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PCI DSS
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Ticketmaster gives millions of fans – worldwide – fair and easy access to the biggest and best in live entertainment. Driven by innovation, unparalleled scalability, and unmatched support, we are the definitive leader in professional ticketing solutions. Over 12,000 artists, teams, and venues around the world trust us to power their amazing performances daily — with more than 500 million tickets sold each year. We are a diverse team of 6,500+ global employees and a proud division of Live Nation Entertainment (NYSE: LYV), the world’s leading live entertainment company and an organization certified as a Great Place to Work®. Everything we do starts with our passion to dream, design, and deliver the unforgettable experience of live. Because we’re fans too — and live only happens once.

Ticketmaster A.I CyberSecurity Scoring

Ticketmaster

Company Details

Linkedin ID:

ticketmaster

Employees number:

6,768

Number of followers:

296,098

NAICS:

71

Industry Type:

Entertainment Providers

Homepage:

ticketmaster.com

IP Addresses:

1319

Company ID:

TIC_2533553

Scan Status:

Completed

AI scoreTicketmaster Risk Score (AI oriented)

Between 0 and 549

https://images.rankiteo.com/companyimages/ticketmaster.jpeg
Ticketmaster Entertainment Providers
Updated:
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globalscoreTicketmaster Global Score (TPRM)

XXXX

https://images.rankiteo.com/companyimages/ticketmaster.jpeg
Ticketmaster Entertainment Providers
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Ticketmaster Company CyberSecurity News & History

Past Incidents
8
Attack Types
2
EntityTypeSeverityImpactSeenBlog DetailsIncident DetailsView
TicketmasterBreach8544/2024
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: The Vermont Office of the Attorney General reported a data breach incident involving Ticketmaster on July 5, 2024. The unauthorized access occurred between April 2, 2024, and May 18, 2024, potentially affecting personal information such as names and basic contact information, though the exact number of individuals affected is unknown.

Ticketmaster LLCBreach8544/2024
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: The Maine Office of the Attorney General reported a data breach at Ticketmaster LLC on June 28, 2024. The breach, which involved unauthorized access to a cloud database, occurred between April 2, 2024, and May 18, 2024, affecting over 1,000 individuals. Notifications were sent to impacted consumers on July 8, 2024, and identity monitoring services by TransUnion were offered for twelve months.

TicketmasterBreach10056/2024
Rankiteo Explanation :
Attack threatening the organization’s existence

Description: Ticketmaster, a major customer of Snowflake, suffered a severe data breach in early 2024 after attackers exploited weak credentials and excessive permissions in Snowflake’s cloud environment. The breach led to unauthorized access to Ticketmaster’s database, resulting in the exfiltration of **1.3 terabytes of data** belonging to **560 million individuals**, including personal and potentially sensitive information. The incident triggered multiple customer lawsuits, reputational damage, and regulatory scrutiny. The attack highlighted critical vulnerabilities in third-party cloud platforms, where identity-based compromises enabled lateral movement and large-scale data theft. The cascading impact underscored how interconnected cloud ecosystems amplify risks, turning third-party breaches into direct threats to customer trust and operational stability.

TicketmasterBreach10057/2024
Rankiteo Explanation :
Attack threatening the organization’s existence

Description: Ticketmaster suffered a cybersecurity breach when hackers claimed to have stolen 560 million people’s information from the company's Snowflake account. The breach included personal details such as emails, phone numbers, and encrypted credit card information. A hacker group threatened to release 170,000 ticket barcodes for Taylor Swift concerts and demanded a $2 million USD ransom. Ticketmaster has confirmed a breach but stated that barcodes could not be copied due to their SafeTix technology, which refreshes the barcode every few seconds. The breach has raised concerns over customer data privacy and the company's cybersecurity measures.

TicketmasterBreach100406/2018
Rankiteo Explanation :
Attack with significant impact with customers data leaks

Description: Ticketmaster, a company that sells tickets for events, revealed that there was a data breach that resulted in the exposure of payment and personal customer information. Hackers gained access to consumers' names, addresses, email addresses, phone numbers, payment information, and Ticketmaster login credentials. The company claims that malicious code was put by attackers on a customer assistance product hosted by an outside third party, Inbenta Technologies. Hackers gained access to a third-party customer support chat application that was installed on the UK website to obtain payment and personal information from ticket buyers.

TicketmasterCyber Attack60211/2022
Rankiteo Explanation :
Attack limited on finance or reputation

Description: Ticketmaster was hit by a cyberattack in November that led to the problems with ticket sales for Taylor Swift’s upcoming U.S. tour. A massive influx of traffic on the Ticketmaster website caused the slowdown in ticket sales as a part of that was due to a cyberattack.

TicketmasterCyber Attack10057/2024
Rankiteo Explanation :
Attack threatening the organization’s existence

Description: Ticketmaster experienced a significant security breach where criminal hackers claimed to have stolen data from 560 million people. The attackers exploited vulnerabilities in cloud storage services and lacked multi-factor authentication. They threatened to leak 170,000 ticket barcodes and demanded a $2 million ransom. Although the claims may be dubious, the breach exposes emails, phone numbers, encrypted credit card data, and other personal information, leading to a loss of trust and potential financial and reputational damage for affected customers and the company itself.

TicketmasterCyber Attack1006/2025
Rankiteo Explanation :
Attack threatening the organization’s existence

Description: Arkana Security Group claims to have accessed Ticketmaster’s database infrastructure, exfiltrating sensitive customer data including PII, financial transaction records, and behavioral analytics data. The breach affects millions of users globally, raising concerns about the entertainment industry’s cybersecurity. The data exposure includes proprietary business intelligence and internal fraud detection algorithms, facilitating potential social engineering attacks and phishing operations.

Ticketmaster
Breach
Severity: 85
Impact: 4
Seen: 4/2024
Blog:
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: The Vermont Office of the Attorney General reported a data breach incident involving Ticketmaster on July 5, 2024. The unauthorized access occurred between April 2, 2024, and May 18, 2024, potentially affecting personal information such as names and basic contact information, though the exact number of individuals affected is unknown.

Ticketmaster LLC
Breach
Severity: 85
Impact: 4
Seen: 4/2024
Blog:
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: The Maine Office of the Attorney General reported a data breach at Ticketmaster LLC on June 28, 2024. The breach, which involved unauthorized access to a cloud database, occurred between April 2, 2024, and May 18, 2024, affecting over 1,000 individuals. Notifications were sent to impacted consumers on July 8, 2024, and identity monitoring services by TransUnion were offered for twelve months.

