Ticketmaster Breach Incident Score: Analysis & Impact (TIC1823618112425)

In this Rankiteo incident briefing, we review the Ticketmaster breach identified under incident ID TIC1823618112425.

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: 296098, the industry type: Entertainment Providers and the number of employees: 6768 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 652 and after the incident was 546 with a difference of -106 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.

Snowflake, Inc. recently reported "Snowflake Data Breach (2024) and Cascading Impact on Ticketmaster", a noteworthy cybersecurity incident.

In early 2024, attackers exploited weak credentials and excessive permissions in Snowflake, Inc.'s cloud environment to bypass perimeter defenses.

The disruption is felt across the environment, affecting Snowflake Cloud Environment, Ticketmaster Databases and AT&T Systems (implied), and exposing Personally Identifiable Information (PII), Customer Records and Marketing/Analytics Data, with nearly 560 million (Ticketmaster alone) records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing (lawsuits pending; no public resolution announced), teams are taking away lessons such as Identity is the new infrastructure in cloud environments; compromised credentials can bypass traditional defenses, Third-party cloud platforms extend the attack surface; their security gaps become your risk and Lateral movement in cloud ecosystems can escalate a single breach into a multi-tenant disaster, and recommending next steps like Adopt a **Cloud Native Application Protection Platform (CNAPP)** to unify posture, workload, and identity analytics, Implement **Zero Trust Architecture** with strict least-privilege access and continuous authentication and Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles, with advisories going out to stakeholders covering Ticketmaster notified affected customers; lawsuits filed.

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 Valid Accounts: Cloud Accounts (T1078.004) with high confidence (95%), with evidence including exploited weak credentials and excessive permissions in Snowflake’s cloud environment, and compromised Snowflake credentials (weak/stolen) and Brute Force: Password Guessing (T1110.001) with moderate to high confidence (85%), with evidence including credential Stuffing listed under attack_vector, and weak/Stolen Credentials under vulnerability_exploited. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), with evidence including weak/Stolen Credentials under vulnerability_exploited, and lack of Multi-Factor Authentication (MFA) and Unsecured Credentials: Private Keys (T1552.004) with moderate to high confidence (70%), supported by evidence indicating misconfigured Cloud Identity and Access Management (IAM) implies potential key exposure. Under the Lateral Movement tactic, the analysis identified Remote Services: Cloud Services (T1021.007) with high confidence (95%), with evidence including lateral Movement via Cloud Environment under attack_vector, and pivoted laterally into multiple customer environments (e.g., AT&T, Santander Bank, Ticketmaster) and Valid Accounts: Cloud Accounts (T1078.004) with high confidence (90%), supported by evidence indicating excessive Permissions enabled movement across Snowflake customer instances. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Cloud Firewall (T1562.001) with moderate to high confidence (75%), supported by evidence indicating bypassed perimeter defenses implies evasion of cloud-native security controls and Indicator Removal: File Deletion (T1070.004) with moderate confidence (60%), supported by evidence indicating no direct evidence, but 1.3TB exfiltration suggests potential log/trace cleanup (implied). Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration Over Cloud API (T1048.003) with high confidence (95%), with evidence including exfiltration of 1.3 terabytes of data via Snowflake cloud environment, and exposed APIs under vulnerability_exploited and Automated Exfiltration (T1020) with moderate to high confidence (85%), supported by evidence indicating large-scale (1.3TB) data theft suggests automated scripts/tools. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no direct evidence, but Disruption listed under motivation (low confidence) and Data Encrypted for Impact (T1486) with lower confidence (10%), supported by evidence indicating no ransomware confirmed; included only for completeness (low confidence). Under the Persistence tactic, the analysis identified Account Manipulation: Additional Cloud Roles (T1098.003) with moderate to high confidence (80%), supported by evidence indicating excessive Permissions and Over-Privileged Accounts suggest privilege escalation/persistence. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.