CVE-2022-23522
Published: 30 March 2023
Summary
CVE-2022-23522 is a high-severity Path Traversal (CWE-22) vulnerability in Mindsdb Mindsdb. Its CVSS base score is 8.5 (High).
Operationally, ranked in the top 38.7% 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-2023-0147
Vulnerability details
MindsDB is an open source machine learning platform. An unsafe extraction is being performed using `shutil.unpack_archive()` from a remotely retrieved tarball. Which may lead to the writing of the extracted files to an unintended location. This vulnerability is sometimes called…
more
a **TarSlip** or a **ZipSlip variant**. Unpacking files using the high-level function `shutil.unpack_archive()` from a potentially malicious tarball without validating that the destination file path remained within the intended destination directory may cause files to be overwritten outside the destination directory. An attacker could craft a malicious tarball with a filename path, such as `../../../../../../../../etc/passwd`, and then serve the archive remotely using a personal bucket `s3`, thus, retrieve the tarball through **mindsdb** and overwrite the system files of the hosting server. This issue has been addressed in version 22.11.4.3. Users are advised to upgrade. Users unable to upgrade should avoid ingesting archives from untrusted sources.
- 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
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.