dmlc dgl utils.py _read_torch_data deserialization (CVE-2026-94092) | HOL Guard CVE

Unknown severity · Source severity not reportedCVE-2026-94092

dmlc dgl utils.py _read_torch_data deserialization

Answer in brief

CVE-2026-94092 records a Unknown severity vulnerability in dmlc dgl utils.py _read_torch_data deserialization. The current sources do not mark it as known exploited. The current feed maps dmlc/dgl (generic). Check affected ranges and fixed versions before updating.

Analysis pending evidence review

HOL Guard separates source facts from reviewed analysis. See the methodology.

Published Sep 20, 2026Updated Sep 20, 2026Source checked Sep 20, 2026First seen by HOL Sep 20, 2026Material review Sep 20, 2026

Upstream Advisory

Key facts

Risk: Unknown severitySource severity not reported
Exploitation: Not marked as known exploited
Affected software: 1 mapped package or product
Fix availability: Not reported

Why this deserves its current priority

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.

Affected scope and exposure questions

The current feed maps dmlc/dgl (generic). Check affected ranges and fixed versions before updating.

Mapped affected packages and fixed versions
Package	Affected range	Fixed version
dmlc/dglgeneric	2.0 \|\| 2.1.0	Not reported

Recommended response

Check inventory. Check lockfiles and deployed manifests for dmlc/dgl.
Review the reported fix. Monitor this advisory for an available fix and review any installs of the affected package.

Evidence timeline and material changes

Published upstream
Sep 20, 2026
Evidence: source:cvelist:source_dates:source-dates:record
Source modified
Sep 20, 2026
Evidence: source:cvelist:source_dates:source-dates:record
First seen by HOL
Sep 20, 2026

Sources and claim methodology

Upstream source description

A vulnerability was detected in dmlc dgl up to 2.1.0. This impacts the function load_info/_read_torch_data of the file utils.py. Performing a manipulation of the argument path results in deserialization. The attack can be initiated remotely. The exploit is now public and may be used. The project was informed of the problem early through an issue report but has not responded yet.

Quoted source text, attributed separately from HOL analysis.