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Analyze » The Beacon Mutual Insurance Company » BEA1779308766

Incident Score: Analysis & Impact (BEA1779308766)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-69
Company Score Before Incident601 / 1000
Company Score After Incident532 / 1000
Company LinkView The Beacon Mutual Insurance Company Profile
INCIDENT NUMBERBEA1779308766
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal information, including names...
INCIDENT DATE06/01/2026
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of The Beacon Mutual Insurance Company'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 The Beacon Mutual Insurance Company 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 The Beacon Mutual Insurance Company breach identified under incident ID BEA1779308766.

The analysis begins with a detailed overview of The Beacon Mutual Insurance Company's information like the linkedin page: https://www.linkedin.com/company/beacon-mutual-insurance, the number of followers: 1768, the industry type: Insurance and the number of employees: 160 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 601 and after the incident was 532 with a difference of -69 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 The Beacon Mutual Insurance Company and their customers.

On 14 January 2026, Beacon Mutual Insurance Company disclosed Data Breach issues under the banner "Beacon Mutual Insurance Company Data Breach".

Beacon Mutual Insurance Company detected unauthorized activity on its computer network, leading to the exfiltration of sensitive personal information, including names and Social Security numbers.

The disruption is felt across the environment, affecting Computer network, and exposing Sensitive personal information, including names and Social Security numbers.

In response, and stakeholders are being briefed through Data breach notifications sent to affected individuals.

The case underscores how Ongoing, with advisories going out to stakeholders covering Data breach 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.

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 confidence (60%), supported by evidence indicating unauthorized activity on its computer network and Exploit Public-Facing Application (T1190) with lower confidence (40%), supported by evidence indicating accessed and exfiltrated certain files between January 7 and 14. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (50%), supported by evidence indicating unknown actor accessed and exfiltrated certain files. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating exposed sensitive personal data, including names and Social Security numbers. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration confirmed; files accessed between January 7 and 14. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating heightened risk of identity theft and fraud for affected individuals and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating unauthorized activity on its computer network. 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 (60%)
Exploit Public-Facing Application (40%)
Credential Access
Unsecured Credentials (50%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Manipulation: Stored Data Manipulation (40%)
Data Destruction (30%)

Sources & References