CVE-2023-30620
Published: 21 April 2023
Summary
CVE-2023-30620 is a high-severity Path Traversal (CWE-22) vulnerability in Mindsdb Mindsdb. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 28.7% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Machine Learning Libraries.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0148
Vulnerability details
mindsdb is a Machine Learning platform to help developers build AI solutions. In affected versions an unsafe extraction is being performed using `tarfile.extractall()` from a remotely retrieved tarball. Which may lead to the writing of the extracted files to an…
more
unintended location. Sometimes, the vulnerability is called a TarSlip or a ZipSlip variant. An attacker may leverage this vulnerability to overwrite any local file which the server process has access to. There is no risk of file exposure with this vulnerability. This issue has been addressed in release `23.2.1.0 `. Users are advised to upgrade. There are no known workarounds for this vulnerability.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Machine Learning Libraries
- Risk Domain
- N/A
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: machine learning, ai
Related Threats
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Validates pathnames and filenames to prevent traversal outside intended directories.