Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » Aflac » AFL1770237527

Incident Score: Analysis & Impact (AFL1770237527)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-59
Company Score Before Incident760 / 1000
Company Score After Incident701 / 1000
Company LinkView Aflac Profile
INCIDENT NUMBERAFL1770237527
Type of Cyber IncidentBreach
ATTACK VECTORSocial Engineering
DATA EXPOSEDClaims records, health details, Social...
INCIDENT DATE11/06/2025
STATUSOngoing

Key Highlights From The Incident Analysis

  • Timeline of Aflac'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 Aflac 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 Aflac breach identified under incident ID AFL1770237527.

The analysis begins with a detailed overview of Aflac's information like the linkedin page: https://www.linkedin.com/company/aflac, the number of followers: 168536, the industry type: Insurance and the number of employees: 18043 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 760 and after the incident was 701 with a difference of -59 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 Aflac and their customers.

On 12 June 2024, Aflac disclosed Data Breach issues under the banner "Aflac Cybersecurity Breach Linked to Scattered Spider".

Aflac, a major U.S.

The disruption is felt across the environment, and exposing Claims records, health details, Social Security numbers, personal information.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Contained within hours, and stakeholders are being briefed through Public disclosure, offering credit monitoring and identity theft protection.

The case underscores how Ongoing, with advisories going out to stakeholders covering Offering 24 months of complimentary credit monitoring, identity theft protection, and Medical Shield coverage 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 Phishing (T1566) with high confidence (90%), supported by evidence indicating attackers gained access through social engineering and Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating scattered Spider known for advanced social engineering tactics. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating social Security numbers and personal information exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating claims records, health details, personal information compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating exposed data tied to policyholders, beneficiaries, employees. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating high sensitivity of data (SSNs, health details) implies exfiltration. Under the Impact tactic, the analysis identified Data Manipulation (T1565) with moderate confidence (50%), supported by evidence indicating potential misuse of claims records or health details and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of destruction, but breach may enable future misuse. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing (90%)
Phishing: Spearphishing Link (80%)
Credential Access
Unsecured Credentials (70%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Manipulation (50%)
Data Destruction (30%)