What’s Vulnerable › Vulnerabilities
CVE-2026-62997: Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`
- Severity: high (CVSS 7.7 v4.0)
- Exploited in the wild: not listed in CISA KEV
- EPSS: 0.7% probability of exploitation in the next 30 days
- Public exploit or detection template: none known
- Published: 2026-09-16 · updated 2026-09-30
- Weakness: CWE-502
Description
Kedro-Datasets provides data connectors for Kedro. From version 5.0.0 until 9.5.0, kedro_datasets_experimental.pytorch.PyTorchDataset in kedro-datasets loads .pt model files with torch.load without enforcing weights_only=True, and user-supplied load_args are silently dropped. On PyTorch versions earlier than 2.6, a malicious pickle-backed model from an attacker-influenced shared registry, downloaded checkpoint, or partitioned external source can execute arbitrary code when a Kedro pipeline loads it. The issue affects only the opt-in kedro_datasets_experimental component and does not affect users who load only trusted files. This issue is fixed in version 9.5.0.
Affected products
- kedro-org kedro-plugins: from 5.0.0, < 9.5.0
References
- https://github.com/kedro-org/kedro-plugins/commit/4d6deb7a7ecba483d33fd43e2a6c063bcf22f413
- https://github.com/kedro-org/kedro-plugins/issues/1431
- https://github.com/kedro-org/kedro-plugins/pull/1433
- https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0
- https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-jrrq
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