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Analyze » Basic-Fit » BAS1776083386

Incident Score: Analysis & Impact (BAS1776083386)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-197
Company Score Before Incident684 / 1000
Company Score After Incident487 / 1000
INCIDENT NUMBERBAS1776083386
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDNames, home and email addresses,...
INCIDENT DATE12/04/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Basic-Fit'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 Basic-Fit 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 Basic-Fit breach identified under incident ID BAS1776083386.

The analysis begins with a detailed overview of Basic-Fit's information like the linkedin page: https://www.linkedin.com/company/basic-fit, the number of followers: 41343, the industry type: Wellness and Fitness Services and the number of employees: 4031 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 684 and after the incident was 487 with a difference of -197 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 Basic-Fit and their customers.

Basic-Fit recently reported "Basic-Fit Cyberattack Exposing Data of 1 Million Customers", a noteworthy cybersecurity incident.

Europe’s largest gym chain, Basic-Fit, has disclosed a cyberattack resulting in the theft of sensitive customer data, including bank details, for approximately one million members.

The disruption is felt across the environment, affecting Centralized system tracking gym visits, and exposing Names, home and email addresses, phone numbers, dates of birth, and bank details, with nearly 1,000,000 records at risk.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Contained within minutes, and stakeholders are being briefed through Notified relevant data protection authorities and directly informed affected members.

The case underscores how Ongoing, with advisories going out to stakeholders covering Warned customers to remain vigilant against potential phishing attempts.

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 (60%), supported by evidence indicating breach targeted a centralized system tracking gym visits and External Remote Services (T1133) with moderate confidence (50%), supported by evidence indicating centralized system tracking gym visits across six countries. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating bank details...were compromised via centralized system and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating system monitoring detected breach; likely abused existing access. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, home/email addresses, phone numbers, dates of birth, bank details and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating centralized system tracking gym visits across six countries. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating theft of sensitive customer data for approximately one million members and Transfer Data to Cloud Account (T1537) with lower confidence (40%), supported by evidence indicating no evidence of data being leaked or sold online (implies exfiltration). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating breach contained within minutes; no evidence of destruction and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating warned customers to remain vigilant against potential phishing attempts. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating breach detected through system monitoring; implies evasion of initial detection and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating no evidence of data being leaked or sold online (implies evasion). 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 (60%)
External Remote Services (50%)
Credential Access
Unsecured Credentials (50%)
Valid Accounts (70%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (40%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)
Defense Evasion
Valid Accounts (60%)
Hide Artifacts: Hidden Files and Directories (50%)

Sources & References