CVE-2024-0917
Published: 07 March 2024
Summary
CVE-2024-0917 is a critical-severity Code Injection (CWE-94) vulnerability in Paddlepaddle Paddlepaddle. Its CVSS base score is 9.8 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 16.7% 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 Deep Learning Frameworks; in the Other ATLAS/OWASP Terms risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-0971
Vulnerability details
remote code execution in paddlepaddle/paddle 2.6.0
- CWE(s)
AI Security AnalysisAI
- AI Category
- Deep Learning Frameworks
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- PaddlePaddle (paddlepaddle/paddle) is an open-source deep learning framework developed by Baidu, and the vulnerability is a remote code execution issue in version 2.6.0, confirmed via AI/ML bug bounty platform Huntr.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
CVE-2024-0917 enables remote code execution in PaddlePaddle 2.6.0, facilitating exploitation of public-facing applications for initial access.
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.
Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.
Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.
Validates inputs used in dynamic code generation to block injected directives.
Directly prevents execution of attacker-supplied code written into data memory regions.