Coupang Breach Incident Score: Analysis & Impact (COU1764496624)

In this Rankiteo incident briefing, we review the Coupang breach identified under incident ID COU1764496624.

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 649 and after the incident was 586 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.

On 30 November 2023, Coupang disclosed Data Breach and Cybersecurity Failure issues under the banner "Coupang Massive Data Breach Exposing 34 Million Users' Information".

A catastrophic security incident at Coupang, Korea's leading e-commerce company, exposed the personal information of approximately 34 million users.

The disruption is felt across the environment, and exposing Personal information of ~34 million users (effectively covering the entire nation), with nearly 34,000,000 records at risk.

In response, teams activated the incident response plan, and stakeholders are being briefed through Public disclosure via CEO Park Dae-jun's press interaction; political statements from People Power Party and DPK.

The case underscores how Ongoing (political and technical scrutiny), with advisories going out to stakeholders covering Emergency ministerial meeting held; public statements by People Power Party and DPK.

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 Exploit Public-Facing Application (T1190) with moderate to high confidence (70%), supported by evidence indicating intrusion attempts began in June, e-commerce platform breach and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating corporate negligence in security (possible credential misuse). Under the Persistence tactic, the analysis identified Account Manipulation (T1098) with moderate confidence (50%), supported by evidence indicating undetected for months (suggests long-term access). Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating delayed detection (intrusion attempts began in June, detected in November) and Obfuscated Files or Information (T1027) with moderate confidence (50%), supported by evidence indicating 5-month dwell time (implies evasion of monitoring). Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating personal information of ~34M users (possible credential databases). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as Yes, PII of 34M users. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Unencrypted/Obfuscated Non-C2 Protocol (T1048.003) with moderate to high confidence (70%), supported by evidence indicating data exfiltration such as Yes (no specifics, but large-scale PII theft). Under the Impact tactic, the analysis identified Data from Cloud Storage (T1530) with moderate to high confidence (70%), supported by evidence indicating e-commerce company (likely cloud-hosted PII databases) and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no direct evidence, but catastrophic security incident suggests severe impact. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.