Ticketmaster
Breach
Severity: 100
Impact: 5
Seen: 6/2024
Blog:
Rankiteo Explanation
Attack threatening the organization’s existence

Description: Ticketmaster, a major customer of Snowflake, suffered a severe data breach in early 2024 after attackers exploited weak credentials and excessive permissions in Snowflake’s cloud environment. The breach led to unauthorized access to Ticketmaster’s database, resulting in the exfiltration of **1.3 terabytes of data** belonging to **560 million individuals**, including personal and potentially sensitive information. The incident triggered multiple customer lawsuits, reputational damage, and regulatory scrutiny. The attack highlighted critical vulnerabilities in third-party cloud platforms, where identity-based compromises enabled lateral movement and large-scale data theft. The cascading impact underscored how interconnected cloud ecosystems amplify risks, turning third-party breaches into direct threats to customer trust and operational stability.

Ticketmaster
Breach
Severity: 100
Impact: 5
Seen: 7/2024
Blog:
Rankiteo Explanation
Attack threatening the organization’s existence

Description: Ticketmaster suffered a cybersecurity breach when hackers claimed to have stolen 560 million people’s information from the company's Snowflake account. The breach included personal details such as emails, phone numbers, and encrypted credit card information. A hacker group threatened to release 170,000 ticket barcodes for Taylor Swift concerts and demanded a $2 million USD ransom. Ticketmaster has confirmed a breach but stated that barcodes could not be copied due to their SafeTix technology, which refreshes the barcode every few seconds. The breach has raised concerns over customer data privacy and the company's cybersecurity measures.

Ticketmaster
Breach
Severity: 100
Impact: 4
Seen: 06/2018
Blog:
Rankiteo Explanation
Attack with significant impact with customers data leaks

Description: Ticketmaster, a company that sells tickets for events, revealed that there was a data breach that resulted in the exposure of payment and personal customer information. Hackers gained access to consumers' names, addresses, email addresses, phone numbers, payment information, and Ticketmaster login credentials. The company claims that malicious code was put by attackers on a customer assistance product hosted by an outside third party, Inbenta Technologies. Hackers gained access to a third-party customer support chat application that was installed on the UK website to obtain payment and personal information from ticket buyers.

Ticketmaster
Cyber Attack
Severity: 60
Impact: 2
Seen: 11/2022
Blog:
Rankiteo Explanation
Attack limited on finance or reputation

Description: Ticketmaster was hit by a cyberattack in November that led to the problems with ticket sales for Taylor Swift’s upcoming U.S. tour. A massive influx of traffic on the Ticketmaster website caused the slowdown in ticket sales as a part of that was due to a cyberattack.

Ticketmaster
Cyber Attack
Severity: 100
Impact: 5
Seen: 7/2024
Blog:
Rankiteo Explanation
Attack threatening the organization’s existence

Description: Ticketmaster experienced a significant security breach where criminal hackers claimed to have stolen data from 560 million people. The attackers exploited vulnerabilities in cloud storage services and lacked multi-factor authentication. They threatened to leak 170,000 ticket barcodes and demanded a $2 million ransom. Although the claims may be dubious, the breach exposes emails, phone numbers, encrypted credit card data, and other personal information, leading to a loss of trust and potential financial and reputational damage for affected customers and the company itself.

Ticketmaster
Cyber Attack
Severity: 100
Impact:
Seen: 6/2025
Blog:
Rankiteo Explanation
Attack threatening the organization’s existence

Description: Arkana Security Group claims to have accessed Ticketmaster’s database infrastructure, exfiltrating sensitive customer data including PII, financial transaction records, and behavioral analytics data. The breach affects millions of users globally, raising concerns about the entertainment industry’s cybersecurity. The data exposure includes proprietary business intelligence and internal fraud detection algorithms, facilitating potential social engineering attacks and phishing operations.

Ailogo

Ticketmaster Company Scoring based on AI Models

Cyber Incidents Likelihood 3 - 6 - 9 months

🔒
Incident Predictions locked
Access Monitoring Plan

A.I Risk Score Likelihood 3 - 6 - 9 months

🔒
A.I. Risk Score Predictions locked
Access Monitoring Plan
statics

Underwriter Stats for Ticketmaster

Incidents vs Entertainment Providers Industry Average (This Year)

Ticketmaster has 28.21% more incidents than the average of same-industry companies with at least one recorded incident.

Incidents vs All-Companies Average (This Year)

Ticketmaster has 56.25% more incidents than the average of all companies with at least one recorded incident.

Incident Types Ticketmaster vs Entertainment Providers Industry Avg (This Year)

Ticketmaster reported 1 incidents this year: 1 cyber attacks, 0 ransomware, 0 vulnerabilities, 0 data breaches, compared to industry peers with at least 1 incident.

Incident History — Ticketmaster (X = Date, Y = Severity)

Ticketmaster cyber incidents detection timeline including parent company and subsidiaries

Ticketmaster Company Subsidiaries

SubsidiaryImage

Ticketmaster gives millions of fans – worldwide – fair and easy access to the biggest and best in live entertainment. Driven by innovation, unparalleled scalability, and unmatched support, we are the definitive leader in professional ticketing solutions. Over 12,000 artists, teams, and venues around the world trust us to power their amazing performances daily — with more than 500 million tickets sold each year. We are a diverse team of 6,500+ global employees and a proud division of Live Nation Entertainment (NYSE: LYV), the world’s leading live entertainment company and an organization certified as a Great Place to Work®. Everything we do starts with our passion to dream, design, and deliver the unforgettable experience of live. Because we’re fans too — and live only happens once.

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Ticketmaster CyberSecurity News

October 28, 2025 07:00 AM
Snowflake, Ticketmaster must face US lawsuits over sprawling data breach

A federal judge in Montana has allowed consumers to move forward with lawsuits alleging that cybersecurity failures enabled a massive data...

May 31, 2025 07:00 AM
Cybersecurity Alert: Major Breaches at TikTok and Ticketmaster

Cybersecurity Alert: Major Breaches at TikTok and Ticketmaster · More options · Settings · More options · Settings · Insert/edit link. Close.

January 28, 2025 08:00 AM
The number of victims in major data breaches soared in 2024

Ticketmaster, Advance Auto Parts, Change Healthcare exposed the most people's data last year, per a new report.

