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Analyze » Ticketmaster » MEREQUUNIMAEMGMGOOTOYSNOALLORARIPTIC1775528897

Incident Score: Analysis & Impact (MEREQUUNIMAEMGMGOOTOYSNOALLORARIPTIC1775528897)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-186
Company Score Before Incident366 / 1000
Company Score After Incident180 / 1000
INCIDENT NUMBERMEREQUUNIMAEMGMGOOTOYSNOALLORARIPTIC1775528897
Type of Cyber IncidentRansomware
ATTACK VECTORExploited credentials, Unpatched vulnerabilities, Cloud-based attacks, Phishing, Malware
DATA EXPOSED560 million Ticketmaster records, Live...
INCIDENT DATE10/12/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Ticketmaster's Ransomware 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 Ticketmaster 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 Ticketmaster breach identified under incident ID MEREQUUNIMAEMGMGOOTOYSNOALLORARIPTIC1775528897.

The analysis begins with a detailed overview of Ticketmaster's information like the linkedin page: https://www.linkedin.com/company/ticketmaster, the number of followers: 335687, the industry type: Entertainment Providers and the number of employees: 6803 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 366 and after the incident was 180 with a difference of -186 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 Ticketmaster and their customers.

UnitedHealth recently reported "Global Cybercrime Surge and Major Incidents (2024-2025)", a noteworthy cybersecurity incident.

Cybercrime damages projected to reach $10.5 trillion USD globally in 2025, with ransomware, cryptocurrency crimes, and supply-chain attacks dominating the threat landscape.

The disruption is felt across the environment, affecting Healthcare payments (UnitedHealth), Auto dealerships (CDK Global) and Casino operations (MGM Resorts), and exposing 560 million Ticketmaster records, Live Nation data and 147 million Equifax records, with nearly ['560 million (Ticketmaster)', '147 million (Equifax)', '200,000 systems (WannaCry)'] records at risk, plus an estimated financial loss of $10.5 trillion (projected global damages in 2025).

Formal response steps have not been shared publicly yet.

The case underscores how teams are taking away lessons such as Cybercrime is evolving with AI-driven attacks, underreporting remains a challenge, and supply-chain vulnerabilities are increasingly exploited. Small businesses are particularly vulnerable, with 60% folding within six months of an attack, and recommending next steps like Enhance patch management, improve cloud security configurations, invest in AI-driven defenses, and increase reporting of cyber incidents to law enforcement. Strengthen supply-chain security and prioritize ransomware preparedness.

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 exploited credentials to access 560 million Ticketmaster records, Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating unpatched vulnerabilities exploited (e.g., Equifax, MOVEit), Supply Chain Compromise (T1195) with high confidence (90%), supported by evidence indicating supply-chain attacks (MOVEit, Oracle Cloud, Snowflake), and Phishing (T1566) with moderate to high confidence (70%), supported by evidence indicating phishing listed as an attack vector. Under the Execution tactic, the analysis identified User Execution (T1204) with moderate to high confidence (70%), supported by evidence indicating malware execution (e.g., WannaCry, NotPetya) and Command and Scripting Interpreter (T1059) with moderate confidence (60%), supported by evidence indicating malware and ransomware strains (Akira, LockBit, Clop). Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating stolen credentials used for persistent access (Snowflake breach) and Create Account (T1136) with moderate confidence (50%), supported by evidence indicating threat actors may have created accounts for persistence. Under the Privilege Escalation tactic, the analysis identified Exploitation for Privilege Escalation (T1068) with moderate to high confidence (70%), supported by evidence indicating unpatched vulnerabilities exploited (e.g., Equifax, MOVEit) and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating stolen credentials used for privilege escalation. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating stolen credentials used to evade detection, Impair Defenses (T1562) with moderate confidence (60%), supported by evidence indicating ransomware strains disable security tools (e.g., LockBit), and Obfuscated Files or Information (T1027) with moderate to high confidence (70%), supported by evidence indicating malware and ransomware use obfuscation (e.g., Clop). Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating stolen credentials exploited (Snowflake, ShinyHunters), Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating misconfigured cloud databases (e.g., Snowflake breach), and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating ransomware groups (e.g., LockBit) may dump credentials. Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate to high confidence (70%), supported by evidence indicating threat actors target high-value accounts (e.g., Snowflake breach) and File and Directory Discovery (T1083) with moderate confidence (60%), supported by evidence indicating ransomware groups scan for sensitive data (e.g., Clop). Under the Lateral Movement tactic, the analysis identified Remote Services (T1021) with moderate to high confidence (80%), supported by evidence indicating supply-chain attacks (MOVEit, Oracle Cloud) enable lateral movement and Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating stolen credentials used for lateral movement (Snowflake breach). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 560 million Ticketmaster records, 147 million Equifax records and Data from Network Shared Drive (T1039) with moderate to high confidence (70%), supported by evidence indicating cloud-based attacks (ShinyHunters, Snowflake). Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating ransomware groups use C2 channels (e.g., LockBit, Clop) and Ingress Tool Transfer (T1105) with moderate confidence (60%), supported by evidence indicating malware and ransomware tools transferred (e.g., WannaCry). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed (Snowflake, ShinyHunters, Clop) and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), supported by evidence indicating cloud-based data exfiltration (e.g., Snowflake breach). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating ransomware strains encrypt data (Akira, LockBit, Clop), Data Destruction (T1485) with moderate confidence (60%), supported by evidence indicating notPetya caused $10 billion in damages via data destruction, Defacement (T1491) with moderate confidence (50%), supported by evidence indicating ransomware groups may deface systems (e.g., LockBit), and Inhibit System Recovery (T1490) with moderate to high confidence (70%), supported by evidence indicating ransomware disables recovery options (e.g., Clop). 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%)
Exploit Public-Facing Application (80%)
Supply Chain Compromise (90%)
Phishing (70%)
Execution
User Execution (70%)
Command and Scripting Interpreter (60%)
Persistence
Valid Accounts (80%)
Create Account (50%)
Privilege Escalation
Exploitation for Privilege Escalation (70%)
Valid Accounts (80%)
Defense Evasion
Valid Accounts (80%)
Impair Defenses (60%)
Obfuscated Files or Information (70%)
Credential Access
Brute Force (60%)
Credentials from Password Stores (70%)
OS Credential Dumping (50%)
Discovery
Account Discovery (70%)
File and Directory Discovery (60%)
Lateral Movement
Remote Services (80%)
Valid Accounts (90%)
Collection
Data from Local System (90%)
Data from Network Shared Drive (70%)
Command and Control
Application Layer Protocol (70%)
Ingress Tool Transfer (60%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Transfer Data to Cloud Account (70%)
Impact
Data Encrypted for Impact (90%)
Data Destruction (60%)
Defacement (50%)
Inhibit System Recovery (70%)