Incident Score: Analysis & Impact (PAY1769201462)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Paylogix'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 Paylogix 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 Paylogix breach identified under incident ID PAY1769201462.
The analysis begins with a detailed overview of Paylogix's information like the linkedin page: https://www.linkedin.com/company/paylogix, the number of followers: 400, the industry type: Insurance and the number of employees: 22 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 689 and after the incident was 620 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 Paylogix and their customers.
On 13 November 2025, Paylogix disclosed Data Breach issues under the banner "Paylogix Data Breach Exposes Sensitive Personal Information".
Paylogix, a provider of personal data management services, recently disclosed a data breach that may have compromised sensitive personally identifiable information (PII).
The disruption is felt across the environment, and exposing Sensitive personally identifiable information (PII).
In response, and stakeholders are being briefed through Published breach notice on company website.
The case underscores how Completed, with advisories going out to stakeholders covering Offering complimentary credit monitoring services to impacted individuals.
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 Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized third party accessed and potentially acquired data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating network disruption affecting certain systems and services. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating accessed and potentially acquired data stored in Paylogix’s systems and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating social Security numbers, names, addresses compromised. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating exposed information includes names, SSNs, addresses, policy numbers. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data potentially acquired by unauthorized third party and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating sensitive PII compromised; exfiltration method unclear. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating network disruption affecting certain systems and services and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (30%), supported by evidence indicating unauthorized third party accessed data; manipulation possible. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Paylogix Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/paylogix/incident/PAY1769201462
- Paylogix CyberSecurity Rating page: https://www.rankiteo.com/company/paylogix
- Paylogix Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/pay1769201462-paylogix-breach-november-2025/
- Paylogix CyberSecurity Score History: https://www.rankiteo.com/company/paylogix/history
- Paylogix CyberSecurity Incident Source: https://straussborrelli.com/2026/01/22/paylogix-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