ludwig-ai Ludwig up to 0.17.7 Archive Extraction archives.py ludwig.datasets.archives.extract_archive path traversal

Summaryinfo

A vulnerability has been found in ludwig-ai Ludwig up to 0.17.7 and classified as problematic. The affected element is the function ludwig.datasets.archives.extract_archive of the file ludwig/datasets/archives.py of the component Archive Extraction. This manipulation causes path traversal. This vulnerability appears as CVE-2026-104103. The attack may be initiated remotely. There is no available exploit. The affected component should be upgraded.

Detailsinfo

A vulnerability classified as problematic was found in ludwig-ai Ludwig up to 0.17.7. Affected by this vulnerability is the function ludwig.datasets.archives.extract_archive of the file ludwig/datasets/archives.py of the component Archive Extraction. The manipulation with an unknown input leads to a path traversal vulnerability. The CWE definition for the vulnerability is CWE-22. The product uses external input to construct a pathname that is intended to identify a file or directory that is located underneath a restricted parent directory, but the product does not properly neutralize special elements within the pathname that can cause the pathname to resolve to a location that is outside of the restricted directory. As an impact it is known to affect integrity, and availability. The summary by CVE is:

Ludwig is a low-code framework for building custom LLMs, neural networks, and other AI models. Prior to 0.17.8, ludwig.datasets.archives.extract_archive() validated tar member names before calling TarFile.extractall() but did not validate symlink members or hard-link members. A crafted archive could create a link that escaped the extraction directory and then write a later member through that link, placing attacker-controlled content at an arbitrary filesystem path with the extracting process's privileges. The same containment check used os.path.commonprefix, so a sibling path sharing the destination's character prefix could also pass. The dataset-loading path can download and extract configured archive URLs, but exploitation requires a user to process an archive from a source controlled or compromised by the attacker on supported Python 3.12 and 3.13 runtimes. Python 3.14 is not affected because its default tar data filter rejects escaping links. This issue is fixed in version 0.17.8.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-104103 since 10/01/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. It demands that the victim is doing some kind of user interaction. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1006 according to MITRE ATT&CK.

Upgrading to version 0.17.8 eliminates this vulnerability.

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Productinfo

Type

• Artificial Intelligence Software

Vendor

• ludwig-ai

Name

• Ludwig

Version

• 0.17.0
• 0.17.1
• 0.17.2
• 0.17.3
• 0.17.4
• 0.17.5
• 0.17.6
• 0.17.7

Website

• Product: https://github.com/ludwig-ai/ludwig/

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