December 03, 2024 08:00 AM
Cyber security: A month in retrospect (Australia) - November 2024

November was a momentous month, as Australia welcomed significant cyber law reform, including the Cyber Security Act 2024.

November 11, 2024 08:00 AM
Authorities arrest alleged Ticketmaster, AT&T hacker

A hacker suspected of being responsible for dozens of data breaches — including Ticketmaster and AT&T earlier this year — was reportedly...

October 20, 2024 04:25 AM
Notorious hacking group claims Ticketmaster data breach; Personal details of 560 million customers potentially compromised

The threat actor group called ShinyHunters has claimed responsibility for a data breach at global events giant Ticketmaster.

October 14, 2024 07:00 AM
Live Nation Hit With Class Action Lawsuit Over Massive Ticketmaster Data Breach

Ticketmaster is facing a proposed class action accusing it of failing to adopt adequate security measures to prevent against hacks.

October 14, 2024 07:00 AM
The biggest data breaches in 2024: 1 billion stolen records and rising

Some of the largest, most damaging breaches of 2024 already account for over a billion stolen records. Plus, some special shout-outs.

September 23, 2024 07:00 AM
Cybersecurity Experts Are Closing In On Ticketmaster Hacker, Report Says

Cybersecurity defense firm Mandiant is stalking the Ticketmaster hacker known as Judische who was behind the massive Snowflake breach. This...

faq

Frequently Asked Questions

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.

Ticketmaster CyberSecurity History Information

Official Website of Ticketmaster

The official website of Ticketmaster is http://www.ticketmaster.com.

Ticketmaster’s AI-Generated Cybersecurity Score

According to Rankiteo, Ticketmaster’s AI-generated cybersecurity score is 499, reflecting their Critical security posture.

How many security badges does Ticketmaster’ have ?

According to Rankiteo, Ticketmaster currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.

Does Ticketmaster have SOC 2 Type 1 certification ?

According to Rankiteo, Ticketmaster is not certified under SOC 2 Type 1.

Does Ticketmaster have SOC 2 Type 2 certification ?

According to Rankiteo, Ticketmaster does not hold a SOC 2 Type 2 certification.

Does Ticketmaster comply with GDPR ?

According to Rankiteo, Ticketmaster is not listed as GDPR compliant.

Does Ticketmaster have PCI DSS certification ?

According to Rankiteo, Ticketmaster does not currently maintain PCI DSS compliance.

Does Ticketmaster comply with HIPAA ?

According to Rankiteo, Ticketmaster is not compliant with HIPAA regulations.

Does Ticketmaster have ISO 27001 certification ?

According to Rankiteo,Ticketmaster is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.

Industry Classification of Ticketmaster

Ticketmaster operates primarily in the Entertainment Providers industry.

Number of Employees at Ticketmaster

Ticketmaster employs approximately 6,768 people worldwide.

Subsidiaries Owned by Ticketmaster

Ticketmaster presently has no subsidiaries across any sectors.

Ticketmaster’s LinkedIn Followers

Ticketmaster’s official LinkedIn profile has approximately 296,098 followers.

NAICS Classification of Ticketmaster

Ticketmaster is classified under the NAICS code 71, which corresponds to Arts, Entertainment, and Recreation.

Ticketmaster’s Presence on Crunchbase

Yes, Ticketmaster has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/ticketmaster.

Ticketmaster’s Presence on LinkedIn

Yes, Ticketmaster maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/ticketmaster.

Cybersecurity Incidents Involving Ticketmaster

As of November 27, 2025, Rankiteo reports that Ticketmaster has experienced 8 cybersecurity incidents.

Number of Peer and Competitor Companies

Ticketmaster has an estimated 7,232 peer or competitor companies worldwide.

What types of cybersecurity incidents have occurred at Ticketmaster ?

Incident Types: The types of cybersecurity incidents that have occurred include Breach and Cyber Attack.

How does Ticketmaster detect and respond to cybersecurity incidents ?

Detection and Response: The company detects and responds to cybersecurity incidents through an remediation measures with implement database activity monitoring, remediation measures with implement privileged access management (pam) solutions, remediation measures with implement zero-trust architecture principles, and enhanced monitoring with real-time threat monitoring capabilities, and third party assistance with transunion, and communication strategy with notifications sent to impacted consumers on july 8, 2024..

Incident Details

Can you provide details on each incident ?

Incident : Cyberattack

Title: Cyberattack on Ticketmaster during Taylor Swift Tour Ticket Sales

Description: Ticketmaster was hit by a cyberattack in November that led to the problems with ticket sales for Taylor Swift’s upcoming U.S. tour. A massive influx of traffic on the Ticketmaster website caused the slowdown in ticket sales as a part of that was due to a cyberattack.

Date Detected: November

Type: Cyberattack

Attack Vector: DDoS

Incident : Data Breach

Title: Ticketmaster Data Breach

Description: Ticketmaster, a company that sells tickets for events, revealed that there was a data breach that resulted in the exposure of payment and personal customer information. Hackers gained access to consumers' names, addresses, email addresses, phone numbers, payment information, and Ticketmaster login credentials. The company claims that malicious code was put by attackers on a customer assistance product hosted by an outside third party, Inbenta Technologies. Hackers gained access to a third-party customer support chat application that was installed on the UK website to obtain payment and personal information from ticket buyers.

Type: Data Breach

Attack Vector: Third-party customer support chat application

Vulnerability Exploited: Malicious code injection

Motivation: Data theft

Incident : Data Breach

Title: Ticketmaster Data Breach

Description: Ticketmaster suffered a cybersecurity breach when hackers claimed to have stolen 560 million people’s information from the company's Snowflake account. The breach included personal details such as emails, phone numbers, and encrypted credit card information. A hacker group threatened to release 170,000 ticket barcodes for Taylor Swift concerts and demanded a $2 million USD ransom. Ticketmaster has confirmed a breach but stated that barcodes could not be copied due to their SafeTix technology, which refreshes the barcode every few seconds. The breach has raised concerns over customer data privacy and the company's cybersecurity measures.

Type: Data Breach

Attack Vector: Unauthorized Access to Snowflake Account

Threat Actor: Hacker Group

Motivation: Financial Gain

Incident : Data Breach

Title: Ticketmaster Data Breach

Description: Ticketmaster experienced a significant security breach where criminal hackers claimed to have stolen data from 560 million people. The attackers exploited vulnerabilities in cloud storage services and lacked multi-factor authentication. They threatened to leak 170,000 ticket barcodes and demanded a $2 million ransom. Although the claims may be dubious, the breach exposes emails, phone numbers, encrypted credit card data, and other personal information, leading to a loss of trust and potential financial and reputational damage for affected customers and the company itself.

