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Analyze » Paylogix » PAYMUN1787585694

Incident Score: Analysis & Impact (PAYMUN1787585694)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-66
Company Score Before Incident751 / 1000
Company Score After Incident685 / 1000
INCIDENT NUMBERPAYMUN1787585694
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDFinancial, medical, and personal identification...
INCIDENT DATE31/07/2025
STATUSOngoing

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 PAYMUN1787585694.

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 751 and after the incident was 685 with a difference of -66 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 24 August 2026, Paylogix disclosed Data Breach issues under the banner "Data Breaches at Paylogix, Mungo Homes, and Advanced Power Services".

Ademi LLP announced investigations into data breaches affecting Paylogix, Mungo Homes (operating as Clayton Properties Group), and Advanced Power Services.

The disruption is felt across the environment, and exposing Financial, medical, and personal identification details.

In response, and stakeholders are being briefed through Notifications to affected parties.

The case underscores how Ongoing, with advisories going out to stakeholders covering Notifications to affected parties warning of potential risks including identity theft and financial fraud.

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 unauthorized access to systems and files may have exposed individuals’ personal data and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating failed to implement adequate safeguards to protect sensitive personal information. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating failed to implement adequate safeguards to protect sensitive personal information and OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating potential exposure of financial, medical, and personal identification details. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating compromised information may include financial, medical, and personal identification details and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to systems and files may have exposed individuals’ personal data. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating potential exposure of financial, medical, and personal identification details and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating data breach investigations remain ongoing with no further details released. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating potential risks including identity theft, financial fraud, and other misuse and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized access to systems and files may have exposed individuals’ personal data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (50%)
Valid Accounts (60%)
Credential Access
Unsecured Credentials (70%)
OS Credential Dumping (40%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (30%)
Stored Data Manipulation (40%)