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Analyze » Beaulieu International Group » CONBEA1778517405

Incident Score: Analysis & Impact (CONBEA1778517405)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-80
Company Score Before Incident757 / 1000
Company Score After Incident677 / 1000
INCIDENT NUMBERCONBEA1778517405
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personally identifiable information (PII),...
INCIDENT DATE23/03/2026
STATUSOngoing (Class-action investigation)

Key Highlights From The Incident Analysis

  • Timeline of Beaulieu International Group'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 Beaulieu International Group 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 Beaulieu International Group breach identified under incident ID CONBEA1778517405.

The analysis begins with a detailed overview of Beaulieu International Group's information like the linkedin page: https://www.linkedin.com/company/beaulieu-international-group, the number of followers: 23667, the industry type: Chemical Manufacturing and the number of employees: 805 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 757 and after the incident was 677 with a difference of -80 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 Beaulieu International Group and their customers.

On 08 May 2026, New Congoleum LLC disclosed Data Breach issues under the banner "New Congoleum Data Breach Exposes Sensitive Information of Nearly 5,000 Individuals".

On March 24, 2026, New Congoleum LLC detected unusual activity within its network.

The disruption is felt across the environment, and exposing Sensitive personally identifiable information (PII), including names and Social Security numbers, with nearly 4831 records at risk.

In response, teams activated the incident response plan, and stakeholders are being briefed through Written notifications sent to affected parties.

The case underscores how Ongoing (Class-action investigation), with advisories going out to stakeholders covering Written notifications sent to affected parties on May 8, 2026.

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 (50%), supported by evidence indicating detected unusual activity within its network and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating unusual activity within its network (implies potential account misuse). Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate confidence (60%), supported by evidence indicating social Security numbers and names compromised (implies credential harvesting) and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating sensitive PII compromised (may involve credential dumping). Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names and Social Security numbers were compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating pII compromised via internal network (likely stored in repositories). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 4,831 individuals affected (implies data exfiltration occurred) and Exfiltration Over Web Service (T1567) with moderate confidence (50%), supported by evidence indicating unusual activity detected (may involve web-based exfiltration). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating unusual activity detected (potential data destruction) and Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating pII compromised (may involve data manipulation). 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 (50%)
Valid Accounts (60%)
Credential Access
Credentials from Password Stores (60%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service (50%)
Impact
Data Destruction (30%)
Stored Data Manipulation (40%)

Sources & References