Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Robbie D. Wood, Inc. » ROB1779474698

Incident Score: Analysis & Impact (ROB1779474698)

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 Incident749 / 1000
Company Score After Incident660 / 1000
INCIDENT NUMBERROB1779474698
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal data, including names,...
INCIDENT DATE30/09/2024
STATUSSettled (class action)

Key Highlights From The Incident Analysis

  • Timeline of Robbie D. Wood, Inc.'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 Robbie D. Wood, Inc. 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 Robbie D. Wood, Inc. breach identified under incident ID ROB1779474698.

The analysis begins with a detailed overview of Robbie D. Wood, Inc.'s information like the linkedin page: https://www.linkedin.com/company/robbiedwood, the number of followers: 1001, the industry type: Truck Transportation and the number of employees: 92 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 749 and after the incident was 660 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 Robbie D. Wood, Inc. and their customers.

Robbie D. Wood Inc. recently reported "Robbie D. Wood Inc. Data Breach Settlement", a noteworthy cybersecurity incident.

In October 2024, Robbie D.

The disruption is felt across the environment, and exposing Sensitive personal data, including names, dates of birth, driver’s license numbers, financial account details, medical information, and Social Security numbers, plus an estimated financial loss of $125,000 (attorneys’ fees) + $3,000 (service award) + settlement payouts.

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

The case underscores how Settled (class action), with advisories going out to stakeholders covering Settlement notice with compensation options.

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 (50%), supported by evidence indicating suffered a targeted cyberattack that exposed sensitive personal data and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating failure to adequately protect this information (implies weak access controls). Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating exposed...financial account details, medical information, and Social Security numbers and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating driver’s license numbers and financial account details compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating exposed sensitive personal data, including names, dates of birth, driver’s license numbers and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating medical information and Social Security numbers compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating targeted cyberattack that exposed sensitive personal data (implies exfiltration) and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating data breach with high identity theft risk (implies possible cloud exfiltration). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating failure to adequately protect this information (implies possible data integrity impact) and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating high identity theft risk (implies potential data manipulation). 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 (50%)
Valid Accounts (60%)
Credential Access
Unsecured Credentials (70%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (40%)
Impact
Data Destruction (30%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References