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CVE-2026-111170: Improper Limitation of a Pathname to a Restricted Directory ('Path Traversal') in kedro-org kedro-datasets

0
High
VulnerabilityCVE-2026-111170cvecve-2026-111170
Published: 10/15/2026 (10/15/2026, 18:57:55 UTC)
Source: CVE Database V5
Vendor/Project: kedro-org
Product: kedro-datasets

Description

kedro-datasets versions 9.3.0 through 9.6.0 contain a path traversal vulnerability in the MatplotlibDataset.save() function. This flaw allows attackers with limited privileges to write files outside the intended dataset directory by providing absolute plot names. The vulnerability arises because validate_sub_path() removes leading slashes, but pathlib's join discards the base path when joining with absolute paths, enabling arbitrary file creation or overwriting where the process has write permissions.

CVSS v4.0

Score 7.1high

Attack Vector
Network
Attack Complexity
Low
Attack Requirements
None
Privileges Required
Low
User Interaction
None
Vuln. Confidentiality
None
Vuln. Integrity
High
Vuln. Availability
None
Subsq. Confidentiality
None
Subsq. Integrity
None
Subsq. Availability
None
CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:N/VI:H/VA:N/SC:N/SI:N/SA:N

Affected software

kedro-org

kedro-datasets

Affected versions
>=9.3.0 <=9.6.0
kedro-datasets
pkg:pypi/kedro-datasets
Affected versions
>=9.3.0 <=9.6.0

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 10/15/2026, 19:33:21 UTC

Technical Analysis

The vulnerability in kedro-datasets (versions 9.3.0 to 9.6.0) is a path traversal issue in the MatplotlibDataset.save() method. An attacker can supply absolute plot names to bypass directory restrictions due to improper handling of path validation. Specifically, validate_sub_path() strips leading slashes, but pathlib's join method discards the base path if the second argument is absolute, allowing file writes outside the dataset directory. This can lead to arbitrary file creation or overwriting anywhere writable by the process.

Potential Impact

An attacker with low privileges can exploit this vulnerability to write or overwrite files outside the intended dataset directory. This could lead to unauthorized file modification or creation, potentially impacting system integrity or causing denial of service depending on the files affected. The CVSS 4.0 score is 7.1 (high severity), reflecting network attack vector, low complexity, no privileges required beyond low, no user interaction, and high impact on integrity.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, avoid running kedro-datasets in environments where untrusted users can supply plot names to MatplotlibDataset.save(). Monitor vendor channels for patches or updates addressing this vulnerability.

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Technical Details

Data Version
5.2
Assigner Short Name
VulnCheck
Date Reserved
2026-10-15T17:04:06.935Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 6ad123ba2cdf04f65652b727

Added to database: 10/15/2026, 19:04:26 UTC

Last enriched: 10/15/2026, 19:33:21 UTC

Last updated: 10/15/2026, 19:33:21 UTC

Views: 9

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