Coupang Breach Incident Score: Analysis & Impact (COU1764518078)

In this Rankiteo incident briefing, we review the Coupang breach identified under incident ID COU1764518078.

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: 226701, the industry type: Software Development and the number of employees: 7994 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 421 and after the incident was 358 with a difference of -63 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.

Coupang recently reported "Coupang Major Data Leak Affecting 33.7 Million Customer Accounts", a noteworthy cybersecurity incident.

Coupang, Korea’s largest e-commerce platform, disclosed a major data leak affecting 33.7 million customer accounts.

The disruption is felt across the environment, and exposing Customer Names, Email Addresses and Delivery Addresses, with nearly 33.7 Million records at risk.

In response, while recovery efforts such as Customer Advisory to Avoid Phishing (Impersonation Calls/Messages) continue, and stakeholders are being briefed through Public Disclosure and Customer Notification (No Action Required for Affected Users).

The case underscores how Ongoing (Suspected Insider Threat from Former Employee), teams are taking away lessons such as Need for Stricter Internal Access Controls and Monitoring, Importance of Accurate Initial Breach Reporting and Risks of Insider Threats and Long-Term Data Exfiltration, and recommending next steps like Implement Robust Insider Threat Detection Systems, Enhance Data Access Logging and Anomaly Monitoring and Conduct Regular Audits of Employee Access Rights, with advisories going out to stakeholders covering Customers Advised to Beware of Phishing (Impersonation Scams).

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.

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 Valid Accounts: Cloud Accounts (T1078.004) with high confidence (95%), supported by evidence indicating insider Threat (Former Employee), Internal Access (Former Employee). Under the Persistence tactic, the analysis identified Account Manipulation: Additional Cloud Credentials (T1098.003) with moderate to high confidence (85%), supported by evidence indicating extracted customer data over five months without the company noticing. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (70%), supported by evidence indicating poor Internal Access Controls, Lack of Monitoring for Unauthorized Data Exfiltration. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (80%), supported by evidence indicating high value targets such as Customer PII Database, extracted data over five months. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating leaked information includes customer names, email addresses, delivery addresses, phone numbers. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with high confidence (90%), supported by evidence indicating data exfiltration such as Yes (Over Five Months), unnoticed extraction by former employee. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable Cloud Logs (T1562.001) with moderate to high confidence (80%), supported by evidence indicating lack of Monitoring for Unauthorized Data Exfiltration, five months without detection and Indicator Removal: File Deletion (T1070.004) with moderate to high confidence (75%), supported by evidence indicating failure to Detect Prolonged Data Exfiltration suggests log/trace tampering or deletion. Under the Impact tactic, the analysis identified Data from Cloud Storage (T1530) with high confidence (90%), supported by evidence indicating customer PII Database targeted, 33.7 million customer accounts affected and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no immediate action required implies data integrity *may* have been preserved, but risk of misuse remains. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.