Incident Score: Analysis & Impact (FLE1783011008)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of flexPATH Strategies's Cyber Attack 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 flexPATH Strategies 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 flexPATH Strategies breach identified under incident ID FLE1783011008.
The analysis begins with a detailed overview of flexPATH Strategies's information like the linkedin page: https://www.linkedin.com/company/flexpath, the number of followers: 406, the industry type: Financial Services and the number of employees: 11 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 735 and after the incident was 713 with a difference of -22 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 flexPATH Strategies and their customers.
RV dealerships recently reported "RV Dealerships Face Growing Threat from Automated Identity Fraud in Online Credit Workflows", a noteworthy cybersecurity incident.
A rising cybersecurity risk targeting RV dealerships through vulnerable online credit prequalification systems.
The disruption is felt across the environment, affecting Online credit prequalification systems, third-party integrated credit widgets, and exposing Credit file existence and score profiles, identity data (name, address, DOB).
In response, moved swiftly to contain the threat with measures like Identity-first prequalification model, mobile validation (one-time passcodes), device/behavioral analysis, real-time identity checks, monitoring for automated submission patterns, and began remediation that includes Audit technology partners for pre-bureau identity verification controls, monitor soft inquiry volume for anomalies, coordinate between F&I, IT, and compliance teams.
The case underscores how teams are taking away lessons such as Legacy credit workflows are vulnerable to automated identity fraud. Modernizing systems to prioritize identity verification at the front end can reduce fraud risk without sacrificing lead quality, and recommending next steps like Implement identity-first prequalification models with mobile validation, device/behavioral analysis, and real-time identity checks, Audit technology partners for pre-bureau identity verification controls and Monitor soft inquiry volume for anomalies, with advisories going out to stakeholders covering Dealers are advised to audit technology partners, monitor soft inquiry volume, and coordinate between teams to address fraud risks.
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 high confidence (90%), with evidence including exploit weak identity verification in legacy workflows, and vulnerable online credit prequalification systems and Trusted Relationship (T1199) with moderate to high confidence (70%), supported by evidence indicating third-party integrations (e.g., embedded credit widgets) may lack transparency. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information: Credentials (T1589.001) with high confidence (90%), supported by evidence indicating automated soft credit inquiries using stolen or synthetic identities and Gather Victim Identity Information: Email Addresses (T1589.002) with moderate to high confidence (70%), supported by evidence indicating identity data (name, address, DOB) compromised. Under the Discovery tactic, the analysis identified Account Discovery: Local Account (T1087.001) with moderate to high confidence (80%), supported by evidence indicating bots submit thousands of identity combinations to test credit file existence and System Information Discovery (T1082) with moderate to high confidence (70%), supported by evidence indicating testing credit file existence and score profiles. Under the Collection tactic, the analysis identified Data from Information Repositories: Sharepoint (T1213.002) with moderate confidence (60%), supported by evidence indicating credit file data, identity data (name, address, DOB) compromised and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating exploit weak identity verification to access credit profiles. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating automated bot attacks against prequalification tools and Data from Cloud Storage (T1530) with moderate confidence (60%), supported by evidence indicating credit file data and score profiles accessed. Under the Impact tactic, the analysis identified Endpoint Denial of Service: Application or System Exploitation (T1499.004) with moderate confidence (50%), supported by evidence indicating high volumes of identity data submissions before credit bureau activity and Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating erosion of consumer trust, operational impact. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Email Hiding Rules (T1564.008) with moderate confidence (60%), supported by evidence indicating out-of-state purchases and seasonal traffic surges obscure suspicious activity and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating synthetic fraud blends real and fabricated data to create legitimate profiles. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- flexPATH Strategies Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/flexpath/incident/FLE1783011008
- flexPATH Strategies CyberSecurity Rating page: https://www.rankiteo.com/company/flexpath
- flexPATH Strategies Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/fle1783011008-flexpath-dxp-cyber-attack-january-2025/
- flexPATH Strategies CyberSecurity Score History: https://www.rankiteo.com/company/flexpath/history
- flexPATH Strategies CyberSecurity Incident Source: https://rv-pro.com/features/the-new-front-door-of-risk/
- 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