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Analyze » Wynn Resorts » TRIWYNCOG1772159592

Incident Score: Analysis & Impact (TRIWYNCOG1772159592)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-74
Company Score Before Incident680 / 1000
Company Score After Incident606 / 1000
INCIDENT NUMBERTRIWYNCOG1772159592
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive data of 3.4 million...
INCIDENT DATE31/12/2023
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Wynn Resorts'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 Wynn Resorts 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 Wynn Resorts breach identified under incident ID TRIWYNCOG1772159592.

The analysis begins with a detailed overview of Wynn Resorts's information like the linkedin page: https://www.linkedin.com/company/wynnresorts, the number of followers: 21446, the industry type: Hospitality and the number of employees: 6847 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 680 and after the incident was 606 with a difference of -74 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 Wynn Resorts and their customers.

TriZetto Provider Solutions recently reported "TriZetto Provider Solutions Breach Exposes Data of Over 3.4 Million Individuals", a noteworthy cybersecurity incident.

In a major cybersecurity incident, TriZetto Provider Solutions, a health insurance technology subsidiary of Cognizant, reported that the sensitive data of 3.4 million individuals was stolen in a 2024 breach.

The disruption is felt across the environment, affecting Billing and Customer delivery operations, and exposing Sensitive data of 3.4 million individuals, with nearly 3.4 million records at risk.

In response, and stakeholders are being briefed through Offered credit monitoring services to affected employees.

The case underscores how teams are taking away lessons such as The incident highlights the growing risk of extortion-based cyberattacks and the challenges organizations face in confirming the true scope of data compromise and the effectiveness of attacker promises, with advisories going out to stakeholders covering Credit monitoring services offered to affected employees.

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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating compromised employee data and disrupted IT systems and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating attack disrupted billing and customer delivery operations. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating sensitive data of 3.4 million individuals was stolen and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating employee data compromised, including high-risk identity theft. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating data of 3.4 million individuals was stolen and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating billing and customer delivery operations disrupted. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating shinyHunters hacking group attributed to the attack and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data deletion claims may indicate ransom payment. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating extortion-based cyberattack with possible ransom payment and Defacement (T1491) with lower confidence (40%), supported by evidence indicating disrupted IT systems, including billing operations. Under the Defense Evasion tactic, the analysis identified Indicator Removal (T1070) with moderate confidence (60%), supported by evidence indicating shinyHunters claimed to have deleted stolen data and Hide Artifacts (T1564) with moderate confidence (50%), supported by evidence indicating no reliable way to verify deletion claims. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (60%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (70%)
OS Credential Dumping (60%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (70%)
Impact
Data Encrypted for Impact (50%)
Defacement (40%)
Defense Evasion
Indicator Removal (60%)
Hide Artifacts (50%)

Sources & References