Type: Data Breach

Attack Vector: Exploitation of vulnerabilities in cloud storage services

Vulnerability Exploited: Lack of multi-factor authentication

Threat Actor: Criminal Hackers

Motivation: Financial Gain

Incident : Data Breach

Title: Ticketmaster Data Breach by Arkana Security Group

Description: Arkana Security Group claims to have successfully gained access to Ticketmaster’s database infrastructure and exfiltrated massive volumes of sensitive customer data, affecting millions of users worldwide.

Type: Data Breach

Attack Vector: SQL injection vulnerabilitiesInsider access mechanismsZero-day vulnerabilities

Vulnerability Exploited: REST API endpointsGraphQL interfacesWeb application stack

Threat Actor: Arkana Security Group

Motivation: Financial gain through selling data on dark web marketplaces

Incident : Data Breach

Title: Ticketmaster Data Breach

Description: The Vermont Office of the Attorney General reported a data breach incident involving Ticketmaster on July 5, 2024. The unauthorized access occurred between April 2, 2024, and May 18, 2024, potentially affecting personal information such as names and basic contact information, though the exact number of individuals affected is unknown.

Date Detected: 2024-05-18

Date Publicly Disclosed: 2024-07-05

Type: Data Breach

Incident : Data Breach

Title: Ticketmaster LLC Data Breach

Description: Unauthorized access to a cloud database affecting over 1,000 individuals.

Date Detected: 2024-05-18

Date Publicly Disclosed: 2024-06-28

Type: Data Breach

Attack Vector: Unauthorized Access

Incident : Data Breach

Title: Snowflake Data Breach (2024) and Cascading Impact on Ticketmaster

Description: In early 2024, attackers exploited weak credentials and excessive permissions in Snowflake, Inc.'s cloud environment to bypass perimeter defenses. They pivoted laterally into multiple customer environments (e.g., AT&T, Santander Bank, Ticketmaster) and exfiltrated large volumes of sensitive data. Ticketmaster, a Snowflake customer, suffered a breach of 1.3 TB of data affecting 560 million individuals, exposing personally identifiable information (PII) and triggering lawsuits. The incident highlighted systemic risks in cloud security, including misconfigurations, over-privileged identities, and exposed APIs, underscoring the need for integrated defenses like Cloud Native Application Protection Platforms (CNAPP), Zero Trust, and continuous compliance.

Date Detected: early 2024

Type: Data Breach

Attack Vector: Credential StuffingExcessive PermissionsIdentity-Based AttackLateral Movement via Cloud Environment

Vulnerability Exploited: Weak/Stolen CredentialsOver-Privileged AccountsLack of Multi-Factor Authentication (MFA)Misconfigured Cloud Identity and Access Management (IAM)

Motivation: Data TheftFinancial Gain (Potential Dark Web Sale)Disruption

What are the most common types of attacks the company has faced ?

Common Attack Types: The most common types of attacks the company has faced is Breach.

How does the company identify the attack vectors used in incidents ?

Identification of Attack Vectors: The company identifies the attack vectors used in incidents through Third-party customer support chat application, SQL injection vulnerabilitiesInsider access mechanisms and Compromised Snowflake credentials (weak/stolen).

Impact of the Incidents

What was the impact of each incident ?

Incident : Cyberattack TIC212625123

Systems Affected: Ticketmaster website

Operational Impact: Slowdown in ticket sales

Incident : Data Breach TIC451251223

Data Compromised: Names, Addresses, Email addresses, Phone numbers, Payment information, Ticketmaster login credentials

Incident : Data Breach TIC1009070724

Data Compromised: Emails, Phone numbers, Encrypted credit card information, 170,000 ticket barcodes

Brand Reputation Impact: Concerns over customer data privacy and cybersecurity measures

Incident : Data Breach TIC001071824

Data Compromised: Emails, Phone numbers, Encrypted credit card data, Other personal information

Systems Affected: Cloud Storage Services

Brand Reputation Impact: Loss of trust and potential reputational damage

Payment Information Risk: Encrypted Credit Card Data

Incident : Data Breach TIC305060925

Data Compromised: Ticket sales records, Payment methodologies, Customer demographic profiles, Internal fraud resolution documentation, Pii, Financial transaction records, Behavioral analytics data, Customer account credentials, Encrypted payment card information, Transaction histories, Geolocation data, Purchase patterns, Customer support interactions, Business intelligence, Venue partnerships, Artist contractual information, Internal fraud detection algorithms

Systems Affected: SQL databasesProduction databasesNetwork infrastructure

Incident : Data Breach TIC555072725

Data Compromised: Names, Basic contact information

Incident : Data Breach TIC1823618112425

Data Compromised: Personally identifiable information (pii), Customer records, Marketing/analytics data

Systems Affected: Snowflake Cloud EnvironmentTicketmaster DatabasesAT&T Systems (implied)Santander Bank Systems (implied)

Operational Impact: Legal LawsuitsRegulatory ScrutinyCustomer DistrustReputation Damage

Customer Complaints: Numerous lawsuits filed by affected customers

Brand Reputation Impact: Severe (high-profile breach affecting 560M individuals)

Legal Liabilities: Class-Action LawsuitsPotential Regulatory Fines

Identity Theft Risk: High (560M records exposed)

What types of data are most commonly compromised in incidents ?

Commonly Compromised Data Types: The types of data most commonly compromised in incidents are Personal Information, Payment Information, , Emails, Phone Numbers, Encrypted Credit Card Information, , Emails, Phone Numbers, Encrypted Credit Card Data, Other Personal Information, , Pii, Financial Transaction Records, Behavioral Analytics Data, Customer Account Credentials, Encrypted Payment Card Information, Transaction Histories, Geolocation Data, Purchase Patterns, Customer Support Interactions, Business Intelligence, Venue Partnerships, Artist Contractual Information, Internal Fraud Detection Algorithms, , Names, Basic Contact Information, , Pii, Customer Names, Contact Details, Transaction Histories (Implied), Marketing Analytics and .

Which entities were affected by each incident ?

