What’s Vulnerable › Vulnerabilities

CVE-2026-112304: docTR through 1.1.0 Unsafe Deserialization RCE via load_pretrained_params()

• Severity: high (CVSS 7.5 v3.1)
• Exploited in the wild: not listed in CISA KEV
• EPSS: 0.4% probability of exploitation in the next 30 days
• Public exploit or detection template: none known
• Published: 2026-10-19 · updated 2026-10-22
• Weakness: CWE-502

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.

Affected products

• Mindee docTR: through 1.1.0

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
• https://github.com/mindee/doctr/issues/2175

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