CVE-2026-112304docTR through 1.1.0 Unsafe Deserialization RCE via load_pretrained_params()
Updated under an hour ago ()
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No exploitation reported and no EPSS estimate yet.
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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.
- CVSS
- 7.5 HIGH (v3.1, CNA)CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
- Weakness (CWE)
- CWE-502
- Known exploited
- Not in CISA's KEV catalog
- EPSS (exploitation in the next 30 days)
- Not loaded for this CVE
- Assigned by
- VulnCheck
- NVD analysis
- Deferred
- Record last updated
- Oct 19, 2026
- First seen by InfoSec Signals
- Oct 19, 2026
Affected products
Mindee docTR mindee:doctr (from the name) | through 1.1.0 | CNA record |
References
- https://github.com/mindee/doctr/issues/2175issue-tracking
- https://github.com/mindee/doctr/commit/687503dd15592483c4699ee51280b41938579a9epatch
- https://github.com/mindee/doctr/blob/v1.1.0/doctr/models/utils/pytorch.pytechnical-description
- https://www.vulncheck.com/advisories/doctr-through-1.1.0-unsafe-deserialization-rce-via-load-pretrained-paramsthird-party-advisory
The CVE record on cve.org NVD's entry
The CVE record is authoritative. Products marked “from the name” were identified from the CNA's free-text names, not a CPE, and are matched less certainly. This product uses the NVD API but is not endorsed or certified by the NVD.