Path Traversal in Ludwig-Ai Ludwig
CVE-2026-104103
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.
Vulnerability class: Path Traversal (Directory Traversal)
Published .
CVSS v3 metric
CVSS v3 base score 8.1 (High). Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:H/A:H.
EPSS exploit prediction
No EPSS score from FIRST.org yet. New CVEs usually get one within a few days; no score means no signal yet, not low risk. How EPSS works.
Affected products
- Ludwig-Ai Ludwig — versions < 0.17.8
Weakness classification (CWE)
References
Frequently asked questions
- What is CVE-2026-104103?
- CVE-2026-104103 is a high-severity vulnerability in Ludwig-Ai Ludwig, classified under Path Traversal. CVSS score: 8.1/10. Published 2026-10-14.
- How severe is CVE-2026-104103?
- High severity. CVSS v3 base score is 8.1 out of 10.