Incident Score: Analysis & Impact (ROY1770415592)
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 Royal Machine Solutions'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 Royal Machine Solutions 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 Royal Machine Solutions breach identified under incident ID ROY1770415592.
The analysis begins with a detailed overview of Royal Machine Solutions's information like the linkedin page: https://www.linkedin.com/company/royal-machine-solutions, the number of followers: 461, the industry type: Machinery Manufacturing and the number of employees: 13 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 743 and after the incident was 687 with a difference of -56 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 Royal Machine Solutions and their customers.
Royal Machine and Tool Corporation recently reported "Royal Machine and Tool Corporation Potential Data Breach", a noteworthy cybersecurity incident.
Royal Machine and Tool Corporation, a Connecticut-based manufacturer specializing in custom workholding devices and machining services, has notified the Massachusetts Attorney General’s office of a potential data breach compromising sensitive personal identifiable information...
The disruption is felt across the environment, and exposing Sensitive personal identifiable information (PII).
In response, and stakeholders are being briefed through Notification to Massachusetts Attorney General’s office, advisories to affected parties.
The case underscores how Ongoing, and recommending next steps like Affected parties advised to monitor financial accounts, credit reports, and enroll in credit monitoring services, with advisories going out to stakeholders covering Monitor financial accounts, credit reports, and enroll in credit monitoring services.
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 Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating details about the cause, timing, or scope remain undisclosed and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating sensitive personal identifiable information (PII) compromised. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating pII exposed may include varying types of personal information and OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating sensitive personal identifiable information (PII) compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating sensitive personal identifiable information (PII) compromised and Data from Information Repositories (T1213) with moderate confidence (60%), supported by evidence indicating custom workholding devices and machining services manufacturer. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating potential data breach compromising sensitive PII and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating details about the incident remain undisclosed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating details about the cause, timing, or scope remain undisclosed and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating affected parties advised to monitor financial accounts. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Royal Machine Solutions Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/royal-machine-solutions/incident/ROY1770415592
- Royal Machine Solutions CyberSecurity Rating page: https://www.rankiteo.com/company/royal-machine-solutions
- Royal Machine Solutions Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/roy1770415592-royal-machine-and-tool-corporation-breach-january-2026/
- Royal Machine Solutions CyberSecurity Score History: https://www.rankiteo.com/company/royal-machine-solutions/history
- Royal Machine Solutions CyberSecurity Incident Source: https://straussborrelli.com/2026/02/04/royal-machine-and-tool-corporation-data-breach-investigation/
- 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