CVE-2026-112304
docTR through 1.1.0 Unsafe Deserialization RCE via load_pretrained_params()
Mindee docTR
CVSS
7.7HighExploitationPublic exploit codeCISA's assessment says proof of concept code is public, assessed 22 Oct 2026. Not in the KEV catalogCISA via CVE List
Exploit odds (EPSS)0.29%Chance of exploitation activity in the next 30 days, higher than 20% of CVEs. Scored 23 Oct 2026FIRST EPSS
Fixed inNone listedNo source names a fixed version. Check the vendor advisory below
What fixes it
No source in this snapshot names a fixed version. The vendor advisories under References are the place to check.
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.
Text from CVE List
Affected versions 1
- docTRaffected: all versions through 1.1.0CVE List
References 4
- github.com/mindee/doctr/commit/687503dd15592483c4699ee51280b41938579a9eFixvia CVE List
- vulncheck.com/advisories/doctr-through-1.1.0-unsafe-deserialization-rce-via-load-pretrained-paramsAdvisoryvia CVE List
- github.com/mindee/doctr/issues/2175Exploitvia CVE List
- github.com/mindee/doctr/blob/v1.1.0/doctr/models/utils/pytorch.pyReferencevia CVE List