CVE-2024-24594
Published: 06 February 2024
Summary
CVE-2024-24594 is a critical-severity Cross-site Scripting (CWE-79) vulnerability in Clear Clearml. Its CVSS base score is 9.9 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique JavaScript (T1059.007); ranked at the 18.6th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Other Platforms; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: AI Supply Chain Compromise (AML.T0010), Obtain Capabilities (AML.T0016), Exfiltration via AI Inference API (AML.T0024).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-21996
Vulnerability details
A cross-site scripting (XSS) vulnerability in all versions of the web server component of Allegro AI’s ClearML platform allows a remote attacker to execute a JavaScript payload when a user views the Debug Samples tab in the web UI.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- ClearML is a Machine Learning Operations (MLOps) platform for managing ML projects, datasets, experiments, and models, fitting under Other Platforms as an MLOps tool integrating with ML frameworks.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The XSS vulnerability in ClearML's web UI enables JavaScript execution in victims' browsers (T1059.007), exploitation of a public-facing web application (T1190), and theft of web session cookies via injected payloads (T1539).
MITRE ATLAS TechniquesAI
MITRE ATLAS techniques
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.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.