CVE-2026-94092: dmlc dgl · Deserialization
Affects dmlc dglSource CVE Database V5
Public exploit available · CVSS 5.1 Medium.
Data as of 5 Nov 2026, 00:01 UTC
- EPSS
- 0.3% chance of exploitation in 30 days – higher than 27% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:PExploitation evidence
Disclosed: evidence found.
CVE published 20 Sep 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: evidence found.
CVSS exploit maturity: proof of concept public
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), CVSS vector, the Metasploit, Exploit-DB and nuclei-templates index as of 5 Nov 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
| dmlcdgl | Affected
| Fixed in– |
PyPIdglpkg:pypi/dglOther threats | Affected
| Fixed in– |
CPE configurations (1)
cpe:2.3:a:dmlc:dgl:*:*:*:*:*:*:*:*
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
Users should monitor the vendor's communications for updates. Until a fix is provided, avoid exposing the vulnerable function to untrusted input or restrict access to trusted users only.
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.