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2 vulnerabilities by ludwig-ai
CVE-2026-104103 (GCVE-0-2026-104103)
Vulnerability from nvd – Published: 2026-10-14 18:09 – Updated: 2026-10-15 15:06
VLAI
EPSS
VEX
Title
Ludwig: Path traversal in dataset archive extraction allows arbitrary file write via symlink members
Summary
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.
Severity
8.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-15 13:52 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/ludwig-ai/ludwig/security/advi… | x_refsource_CONFIRM |
| https://github.com/ludwig-ai/ludwig/commit/7f534f… | x_refsource_MISC |
| https://github.com/ludwig-ai/ludwig/releases/tag/… | x_refsource_MISC |
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CVE-2026-104103 (GCVE-0-2026-104103)
Vulnerability from cvelistv5 – Published: 2026-10-14 18:09 – Updated: 2026-10-15 15:06
VLAI
EPSS
VEX
Title
Ludwig: Path traversal in dataset archive extraction allows arbitrary file write via symlink members
Summary
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.
Severity
8.1 (High)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-10-15 13:52 UTC
CWE
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/ludwig-ai/ludwig/security/advi… | x_refsource_CONFIRM |
| https://github.com/ludwig-ai/ludwig/commit/7f534f… | x_refsource_MISC |
| https://github.com/ludwig-ai/ludwig/releases/tag/… | x_refsource_MISC |
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