Incident Score: Analysis & Impact (AFF1767980672)
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 Affiliated 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 Affiliated 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 Affiliated Dermatology breach identified under incident ID AFF1767980672.
The analysis begins with a detailed overview of Affiliated Dermatology's information like the linkedin page: https://www.linkedin.com/company/affiliated-dermatology, the number of followers: 1066, the industry type: Medical Practices and the number of employees: 156 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 756 and after the incident was 649 with a difference of -107 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 Affiliated Dermatology and their customers.
On 05 March 2024, Affiliated Dermatologists & Dermatologic Surgeons PA disclosed Data Breach issues under the banner "Affiliated Dermatologists $1M Data Breach Settlement".
Affiliated Dermatologists & Dermatologic Surgeons PA agreed to pay $1,000,000 to resolve a class action lawsuit alleging it failed to adequately protect sensitive personal information, including Social Security numbers, dates of birth, medical treatment details, health insuran...
The disruption is felt across the environment, and exposing Social Security numbers, dates of birth, medical treatment details, health insurance claims, driver’s license numbers, passport numbers, other nonpublic personally identifiable or protected health information, plus an estimated financial loss of $1,000,000 (settlement fund).
In response, and stakeholders are being briefed through Settlement notices mailed to affected individuals.
The case underscores how Settled, with advisories going out to stakeholders covering Settlement notices mailed to affected individuals with instructions for claiming benefits.
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%), with evidence including failed to adequately protect sensitive data, and potentially compromised via internal systems and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating data breach impacting sensitive personal and medical information. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating social Security numbers, dates of birth, medical treatment details exposed and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating driver’s license numbers, passport numbers compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive personal and medical information was compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating health insurance claims, medical treatment details exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach potentially exposed sensitive information and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on data exfiltration method provided. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating failed to adequately protect sensitive data and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (30%), 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
- Affiliated Dermatology Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/affiliated-dermatology/incident/AFF1767980672
- Affiliated Dermatology CyberSecurity Rating page: https://www.rankiteo.com/company/affiliated-dermatology
- Affiliated Dermatology Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/aff1767980672-affiliated-dermatologists-dermatologic-surgeons-pa-breach-march-2024/
- Affiliated Dermatology CyberSecurity Score History: https://www.rankiteo.com/company/affiliated-dermatology/history
- Affiliated Dermatology CyberSecurity Incident Source: https://www.claimdepot.com/settlements/affiliated-ddsdb-settlement
- 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