Bell Breach Incident Score: Analysis & Impact (BEL1773239202)

In this Rankiteo incident briefing, we review the Bell breach identified under incident ID BEL1773239202.

The analysis begins with a detailed overview of Bell's information like the linkedin page: https://www.linkedin.com/company/bell, the number of followers: 363183, the industry type: Telecommunications and the number of employees: 33894 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 766 and after the incident was 643 with a difference of -123 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 Bell and their customers.

On 13 February 2025, Bell Ambulance disclosed Data Breach, Ransomware issues under the banner "Cyberattack on Bell Ambulance Exposes Data of Over 235,000 Individuals".

Bell Ambulance, Wisconsin’s largest ambulance provider, confirmed a data breach affecting 237,830 individuals after hackers infiltrated its systems in early 2025.

The disruption is felt across the environment, and exposing Sensitive personal and medical information, with nearly 237,830 records at risk.

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

The case underscores how Ongoing, with advisories going out to stakeholders covering Notifications sent to 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.

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 hackers infiltrated its systems in early 2025 and Valid Accounts (T1078) with moderate confidence (50%), supported by evidence indicating no details on initial access vector, but ransomware often uses valid accounts. Under the Execution tactic, the analysis identified User Execution: Malicious File (T1204.002) with moderate to high confidence (70%), supported by evidence indicating ransomware attack (Medusa) implies malicious execution. Under the Credential Access tactic, the analysis identified OS Credential Dumping (T1003) with moderate to high confidence (70%), supported by evidence indicating sensitive data (SSNs, medical records) accessed; likely credential dumping. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating 219 GB of stolen data including SSNs, medical records, financial accounts. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating 219 GB of data stolen; Medusa ransomware gang claimed responsibility. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate to high confidence (80%), supported by evidence indicating ransomware attack (Medusa) implies data encryption for ransom and Defacement: Internal Defacement (T1491.001) with moderate confidence (60%), supported by evidence indicating ransomware often leaves ransom notes or defaces systems. Under the Command and Control tactic, the analysis identified Application Layer Protocol: Web Protocols (T1071.001) with moderate to high confidence (70%), supported by evidence indicating ransomware (Medusa) likely uses C2 channels for data exfiltration. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.