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Analyze » Legends Global » LEG1783456078

Incident Score: Analysis & Impact (LEG1783456078)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-83
Company Score Before Incident783 / 1000
Company Score After Incident700 / 1000
Company LinkView Legends Global Profile
INCIDENT NUMBERLEG1783456078
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal data, including names,...
INCIDENT DATE31/10/2024
STATUSSettled

Key Highlights From The Incident Analysis

  • Timeline of Legends Global's Breach and lateral movement inside company's environment.
  • Overview of affected data sets, including SSNs and PHI, and why they materially increase incident severity.
  • How Rankiteo’s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts Legends Global Rankiteo cyber scoring and cyber rating.
  • Rankiteo’s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the Legends Global breach identified under incident ID LEG1783456078.

The analysis begins with a detailed overview of Legends Global's information like the linkedin page: https://www.linkedin.com/company/legends, the number of followers: 143022, the industry type: Entertainment Providers and the number of employees: 7737 employees

After the initial compromise, the video explains how Rankiteo's incident engine converts technical details into a normalized incident score. The incident score before the incident was 783 and after the incident was 700 with a difference of -83 which is could be a good indicator of the severity and impact of the incident.

In the next step of the video, we will analyze in more details the incident and the impact it had on Legends Global and their customers.

Legends Hospitality LLC recently reported "Legends Hospitality Data Breach Class Action Settlement", a noteworthy cybersecurity incident.

Legends Hospitality LLC agreed to an $812,900 settlement to resolve a class action lawsuit stemming from cyberattacks in November 2024, December 2024, and January 2025 that exposed sensitive personal data, including names, dates of birth, Social Security numbers, driver’s lice...

The disruption is felt across the environment, and exposing Sensitive personal data, including names, dates of birth, Social Security numbers, driver’s license details, financial data, medical information, and health insurance records, plus an estimated financial loss of 812900.

In response, and stakeholders are being briefed through Customer advisories and settlement notices.

The case underscores how Settled, with advisories going out to stakeholders covering Eligibility and compensation details provided to affected individuals.

Finally, we try to match the incident with the MITRE ATT&CK framework to see if there is any correlation between the incident and the MITRE ATT&CK framework.

The MITRE ATT&CK framework is a knowledge base of techniques and sub-techniques that are used to describe the tactics and procedures of cyber adversaries. It is a powerful tool for understanding the threat landscape and for developing effective defense strategies.

MITRE ATT&CK® Correlation Analysis

Rankiteo's analysis has identified several MITRE ATT&CK tactics and techniques associated with this incident, each with varying levels of confidence based on available evidence. Under the Initial Access tactic, the analysis identified Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating cyberattacks in November 2024, December 2024, and January 2025 and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating alleged failure to adequately protect customer data. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (50%), supported by evidence indicating exposed sensitive personal data, including Social Security numbers and Brute Force (T1110) with lower confidence (40%), supported by evidence indicating alleged failure to adequately protect customer data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, dates of birth, SSNs, driver’s license, financial, medical data and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating health insurance records and medical information compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach settlement for $812,900 due to exposed sensitive data and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating high sensitivity of compromised data (SSNs, financial, medical). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating alleged failure to protect data leading to class action settlement and Defacement (T1491) with lower confidence (30%), supported by evidence indicating brand reputation impact implied by settlement. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (60%)
Valid Accounts (50%)
Credential Access
Modify Authentication Process (50%)
Brute Force (40%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (40%)
Defacement (30%)

Sources & References