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Medium 6.3Published Sep 7, 2026

CVE-2026-86288ModelCloud GPTQModel Triton dequantization kernel tritonv2.py out-of-bounds

Updated under an hour ago ()

Does this affect you?

It affects ModelCloud GPTQModel. Add what you run to find out whether that includes you.

No exploitation reported and no EPSS estimate yet.

A vulnerability has been found in ModelCloud GPTQModel up to 7.2.0. This vulnerability affects unknown code of the file gptqmodel/nn_modules/qlinear/tritonv2.py of the component Triton dequantization kernel. Such manipulation of the argument g_idx leads to out-of-bounds read. The attack can be executed remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 7.3.0 is able to resolve this issue. The name of the patch is 877c732f7d7dccd56a729844c6a5bd20f3aa8bb1. Upgrading the affected component is recommended.

CVSS
6.3 MEDIUM (v3.1, CNA)CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:L/A:L/E:P/RL:O/RC:C
Weakness (CWE)
CWE-125, CWE-119
Known exploited
Not in CISA's KEV catalog
EPSS (exploitation in the next 30 days)
Not loaded for this CVE
Assigned by
VulDB
NVD analysis
Deferred
Record last updated
Sep 8, 2026
First seen by InfoSec Signals
Oct 9, 2026

Affected products

Affected products
ModelCloud GPTQModel
modelcloud:gptqmodel
7.0; 7.1; 7.2.0; 7.3.0 not affected
CNA record

References

  • vdb-entry, technical-description
  • signature, permissions-required
  • third-party-advisory
  • third-party-advisory
  • exploit, issue-tracking
  • issue-tracking, patch
  • patch
  • patch
  • product

The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.

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