CVE-2026-112304 | BDVDB-2026-391685 Detail
MindeedocTR
Description#
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.
Impact#
Per CVSS v3.1: confidentiality impact high, integrity impact high, availability impact high. Attack vector: network.
Weaknesses#
- CWE-502 Deserialization of Untrusted Data
References#
- https://github.com/mindee/doctr/issues/2175
- https://github.com/mindee/doctr/commit/687503dd15592483c4699ee51280b41938579a9e
- https://github.com/mindee/doctr/blob/v1.1.0/doctr/models/utils/pytorch.py
- https://www.vulncheck.com/advisories/doctr-through-1.1.0-unsafe-deserialization-rce-via-load-pretrained-params
Exploit#
No public exploit known
History#
- Version 1Record published in the CVE List.
- Version 2Most recent update recorded in the CVE List.