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Analyze » Fleet Mortgages » FLE1766548241

Incident Score: Analysis & Impact (FLE1766548241)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-22
Company Score Before Incident755 / 1000
Company Score After Incident733 / 1000
INCIDENT NUMBERFLE1766548241
Type of Cyber IncidentCyber Attack
ATTACK VECTORPhone Calls, Email Phishing, Deepfake Impersonation
DATA EXPOSEDNA
INCIDENT DATE05/06/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Fleet Mortgages'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 Fleet Mortgages 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 Fleet Mortgages breach identified under incident ID FLE1766548241.

The analysis begins with a detailed overview of Fleet Mortgages's information like the linkedin page: https://www.linkedin.com/company/fleet-mortgages, the number of followers: 9604, the industry type: Financial Services and the number of employees: 173 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 755 and after the incident was 733 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 Fleet Mortgages and their customers.

A newly reported cybersecurity incident, "an incident", has drawn attention.

Threat actors are evolving social engineering tactics by using phone calls (alone or combined with emails) to trick employees into revealing credentials, often impersonating IT departments.

The disruption is felt across the environment, affecting SaaS Accounts and Internal Networks.

In response, moved swiftly to contain the threat with measures like Implementation of MFA and Pre-agreed passcodes/phrases, and began remediation that includes Adoption of phishing-resistant MFA (FIDO standards) and Passwordless authentication (biometrics, SSO).

The case underscores how teams are taking away lessons such as 1. Social engineering tactics are evolving beyond email phishing to include phone calls and deepfake impersonation. 2. Credential compromise remains a dominant attack vector, emphasizing the need for MFA. 3. SMS-based 2FA is vulnerable to SIM-swapping attacks, necessitating phishing-resistant MFA. 4. Cybersecurity measures must prioritize usability to ensure employee adherence, and recommending next steps like Implement phishing-resistant MFA (e.g., FIDO standards, biometrics, or physical security keys), Replace SMS-based 2FA with more secure alternatives and Adopt passwordless authentication methods (e.g., biometrics, SSO).

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 Phishing (T1566) with high confidence (90%), with evidence including threat actors using phone calls and emails to trick employees into revealing credentials, and deepfake impersonation of IT departments, Valid Accounts (T1078) with moderate to high confidence (80%), with evidence including 56% of Q1 2025 compromises stemmed from stolen credentials, and saaS account takeovers as common entry point, and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (85%), supported by evidence indicating saaS account takeovers serving as entry point for privilege escalation. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate to high confidence (70%), with evidence including credential compromise due to absence of MFA, and attackers exploit basic weaknesses like tricking users into surrendering login details and Modify Authentication Process (T1556) with moderate to high confidence (75%), with evidence including sIM-swapping attacks undermine SMS-based 2FA, and recommendation to adopt phishing-resistant MFA. Under the Defense Evasion tactic, the analysis identified Use Alternate Authentication Material (T1550) with moderate to high confidence (80%), with evidence including stolen credentials used for SaaS account takeovers, and deepfake impersonation to bypass authentication and Weaken Encryption (T1600) with moderate confidence (60%), supported by evidence indicating sMS-based 2FA vulnerabilities due to SIM-swapping. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (85%), with evidence including saaS account takeovers used for privilege escalation, and high-value targets include admin roles. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), with evidence including potential unauthorized access to sensitive data and systems, and high risk of identity theft due to credential compromise. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (90%)
Valid Accounts (80%)
Valid Accounts: Cloud Accounts (85%)
Credential Access
Brute Force (70%)
Modify Authentication Process (75%)
Defense Evasion
Use Alternate Authentication Material (80%)
Weaken Encryption (60%)
Privilege Escalation
Valid Accounts (85%)
Exfiltration
Exfiltration Over C2 Channel (70%)

Sources & References