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Analyze » Applebee's - Apple-Metro, Inc. » APP1787716539

Incident Score: Analysis & Impact (APP1787716539)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-86
Company Score Before Incident764 / 1000
Company Score After Incident678 / 1000
INCIDENT NUMBERAPP1787716539
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal and health information,...
INCIDENT DATE31/03/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Applebee's - Apple-Metro, Inc.'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 Applebee's - Apple-Metro, Inc. 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 Applebee's - Apple-Metro, Inc. breach identified under incident ID APP1787716539.

The analysis begins with a detailed overview of Applebee's - Apple-Metro, Inc.'s information like the linkedin page: https://www.linkedin.com/company/apple-metro, the number of followers: 2054, the industry type: Restaurants and the number of employees: 260 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 764 and after the incident was 678 with a difference of -86 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 Applebee's - Apple-Metro, Inc. and their customers.

Apple American Group LLC recently reported "Applebee’s Franchisee Hit with Multiple Class-Action Lawsuits Over April Data Breach", a noteworthy cybersecurity incident.

Apple American Group, the largest franchisee of Applebee’s restaurants, is facing at least eight proposed class-action lawsuits following an April data breach that exposed sensitive personal and health information of tens of thousands of individuals.

The disruption is felt across the environment, and exposing Sensitive personal and health information, names, financial details, protected health information, with nearly Tens of thousands records at risk.

Formal response steps have not been shared publicly yet.

The case underscores how Ongoing.

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 compromised data via unspecified vulnerabilities and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating sensitive data exposed suggests possible account misuse. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating financial details and protected health information compromised and Brute Force (T1110) with lower confidence (40%), supported by evidence indicating no specific attack vector disclosed, but sensitive data accessed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, financial details, and protected health information compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating sensitive personal and health information exposed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach exposed tens of thousands of individuals data and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on exfiltration method, but data was exposed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but breach occurred and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating identity theft and fraud risks highlighted post-breach. 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%)
Valid Accounts (50%)
Credential Access
Credentials from Password Stores (60%)
Brute Force (40%)
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: Transmitted Data Manipulation (40%)

Sources & References