CVE-2026-112304

EUVD-2026-104396
docTR through 1.1.0 contains an unsafe deserialization vulnerability in load_pretrained_params() that loads checkpoints with torch.load without weights_only=True. Attackers who control a local or URL-supplied checkpoint can embed a malicious pickle payload to execute Python code with the loading process's privileges on torch releases before 2.6.
ProviderTypeBase ScoreAtk. VectorAtk. ComplexityPriv. RequiredVector
NISTPrimary
7.5 HIGH
NETWORK
HIGH
NONE
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
Awaiting analysis
This vulnerability is currently awaiting analysis.
Base Score
CVSS 3.x
EPSS Score
Percentile: 20.39%
Common Weakness Enumeration
References
https://github.com/mindee/doctr/blob/v1.1.0/doctr/models/utils/pytorch.py
https://github.com/mindee/doctr/commit/687503dd15592483c4699ee51280b41938579a9e
https://github.com/mindee/doctr/issues/2175
https://www.vulncheck.com/advisories/doctr-through-1.1.0-unsafe-deserialization-rce-via-load-pretrained-params
https://github.com/mindee/doctr/issues/2175