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TI-2020-15558 Aliases CVE-2020-25459GHSA-72c2-p2mr-mqr3

An issue was discovered in function sync_tree in hetero_decision_tree_guest.py in WeBank…

Priority LOW 35CWE-668Published · Updated

Key facts

Attack vector
Network
Privileges required
None
User interaction
None
Attack complexity
Low
Impact type
Information disclosure
Confidentiality · integrity · availability
High · None · None
Fix status
No fix listed

Attack profile from CVSS 3.1 · NVD. Fix status from CNA. Impact type from CWE-668 and the CVSS impact.

Summary

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.

Why it matters now

EPSS 0.01045 64th percentileScored 2026-11-07
Fix No fix listed No fixed version in the sources yet

SSVC decision points

Not available: CISA has not published SSVC decision points for this record.

Affected products

VendorProductAffected versionsFixed inStatusSource
——all versions—No fix listedCNA
  • — Vendor— Affected all versions Fixed in — No fix listed CNA

CPE configurations NVD · 1

CPEVersionsRoleVendor
cpe:2.3:a:webank:federated_ai_technology_enabler:*:*:*:*:*:*:*:*0.1 – 1.4.2VulnerableWebank
  • cpe:2.3:a:webank:federated_ai_technology_enabler:*:*:*:*:*:*:*:* Versions 0.1 – 1.4.2 Vulnerable ·Webank

Remediation

No fixed version listed by the sources yet.

Timeline

  1. 2026-10-02 Threatist record created from CVE-2020-25459
  2. 2026-10-03 Alias added: GHSA-72c2-p2mr-mqr3

References

Patch 1

Sources

This product uses the NVD API but is not endorsed or certified by the NVD. Sources and licences