Incident : Cyberattack TIC212625123

Entity Name: Ticketmaster

Entity Type: Company

Industry: Entertainment

Incident : Data Breach TIC451251223

Entity Name: Ticketmaster

Entity Type: Company

Industry: Ticketing and Event Management

Location: UK

Incident : Data Breach TIC1009070724

Entity Name: Ticketmaster

Entity Type: Company

Industry: Entertainment

Customers Affected: 560 million

Incident : Data Breach TIC001071824

Entity Name: Ticketmaster

Entity Type: Company

Industry: Entertainment

Customers Affected: 560000000

Incident : Data Breach TIC305060925

Entity Name: Ticketmaster

Entity Type: Entertainment

Industry: Entertainment

Location: Worldwide

Size: Millions of users

Customers Affected: Millions

Incident : Data Breach TIC555072725

Entity Name: Ticketmaster

Entity Type: Company

Industry: Entertainment

Incident : Data Breach TIC059072825

Entity Name: Ticketmaster LLC

Entity Type: Company

Industry: Entertainment

Customers Affected: Over 1,000 individuals

Incident : Data Breach TIC1823618112425

Entity Name: Snowflake, Inc.

Entity Type: Cloud Data Platform Provider

Industry: Technology/Cloud Computing

Location: Global (HQ: Bozeman, Montana, USA)

Size: Enterprise

Customers Affected: Multiple (including AT&T, Santander Bank, Ticketmaster)

Incident : Data Breach TIC1823618112425

Entity Name: Ticketmaster

Entity Type: Subsidiary of Live Nation Entertainment

Industry: Entertainment/Ticketing

Location: Global (HQ: Beverly Hills, California, USA)

Size: Enterprise

Customers Affected: 560 million individuals

Incident : Data Breach TIC1823618112425

Entity Name: AT&T

Entity Type: Telecommunications

Industry: Telecom

Location: Global (HQ: Dallas, Texas, USA)

Size: Enterprise

Incident : Data Breach TIC1823618112425

Entity Name: Santander Bank

Entity Type: Financial Institution

Industry: Banking/Finance

Location: Global (HQ: Madrid, Spain)

Size: Enterprise

Response to the Incidents

What measures were taken in response to each incident ?

Incident : Data Breach TIC305060925

Remediation Measures: Implement database activity monitoringImplement privileged access management (PAM) solutionsImplement zero-trust architecture principles

Enhanced Monitoring: Real-time threat monitoring capabilities

Incident : Data Breach TIC059072825

Third Party Assistance: TransUnion

Communication Strategy: Notifications sent to impacted consumers on July 8, 2024

How does the company involve third-party assistance in incident response ?

Third-Party Assistance: The company involves third-party assistance in incident response through TransUnion.

Data Breach Information

What type of data was compromised in each breach ?

Incident : Data Breach TIC451251223

Type of Data Compromised: Personal information, Payment information

Incident : Data Breach TIC1009070724

Type of Data Compromised: Emails, Phone numbers, Encrypted credit card information

Number of Records Exposed: 560 million

Sensitivity of Data: High

Data Encryption: Encrypted credit card information

Personally Identifiable Information: emailsphone numbers

Incident : Data Breach TIC001071824

Type of Data Compromised: Emails, Phone numbers, Encrypted credit card data, Other personal information

Number of Records Exposed: 560000000

Sensitivity of Data: High

Data Encryption: ['Encrypted Credit Card Data']

Personally Identifiable Information: EmailsPhone Numbers

Incident : Data Breach TIC305060925

Type of Data Compromised: Pii, Financial transaction records, Behavioral analytics data, Customer account credentials, Encrypted payment card information, Transaction histories, Geolocation data, Purchase patterns, Customer support interactions, Business intelligence, Venue partnerships, Artist contractual information, Internal fraud detection algorithms

Sensitivity of Data: High

Data Exfiltration: DNS tunnelingHTTPS-based covert channels

Data Encryption: ['Encrypted payment card information']

File Types Exposed: SQL databasesCustomer account credentialsTransaction histories

Personally Identifiable Information: Yes

Incident : Data Breach TIC555072725

Type of Data Compromised: Names, Basic contact information

Personally Identifiable Information: namesbasic contact information

Incident : Data Breach TIC059072825

Number of Records Exposed: Over 1,000

Incident : Data Breach TIC1823618112425

Type of Data Compromised: Pii, Customer names, Contact details, Transaction histories (implied), Marketing analytics

Number of Records Exposed: 560 million (Ticketmaster alone)

Sensitivity of Data: High

Data Exfiltration: 1.3 terabytes (Ticketmaster)

Personally Identifiable Information: Yes (names, emails, addresses, phone numbers, etc.)

What measures does the company take to prevent data exfiltration ?

Prevention of Data Exfiltration: The company takes the following measures to prevent data exfiltration: Implement database activity monitoring, Implement privileged access management (PAM) solutions, Implement zero-trust architecture principles, .

Ransomware Information

Was ransomware involved in any of the incidents ?

Incident : Data Breach TIC1009070724

Ransom Demanded: $2 million USD

Data Exfiltration: True

Incident : Data Breach TIC001071824

Ransom Demanded: 2000000

Data Exfiltration: True

Incident : Data Breach TIC1823618112425

Data Exfiltration: Yes (1.3 TB from Ticketmaster)

Regulatory Compliance

Were there any regulatory violations and fines imposed for each incident ?

Incident : Data Breach TIC1823618112425

Legal Actions: Class-Action Lawsuits (Ticketmaster),

How does the company ensure compliance with regulatory requirements ?

Ensuring Regulatory Compliance: The company ensures compliance with regulatory requirements through Class-Action Lawsuits (Ticketmaster), .

Lessons Learned and Recommendations

What lessons were learned from each incident ?

Incident : Data Breach TIC305060925

Lessons Learned: Need for enhanced database encryption, Implementation of multi-factor authentication (MFA), Regular penetration testing, Vulnerability assessments, Incident response planning

Incident : Data Breach TIC1823618112425

Lessons Learned: 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., Lateral movement in cloud ecosystems can escalate a single breach into a multi-tenant disaster., Misconfigurations, over-privileged identities, and exposed APIs are root causes of most cloud breaches., Traditional 'deploy-then-secure' models fail in dynamic cloud environments; security must be integrated by design., Visibility and enforcement must match the speed of cloud adoption to prevent attack paths from becoming actionable., Zero Trust is no longer optional—it is essential to limit lateral movement post-compromise., Regulatory and insurance expectations are shifting from compliance checks to continuous proof of security posture.

