Incident Score: Analysis & Impact (SNOTICATTLEN1786041634)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Ticketmaster's Vulnerability 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 SNOTICATTLEN1786041634.
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 538 and after the incident was 525 with a difference of -13 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.
AT&T recently reported "Canadian Hacker Pleads Guilty to Massive Data Theft and Extortion Scheme", a noteworthy cybersecurity incident.
A 26-year-old Canadian national, Connor Moucka, has pleaded guilty to hacking over 165 companies, stealing billions of records, and extorting victims for millions.
The disruption is felt across the environment, affecting Cloud provider (Snowflake) and its customers, and exposing Billions of records, with nearly Billions records at risk, plus an estimated financial loss of $9.5 million.
Formal response steps have not been shared publicly yet.
The case underscores how Guilty plea entered.
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 high confidence (90%), supported by evidence indicating exploiting vulnerabilities in cloud provider Snowflake and External Remote Services (T1133) with moderate to high confidence (80%), supported by evidence indicating targeted cloud provider Snowflake to breach dozens of its customers. Under the Credential Access tactic, the analysis identified Steal Application Access Token (T1528) with moderate to high confidence (70%), supported by evidence indicating exploited vulnerabilities in cloud provider (Snowflake) and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating breach dozens of its customers, including AT&T, LendingTree, and Ticketmaster. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating stealing billions of records, including call records, banking details and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating data breach impacting over 100 million customers (AT&T). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data exfiltration such as Yes, billions of records stolen and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating selling stolen data on hacking forums like BreachForums. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating extorted victims for over $2.5 million in ransom payments and Financial Theft (T1657) with high confidence (90%), supported by evidence indicating extorted victims for millions, earned $500,000 selling data. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating exploited cloud provider vulnerabilities to access customer data and Hide Artifacts (T1564) with moderate confidence (60%), supported by evidence indicating operating under aliases *Waifu* and *Judische*. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Ticketmaster Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/ticketmaster/incident/SNOTICATTLEN1786041634
- Ticketmaster CyberSecurity Rating page: https://www.rankiteo.com/company/ticketmaster
- Ticketmaster Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/snoticattlen1786041634-snowflake-lendingtree-ticketmaster-att-vulnerability-may-2024/
- Ticketmaster CyberSecurity Score History: https://www.rankiteo.com/company/ticketmaster/history
- Ticketmaster CyberSecurity Incident Source: https://techcrunch.com/2026/08/06/hacker-pleads-guilty-to-stealing-data-from-more-than-165-snowflake-customers/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf