Vulnerability · CVE-2026-111170
kedro-datasets has a path traversal vulnerability in PartitionedDataset that allows arbitrary file write
Published Apr 6, 2026 · catalog updated Oct 16, 2026 · kedro-datasets has a path
Check if you run it
No confirmed exploitation is on record for CVE-2026-111170. EPSS is 0.39%. Act only if a listed version of kedro-datasets has a path is installed.
Gaps on this record
- The stored product name is a package slug. The name on this page is taken from the title (kedro-datasets has a path).
- No vendor fix or required action is stored. Compare the linked advisory before you change production.
- Severity
- High7.1
- Known exploitation
- Not in CISA/VulnCheck KEV
- EPSS
- 0.39%
- Remediation
- Advisory link
- Affected products
- PyPI kedro-datasets
### 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
Are you affected?
Enter the version you run. The result uses only the ranges stored on this record.
The check returns affected, not affected, or incomplete. It does not guess a version that is missing from the record.
- PyPI kedro-datasets0 → 9.3.0
How to fix CVE-2026-111170
Recommended remediation
A patch or advisory reference is linked. Open the original publisher for availability by product version.
Official advisories
What to do
Three questions, each answered from this record only. Confirm the vendor advisory before you patch.
Should you patch?
No confirmed exploitation is on record for CVE-2026-111170. EPSS is 0.39%. Act only if a listed version of kedro-datasets has a path is installed.
Which versions are affected?
Compare what you have installed with 0 → 9.3.0. Compare the installed version with the linked vendor advisory before you change production.
What should an analyst verify?
CWE-22: Path Traversal. EPSS 0.39%. There is no CISA KEV listing. No Exploit-DB or Metasploit reference is linked. Use the source links for the original advisory.
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
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
References
Freshness
Last verified in this catalog Oct 18, 2026. Significant claims (KEV, EPSS, CVSS, affected ranges) come from the source rows above — open the original publisher for the authoritative advisory.