Dhanani Group Inc Breach Incident Score: Analysis & Impact (DHA1767719756)

In this Rankiteo incident briefing, we review the Dhanani Group Inc breach identified under incident ID DHA1767719756.

The analysis begins with a detailed overview of Dhanani Group Inc's information like the linkedin page: https://www.linkedin.com/company/dhanani-group-inc, the number of followers: 1232, the industry type: Food and Beverage Services and the number of employees: 43 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 761 and after the incident was 692 with a difference of -69 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 Dhanani Group Inc and their customers.

On 06 January 2025, Gulshan Management Services, Inc. disclosed Data Breach issues under the banner "Gulshan Management Services, Inc. Data Breach".

Gulshan Management Services, Inc.

The disruption is felt across the environment, and exposing Sensitive personal identifiable information.

In response, and stakeholders are being briefed through Notice to be provided to impacted individuals (not yet begun as of January 6, 2025).

The case underscores how Ongoing, and recommending next steps like Regularly review account statements for signs of fraud or unauthorized activity, Enroll in any free credit monitoring services provided by the company and Contact a credit bureau(s) to request a temporary fraud alert, with advisories going out to stakeholders covering Impacted individuals advised to take protective measures (e.g., credit monitoring, fraud alerts).

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 confidence (60%), supported by evidence indicating unauthorized access to sensitive personal identifiable information and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating sensitive PII stored in the company’s systems may have been accessed. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (50%), supported by evidence indicating unauthorized access to systems storing financial and government-issued IDs and Brute Force (T1110) with lower confidence (40%), supported by evidence indicating no details on attack vector or timeline released. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating financial information, government-issued IDs, and PII compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating sensitive PII may have been accessed by an unauthorized third party 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 (30%), supported by evidence indicating no details on extent of breach or data integrity and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating high risk of identity theft and payment information misuse. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.