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AI Audit Reveals 990 Vulnerabilities in South Korea's e-Government Software

AI Audit Reveals 990 Vulnerabilities in South Korea's e-Government Software

First seen 14 Jul 2026, 09:39 UTC • •

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ThreatCluster AI
ThreatCluster •July 15, 2026 at 08:30 UTC
  • •Project Canopy identified 990 vulnerabilities in South Korea's e-Government software.
  • •10% of the vulnerabilities are classified as critical or high severity.
  • •The eGovFrame's architecture complicates patch propagation, increasing systemic risk.

An AI-driven security project, Project Canopy, analyzed South Korea's e-Government Standard Framework (eGovFrame) and identified 990 security vulnerabilities. The project, initiated by Project Plasma, detected over 1,300 potential vulnerabilities, filtering them down to the final count. Among these, 10% were deemed critical or high severity, including issues like authentication bypass, SQL injection, and file exfiltration. The eGovFrame's architecture complicates patching, leading to potential 'patch isolation' where updates fail to reach operational systems. Project Canopy aims to establish a collaboration framework for effective vulnerability remediation and supply chain security. The results are based on refined data, not raw outputs from AI models, ensuring accuracy in vulnerability identification. Park Se-jun, Chairman of Project Canopy, urged affected organizations to take immediate action based on the findings.

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Timeline

2026-07-14
Project Canopy releases vulnerability analysis
Project Canopy published findings revealing 990 vulnerabilities in the eGovFrame, urging immediate remediation by affected organizations.
Finance.Biggo
2026-07-14
Project Plasma announces collaboration plans
The initiative plans to establish a system connecting vulnerability detection with actual patching and supply chain propagation.
Mk.Co.Kr

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