Incident Score: Analysis & Impact (COU1770296279)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Coupang's Breach 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 Coupang 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 Coupang breach identified under incident ID COU1770296279.
The analysis begins with a detailed overview of Coupang's information like the linkedin page: https://www.linkedin.com/company/coupang, the number of followers: 242085, the industry type: Software Development and the number of employees: 8652 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 306 and after the incident was 126 with a difference of -180 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 Coupang and their customers.
On 05 February 2026, Coupang disclosed Data Breach issues under the banner "Coupang Suffers Second Major Data Breach in South Korea, Exposing 165,000 More Customers".
South Korea’s largest e-commerce retailer, Coupang, has disclosed a second significant data breach, exposing the personal information of an additional 165,000 customers.
The disruption is felt across the environment, and exposing Personal information (names, phone numbers, residential addresses), with nearly 165,000 records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how Ongoing, and recommending next steps like Stronger cybersecurity measures, mandatory security reforms.
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 confidence (60%), supported by evidence indicating south Korea’s largest e-commerce retailer...exposing the personal information and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating pattern of security failures at the company. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating pattern of security failures...underscoring a pattern. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, phone numbers, and residential addresses of affected users. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating exposing the personal information of an additional 165,000 customers and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating no details on data exfiltration method. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but breach pattern suggests risk and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating potential identity theft and targeted fraud. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Coupang Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/coupang/incident/COU1770296279
- Coupang CyberSecurity Rating page: https://www.rankiteo.com/company/coupang
- Coupang Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/cou1770296279-coupang-breach-november-2025/
- Coupang CyberSecurity Score History: https://www.rankiteo.com/company/coupang/history
- Coupang CyberSecurity Incident Source: https://www.techi.com/coupang-data-breach-2026-165000-customers-affected/
- 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