Deserialization in Mindee Doctr
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=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.
Vulnerability class: Insecure Deserialization
Published · last modified .
CVSS v3 metric
CVSS v3 base score 7.5 (High). Vector: CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H.
EPSS exploit prediction
No EPSS score from FIRST.org yet. New CVEs usually get one within a few days; no score means no signal yet, not low risk. How EPSS works.
Affected products
Weakness classification (CWE)
References
- github.com/mindee/doctr/issues/2175 (issue-tracking)
- github.com/mindee/doctr/commit/687503dd15592483c4699ee51280b41938579a9e (patch)
- github.com/mindee/doctr/blob/v1.1.0/doctr/models/utils/pytorch.py (technical-description)
- www.vulncheck.com/advisories/doctr-through-1.1.0-unsafe-deserialization-rce-via… (third-party-advisory)
Frequently asked questions
- What is CVE-2026-112304?
- CVE-2026-112304 is a high-severity vulnerability in Mindee Doctr, classified under Deserialization of Untrusted Data. CVSS score: 7.5/10. Published 2026-10-19.
- How severe is CVE-2026-112304?
- High severity. CVSS v3 base score is 7.5 out of 10.