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Analyze » National Security Council, Taiwan » NAT1767647348

Incident Score: Analysis & Impact (NAT1767647348)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-20
Company Score Before Incident810 / 1000
Company Score After Incident790 / 1000
INCIDENT NUMBERNAT1767647348
Type of Cyber IncidentCyber Attack
ATTACK VECTORNetwork infiltration, Telecommunications compromise, Hybrid warfare coordination
DATA EXPOSEDAdvanced technology (semiconductor industry), telecommunications...
INCIDENT DATE03/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of National Security Council, Taiwan's Cyber Attack and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts National Security Council, Taiwan Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the National Security Council, Taiwan breach identified under incident ID NAT1767647348.

The analysis begins with a detailed overview of National Security Council, Taiwan's information like the linkedin page: https://www.linkedin.com/company/national-security-council-taiwan, the number of followers: 0, the industry type: Government Administration and the number of employees: 12 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 810 and after the incident was 790 with a difference of -20 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on National Security Council, Taiwan and their customers.

On 04 January 2026, Taiwan Government disclosed DDoS, Man-in-the-Middle and Data Theft issues under the banner "China-Linked Cyber Attacks on Taiwan's Critical Infrastructure (2025)".

Cyber attacks linked to China against Taiwan's vital infrastructure increased sharply in 2025, averaging 2.63 million attacks per day.

The disruption is felt across the environment, affecting Energy sector, Emergency services and Hospitals, and exposing Advanced technology (semiconductor industry), telecommunications data.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing, teams are taking away lessons such as China's hybrid warfare strategy integrates cyber attacks with military and political pressure to destabilize Taiwan. Critical infrastructure and high-value industries (e.g., semiconductors) are prime targets for technological theft and disruption, and recommending next steps like Enhance cybersecurity measures for critical infrastructure sectors, Improve coordination between military, government, and private sector for hybrid threat response and Strengthen monitoring and detection capabilities for synchronized cyber-physical attacks, with advisories going out to stakeholders covering Government agencies and critical infrastructure operators in Taiwan advised to heighten cybersecurity posture and prepare for synchronized hybrid threats.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating network infiltration targeting critical infrastructure sectors and Trusted Relationship (T1199) with moderate confidence (60%), supported by evidence indicating hybrid warfare coordination with military exercises. Under the Impact tactic, the analysis identified Network Denial of Service (T1498) with high confidence (90%), supported by evidence indicating dDoS disruptions targeting energy, emergency services, hospitals and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating man-in-the-middle data theft attempts. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating espionage attempts to acquire advanced semiconductor technology and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating data theft targeting telecommunications and government systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration indicated (attempts to steal advanced technology). Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate confidence (60%), supported by evidence indicating network infiltration and telecommunications compromise. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (70%)
Trusted Relationship (60%)
Impact
Network Denial of Service (90%)
Data Manipulation: Stored Data Manipulation (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Command and Control
Application Layer Protocol (60%)

Sources & References