๐Ÿ” CVE Alert

CVE-2026-104103

HIGH 8.1

Ludwig: Path traversal in dataset archive extraction allows arbitrary file write via symlink members

CVSS Score
8.1
EPSS Score
0.0%
EPSS Percentile
0th

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.

CWE CWE-22 CWE-59
Vendor ludwig-ai
Product ludwig
Published Oct 14, 2026
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CVSS v3 Breakdown

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H
Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
Required
Scope
Unchanged
Confidentiality
None
Integrity
High
Availability
High

Affected Versions

ludwig-ai / ludwig
< 0.17.8

References

NVD โ†— CVE.org โ†— EPSS Data โ†—
github.com: https://github.com/ludwig-ai/ludwig/security/advisories/GHSA-qvrm-3x4c-rcxf github.com: https://github.com/ludwig-ai/ludwig/commit/7f534f31e725cc5362c8f6f85537488443de279a github.com: https://github.com/ludwig-ai/ludwig/releases/tag/v0.17.8