Incident Score: Analysis & Impact (GRE1783592993)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
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 GRE1783592993.
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 639 and after the incident was 554 with a difference of -85 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 "Cybersecurity Breach Exposes Sensitive Data of Nearly 13,000 New Jersey Patients", a noteworthy cybersecurity incident.
A cybersecurity breach at Greenbaum Rowe Smith & Davis LLP, a New Jersey-based law firm serving healthcare providers, has compromised the personal and medical information of approximately 12,800 patients.
The disruption is felt across the environment, and exposing Personal and medical information, including names, Social Security numbers, medical details, and health insurance information, with nearly 12,800 records at risk.
In response, and stakeholders are being briefed through Notifications and free identity protection services for affected individuals.
The case underscores how Ongoing, with advisories going out to stakeholders covering Notifications and free identity protection services for affected individuals.
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 to high confidence (70%), supported by evidence indicating unauthorized access to files containing protected health data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating suspicious activity was detected within the firm’s network. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating unauthorized access to files containing protected health data and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating high-value medical and personal data targeted. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating files containing protected health data were accessed and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating names, Social Security numbers, medical details compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating personal and medical information of 12,800 patients compromised and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no public indication of how the breach occurred. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating forensic investigation is ongoing and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating high identity theft risk for affected individuals. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Greenbaum, Rowe, Smith & Davis LLP Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/greenbaum-rowe-smith-&-davis-llp/incident/GRE1783592993
- Greenbaum, Rowe, Smith & Davis LLP CyberSecurity Rating page: https://www.rankiteo.com/company/greenbaum-rowe-smith-&-davis-llp
- Greenbaum, Rowe, Smith & Davis LLP Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/gre1783592993-greenbaum-rowe-smith-davis-llp-breach-july-2026/
- Greenbaum, Rowe, Smith & Davis LLP CyberSecurity Score History: https://www.rankiteo.com/company/greenbaum-rowe-smith-&-davis-llp/history
- Greenbaum, Rowe, Smith & Davis LLP CyberSecurity Incident Source: https://nj1015.com/nj-health-care-data-breach/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf