Incident Score: Analysis & Impact (FULFOU1769468199)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of FULLBEAUTY Brands'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 FULLBEAUTY Brands 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 FULLBEAUTY Brands breach identified under incident ID FULFOU1769468199.
The analysis begins with a detailed overview of FULLBEAUTY Brands's information like the linkedin page: https://www.linkedin.com/company/fullbeauty-brands, the number of followers: 80950, the industry type: Retail Apparel and Fashion and the number of employees: 1859 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 772 and after the incident was 646 with a difference of -126 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 FULLBEAUTY Brands 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 External Remote Services (T1133) with moderate confidence (60%), supported by evidence indicating unauthorized network access suggests possible remote service exploitation. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating social Security numbers and names were exposed in the breach and Unsecured Credentials: Credentials In Files (T1552.001) with moderate confidence (60%), supported by evidence indicating high sensitivity of data (SSNs) implies possible credential harvesting. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names and Social Security numbers were compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating breach affected 1,191 individuals PII stored in company systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating ransomware group Everest leaked stolen data on November 24, 2025 and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating data exfiltration confirmed by ransomware groups leak. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating incident type is ransomware, implying possible encryption and Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating ransomware attack may have included destructive elements. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unauthorized access suggests possible use of compromised credentials and Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating ransomware attack implies possible defense evasion tactics. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- FULLBEAUTY Brands Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/fullbeauty-brands/incident/FULFOU1769468199
- FULLBEAUTY Brands CyberSecurity Rating page: https://www.rankiteo.com/company/fullbeauty-brands
- FULLBEAUTY Brands Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/fulfou1769468199-fullbeauty-brands-under-armour-ransomware-june-2020/
- FULLBEAUTY Brands CyberSecurity Score History: https://www.rankiteo.com/company/fullbeauty-brands/history
- FULLBEAUTY Brands CyberSecurity Incident Source: https://www.comparitech.com/news/apparel-company-fullbeauty-warns-1000-people-of-data-breach-that-leaked-ssns/
- 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