High severity · published Sep 16, 2026
CVE-2026-62997
Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`
7.7
CVSS
0.7%
EPSS
No
On KEV
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.
Exploitation
Is it being used?
Exploit prediction (EPSS)0.7% · higher than 52% of CVEs
Exploited in the wildNo evidence yet
CISA KEVNot listed
Ransomware campaign useNot known
Affected products
Which versions
KE
kedro-plugins · kedro-org
>= 5.0.0, < 9.5.0 · source: vendor
References
NVD
https://nvd.nist.gov/vuln/detail/CVE-2026-62997
CVE.org
https://www.cve.org/CVERecord?id=CVE-2026-62997
github.com
https://github.com/kedro-org/kedro-plugins/commit/4d6deb7a7ecba483d33fd43e2a6c063bcf22f413
github.com
https://github.com/kedro-org/kedro-plugins/issues/1431
github.com
https://github.com/kedro-org/kedro-plugins/pull/1433
github.com
https://github.com/kedro-org/kedro-plugins/releases/tag/kedro-datasets-9.5.0
github.com
https://github.com/kedro-org/kedro-plugins/security/advisories/GHSA-f9q4-h45w-jrrq
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