Gargle Breach Incident Score: Analysis & Impact (GAR1766053854)

In this Rankiteo incident briefing, we review the Gargle breach identified under incident ID GAR1766053854.

The analysis begins with a detailed overview of Gargle's information like the linkedin page: https://www.linkedin.com/company/gargle, the number of followers: 584, the industry type: Advertising Services and the number of employees: 60 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 751 and after the incident was 629 with a difference of -122 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 Gargle and their customers.

Gargle recently reported "Gargle Dental Marketing Firm Exposes 2.7M Patient Profiles and 8.8M Appointment Records", a noteworthy cybersecurity incident.

An unsecured MongoDB database owned by U.S.

The disruption is felt across the environment, affecting MongoDB database, and exposing 2.7 million patient profiles and 8.8 million appointment records, with nearly 11.5 million (2.7M profiles + 8.8M appointment records) records at risk.

In response, moved swiftly to contain the threat with measures like Database secured, and stakeholders are being briefed through Urged affected individuals to be vigilant of suspicious emails and unauthorized activity.

The case underscores how and recommending next steps like Affected individuals should seek identity theft monitoring services and be vigilant of suspicious emails and unauthorized medical or insurance record activity, with advisories going out to stakeholders covering Individuals urged to monitor for suspicious emails and unauthorized medical or insurance activity.

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 Exploitation of Remote Services (T1210) with moderate to high confidence (70%), with evidence including misconfigured MongoDB database, and unsecured MongoDB Instance and Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), supported by evidence indicating unsecured MongoDB database linked to third-party service infrastructure. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Cloud Instance Metadata API (T1552.006) with moderate confidence (50%), supported by evidence indicating misconfigured MongoDB database (implied lack of access controls). Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating 2.7M patient profiles and 8.8M appointment records exposed and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (50%), supported by evidence indicating unsecured MongoDB instance (potential for unauthorized data access). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of malicious access, but data exposure risks misuse, Data Encrypted for Impact (T1486) with lower confidence (10%), supported by evidence indicating no evidence of ransomware or encryption in this incident, and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating potential for identity theft, insurance fraud, and social engineering. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.