Vulnerability · Published Oct 14, 2026 · Assigned by GitHub_M
CVE-2026-104103Ludwig: Path traversal in dataset archive extraction allows arbitrary file write via symlink members
High 8.1
In plain English
A high-severity path traversal in ludwig from ludwig-ai. There are no confirmed reports of exploitation so far. The chance it is exploited in the next 30 days is estimated at 0.5% (higher than 42% of all known vulnerabilities).
Official description
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.
Affected products (as reported)
Weakness: CWE-22, CWE-59 · Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H
References
- https://github.com/ludwig-ai/ludwig/security/advisories/GHSA-qvrm-3x4c-rcxf x_refsource_CONFIRM
- https://github.com/ludwig-ai/ludwig/commit/7f534f31e725cc5362c8f6f85537488443de279a x_refsource_MISC
- https://github.com/ludwig-ai/ludwig/releases/tag/v0.17.8 x_refsource_MISC