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Analyze » Founders Group International » FULFOU1769468199

Incident Score: Analysis & Impact (FULFOU1769468199)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-145
Company Score Before Incident774 / 1000
Company Score After Incident629 / 1000
INCIDENT NUMBERFULFOU1769468199
Type of Cyber IncidentRansomware
ATTACK VECTORUnauthorized network access
DATA EXPOSEDNames, Social Security numbers
INCIDENT DATE15/06/2020
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Founders Group International's Ransomware 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 Founders Group International 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 Founders Group International breach identified under incident ID FULFOU1769468199.

The analysis begins with a detailed overview of Founders Group International's information like the linkedin page: https://www.linkedin.com/company/founders-group-international, the number of followers: 974, the industry type: Hospitality and the number of employees: 125 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 774 and after the incident was 629 with a difference of -145 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 Founders Group International and their customers.

On 19 November 2025, FullBeauty Brands disclosed Data Breach, Ransomware issues under the banner "FullBeauty Brands Data Breach Affecting Over 1,100 Individuals".

FullBeauty Brands disclosed a data breach affecting at least 1,191 individuals after unauthorized access to its network between October 18 and November 19, 2025.

The disruption is felt across the environment, and exposing Names, Social Security numbers, with nearly 1191 records at risk.

In response, and stakeholders are being briefed through Notifications sent to impacted individuals.

The case underscores how with advisories going out to stakeholders covering One year of free credit monitoring and identity theft protection via Experian.

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 its network between October 18 and November 19, 2025 and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized access to its network (implies compromised credentials). Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating unauthorized network access (suggests credential compromise) and Brute Force (T1110) with lower confidence (40%), supported by evidence indicating ransomware group Everest active since 2020 (common brute force use). Under the Discovery tactic, the analysis identified Account Discovery (T1087) with moderate confidence (60%), supported by evidence indicating exposed names and Social Security numbers (implies account enumeration) and File and Directory Discovery (T1083) with moderate confidence (50%), supported by evidence indicating data exfiltration of PII (suggests file system exploration). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating breach exposed names and Social Security numbers and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating pII compromised via internal network access. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating everest leaked stolen data on November 24, 2025 and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating ransomware group leaked data (common web-based exfiltration). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (70%), supported by evidence indicating type such as Ransomware (implies encryption for ransom) and Defacement (T1491) with lower confidence (30%), supported by evidence indicating ransomware groups often deface systems (no direct evidence). Under the Command and Control tactic, the analysis identified Application Layer Protocol (T1071) with moderate to high confidence (70%), supported by evidence indicating ransomware group Everest leaked data (implies C2 communication). 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 (50%)
Brute Force (40%)
Discovery
Account Discovery (60%)
File and Directory Discovery (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (90%)
Exfiltration Over Web Service (60%)
Impact
Data Encrypted for Impact (70%)
Defacement (30%)
Command and Control
Application Layer Protocol (70%)

Sources & References