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Analyze » Campbell University » CAM1782253948

Incident Score: Analysis & Impact (CAM1782253948)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-118
Company Score Before Incident778 / 1000
Company Score After Incident660 / 1000
INCIDENT NUMBERCAM1782253948
Type of Cyber IncidentRansomware
ATTACK VECTORUnauthorized access to cloud-based storage system
DATA EXPOSED500 GB of sensitive data
INCIDENT DATE30/03/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Campbell University's Ransomware 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 Campbell University 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 Campbell University breach identified under incident ID CAM1782253948.

The analysis begins with a detailed overview of Campbell University's information like the linkedin page: https://www.linkedin.com/company/campbell-university, the number of followers: 47116, the industry type: Higher Education and the number of employees: 1700 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 778 and after the incident was 660 with a difference of -118 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 Campbell University and their customers.

On 29 May 2026, Campbell University disclosed Data Breach issues under the banner "Campbell University Data Breach Exposes Sensitive Personal, Medical, and Financial Information".

On April 1, 2026, North Carolina-based Campbell University detected a data breach involving unauthorized access to one of its cloud-based storage systems.

The disruption is felt across the environment, affecting Cloud-based storage system, and exposing 500 GB of sensitive data.

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 Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating unauthorized access to one of its cloud-based storage systems and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating cloud-based storage system. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to cloud-based storage system and Cloud Instance Metadata API (T1552.005) with moderate confidence (60%), supported by evidence indicating cloud-based storage system access. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), with evidence including 500 GB of sensitive data stolen, and personal, medical, and financial records compromised and Data from Information Repositories (T1213) with high confidence (90%), with evidence including cloud-based storage system accessed, and 500 GB of sensitive data stolen. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating inc Ransom claiming responsibility for stealing 500 GB of data and Transfer Data to Cloud Account (T1537) with moderate to high confidence (70%), with evidence including cloud-based storage system accessed, and data exfiltration confirmed. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with moderate confidence (50%), supported by evidence indicating incident type such as Ransomware and Defacement (T1491) with lower confidence (30%), supported by evidence indicating threat actor Inc Ransom claiming responsibility. Under the Defense Evasion tactic, the analysis identified Hide Artifacts (T1564) with moderate confidence (60%), supported by evidence indicating unauthorized access detected only on April 1, 2026 and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to cloud-based storage system. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (80%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (70%)
Cloud Instance Metadata API (60%)
Collection
Data from Local System (90%)
Data from Information Repositories (90%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (70%)
Impact
Data Encrypted for Impact (50%)
Defacement (30%)
Defense Evasion
Hide Artifacts (60%)
Valid Accounts (70%)

Sources & References