GHSA-3cgq-c484-rx5j
Suggest an improvement- Source
- https://github.com/advisories/GHSA-3cgq-c484-rx5j
- Import Source
- https://github.com/github/advisory-database/blob/main/advisories/github-reviewed/2026/10/GHSA-3cgq-c484-rx5j/GHSA-3cgq-c484-rx5j.json
- JSON Data
- https://api.osv.dev/v1/vulns/GHSA-3cgq-c484-rx5j
- Withdrawn
- 2026-10-23T20:58:03Z
- Published
- 2026-10-21T03:32:16Z
- Modified
- 2026-10-23T21:15:03Z
- Severity
-
- 7.5 (High) CVSS_V3 - CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H CVSS Calculator
- 8.7 (High) CVSS_V4 - CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X CVSS Calculator
- Summary
- Duplicate Advisory: vLLM 0.7.3 before 0.31.0 DoS via Unvalidated mm_processor_kwargs
- Details
-
Duplicate Advisory
This advisory has been withdrawn because it is a duplicate of GHSA-gx7p-2j49-hfq4. This link is maintained to preserve external references.
Original Description
vLLM from 0.7.3 before 0.31.0 contains an uncontrolled resource consumption vulnerability that allows remote clients to control multimodal processor parameters by supplying per-request mm_processor_kwargs. Attackers can set large image size, patch count, crop count, or frame count values in Isaac, InternVL, H2OVL, and other processors to exhaust memory and terminate the shared server.
- Database specific
{ "cwe_ids": [ "CWE-400" ], "github_reviewed": true, "github_reviewed_at": "2026-10-23T20:58:03Z", "nvd_published_at": "2026-10-21T01:17:28Z", "severity": "HIGH" }- References
Affected packages
PyPI / vllm
Package
- Name
- vllm
- View open source insights on deps.dev
- Purl
- pkg:pypi/vllm
Affected versions
0.*
0.7.3
0.8.0
0.8.1
0.8.2
0.8.3
0.8.4
0.8.5
0.8.5.post1
0.9.0
0.9.0.1
0.9.1
0.9.2
0.10.0
0.10.1
0.10.1.1
0.10.2
0.11.0
0.11.1
0.11.2
0.12.0
0.13.0
0.14.0
0.14.1
0.15.0
0.15.1
0.16.0
0.17.0
0.17.1
0.18.0
0.18.1
0.19.0
0.19.1
0.20.0
0.20.1
0.20.2
0.21.0
0.22.0
0.22.1
0.23.0
0.24.0
0.25.0
0.25.1
0.26.0
0.27.0
0.27.1
0.28.0
0.29.0
0.30.0
0.31.0
0.32.0