CVE-2023-6709
Published: 12 December 2023
Summary
CVE-2023-6709 is a high-severity Improper Neutralization of Special Elements Used in a Template Engine (CWE-1336) vulnerability in Lfprojects Mlflow. Its CVSS base score is 8.8 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 49.9th 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: Adversarial AI Attack Implementations (AML.T0016.000), Invert AI Model (AML.T0024.001), Hardware (AML.T0010.000).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0162
Vulnerability details
Improper Neutralization of Special Elements Used in a Template Engine in GitHub repository mlflow/mlflow prior to 2.9.2.
- 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
- MLflow is an open-source platform for managing the machine learning lifecycle, including experiment tracking, reproducibility, deployment, and model registry, fitting under 'Other Platforms'. The vulnerability is a template engine issue (likely SSTI) in this ML platform.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
CVE-2023-6709 is an improper neutralization of special elements in MLflow's template engine, enabling Template Injection (T1221) for potential RCE and exploitation of a public-facing application (T1190).
MITRE ATLAS TechniquesAI
MITRE ATLAS techniques
Affected Assets
Mitigating Controls
No mitigating controls mapped yet. The per-CVE control annotator has not reached this CVE.