What recommendations were made to prevent future incidents ?

Incident : Data Breach TIC305060925

Recommendations: Implement database activity monitoring, Implement privileged access management (PAM) solutions, Implement zero-trust architecture principles, Regular penetration testing, Vulnerability assessments, Incident response planningImplement database activity monitoring, Implement privileged access management (PAM) solutions, Implement zero-trust architecture principles, Regular penetration testing, Vulnerability assessments, Incident response planningImplement database activity monitoring, Implement privileged access management (PAM) solutions, Implement zero-trust architecture principles, Regular penetration testing, Vulnerability assessments, Incident response planningImplement database activity monitoring, Implement privileged access management (PAM) solutions, Implement zero-trust architecture principles, Regular penetration testing, Vulnerability assessments, Incident response planningImplement database activity monitoring, Implement privileged access management (PAM) solutions, Implement zero-trust architecture principles, Regular penetration testing, Vulnerability assessments, Incident response planningImplement database activity monitoring, Implement privileged access management (PAM) solutions, Implement zero-trust architecture principles, Regular penetration testing, Vulnerability assessments, Incident response planning

Incident : Data Breach TIC1823618112425

Recommendations: 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., Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Apply **microsegmentation** to limit lateral movement within cloud environments., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Prioritize **security-by-design** in cloud deployments, embedding controls from the outset., Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging).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., Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Apply **microsegmentation** to limit lateral movement within cloud environments., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Prioritize **security-by-design** in cloud deployments, embedding controls from the outset., Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging).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., Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Apply **microsegmentation** to limit lateral movement within cloud environments., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Prioritize **security-by-design** in cloud deployments, embedding controls from the outset., Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging).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., Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Apply **microsegmentation** to limit lateral movement within cloud environments., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Prioritize **security-by-design** in cloud deployments, embedding controls from the outset., Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging).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., Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Apply **microsegmentation** to limit lateral movement within cloud environments., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Prioritize **security-by-design** in cloud deployments, embedding controls from the outset., Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging).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., Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Apply **microsegmentation** to limit lateral movement within cloud environments., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Prioritize **security-by-design** in cloud deployments, embedding controls from the outset., Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging).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., Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Apply **microsegmentation** to limit lateral movement within cloud environments., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Prioritize **security-by-design** in cloud deployments, embedding controls from the outset., Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging).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., Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Apply **microsegmentation** to limit lateral movement within cloud environments., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Prioritize **security-by-design** in cloud deployments, embedding controls from the outset., Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging).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., Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Apply **microsegmentation** to limit lateral movement within cloud environments., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Prioritize **security-by-design** in cloud deployments, embedding controls from the outset., Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging).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., Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Apply **microsegmentation** to limit lateral movement within cloud environments., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Prioritize **security-by-design** in cloud deployments, embedding controls from the outset., Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging).

What are the key lessons learned from past incidents ?

Key Lessons Learned: The key lessons learned from past incidents are Need for enhanced database encryption,Implementation of multi-factor authentication (MFA),Regular penetration testing,Vulnerability assessments,Incident response planningIdentity 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.,Lateral movement in cloud ecosystems can escalate a single breach into a multi-tenant disaster.,Misconfigurations, over-privileged identities, and exposed APIs are root causes of most cloud breaches.,Traditional 'deploy-then-secure' models fail in dynamic cloud environments; security must be integrated by design.,Visibility and enforcement must match the speed of cloud adoption to prevent attack paths from becoming actionable.,Zero Trust is no longer optional—it is essential to limit lateral movement post-compromise.,Regulatory and insurance expectations are shifting from compliance checks to continuous proof of security posture.

References

Where can I find more information about each incident ?

Incident : Data Breach TIC305060925

Source: HackManac post shared on X Report

Incident : Data Breach TIC555072725

Source: Vermont Office of the Attorney General

Date Accessed: 2024-07-05

Incident : Data Breach TIC059072825

Source: Maine Office of the Attorney General

Date Accessed: 2024-06-28

Incident : Data Breach TIC1823618112425

Source: T-Systems (Article)

Incident : Data Breach TIC1823618112425

Source: Shutterstock (Image Credit: Kjetil Kolbjornsrud)

Where can stakeholders find additional resources on cybersecurity best practices ?

Additional Resources: Stakeholders can find additional resources on cybersecurity best practices at and Source: HackManac post shared on X Report, and Source: Vermont Office of the Attorney GeneralDate Accessed: 2024-07-05, and Source: Maine Office of the Attorney GeneralDate Accessed: 2024-06-28, and Source: T-Systems (Article), and Source: Shutterstock (Image Credit: Kjetil Kolbjornsrud).

Investigation Status

What is the current status of the investigation for each incident ?

Incident : Data Breach TIC1823618112425

Investigation Status: Ongoing (lawsuits pending; no public resolution announced)

How does the company communicate the status of incident investigations to stakeholders ?

Communication of Investigation Status: The company communicates the status of incident investigations to stakeholders through Notifications sent to impacted consumers on July 8 and 2024.

Stakeholder and Customer Advisories

Were there any advisories issued to stakeholders or customers for each incident ?

Incident : Data Breach TIC059072825

Customer Advisories: Identity monitoring services by TransUnion offered for twelve months

Incident : Data Breach TIC1823618112425

Customer Advisories: Ticketmaster notified affected customers; lawsuits filed

What advisories does the company provide to stakeholders and customers following an incident ?

Advisories Provided: The company provides the following advisories to stakeholders and customers following an incident: were Identity monitoring services by TransUnion offered for twelve months, Ticketmaster Notified Affected Customers; Lawsuits Filed and .

Initial Access Broker

How did the initial access broker gain entry for each incident ?

Incident : Data Breach TIC451251223

Entry Point: Third-party customer support chat application

Incident : Data Breach TIC305060925

Entry Point: Sql Injection Vulnerabilities, Insider Access Mechanisms,

Reconnaissance Period: Extended

Backdoors Established: Yes

High Value Targets: Customer Data, Business Intelligence, Internal Fraud Detection Algorithms,

Data Sold on Dark Web: Customer Data, Business Intelligence, Internal Fraud Detection Algorithms,

Incident : Data Breach TIC1823618112425

Entry Point: Compromised Snowflake credentials (weak/stolen)

High Value Targets: Customer Databases (E.G., Ticketmaster), Marketing/Analytics Data,

Data Sold on Dark Web: Customer Databases (E.G., Ticketmaster), Marketing/Analytics Data,

Post-Incident Analysis

What were the root causes and corrective actions taken for each incident ?

