CVE Catalog

CVE-2026-62997

HighCVSS 7.7
Published: Updated: Translated: NVD NIST

Exploitation Probability (EPSS)

Elevated risk
0.69%

51th percentile - higher than 51% of all known CVEs

Summary

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.

Risk Assessment

An attacker can supply a malicious model file via a shared registry, checkpoint, or external source and achieve code execution in the environment running the Kedro pipeline. The issue affects only the opt-in experimental component.

Recommendation

Update kedro-datasets to version 9.5.0 or later. Load only trusted model files and consider upgrading PyTorch to version 2.6 or later.

Other vulnerabilities in Kedro-Datasets

Original NVD description (English source)

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.

Vulnerability data from NVD (NIST) · CISA KEV · EPSS