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Analyze » FULLBEAUTY Brands » FULCUUELOFUL1769214430

Incident Score: Analysis & Impact (FULCUUELOFUL1769214430)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-59
Company Score Before Incident732 / 1000
Company Score After Incident673 / 1000
INCIDENT NUMBERFULCUUELOFUL1769214430
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal identifiable information (PII)...
INCIDENT DATE22/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of FULLBEAUTY Brands'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 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 FULCUUELOFUL1769214430.

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 732 and after the incident was 673 with a difference of -59 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 23 January 2026, FullBeauty Brands, Inc. disclosed Data Breach issues under the banner "FullBeauty Brands Data Breach Exposing Sensitive Customer Information".

FullBeauty Brands, Inc.

The disruption is felt across the environment, and exposing Sensitive personal identifiable information (PII) and protected health information (PHI).

In response, and stakeholders are being briefed through Notifying affected individuals.

The case underscores how Ongoing, with advisories going out to stakeholders covering Notifying affected individuals.

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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to systems containing sensitive PII and PHI and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating no details on attack vector; retail sector often targeted via public apps. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (60%), supported by evidence indicating unauthorized access implies possible credential compromise and Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating no specific details, but brute force common in retail breaches. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating sensitive PII and PHI exposed, including names, contact info, financial details and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating health-related records compromised, likely stored in databases. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach disclosed; exfiltration likely occurred and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details, but cloud exfiltration possible in retail breaches. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of destruction, but possible in unauthorized access and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating pHI and financial details exposed; manipulation risk implied. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (70%)
Exploit Public-Facing Application (50%)
Credential Access
Modify Authentication Process (60%)
Brute Force (50%)
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%)
Data Manipulation: Stored Data Manipulation (40%)

Sources & References