Coupang Breach Incident Score: Analysis & Impact (COU1764633465)

In this Rankiteo incident briefing, we review the Coupang breach identified under incident ID COU1764633465.

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 587 and after the incident was 525 with a difference of -62 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 01 December 2023, Coupang disclosed Data Breach issues under the banner "Coupang Data Breach Affecting 34 Million Customers".

Coupang, South Korea's largest online retailer, experienced a data breach compromising the personal information of nearly 34 million customers.

The disruption is felt across the environment, and exposing names, email addresses and phone numbers, with nearly 34,000,000 records at risk.

In response, teams activated the incident response plan, and began remediation that includes Reviewing changes to data security system, and stakeholders are being briefed through Public apology issued by CEO (Park Dae-jun).

The case underscores how Ongoing (joint public-private investigation), with advisories going out to stakeholders covering Public apology and notification issued.

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 breach began five months prior with no clear vector, suggesting exploitation of a public-facing system and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating no login credentials compromised, but 5-month dwell time suggests possible abuse of existing access. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating compromised customers names, email addresses, phone numbers, shipping addresses and some order histories. 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 (80%), supported by evidence indicating data exfiltration such as true with no mention of encryption, implying unsecured transfer. Under the Persistence tactic, the analysis identified Account Manipulation: Additional Cloud Credentials (T1098.003) with moderate confidence (50%), supported by evidence indicating breach began five months prior suggests long-term access, possibly via cloud account manipulation. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating breach began five months prior without detection implies possible defense impairment. Under the Impact tactic, the analysis identified Data from Cloud Storage (T1530) with high confidence (90%), supported by evidence indicating personal information ... compromised from an e-commerce platform (likely cloud-hosted databases). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.