Microf Breach Incident Score: Analysis & Impact (MIC1766850884)

In this Rankiteo incident briefing, we review the Microf breach identified under incident ID MIC1766850884.

The analysis begins with a detailed overview of Microf's information like the linkedin page: https://www.linkedin.com/company/microf, the number of followers: 5647, the industry type: Financial Services and the number of employees: 96 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 754 and after the incident was 628 with a difference of -126 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 Microf and their customers.

On 23 December 2025, Microf, LLC disclosed Ransomware Attack, Data Breach issues under the banner "Microf, LLC Data Breach and Ransomware Attack".

Microf, LLC, a financial services firm specializing in lease-to-own solutions for HVAC and water heater systems, experienced a significant data breach due to a ransomware attack by the Qilin group.

The disruption is felt across the environment, and exposing Names, Social Security numbers.

In response, and stakeholders are being briefed through Notification letters to affected individuals, dedicated call center.

The case underscores how and recommending next steps like Affected individuals should enroll in complimentary credit monitoring and identity theft protection services, place fraud alerts or credit freezes, and request free annual credit reports, with advisories going out to stakeholders covering Notification letters with steps to enroll in credit monitoring and identity theft protection services, instructions for fraud alerts/credit freezes, and access to free annual credit reports.

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 Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating financial services firm specializing in lease-to-own solutions and Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating supply chain such as false (implies no third-party breach). Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating ransomware attack by Qilin group (commonly uses stolen creds). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating type such as Ransomware,ransomware strain such as Qilin. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration such as Yes, Qilin posted screenshots on dark web and Automated Exfiltration (T1020) with moderate to high confidence (70%), supported by evidence indicating social Security numbers exposed (likely automated theft). Under the Defense Evasion tactic, the analysis identified Indicator Removal: File Deletion (T1070.004) with moderate confidence (60%), supported by evidence indicating ransomware attack (common tactic to evade detection). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.