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Analyze » Greenbaum, Rowe, Smith & Davis LLP » TRIGREATL1783600896

Incident Score: Analysis & Impact (TRIGREATL1783600896)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-81
Company Score Before Incident752 / 1000
Company Score After Incident671 / 1000
Company LinkView Greenbaum, Rowe, Smith & Davis LLP Profile
INCIDENT NUMBERTRIGREATL1783600896
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDProtected health information (PHI), names,...
INCIDENT DATE31/07/2023
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Greenbaum, Rowe, Smith & Davis LLP'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 Greenbaum, Rowe, Smith & Davis LLP 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 Greenbaum, Rowe, Smith & Davis LLP breach identified under incident ID TRIGREATL1783600896.

The analysis begins with a detailed overview of Greenbaum, Rowe, Smith & Davis LLP's information like the linkedin page: https://www.linkedin.com/company/greenbaum-rowe-smith-&-davis-llp, the number of followers: 2649, the industry type: Law Practice and the number of employees: 195 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 752 and after the incident was 671 with a difference of -81 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 Greenbaum, Rowe, Smith & Davis LLP and their customers.

Greenbaum Rowe Smith & Davis LLP recently reported "New Jersey Law Firm Breach Exposes Nearly 13,000 Patients’ Sensitive Data", a noteworthy cybersecurity incident.

A cybersecurity breach at New Jersey-based law firm Greenbaum Rowe Smith & Davis LLP has compromised the personal and medical information of approximately 12,800 patients across multiple major health systems.

The disruption is felt across the environment, and exposing Protected health information (PHI), names, Social Security numbers, medical records, health insurance details, with nearly 12,800 records at risk.

In response, and stakeholders are being briefed through Patient notifications, dedicated assistance line.

The case underscores how Ongoing, with advisories going out to stakeholders covering Free identity theft protection and credit monitoring through IDX, dedicated assistance line.

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 Trusted Relationship (T1199) with high confidence (90%), with evidence including greenbaum Rowe...provides legal services to healthcare providers, and third-party vendors to fall victim to cybercriminals and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating suspicious activity was detected within the firm’s network (implies account misuse). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Credentials In Files (T1552.001) with moderate to high confidence (80%), supported by evidence indicating files containing protected health information (PHI) were accessed and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating social Security numbers, names, medical records compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating files containing PHI...exposed data tied to Atlantic Health System and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating medical records, health insurance details compromised (healthcare data repositories). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 12,800 patients’ sensitive data compromised (implies exfiltration) and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no public evidence yet of misuse (may imply staging for exfiltration). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on extent of breach (potential data tampering) and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high value of patient data (motivation for manipulation). Under the Defense Evasion tactic, the analysis identified Indicator Removal: Clear Windows Event Logs (T1070.001) with moderate confidence (60%), supported by evidence indicating suspicious activity detected (implies delayed detection) and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating ongoing investigation (may involve hidden artifacts). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References