CVE-2026-112304
7.5 HIGHpublic exploit availablePublished 2026-10-19 · Updated 2026-10-19
AI analysis for this CVE has not been generated yet. Raw NVD data is shown below.
NVD 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.
CVSS vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H
Weaknesses
CWE-502
Public exploit & PoC references
All references
- https://github.com/mindee/doctr/blob/v1.1.0/doctr/models/utils/pytorch.py
- https://github.com/mindee/doctr/commit/687503dd15592483c4699ee51280b41938579a9e
- https://github.com/mindee/doctr/issues/2175
- https://www.vulncheck.com/advisories/doctr-through-1.1.0-unsafe-deserialization-rce-via-load-pretrained-params
Source data: NVD (nvd.nist.gov), public domain. Exploit-DB.ai adds local AI analysis for defensive use only.
Related CVEs
- CRITICALCVE-2017-20285PoC
- HIGHCVE-2019-25777PoC
- CRITICALCVE-2025-59953PoC
- UNSCOREDCVE-2025-64393
- CRITICALCVE-2025-66455PoC
- HIGHCVE-2026-100214
- HIGHCVE-2026-100308PoC
- HIGHCVE-2026-100506
Related by shared AI tags and CWE weakness class. Browse the full archive.