CVE-2026-112304

Published: Oct 19, 2026Modified: Oct 22, 2026Deferred

7.7

Vector

CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:XShow less

Source: disclosure@vulncheck.com (Secondary)

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.

Related CWEs

CWE-502

Deserialization of Untrusted Data

The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid.

References (5)

https://github.com/mindee/doctr/blob/v1.1.0/doctr/models/utils/pytorch.py

Source: disclosure@vulncheck.com

https://github.com/mindee/doctr/commit/687503dd15592483c4699ee51280b41938579a9e

Source: disclosure@vulncheck.com

https://github.com/mindee/doctr/issues/2175

Source: disclosure@vulncheck.com

https://www.vulncheck.com/advisories/doctr-through-1.1.0-unsafe-deserialization-rce-via-load-pretrained-params

Source: disclosure@vulncheck.com

https://github.com/mindee/doctr/issues/2175

Source: 134c704f-9b21-4f2e-91b3-4a467353bcc0

Timeline

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