Vulnerability · CVE-2026-111170
kedro-datasets has a path traversal vulnerability in PartitionedDataset that allows arbitrary file write
Published Apr 6, 2026 · corrected/updated Oct 16, 2026 · evidence confidence high
### Impact PartitionedDataset in kedro-datasets was vulnerable to path traversal. Partition IDs were concatenated directly with the dataset base path without validation. An attacker or malicious input containing .. components in a partition ID could cause files to be written outside the configured dataset directory, potentially overwriting arbitrary files on the filesystem. Users of PartitionedDataset with any storage backend (local filesystem, S3, GCS, etc.) are affected. ### Patches Yes. The vulnerability has been patched in kedro-datasets version 9.3.0. Users should upgrade to kedro-datasets >= 9.3.0. The fix normalizes constructed paths using and validates that the resolved path remains within the dataset base directory before use, raising a if the path escapes the base directory. ### Workarounds Users who cannot upgrade should validate partition IDs before passing them to PartitionedDataset, ensuring they do not contain path components. ### References Fix: https://github.com/kedro-org/kedro-plugins/pull/1346 Report: https://github.com/kedro-org/kedro/issues/5452
Grounded briefings
Catalog interpretations for three audiences. Each brief cites ingested metadata and the original advisories below. They are not independent research and they do not invent exploit steps.
Executive
CVE-2026-111170 is a high public vulnerability record for this product. It is not currently listed in the CISA Known Exploited catalog. Check the linked vendor or CERT advisories for patch status. This summary is a catalog interpretation of the ingested metadata and cites the original advisories below.
System administrator
Identify whether this product is in your estate, then compare installed versions with the affected ranges. Affected packages or ranges on record: kedro-datasets (0 → 9.3.0). Check the linked vendor or CERT advisories for patch status. Prefer the vendor or distribution advisory linked in Sources before changing production systems. This is a catalog interpretation, not a runbook.
Security analyst
Signals on file: CVSS 7.1, EPSS 0.4%. It is not currently listed in the CISA Known Exploited catalog. Weakness classes: CWE-22. Sources contributing to this record: cve_org, epss, github, nvd. Public exploit references, when present, are outbound links only and are not proof of active exploitation. This is a catalog interpretation of stored metadata.
Exploitation and remediation
Exploitation evidence
Not listed as known exploited in CISA KEV. Not in CISA KEV or VulnCheck KEV.
Patch and remediation
No required-action text is stored yet. Use the vendor or CERT links in Sources for patch availability.
Safe detection guidance
Compare installed versions with the affected ranges below and verify the advisory from the original publisher. This site stores metadata and outbound links only; it does not ship exploit code or proof-of-concept payloads.
Code
The project this record applies to. Exploit listings stay in References.
Timeline
Detection, updates, and resolution for this record.
Oct 15, 2026 · NIST NVD
Detected
kedro-datasets from 9.3.0 through 9.6.0 contains a path traversal vulnerability in MatplotlibDataset.save() that allows attackers to write files outside the dataset directory by supplying absolute plot names. Because validate_sub_path() strips leading slashes while pathlib's join discards the base path, attackers can create or overwrite files anywhere the process can write.
Oct 16, 2026 · GitHub Advisory Database
Fix available
kedro-datasets fixed in 9.3.0
Oct 16, 2026 · GitHub Advisory Database
Fix available
kedro-datasets fixed in 9.3.0
Oct 16, 2026 · GitHub Advisory Database
Updated
### Impact PartitionedDataset in kedro-datasets was vulnerable to path traversal. Partition IDs were concatenated directly with the dataset base path without validation. An attacker or malicious input containing .. components in a partition ID could cause files to be written outside the configured dataset directory, potentially overwriting arbitrary files on the filesystem. Users of PartitionedDat
Affected
- PyPI kedro-datasets0 → 9.3.0
Sources
- CVE.orgVulnerability recordCVE-2026-111170
Official CVE identifier
cve.org - FIRST EPSSExploitation probabilityCVE-2026-111170
30-day exploitation probability 0.4%
first.org - GitHub Advisory DatabasePackage advisoryGHSA-cjg8-h5qc-hrjv
GitHub Advisory Database record mirrored by OSV.
github.com - NIST NVDVulnerability recordCVE-2026-111170
kedro-datasets from 9.3.0 through 9.6.0 contains a path traversal vulnerability in MatplotlibDataset.save() that allows attackers to write files outside the dataset directory by supplying absolute plot names. Because validate_sub_path() strips leading slashes while pathlib's join
nvd.nist.gov - OpenSSF OSV / OSV ScannerPackage advisoryGHSA-cjg8-h5qc-hrjv
kedro-datasets has a path traversal vulnerability in PartitionedDataset that allows arbitrary file write
osv.dev - OpenSSF OSV / OSV ScannerPackage advisoryPYSEC-2026-2545
kedro-datasets has a path traversal vulnerability in PartitionedDataset that allows arbitrary file write
osv.dev - PyPA Advisory DatabasePackage advisoryGHSA-cjg8-h5qc-hrjv
kedro-datasets has a path traversal vulnerability in PartitionedDataset that allows arbitrary file write
osv.dev - PyPA Advisory DatabasePackage advisoryPYSEC-2026-2545
kedro-datasets has a path traversal vulnerability in PartitionedDataset that allows arbitrary file write
osv.dev