model serve component, where improper handling of the best_of parameter in the vllm JSON web API can lead to a Denial of Service (DoS). The API used for LLM-based sentence or chat completion accepts a best_of parameter to return the best completion from several options. When this parameter is set to a large value, the API does not handle timeouts or resource exhaustion properly, allowing an attacker to cause a DoS by consuming excessive system resources. This leads to the API becoming unresponsive, preventing legitimate users from accessing the service.
Vendor advisories
What the vendors themselves say about their products: affected, fixed or not affected, and what to do.
red hat product security vex CVE-2024-8939 updated cvss 6.2
vllm: Denials of Service in vllm JSON web API
-
Red Hat Enterprise Linux AI (RHEL AI) bootc-nvidia-rhel9, instructlab-nvidia-rhel9affected: workaround, no fix planned “Will not fix”
Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf
CISA SSVC
- Exploitation
- none
- Automatable
- no
- Technical impact
- partial
- Assessed
- 2 y ago
Exploit prediction
0.23% chance of exploitation in the next 30 days, higher than 14% of all scored CVEs (FIRST EPSS, 2026-11-08).
CVSS scores
| assigned by | version | score | vector |
|---|---|---|---|
| CNA | 3.1 | 6.2 | CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| OSV | 3.1 | 6.2 | CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
| GitHub | 3.1 | 6.2 | CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H |
Affected packages
| ecosystem | package | affected | fixed in |
|---|---|---|---|
| pypi | vllm | <=0.5.0.post1 |
no fix listed |
Affected products
- Red Hat Red Hat Enterprise Linux AI (RHEL AI)
Classification
- Weakness
-
- CWE-400 Uncontrolled Resource Consumption
References
-
access.redhat.com
/security/cve/CVE-2024-8939
vdb-entry, web
-
bugzilla.redhat.com
/show_bug.cgi?id=2312782
issue-tracking, web
-
nvd.nist.gov
/vuln/detail/CVE-2024-8939
advisory
-
github.com
/vllm-project/vllm/issues/6137
web
-
github.com
/vllm-project/vllm
package
-
pypi.org
/project/vllm
package
-
github.com
/advisories/GHSA-wc36-9694-f9rf
advisory
Sources
- CVE List CVE-2024-8939
- GitHub Advisory GHSA-wc36-9694-f9rf
- NVD CVE-2024-8939
- OSV PYSEC-2026-2025
Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.