CVE-2021-43775
Published: 23 November 2021
Summary
CVE-2021-43775 is a high-severity Path Traversal (CWE-22) vulnerability in Aimstack Aim. Its CVSS base score is 8.6 (High).
Operationally, ranked in the top 36.1% 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-2021-0002
Vulnerability details
Aim is an open-source, self-hosted machine learning experiment tracking tool. Versions of Aim prior to 3.1.0 are vulnerable to a path traversal attack. By manipulating variables that reference files with “dot-dot-slash (../)” sequences and its variations or by using absolute…
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file paths, it may be possible to access arbitrary files and directories stored on file system including application source code or configuration and critical system files. The vulnerability issue is resolved in Aim v3.1.0.
- 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.