CVE-2026-112304
docTR through 1.1.0 Unsafe Deserialization RCE via load_pretrained_params()
CVSS Score
7.5
EPSS Score
0.0%
EPSS Percentile
0th
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.
| CWE | CWE-502 |
| Vendor | mindee |
| Product | doctr |
| Published | Oct 19, 2026 |
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CVSS v3 Breakdown
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H Attack Vector
Network
Attack Complexity
High
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High
Affected Versions
Mindee / docTR
0 ≤ 1.1.0
References
github.com: https://github.com/mindee/doctr/issues/2175 github.com: https://github.com/mindee/doctr/commit/687503dd15592483c4699ee51280b41938579a9e github.com: https://github.com/mindee/doctr/blob/v1.1.0/doctr/models/utils/pytorch.py vulncheck.com: https://www.vulncheck.com/advisories/doctr-through-1.1.0-unsafe-deserialization-rce-via-load-pretrained-params
Credits
George Chen