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Analyze » Trig's » TRI1783377833

Incident Score: Analysis & Impact (TRI1783377833)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-61
Company Score Before Incident757 / 1000
Company Score After Incident696 / 1000
INCIDENT NUMBERTRI1783377833
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal and health information,...
INCIDENT DATE02/07/2023
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Trig's'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 Trig's 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 Trig's breach identified under incident ID TRI1783377833.

The analysis begins with a detailed overview of Trig's's information like the linkedin page: https://www.linkedin.com/company/trig's, the number of followers: 674, the industry type: Retail Groceries and the number of employees: 221 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 757 and after the incident was 696 with a difference of -61 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 Trig's and their customers.

On 03 July 2023, T.A. Solberg Co. Inc. disclosed Data Breach issues under the banner "T.A. Solberg Co. Inc. Data Breach Exposing Sensitive Consumer Information".

T.A.

The disruption is felt across the environment, affecting Network systems, and exposing Sensitive personal and health information, including names, Social Security numbers, driver’s license and passport details, financial account information, medical records, and health insurance data.

In response, and stakeholders are being briefed through Notification to affected individuals, establishment of a dedicated helpline (1-888-289-2777), referral to FTC for identity theft prevention resources.

The case underscores how Ongoing, with advisories going out to stakeholders covering Monitor accounts, credit reports, and insurance statements for suspicious activity. Referral to FTC for identity theft prevention resources.

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 access to its network systems and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating no details on attack vector or vulnerability exploited. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating unauthorized individual viewed and exfiltrated sensitive data and Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating access to network systems containing sensitive data. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating files containing highly sensitive data viewed and exfiltrated and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating medical records, health insurance data compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration confirmed by unauthorized individual and Exfiltration Over Web Service (T1567) with moderate confidence (50%), supported by evidence indicating no details on exfiltration method provided. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but unauthorized access occurred and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized individual viewed and exfiltrated files. 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
OS Credential Dumping (50%)
Unsecured Credentials (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service (50%)
Impact
Data Destruction (30%)
Stored Data Manipulation (40%)

Sources & References