HIGH 7.7 NVD
CVE-2026-112304
docTR through 1.1.0 contains an unsafe deserialization vulnerability in load_pretrained_params() that loads checkpoints with torch.load without weights_only=Tru
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.
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-lo
This high severity vulnerability with a CVSS score of 7.7 was published on 2026-10-19 via NVD.
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