Answer in brief
CVE-2026-86288 records a Unknown severity vulnerability in ModelCloud GPTQModel Triton dequantization kernel tritonv2.py out-of-bounds. The current sources do not mark it as known exploited. The current feed maps ModelCloud/GPTQModel (generic). Check affected ranges and fixed versions before updating.
Analysis pending evidence review
HOL Guard separates source facts from reviewed analysis. See the methodology.
A CVSS score is not reported in the current record. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.
Analysis status
Analysis pending evidence review
Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.
The current feed maps ModelCloud/GPTQModel (generic). Check affected ranges and fixed versions before updating.
| Package | Affected range | Fixed version |
|---|---|---|
| ModelCloud/GPTQModelgeneric | 7.0 || 7.1 || 7.2.0 | Not reported |
Published upstream
Sep 7, 2026
Evidence: source:cvelist:source_dates:source-dates:recordSource modified
Sep 7, 2026
Evidence: source:cvelist:source_dates:source-dates:recordFirst seen by HOL
Sep 7, 2026
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.
Quoted source text, attributed separately from HOL analysis.