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Analyze » KFC » FOHKFCNORHYAOMN1769001235

Incident Score: Analysis & Impact (FOHKFCNORHYAOMN1769001235)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-138
Company Score Before Incident807 / 1000
Company Score After Incident669 / 1000
Company LinkView KFC Profile
INCIDENT NUMBERFOHKFCNORHYAOMN1769001235
Type of Cyber IncidentBreach
ATTACK VECTORMisconfigured Cloud Storage
DATA EXPOSED5.4 million files (CVs and...
INCIDENT DATE05/02/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of KFC'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 KFC 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 KFC breach identified under incident ID FOHKFCNORHYAOMN1769001235.

The analysis begins with a detailed overview of KFC's information like the linkedin page: https://www.linkedin.com/company/kfc, the number of followers: 302909, the industry type: Restaurants and the number of employees: 90869 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 807 and after the incident was 669 with a difference of -138 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 KFC and their customers.

Foh&Boh recently reported "Millions of Job Seekers’ Resumes Exposed in Foh&Boh Data Breach", a noteworthy cybersecurity incident.

A major data exposure incident involving Foh&Boh, a U.S.-based hiring and onboarding platform for restaurants, hotels, and retailers, has left 5.4 million files (primarily CVs and resumes) publicly accessible via an unsecured AWS bucket.

The disruption is felt across the environment, affecting AWS bucket, and exposing 5.4 million files (CVs and resumes), with nearly 5.4 million files records at risk.

In response, moved swiftly to contain the threat with measures like AWS bucket secured after multiple contact attempts.

The case underscores how teams are taking away lessons such as Risks of misconfigured cloud storage; need for stricter access controls, encryption, and retrospective log reviews, and recommending next steps like Stricter access controls, Encryption and Retrospective log reviews.

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 Compromise Infrastructure: Cloud Storage (T1584.005) with high confidence (90%), with evidence including unsecured AWS bucket, and misconfigured cloud storage. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information: Email Addresses (T1589.002) with high confidence (90%), supported by evidence indicating contact information exposed in 5.4M CVs/resumes and Gather Victim Identity Information: Credentials (T1589.001) with moderate to high confidence (70%), supported by evidence indicating work history, professional references in resumes. Under the Collection tactic, the analysis identified Data from Information Repositories: Code Repositories (T1213.003) with moderate to high confidence (80%), supported by evidence indicating 5.4M CVs/resumes collected in AWS bucket and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating sensitive personal details exposed via unsecured bucket. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating aWS bucket publicly accessible (potential exfil path). Under the Impact tactic, the analysis identified Compromise Accounts: Email Accounts (T1586.002) with moderate to high confidence (80%), supported by evidence indicating targeted phishing attacks enabled by exposed data and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating potential misuse of data for identity theft/fraud. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate to high confidence (70%), supported by evidence indicating unsecured AWS bucket (lack of access controls). These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Compromise Infrastructure: Cloud Storage (90%)
Credential Access
Gather Victim Identity Information: Email Addresses (90%)
Gather Victim Identity Information: Credentials (70%)
Collection
Data from Information Repositories: Code Repositories (80%)
Data from Local System (70%)
Exfiltration
Transfer Data to Cloud Account (60%)
Impact
Compromise Accounts: Email Accounts (80%)
Data Destruction (30%)
Defense Evasion
Impair Defenses: Disable or Modify Tools (70%)