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Analyze » Mason Construction, LLC » MAS1773184359

Incident Score: Analysis & Impact (MAS1773184359)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-89
Company Score Before Incident753 / 1000
Company Score After Incident664 / 1000
INCIDENT NUMBERMAS1773184359
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDNames, Social Security numbers, driver’s...
INCIDENT DATE31/12/2023
STATUSSettled (class action)

Key Highlights From The Incident Analysis

  • Timeline of Mason Construction, LLC'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 Mason Construction, LLC 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 Mason Construction, LLC breach identified under incident ID MAS1773184359.

The analysis begins with a detailed overview of Mason Construction, LLC's information like the linkedin page: https://www.linkedin.com/company/mason-construction, the number of followers: 6136, the industry type: Construction and the number of employees: 258 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 753 and after the incident was 664 with a difference of -89 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 Mason Construction, LLC and their customers.

Mason Construction LLC recently reported "Mason Construction Data Breach Settlement", a noteworthy cybersecurity incident.

In January 2024, Mason Construction LLC experienced a cyberattack in which an unauthorized user accessed sensitive personal data, including names, Social Security numbers, driver’s license numbers, financial information, and medical and health insurance details.

The disruption is felt across the environment, and exposing Names, Social Security numbers, driver’s license numbers, financial information, medical and health insurance details, plus an estimated financial loss of $250,000 (attorneys' fees) + settlement fund.

In response, and stakeholders are being briefed through Settlement notice to affected individuals.

The case underscores how Settled (class action), teams are taking away lessons such as Highlights the risks of inadequate data protection in the construction sector, with advisories going out to stakeholders covering Settlement notice with compensation details.

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 unauthorized user accessed sensitive personal data and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating alleged failure to adequately protect sensitive data. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating alleged failure to adequately protect sensitive data and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating unauthorized user accessed sensitive personal data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, Social Security numbers, driver’s license numbers, financial information and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating medical and health insurance details compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating sensitive personal data accessed by unauthorized user and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating high-risk data exposure (PII, financial, medical). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating class action settlement for data protection failure and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating identity theft or fraud losses linked to the breach. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized access without detection (implied by settlement) and Impair Defenses: Disable or Modify Tools (T1562.001) with lower confidence (40%), supported by evidence indicating alleged failure to adequately protect sensitive data. 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 (40%)
Credential Access
Unsecured Credentials (70%)
Brute Force (50%)
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 (30%)
Data Manipulation: Transmitted Data Manipulation (40%)
Defense Evasion
Valid Accounts (60%)
Impair Defenses: Disable or Modify Tools (40%)

Sources & References