Incident : Data Breach TIC001071824

Root Causes: Lack Of Multi-Factor Authentication, Vulnerabilities In Cloud Storage Services,

Incident : Data Breach TIC305060925

Root Causes: Sql Injection Vulnerabilities, Insider Access Mechanisms, Zero-Day Vulnerabilities, Lack Of Sufficient Security Measures,

Corrective Actions: Implement Database Activity Monitoring, Implement Privileged Access Management (Pam) Solutions, Implement Zero-Trust Architecture Principles,

Incident : Data Breach TIC1823618112425

Root Causes: Weak Or Stolen Credentials In Snowflake Accounts., Excessive Permissions Granted To User Accounts (Lack Of Least-Privilege Principle)., Lack Of Mfa Or Robust Identity Protection Mechanisms., Misconfigured Cloud Iam Policies Enabling Lateral Movement., Over-Reliance On Perimeter Defenses In A Cloud Environment Where Identity Is The Perimeter., Third-Party Risk Management Gaps (Snowflake’S Security Posture Impacted Customers)., Dynamic Cloud Environments Outpacing Governance And Visibility Tools.,

Corrective Actions: Snowflake: Enforced Mfa For All Accounts, Audited Customer Permissions, And Enhanced Monitoring (Implied)., Ticketmaster: Likely Implemented Stricter Access Controls And Data Encryption (Not Detailed)., Industry-Wide Push Toward Cnapp Adoption And Zero Trust Frameworks., Increased Regulatory And Board-Level Demand For Continuous Cloud Security Assurance.,

What is the company's process for conducting post-incident analysis ?

Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Real-Time Threat Monitoring Capabilities, , TransUnion.

What corrective actions has the company taken based on post-incident analysis ?

Corrective Actions Taken: The company has taken the following corrective actions based on post-incident analysis: Implement Database Activity Monitoring, Implement Privileged Access Management (Pam) Solutions, Implement Zero-Trust Architecture Principles, , Snowflake: Enforced Mfa For All Accounts, Audited Customer Permissions, And Enhanced Monitoring (Implied)., Ticketmaster: Likely Implemented Stricter Access Controls And Data Encryption (Not Detailed)., Industry-Wide Push Toward Cnapp Adoption And Zero Trust Frameworks., Increased Regulatory And Board-Level Demand For Continuous Cloud Security Assurance., .

Additional Questions

General Information

What was the amount of the last ransom demanded ?

Last Ransom Demanded: The amount of the last ransom demanded was $2 million USD.

Who was the attacking group in the last incident ?

Last Attacking Group: The attacking group in the last incident were an Hacker Group, Criminal Hackers and Arkana Security Group.

Incident Details

What was the most recent incident detected ?

Most Recent Incident Detected: The most recent incident detected was on November.

What was the most recent incident publicly disclosed ?

Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2024-06-28.

Impact of the Incidents

What was the most significant data compromised in an incident ?

Most Significant Data Compromised: The most significant data compromised in an incident were names, addresses, email addresses, phone numbers, payment information, Ticketmaster login credentials, , emails, phone numbers, encrypted credit card information, 170,000 ticket barcodes, , Emails, Phone Numbers, Encrypted Credit Card Data, Other Personal Information, , Ticket sales records, Payment methodologies, Customer demographic profiles, Internal fraud resolution documentation, PII, Financial transaction records, Behavioral analytics data, Customer account credentials, Encrypted payment card information, Transaction histories, Geolocation data, Purchase patterns, Customer support interactions, Business intelligence, Venue partnerships, Artist contractual information, Internal fraud detection algorithms, , names, basic contact information, , Personally Identifiable Information (PII), Customer Records, Marketing/Analytics Data and .

What was the most significant system affected in an incident ?

Most Significant System Affected: The most significant system affected in an incident was Ticketmaster website and Cloud Storage Services and SQL databasesProduction databasesNetwork infrastructure and Snowflake Cloud EnvironmentTicketmaster DatabasesAT&T Systems (implied)Santander Bank Systems (implied).

Response to the Incidents

What third-party assistance was involved in the most recent incident ?

Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was TransUnion.

Data Breach Information

What was the most sensitive data compromised in a breach ?

Most Sensitive Data Compromised: The most sensitive data compromised in a breach were Purchase patterns, Phone Numbers, Internal fraud resolution documentation, Geolocation data, encrypted credit card information, phone numbers, addresses, Ticketmaster login credentials, Venue partnerships, Marketing/Analytics Data, Financial transaction records, 170,000 ticket barcodes, Customer support interactions, Personally Identifiable Information (PII), Encrypted Credit Card Data, Customer demographic profiles, basic contact information, Ticket sales records, Other Personal Information, Artist contractual information, Customer Records, emails, email addresses, names, payment information, Payment methodologies, Emails, Internal fraud detection algorithms, Business intelligence, PII, Behavioral analytics data, Customer account credentials, Transaction histories and Encrypted payment card information.

What was the number of records exposed in the most significant breach ?

Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 1.1B.

Ransomware Information

Regulatory Compliance

What was the most significant legal action taken for a regulatory violation ?

Most Significant Legal Action: The most significant legal action taken for a regulatory violation was Class-Action Lawsuits (Ticketmaster), .

Lessons Learned and Recommendations

What was the most significant lesson learned from past incidents ?

Most Significant Lesson Learned: The most significant lesson learned from past incidents was Regulatory and insurance expectations are shifting from compliance checks to continuous proof of security posture.

What was the most significant recommendation implemented to improve cybersecurity ?

Most Significant Recommendation Implemented: The most significant recommendation implemented to improve cybersecurity was Implement database activity monitoring, Prepare for **regulatory scrutiny** by maintaining continuous compliance evidence (e.g., automated audits, logging)., Incident response planning, Vulnerability assessments, Adopt a **Cloud Native Application Protection Platform (CNAPP)** to unify posture, workload, and identity analytics., Implement zero-trust architecture principles, Implement **Zero Trust Architecture** with strict least-privilege access and continuous authentication., Conduct **continuous posture evaluations** to anticipate attack paths before they are exploited., Treat **API security as a frontline defense**, not an afterthought (e.g., API gateways, runtime protection)., Partner with **managed security providers** to address scale and signal-to-noise challenges., Shift from **point solutions** to **integrated security architectures** that correlate risks across posture, identity, and runtime., Regular penetration testing, Apply **microsegmentation** to limit lateral movement within cloud environments., Implement privileged access management (PAM) solutions, Enforce **Multi-Factor Authentication (MFA)** for all cloud accounts, especially high-privilege roles., Prioritize **security-by-design** in cloud deployments and embedding controls from the outset..

