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Vulnerability · Published Sep 16, 2026 · Assigned by GitHub_M

CVE-2026-62997Kedro-Datasets: Remote code execution in experimental `PyTorchDataset` via unsafe `torch.load`

High 7.7

In plain English

A high-severity unsafe deserialization in kedro-plugins from kedro-org. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.7% (higher than 53% of all known vulnerabilities).

Severity (CVSS 4.0)7.7High
Exploit odds (30 days)0.7%top 47.2% of all CVEs
Exploited in the wildNo reportsCISA SSVC: none
Attack toolingNoneno public tooling known

Official 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 (as reported)

VendorProductVersions
kedro-org kedro-plugins >= 5.0.0, < 9.5.0

Weakness: CWE-502 · Vector: CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:P/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

References