Incident Score: Analysis & Impact (FOHKFCNORHYAOMN1769001235)
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 foh&boh'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 foh&boh 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 foh&boh breach identified under incident ID FOHKFCNORHYAOMN1769001235.
The analysis begins with a detailed overview of foh&boh's information like the linkedin page: https://www.linkedin.com/company/foh-boh, the number of followers: 641, the industry type: Human Resources Services and the number of employees: 8 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 749 and after the incident was 386 with a difference of -363 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 foh&boh 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 Accounts (T1586) with lower confidence (40%), supported by evidence indicating unsecured AWS bucket could have enabled unauthorized access and Exploit Public-Facing Application (T1190) with lower confidence (30%), supported by evidence indicating misconfigured cloud storage (AWS bucket) exposed data. Under the Credential Access tactic, the analysis identified Gather Victim Identity Information: Email Addresses (T1589.002) with high confidence (90%), supported by evidence indicating 5.4 million CVs/resumes exposed with contact information and Gather Victim Identity Information: Credentials (T1589.001) with moderate to high confidence (70%), supported by evidence indicating work history and professional references exposed. Under the Collection tactic, the analysis identified Data from Cloud Storage (T1213.003) with high confidence (90%), supported by evidence indicating 5.4 million files (CVs/resumes) exposed via AWS bucket and Data from Local System (T1005) with moderate confidence (60%), supported by evidence indicating sensitive personal details collected from job applicants. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating unsecured AWS bucket could have enabled data exfiltration and Exfiltration Over C2 Channel (T1041) with lower confidence (30%), supported by evidence indicating potential misuse of exposed data for phishing/fraud. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (20%), supported by evidence indicating no evidence of data destruction, but exposure risks misuse and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating exposed data could be weaponized for synthetic identity fraud. Under the Defense Evasion tactic, the analysis identified Impair Defenses: Disable or Modify Tools (T1562.001) with moderate confidence (50%), supported by evidence indicating misconfigured AWS bucket lacked proper access controls. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- foh&boh Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/foh-boh/incident/FOHKFCNORHYAOMN1769001235
- foh&boh CyberSecurity Rating page: https://www.rankiteo.com/company/foh-boh
- foh&boh Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/fohkfcnorhyaomn1769001235-fohboh-kfc-nordstrom-hyatt-grand-omni-hotels-resorts-breach-february-2025/
- foh&boh CyberSecurity Score History: https://www.rankiteo.com/company/foh-boh/history
- foh&boh CyberSecurity Incident Source: https://cybernews.com/security/foh-boh-hiring-platform-exposed-millions-resumes/
- 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