CVE-2020-25459
Published: 16 June 2022
Summary
CVE-2020-25459 is a high-severity Exposure of Resource to Wrong Sphere (CWE-668) vulnerability in Webank Federated Ai Technology Enabler. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 44.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Machine Learning Libraries.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2020-18145
Vulnerability details
An issue was discovered in function sync_tree in hetero_decision_tree_guest.py in WeBank FATE (Federated AI Technology Enabler) 0.1 through 1.4.2 allows attackers to read sensitive information during the training process of machine learning joint modeling.
- 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: ai, 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.
Controls whether organization resources are exposed to external system spheres by permitting or prohibiting their use.
The control ensures information is not released into a security sphere where the recipient lacks matching access authorizations.
The control ensures information resources are not exposed to the incorrect (public) sphere through review and authorization.
Protects against data mining that would expose resources to unauthorized spheres by enforcing detection and controls.
Restricts information flows to ensure resources are not exposed to incorrect or unauthorized spheres.
Controlling internal connections prevents exposure of resources to unintended internal spheres.
Knowing exact processing and storage locations helps avoid exposure of resources to incorrect spheres.
The control prevents exposure of the media resource to the wrong security sphere.