Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Coupang » DELOPETATAPPCELCOU1782491615

Incident Score: Analysis & Impact (DELOPETATAPPCELCOU1782491615)

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 NUMBERDELOPETATAPPCELCOU1782491615
Type of Cyber IncidentBreach
ATTACK VECTORSoftware Exploitation (Cellebrite), Phishing, Dark Web Leak, Adversarial Prompt Injection, Backdoor
DATA EXPOSED630 GB of proprietary data...
INCIDENT DATE31/12/2024
STATUSpublished

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 DELOPETATAPPCELCOU1782491615.

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.

Andrey Pivovarov recently reported "Cybersecurity Roundup: Key Threats, Breaches, and Industry Shifts", a noteworthy cybersecurity incident.

This week’s cybersecurity landscape saw significant developments across state-sponsored attacks, corporate breaches, regulatory interventions, and emerging AI-driven threats.

The disruption is felt across the environment, affecting Transport for London fare refund systems, Administrative networks and macOS systems, and exposing 630 GB of proprietary data (Tata Electronics), Telegram and WhatsApp data (Andrey Pivovarov) and Apple and Tesla manufacturing schematics, plus an estimated financial loss of Millions in remediation costs (Transport for London).

In response, and began remediation that includes Apple patched Beats eavesdropping flaw.

The case underscores how and recommending next steps like Adopt zero-trust architectures, Expedite patching and Decommission legacy systems, with advisories going out to stakeholders covering Five Eyes advisory on AI-driven threats.

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 Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating russian authorities exploited Cellebrite software to extract data, Phishing: Spearphishing Attachment (T1566.001) with moderate to high confidence (70%), supported by evidence indicating coldRiver phishing campaigns against Pivovarov’s associates, and Supply Chain Compromise: Compromise Software Supply Chain (T1195.002) with high confidence (90%), supported by evidence indicating tata Electronics breach led to dark web leak of proprietary data. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate confidence (60%), supported by evidence indicating macOS.Gaslight backdoor deploys deceptive error messages and Command and Scripting Interpreter: Unix Shell (T1059.004) with moderate to high confidence (70%), supported by evidence indicating macOS.Gaslight provides an interactive shell. Under the Persistence tactic, the analysis identified Create or Modify System Process: Launch Daemon (T1543.004) with moderate confidence (60%), supported by evidence indicating macOS.Gaslight backdoor (Rust-based malware). Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate confidence (50%), supported by evidence indicating cellebrite software exploitation for iPhone data extraction. Under the Defense Evasion tactic, the analysis identified Masquerading: Match Legitimate Name or Location (T1036.005) with moderate to high confidence (80%), supported by evidence indicating macOS.Gaslight uses deceptive error messages to evade LLM-assisted triage and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (60%), supported by evidence indicating adversarial prompt injection to disrupt automated security analysis. Under the Credential Access tactic, the analysis identified Credentials from Password Stores: Credentials from Web Browsers (T1555.003) with moderate to high confidence (70%), supported by evidence indicating cellebrite exploited to extract Telegram and WhatsApp data. Under the Discovery tactic, the analysis identified File and Directory Discovery (T1083) with moderate to high confidence (70%), supported by evidence indicating 630 GB of proprietary data exfiltrated (Tata Electronics). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating apple and Tesla manufacturing schematics compromised and Email Collection: Remote Email Collection (T1114.002) with moderate to high confidence (70%), supported by evidence indicating telegram and WhatsApp data harvested. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating 630 GB of data leaked to dark web (Tata Electronics) and Exfiltration Over Web Service: Exfiltration to Cloud Storage (T1567.002) with moderate confidence (60%), supported by evidence indicating world Leaks published the trove of sensitive data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (40%), supported by evidence indicating scattered Spider breach forced 28,000 employees to reset passwords and Data Manipulation: Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating transport for London fare refund systems disrupted. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (80%)
Phishing: Spearphishing Attachment (70%)
Supply Chain Compromise: Compromise Software Supply Chain (90%)
Execution
User Execution: Malicious File (60%)
Command and Scripting Interpreter: Unix Shell (70%)
Persistence
Create or Modify System Process: Launch Daemon (60%)
Privilege Escalation
Exploitation for Privilege Escalation (50%)
Defense Evasion
Masquerading: Match Legitimate Name or Location (80%)
Impair Defenses: Disable or Modify Tools (60%)
Credential Access
Credentials from Password Stores: Credentials from Web Browsers (70%)
Discovery
File and Directory Discovery (70%)
Collection
Data from Local System (90%)
Email Collection: Remote Email Collection (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service: Exfiltration to Cloud Storage (60%)
Impact
Data Encrypted for Impact (40%)
Data Manipulation: Stored Data Manipulation (50%)