CVE-2026-62997

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

HIGH
7.7
CVSS Score
Published: September 16, 2026 at 08:48 PM UTC
Updated: September 30, 2026 at 05:51 PM UTC
1 product affected across 1 vendorKedro Plugins

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Severity
HIGH7.7
Exploit prediction
EPSS 0.7%
SSVC
No known exploit

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

Our own answer: ranges merged, affected separated from platform-only, with confidence and review flags.

v < 9.5.0
Affected range stops below 9.5.0, so it looks safe — our inference, not a vendor statement

Remediation

No guide yet

No remediation guidance has been written for this CVE yet, and no fixed version or vendor advisory is recorded against it.

SSVC — Action Prioritization

SSVCNo known exploitNot automatableTotal impact

SSVC signals action urgency (what to patch first), separate from CVSS which measures severity.

CVSS

7.7HIGHGitHub_M
Vector?

Quick Info

StatusDEFERRED
CWE
CWE-502

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