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Analyze » Coupang » COU1781504806

Incident Score: Analysis & Impact (COU1781504806)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-261
Company Score Before Incident484 / 1000
Company Score After Incident223 / 1000
INCIDENT NUMBERCOU1781504806
Type of Cyber IncidentBreach
ATTACK VECTORInsider Threat (Former Employee)
DATA EXPOSED37.55 million users' personal information,...
INCIDENT DATE31/12/2024
STATUSCompleted (PIPC ruling issued)

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 COU1781504806.

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: 259424, the industry type: Software Development and the number of employees: 9347 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 484 and after the incident was 223 with a difference of -261 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 12 June 2026, Coupang disclosed Data Breach, Privacy Violation and Employee Data Misuse issues under the banner "South Korea Fines Coupang $460 Million for Massive Data Breach and Employee Data Misuse".

South Korea’s Personal Information Protection Commission (PIPC) imposed a record fine of 624.7 billion won ($460 million) on e-commerce giant Coupang for a series of data protection violations, including a breach exposing the personal information of 37.55 million users.

The disruption is felt across the environment, affecting Coupang Platform, Coupang Partners Advertising Business and Coupang Fulfillment Service (CFS), and exposing 37.55 million users' personal information, 11.17 million users' browsing records, with nearly 37.55 million (users) + 11.17 million (browsing records) records at risk, plus an estimated financial loss of $460 million (fine).

In response, and began remediation that includes Strengthened oversight of advertising partners, post-breach remediation efforts (not fully considered by PIPC), and stakeholders are being briefed through Public apology issued.

The case underscores how Completed (PIPC ruling issued), teams are taking away lessons such as Need for stronger authentication controls, consent-based data collection, and oversight of subsidiaries and advertising partners. Importance of preventing insider threats and misuse of employee data, and recommending next steps like Implement multi-factor authentication, Enhance monitoring of employee data access and Ensure explicit user consent for data collection, with advisories going out to stakeholders covering Public apology issued by Coupang.

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 Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating former employee exploited weak authentication controls to access and leak sensitive data. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate to high confidence (70%), supported by evidence indicating weak authentication controls and Unsecured Credentials: Private Keys (T1552.004) with moderate confidence (60%), supported by evidence indicating former employee exploited weak authentication controls. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating personal information of 37.55 million users exposed, Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating browsing records from 11.17 million users collected without consent, and Data from Network Shared Drive (T1039) with moderate to high confidence (70%), supported by evidence indicating employee data misused by CFS subsidiary. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating former employee...leak sensitive data and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating data breach exposing 37.55 million users. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (60%), supported by evidence indicating unauthorized data collection without consent and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating former employee exploited weak authentication controls. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating misuse of employee data in litigation and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate to high confidence (70%), supported by evidence indicating blacklisted 71 journalists on employment-restriction list. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (90%)
Credential Access
Brute Force (70%)
Unsecured Credentials: Private Keys (60%)
Collection
Data from Local System (90%)
Data from Information Repositories (80%)
Data from Network Shared Drive (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (50%)
Defense Evasion
Hide Artifacts: Hidden Files and Directories (60%)
Valid Accounts (80%)
Impact
Data Destruction (40%)
Data Manipulation: Stored Data Manipulation (70%)