โ† Back to APDerm company page

APDerm Breach Incident Score: Analysis & Impact (APD4192841112025)

The Rankiteo video explains how the company APDerm has been impacted by a Breach on the date May 01, 2025.

newsone

Incident Summary

Rankiteo Incident Impact
-72
Company Score Before Incident
756 / 1000
Company Score After Incident
684 / 1000
Company Link
Incident ID
APD4192841112025
Type of Cyber Incident
Breach
Primary Vector
NA
Data Exposed
Name, Address, Phone number, Date of birth, Social Security number, Medical information, Health insurance information
First Detected by Rankiteo
May 01, 2025
Last Updated Score
November 20, 2025

If the player does not load, you can open the video directly.

newsone

Key Highlights From This Incident Analysis

  • Timeline of APDerm'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 Rankiteoโ€™s incident engine converts technical details into a normalized incident score.
  • How this cyber incident impacts APDerm Rankiteo cyber scoring and cyber rating.
  • Rankiteoโ€™s MITRE ATT&CK correlation analysis for this incident, with associated confidence level.
newsone

Full Incident Analysis Transcript

In this Rankiteo incident briefing, we review the APDerm breach identified under incident ID APD4192841112025.

The analysis begins with a detailed overview of APDerm's information like the linkedin page: https://www.linkedin.com/company/apderm, the number of followers: 1926, the industry type: Medical Practices and the number of employees: 225 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 684 with a difference of -72 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 APDerm and their customers.

On 19 September 2025, Dermatology Associates of Concord disclosed Data Breach issues under the banner "Dermatology Associates of Concord Data Breach".

Dermatology Associates of Concord, a medical practice serving the greater Boston area since 1972, discovered suspicious activity on its computer systems on September 19, 2025.

The disruption is felt across the environment, affecting Specific computer systems (details undisclosed), and exposing Name, Address and Phone number, with nearly At least 15 (investigation ongoing) records at risk.

In response, teams activated the incident response plan, while recovery efforts such as Offered free IDX identity theft protection services to affected individuals continue, and stakeholders are being briefed through Notices sent to affected individuals; public advisory via Shamis & Gentile P.A.

The case underscores how Ongoing (potential for additional victims), and recommending next steps like Sign up for free IDX identity theft protection services offered by Dermatology Associates of Concord, Monitor financial accounts for suspicious activity and Place a fraud alert with credit bureaus, with advisories going out to stakeholders covering Notices sent to affected individuals; public advisory via Shamis & Gentile P.A.

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.

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 actor accessed and copied files from the network (implies possible misuse of valid credentials) and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating suspicious activity on its computer systems (unspecified vector, but public-facing systems are common targets). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating unauthorized actor ... copied files from the network between September 18 and 19, 2025. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with high confidence (90%), supported by evidence indicating files copied from the network (implies data staged and exfiltrated via unspecified protocol) and Automated Exfiltration (T1020) with moderate confidence (60%), supported by evidence indicating files copied (suggests automated collection/exfiltration within 24-hour window). Under the Impact tactic, the analysis identified Data from Cloud Storage Object (T1598) with lower confidence (40%), supported by evidence indicating computer systems (potential cloud/on-prem hybrid; PHI/PII often stored in cloud backups) and Data Destruction (T1485) with lower confidence (10%), supported by evidence indicating no ransomware mentioned (low confidence; included due to PHI/PII exposure severity). Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating unauthorized actor accessed and copied files (possible lateral movement via dumped credentials). Under the Defense Evasion tactic, the analysis identified Indicator Removal on Host (T1070) with moderate confidence (60%), supported by evidence indicating suspicious activity detected on Sept 19 (actor may have cleared logs to delay detection). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.