Incident Score: Analysis & Impact (KOR1773095170)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Kordia'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 Kordia 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 Kordia breach identified under incident ID KOR1773095170.
The analysis begins with a detailed overview of Kordia's information like the linkedin page: https://www.linkedin.com/company/kordia, the number of followers: 19383, the industry type: Telecommunications and the number of employees: 551 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 756 and after the incident was 714 with a difference of -42 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 Kordia and their customers.
A newly reported cybersecurity incident, "AI-Powered Cyberattacks Surge in New Zealand", has drawn attention.
New Zealand businesses are facing a sharp rise in AI-driven cyber threats, with 80% of phishing emails now containing undetectable AI-generated content.
The disruption is felt across the environment, and exposing biometric data (facial recognition, voiceprints) and personally identifiable information, plus an estimated financial loss of $18 million daily global economic losses.
In response, teams activated the incident response plan, while recovery efforts such as A third of businesses took two months to recover continue.
The case underscores how teams are taking away lessons such as AI-driven threats are escalating, with phishing click-through rates at 54% (vs. 12% for traditional phishing). Businesses lack preparedness, with 25% having no incident response plans and 50% willing to pay ransoms. Cyber insurance is not a substitute for risk mitigation, and recommending next steps like Stricter regulations and mandatory reporting, Government-backed cybersecurity education and Enhanced employee training.
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 Phishing (T1566) with high confidence (90%), supported by evidence indicating 80% of phishing emails now containing undetectable AI-generated content, Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (80%), supported by evidence indicating aI-generated phishing emails achieving 54% click-through rate, Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating aI-assisted phishing campaigns with 54% click-through rate, and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating voice and video-based attacks leveraging biometric data. Under the Execution tactic, the analysis identified User Execution (T1204) with high confidence (90%), supported by evidence indicating 54% click-through rate for AI-assisted phishing campaigns and User Execution: Malicious Link (T1204.001) with moderate to high confidence (80%), supported by evidence indicating aI-generated phishing emails with 54% click-through rate. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate to high confidence (70%), supported by evidence indicating exploiting biometric data like facial recognition and voiceprints and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating biometric credentials that cannot be changed once compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating biometric data (facial recognition, voiceprints) compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating personally identifiable information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration listed as a motivation for attacks and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (60%), supported by evidence indicating extortion in one in five cases of severe disruptions. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating ransomware attacks causing severe disruptions, Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating severe disruptions including extortion in one in five cases, Inhibit System Recovery (T1490) with moderate confidence (60%), supported by evidence indicating a third of attacked businesses took two months to recover, and Defacement (T1491) with lower confidence (40%), supported by evidence indicating dDoS attacks prioritized by larger enterprises. Under the Defense Evasion tactic, the analysis identified Masquerading (T1036) with moderate to high confidence (80%), supported by evidence indicating 80% of phishing emails containing undetectable AI-generated content and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating 25% of businesses lack data security measures or incident response plans. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Kordia Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/kordia/incident/KOR1773095170
- Kordia CyberSecurity Rating page: https://www.rankiteo.com/company/kordia
- Kordia Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/kor1773095170-kordia-cyber-attack-march-2026/
- Kordia CyberSecurity Score History: https://www.rankiteo.com/company/kordia/history
- Kordia CyberSecurity Incident Source: https://www.rnz.co.nz/news/business/589092/one-in-two-large-businesses-successfully-attacked-by-cybercriminals-in-last-year
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf