Atlantic Coast Life Insurance Company Breach Incident Score: Analysis & Impact (ATL1767166701)

In this Rankiteo incident briefing, we review the Atlantic Coast Life Insurance Company breach identified under incident ID ATL1767166701.

The analysis begins with a detailed overview of Atlantic Coast Life Insurance Company's information like the linkedin page: https://www.linkedin.com/company/atlantic-coast-life-insurance-company, the number of followers: 437, the industry type: Insurance and the number of employees: 29 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 751 and after the incident was 685 with a difference of -66 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 Atlantic Coast Life Insurance Company and their customers.

On 15 April 2025, Atlantic Coast Life Insurance Company disclosed Data Breach issues under the banner "Atlantic Coast Life Insurance Company Data Breach".

Atlantic Coast Life Insurance Company discovered suspicious activity on its computer systems.

The disruption is felt across the environment, affecting Company computer systems, and exposing Sensitive personally identifiable information.

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

The case underscores how Completed, and recommending next steps like Review financial and medical accounts for suspicious activity, Obtain free credit reports from Equifax, Experian, and TransUnion and Place a fraud alert or credit freeze on your credit file, with advisories going out to stakeholders covering Mailed notices to affected individuals; assistance line at 844-419-5502 for support and enrollment in protection services.

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 Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized actor accessed certain company systems between April 7 and April 15, 2025 and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating suspicious activity detected on the company’s systems (attack vector unspecified). Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating unauthorized access to files containing PII (implies credential compromise). Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating files containing names, SSNs, financial details, and health info accessed. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating potentially acquired files with sensitive PII (data exfiltration implied). Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no ransomware strain identified, but data breach suggests impact and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized access to systems may imply data tampering risk. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.