References

What is the most recent source of information about an incident ?

Most Recent Source: The most recent source of information about an incident are HackManac post shared on X Report, Shutterstock (Image Credit: Kjetil Kolbjornsrud), T-Systems (Article), Maine Office of the Attorney General and Vermont Office of the Attorney General.

Investigation Status

What is the current status of the most recent investigation ?

Current Status of Most Recent Investigation: The current status of the most recent investigation is Ongoing (lawsuits pending; no public resolution announced).

Stakeholder and Customer Advisories

What was the most recent customer advisory issued ?

Most Recent Customer Advisory: The most recent customer advisory issued were an Identity monitoring services by TransUnion offered for twelve months and Ticketmaster notified affected customers; lawsuits filed.

Initial Access Broker

What was the most recent entry point used by an initial access broker ?

Most Recent Entry Point: The most recent entry point used by an initial access broker were an Third-party customer support chat application and Compromised Snowflake credentials (weak/stolen).

What was the most recent reconnaissance period for an incident ?

Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was Extended.

Post-Incident Analysis

What was the most significant root cause identified in post-incident analysis ?

Most Significant Root Cause: The most significant root cause identified in post-incident analysis was Lack of multi-factor authenticationVulnerabilities in cloud storage services, SQL injection vulnerabilitiesInsider access mechanismsZero-day vulnerabilitiesLack of sufficient security measures, Weak or stolen credentials in Snowflake accounts.Excessive permissions granted to user accounts (lack of least-privilege principle).Lack of MFA or robust identity protection mechanisms.Misconfigured cloud IAM policies enabling lateral movement.Over-reliance on perimeter defenses in a cloud environment where identity is the perimeter.Third-party risk management gaps (Snowflake’s security posture impacted customers).Dynamic cloud environments outpacing governance and visibility tools..

What was the most significant corrective action taken based on post-incident analysis ?

Most Significant Corrective Action: The most significant corrective action taken based on post-incident analysis was Implement database activity monitoringImplement privileged access management (PAM) solutionsImplement zero-trust architecture principles, Snowflake: Enforced MFA for all accounts, audited customer permissions, and enhanced monitoring (implied).Ticketmaster: Likely implemented stricter access controls and data encryption (not detailed).Industry-wide push toward CNAPP adoption and Zero Trust frameworks.Increased regulatory and board-level demand for continuous cloud security assurance..

cve

Latest Global CVEs (Not Company-Specific)

Description

Angular is a development platform for building mobile and desktop web applications using TypeScript/JavaScript and other languages. Prior to versions 19.2.16, 20.3.14, and 21.0.1, there is a XSRF token leakage via protocol-relative URLs in angular HTTP clients. The vulnerability is a Credential Leak by App Logic that leads to the unauthorized disclosure of the Cross-Site Request Forgery (XSRF) token to an attacker-controlled domain. Angular's HttpClient has a built-in XSRF protection mechanism that works by checking if a request URL starts with a protocol (http:// or https://) to determine if it is cross-origin. If the URL starts with protocol-relative URL (//), it is incorrectly treated as a same-origin request, and the XSRF token is automatically added to the X-XSRF-TOKEN header. This issue has been patched in versions 19.2.16, 20.3.14, and 21.0.1. A workaround for this issue involves avoiding using protocol-relative URLs (URLs starting with //) in HttpClient requests. All backend communication URLs should be hardcoded as relative paths (starting with a single /) or fully qualified, trusted absolute URLs.

Risk Information
cvss4
Base: 7.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Uncontrolled Recursion vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft deep ASN.1 structures that trigger unbounded recursive parsing. This leads to a Denial-of-Service (DoS) via stack exhaustion when parsing untrusted DER inputs. This issue has been patched in version 1.3.2.

Risk Information
cvss4
Base: 8.7
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Forge (also called `node-forge`) is a native implementation of Transport Layer Security in JavaScript. An Integer Overflow vulnerability in node-forge versions 1.3.1 and below enables remote, unauthenticated attackers to craft ASN.1 structures containing OIDs with oversized arcs. These arcs may be decoded as smaller, trusted OIDs due to 32-bit bitwise truncation, enabling the bypass of downstream OID-based security decisions. This issue has been patched in version 1.3.2.

Risk Information
cvss4
Base: 6.3
Severity: LOW
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Description

Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. Prior to versions 7.0.13 and 8.0.2, working with large buffers in Lua scripts can lead to a stack overflow. Users of Lua rules and output scripts may be affected when working with large buffers. This includes a rule passing a large buffer to a Lua script. This issue has been patched in versions 7.0.13 and 8.0.2. A workaround for this issue involves disabling Lua rules and output scripts, or making sure limits, such as stream.depth.reassembly and HTTP response body limits (response-body-limit), are set to less than half the stack size.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
Description

Suricata is a network IDS, IPS and NSM engine developed by the OISF (Open Information Security Foundation) and the Suricata community. In versions from 8.0.0 to before 8.0.2, a NULL dereference can occur when the entropy keyword is used in conjunction with base64_data. This issue has been patched in version 8.0.2. A workaround involves disabling rules that use entropy in conjunction with base64_data.

Risk Information
cvss3
Base: 7.5
Severity: LOW
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

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These are some of the factors we use to calculate the overall score:

Network Security

Identify exposed access points, detect misconfigured SSL certificates, and uncover vulnerabilities across the network infrastructure.

SBOM (Software Bill of Materials)

Gain visibility into the software components used within an organization to detect vulnerabilities, manage risk, and ensure supply chain security.

CMDB (Configuration Management Database)

Monitor and manage all IT assets and their configurations to ensure accurate, real-time visibility across the company's technology environment.

Threat Intelligence

Leverage real-time insights on active threats, malware campaigns, and emerging vulnerabilities to proactively defend against evolving cyberattacks.

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Rankiteo is a unified scoring and risk platform that analyzes billions of signals weekly to help organizations gain faster, more actionable insights into emerging threats. Empowering teams to outpace adversaries and reduce exposure.
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