Incident Score: Analysis & Impact (ANN1772217469)
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 Anne Arundel Dermatology'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 Anne Arundel Dermatology 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 Anne Arundel Dermatology breach identified under incident ID ANN1772217469.
The analysis begins with a detailed overview of Anne Arundel Dermatology's information like the linkedin page: https://www.linkedin.com/company/annearundeldermatology, the number of followers: 5469, the industry type: Hospitals and Health Care and the number of employees: 576 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 764 and after the incident was 617 with a difference of -147 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 Anne Arundel Dermatology and their customers.
Anne Arundel Dermatology PA recently reported "Anne Arundel Dermatology Data Breach Class Action Settlement", a noteworthy cybersecurity incident.
Anne Arundel Dermatology PA has agreed to a $2.4 million settlement in a proposed class action lawsuit alleging negligence in protecting the personal data of over 1.9 million individuals exposed in a 2025 breach.
The disruption is felt across the environment, and exposing Sensitive personal information, with nearly 1.9 million records at risk, plus an estimated financial loss of $2.4 million settlement.
Formal response steps have not been shared publicly yet.
The case underscores how Settlement granted preliminary approval, teams are taking away lessons such as The case underscores the growing legal and financial risks organizations face following data breaches, particularly in the healthcare sector, where regulatory scrutiny and class action litigation are increasingly common, with advisories going out to stakeholders covering Affected individuals may receive up to $5,000 in compensation for documented out-of-pocket losses or opt for a $100 cash payment.
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 (60%), supported by evidence indicating failure to implement adequate security measures and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating sensitive personal information compromised (implies account misuse). Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating failure to implement adequate security measures and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating high sensitivity of compromised data (implies possible credential attacks). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive personal information of 1.9 million individuals compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 1.9 million records exposed (implies data exfiltration) and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on exfiltration method, but large-scale breach suggests possible cloud transfer. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating no evidence of destruction, but breach implies potential data integrity risks and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (30%), supported by evidence indicating no direct evidence, but healthcare data breaches often involve manipulation risks. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Anne Arundel Dermatology Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/annearundeldermatology/incident/ANN1772217469
- Anne Arundel Dermatology CyberSecurity Rating page: https://www.rankiteo.com/company/annearundeldermatology
- Anne Arundel Dermatology Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/ann1772217469-anne-arundel-dermatology-pa-breach-january-2025/
- Anne Arundel Dermatology CyberSecurity Score History: https://www.rankiteo.com/company/annearundeldermatology/history
- Anne Arundel Dermatology CyberSecurity Incident Source: https://news.bloomberglaw.com/privacy-and-data-security/dermatology-clinics-2-4-million-breach-deal-gets-initial-nod
- 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