Incident Score: Analysis & Impact (TREMIC1782426560)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Trend Micro's Vulnerability 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 Trend Micro 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 Trend Micro breach identified under incident ID TREMIC1782426560.
The analysis begins with a detailed overview of Trend Micro's information like the linkedin page: https://www.linkedin.com/company/trend-micro, the number of followers: 301417, the industry type: Software Development and the number of employees: 7898 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 770 and after the incident was 767 with a difference of -3 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 Trend Micro and their customers.
On 17 June 2026, a cybersecurity incident called "Interpol Report: Cybercrime Surges in Asia-Pacific (2024-2025)" came to light.
Interpol's 2025/2026 Asia and South Pacific Cyber Threat Assessment highlights a surge in cybercrime across 18 member countries, with phishing, ransomware, DDoS attacks, and AI-enabled scams dominating threats.
The disruption is felt across the environment, affecting cloud applications, government websites and financial institutions.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing (regional assessment), teams are taking away lessons such as Organizations need to adapt defenses to counter AI-generated scams, refine phishing tests, and secure cloud access. Law enforcement requires improved forensic tools, training, and cross-border coordination, and recommending next steps like Refine phishing tests to address AI-generated lures, Secure cloud access and applications and Enhance cross-border law enforcement coordination.
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 phishing remained the most prevalent threat, serving as an entry point, Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating microsoft 365 Android app flaw that exposed authentication tokens, and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating cloud applications accounted for 28% of phishing clicks. Under the Execution tactic, the analysis identified User Execution: Malicious Link (T1204.001) with high confidence (90%), supported by evidence indicating 5.5 out of every 1,000 individuals...clicking on phishing links monthly. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (80%), supported by evidence indicating microsoft 365 Android app flaw that exposed authentication tokens and Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating infostealer campaigns (implied credential harvesting). Under the Privilege Escalation tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating cloud-based organizations were particularly vulnerable. Under the Defense Evasion tactic, the analysis identified Masquerading: Match Legitimate Name or Location (T1036.005) with moderate to high confidence (70%), supported by evidence indicating aI-enabled scams...more convincing phishing lures and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating gaps in forensic tools, training, and technical capacity. Under the Discovery tactic, the analysis identified Account Discovery: Cloud Account (T1087.004) with moderate confidence (60%), supported by evidence indicating cloud applications accounted for 28% of phishing clicks. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating infostealer campaigns (implied data collection) and Data from Cloud Storage (T1530) with moderate to high confidence (80%), supported by evidence indicating cloud-based organizations were particularly vulnerable. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating over 135,000 ransomware incidents in 2024 and Network Denial of Service (T1498) with high confidence (90%), supported by evidence indicating dDoS attacks rose by 92% year-over-year. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration (motivation listed). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Trend Micro Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/trend-micro/incident/TREMIC1782426560
- Trend Micro CyberSecurity Rating page: https://www.rankiteo.com/company/trend-micro
- Trend Micro Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/tremic1782426560-microsoft-trend-micro-vulnerability-january-2024/
- Trend Micro CyberSecurity Score History: https://www.rankiteo.com/company/trend-micro/history
- Trend Micro CyberSecurity Incident Source: https://www.techrepublic.com/article/news-interpol-cybercrime-report-apac/
- 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