Coupang Breach Incident Score: Analysis & Impact (COU1764662280)
The Rankiteo video explains how the company Coupang has been impacted by a Breach on the date July 20, 2024.
Incident Summary
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Key Highlights From This 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 Rankiteoโs incident engine converts technical details into a normalized incident score.
- How this cyber incident impacts Coupang Rankiteo cyber scoring and cyber rating.
- Rankiteoโs 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 COU1764662280.
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 697 and after the incident was 634 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 Data Breach Exposes 33 Million Customers' Personal Information", a noteworthy cybersecurity incident.
A massive data breach at Coupang, South Korea's largest e-commerce platform, exposed the personal information of over 33 million customers, including names, addresses, phone numbers, and recent purchase histories.
The disruption is felt across the environment, and exposing Names, Addresses and Phone Numbers, with nearly 33,000,000+ records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how teams are taking away lessons such as Heightened public awareness of phishing risks post-breach; customers reported increased vigilance in verifying unsolicited communications (e.g., texts/calls referencing leaked purchase data), with advisories going out to stakeholders covering Customers advised to change passwords and exercise caution with unsolicited messages (e.g., fake delivery notifications).
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 Phishing: Spearphishing Link (T1566.002) with high confidence (95%), with evidence including suspicious texts and calls exploiting the leaked data (e.g., recent parcel could not be delivered), and fake delivery notifications referenced in customer advisories and Phishing: Spearphishing via Service Desk (T1566.001) with high confidence (90%), supported by evidence indicating phone call from someone claiming to be a Coupang courier serviceperson. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), with evidence including names, addresses, phone numbers, and recent purchase histories exfiltrated from Coupang systems, and 33,000,000+ records exposed in Personally Identifiable Information (PII) breach. 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 (85%), with evidence including data exfiltration such as Yes with no mention of encryption (33M+ records), and high-sensitivity PII/purchase data compromised and likely transferred externally. Under the Impact tactic, the analysis identified Identity Theft (T1659) with high confidence (95%), with evidence including identity theft risk such as High with leaked PII enabling targeted phishing attempts, and fear of linked financial accounts being targeted via phishing and Defacement (T1495) with moderate to high confidence (70%), supported by evidence indicating brand reputation impact such as Significant (widespread public fear and distrust). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Bash History (T1552.003) with lower confidence (30%), supported by evidence indicating customers advised to change passwords (implies potential credential exposure via PII linkage). Under the Defense Evasion tactic, the analysis identified Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating customer PII and Purchase Histories targeted as high_value_targets (suggests abuse of legitimate cloud/e-commerce accounts). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources
- Coupang Rankiteo Cyber Incident Details: http://www.rankiteo.com/company/coupang/incident/COU1764662280
- Coupang CyberSecurity Rating page: https://www.rankiteo.com/company/coupang
- Coupang Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/cou1764662280-coupang-breach-july-2024/
- Coupang CyberSecurity Score History: https://www.rankiteo.com/company/coupang/history
- Coupang CyberSecurity Incident Source: https://www.koreatimes.co.kr/business/banking-finance/20251202/coupang-users-concerned-about-possible-voice-phishing-after-data-breach
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/static/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf





