Company Details
live-nation
23,586
805,347
71
livenationentertainment.com
0
LIV_8520756
In-progress

Live Nation Entertainment Company CyberSecurity Posture
livenationentertainment.comRecognized three years in a row by Great Place to Work® and named one of People Magazine’s Top 50 Companies that Care, Live Nation Entertainment is the global leader in live events and ticketing. With business operations and corporate functions across major divisions including Ticketmaster, Concerts, Media & Sponsorship and Artist Nation, we offer exciting opportunities across every discipline. Generous vacation, healthcare, and retirement benefits are just some of the perks we offer our full-time, global workforce. For any stage in your career, our benefits are designed to help you live life to the fullest. We offer student loan repayment, 6 months paid caregiver leave, Roadie Babies (bring your little ones & a caretaker on your work trips), Music@Home (cultivate your little ones music interest), and tuition reimbursement for ongoing career development. Plus, you'll have access to free concerts, festivals, and more through our exclusive employee ticket concierge.
Company Details
live-nation
23,586
805,347
71
livenationentertainment.com
0
LIV_8520756
In-progress
Between 800 and 849

LNE Global Score (TPRM)XXXX

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.
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.
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.
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.
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.
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.
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.
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.


No incidents recorded for Live Nation Entertainment in 2025.
No incidents recorded for Live Nation Entertainment in 2025.
No incidents recorded for Live Nation Entertainment in 2025.
LNE cyber incidents detection timeline including parent company and subsidiaries

Recognized three years in a row by Great Place to Work® and named one of People Magazine’s Top 50 Companies that Care, Live Nation Entertainment is the global leader in live events and ticketing. With business operations and corporate functions across major divisions including Ticketmaster, Concerts, Media & Sponsorship and Artist Nation, we offer exciting opportunities across every discipline. Generous vacation, healthcare, and retirement benefits are just some of the perks we offer our full-time, global workforce. For any stage in your career, our benefits are designed to help you live life to the fullest. We offer student loan repayment, 6 months paid caregiver leave, Roadie Babies (bring your little ones & a caretaker on your work trips), Music@Home (cultivate your little ones music interest), and tuition reimbursement for ongoing career development. Plus, you'll have access to free concerts, festivals, and more through our exclusive employee ticket concierge.

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Live Nation Entertainment Inc (LYV) reports robust financial performance with significant international growth, despite challenges in the...
Live Nation Entertainment will release its third-quarter earnings next month, and analysts anticipate a double-digit profit dip.
Live Nation Entertainment, Inc. (NYSE: LYV), the world's leading live entertainment company, has announced a time change for their upcoming...
Live Nation Entertainment, Inc. (NYSE: LYV), the world's leading live entertainment company, has scheduled two investor events:
LOS ANGELES , Oct. 8, 2025 /PRNewswire/ -- Live Nation Entertainment , Inc. (NYSE: LYV) (the "company") today announced that it priced its...
Live Nation Entertainment, Inc. (NYSE: LYV) (the "company") today announced that it intends to offer, subject to market and other conditions...
Sen. Marsha Blackburn (R-Tenn.) demanded Ticketmaster explain whether it misled Congress in 2023 about its handling of bot scalpers – days...
The complaint argues that resellers often use fake accounts to buy thousands of tickets, shutting out everyday fans.
Live Nation Entertainment, Inc. (LYV), headquartered in Beverly Hills, California, has become a dominant player in the global live music...

Explore insights on cybersecurity incidents, risk posture, and Rankiteo's assessments.
The official website of Live Nation Entertainment is http://livenationentertainment.com.
According to Rankiteo, Live Nation Entertainment’s AI-generated cybersecurity score is 813, reflecting their Good security posture.
According to Rankiteo, Live Nation Entertainment currently holds 0 security badges, indicating that no recognized compliance certifications are currently verified for the organization.
According to Rankiteo, Live Nation Entertainment is not certified under SOC 2 Type 1.
According to Rankiteo, Live Nation Entertainment does not hold a SOC 2 Type 2 certification.
According to Rankiteo, Live Nation Entertainment is not listed as GDPR compliant.
According to Rankiteo, Live Nation Entertainment does not currently maintain PCI DSS compliance.
According to Rankiteo, Live Nation Entertainment is not compliant with HIPAA regulations.
According to Rankiteo,Live Nation Entertainment is not certified under ISO 27001, indicating the absence of a formally recognized information security management framework.
Live Nation Entertainment operates primarily in the Entertainment Providers industry.
Live Nation Entertainment employs approximately 23,586 people worldwide.
Live Nation Entertainment presently has no subsidiaries across any sectors.
Live Nation Entertainment’s official LinkedIn profile has approximately 805,347 followers.
Live Nation Entertainment is classified under the NAICS code 71, which corresponds to Arts, Entertainment, and Recreation.
Yes, Live Nation Entertainment has an official profile on Crunchbase, which can be accessed here: https://www.crunchbase.com/organization/live-nation-entertainment.
Yes, Live Nation Entertainment maintains an official LinkedIn profile, which is actively utilized for branding and talent engagement, which can be accessed here: https://www.linkedin.com/company/live-nation.
As of November 27, 2025, Rankiteo reports that Live Nation Entertainment has experienced 8 cybersecurity incidents.
Live Nation Entertainment has an estimated 7,232 peer or competitor companies worldwide.
Incident Types: The types of cybersecurity incidents that have occurred include Breach and Cyber Attack.
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..
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
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
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
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
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
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
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
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
Common Attack Types: The most common types of attacks the company has faced is Breach.
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).

Systems Affected: Ticketmaster website
Operational Impact: Slowdown in ticket sales

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

Data Compromised: Emails, Phone numbers, Encrypted credit card information, 170,000 ticket barcodes
Brand Reputation Impact: Concerns over customer data privacy and cybersecurity measures

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

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

Data Compromised: Names, Basic contact information

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)
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 .

Entity Name: Ticketmaster
Entity Type: Company
Industry: Entertainment

Entity Name: Ticketmaster
Entity Type: Company
Industry: Ticketing and Event Management
Location: UK

Entity Name: Ticketmaster
Entity Type: Company
Industry: Entertainment
Customers Affected: 560 million

Entity Name: Ticketmaster
Entity Type: Company
Industry: Entertainment
Customers Affected: 560000000

Entity Name: Ticketmaster
Entity Type: Entertainment
Industry: Entertainment
Location: Worldwide
Size: Millions of users
Customers Affected: Millions

Entity Name: Ticketmaster
Entity Type: Company
Industry: Entertainment

Entity Name: Ticketmaster LLC
Entity Type: Company
Industry: Entertainment
Customers Affected: Over 1,000 individuals

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)

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

Entity Name: AT&T
Entity Type: Telecommunications
Industry: Telecom
Location: Global (HQ: Dallas, Texas, USA)
Size: Enterprise

Entity Name: Santander Bank
Entity Type: Financial Institution
Industry: Banking/Finance
Location: Global (HQ: Madrid, Spain)
Size: Enterprise

Remediation Measures: Implement database activity monitoringImplement privileged access management (PAM) solutionsImplement zero-trust architecture principles
Enhanced Monitoring: Real-time threat monitoring capabilities

Third Party Assistance: TransUnion
Communication Strategy: Notifications sent to impacted consumers on July 8, 2024
Third-Party Assistance: The company involves third-party assistance in incident response through TransUnion.

Type of Data Compromised: Personal information, Payment information

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

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

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

Type of Data Compromised: Names, Basic contact information
Personally Identifiable Information: namesbasic contact information

Number of Records Exposed: Over 1,000

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.)
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, .

Data Exfiltration: Yes (1.3 TB from Ticketmaster)

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

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

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.

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

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).
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.

Source: HackManac post shared on X Report

Source: Vermont Office of the Attorney General
Date Accessed: 2024-07-05

Source: Maine Office of the Attorney General
Date Accessed: 2024-06-28

Source: T-Systems (Article)

Source: Shutterstock (Image Credit: Kjetil Kolbjornsrud)
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: Ongoing (lawsuits pending; no public resolution announced)
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.

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

Customer Advisories: Ticketmaster notified affected customers; lawsuits filed
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 .

Entry Point: Third-party customer support chat application

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,

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,

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

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,

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.,
Post-Incident Analysis Process: The company's process for conducting post-incident analysis is described as Real-Time Threat Monitoring Capabilities, , TransUnion.
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., .
Last Ransom Demanded: The amount of the last ransom demanded was $2 million USD.
Last Attacking Group: The attacking group in the last incident were an Hacker Group, Criminal Hackers and Arkana Security Group.
Most Recent Incident Detected: The most recent incident detected was on November.
Most Recent Incident Publicly Disclosed: The most recent incident publicly disclosed was on 2024-06-28.
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 .
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).
Third-Party Assistance in Most Recent Incident: The third-party assistance involved in the most recent incident was TransUnion.
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.
Number of Records Exposed in Most Significant Breach: The number of records exposed in the most significant breach was 1.1B.
Most Significant Legal Action: The most significant legal action taken for a regulatory violation was Class-Action Lawsuits (Ticketmaster), .
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.
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..
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.
Current Status of Most Recent Investigation: The current status of the most recent investigation is Ongoing (lawsuits pending; no public resolution announced).
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.
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).
Most Recent Reconnaissance Period: The most recent reconnaissance period for an incident was Extended.
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..
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..
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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.
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.
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.
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.
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.

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