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Analyze » 1st MidAmerica Credit Union » 1ST1770703532

Incident Score: Analysis & Impact (1ST1770703532)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-70
Company Score Before Incident641 / 1000
Company Score After Incident571 / 1000
Company LinkView 1st MidAmerica Credit Union Profile
INCIDENT NUMBER1ST1770703532
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal information, including names and...
INCIDENT DATE08/02/2026
STATUSUnder investigation by Wolf Haldenstein

Key Highlights From The Incident Analysis

  • Timeline of 1st MidAmerica Credit Union'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 1st MidAmerica Credit Union 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 1st MidAmerica Credit Union breach identified under incident ID 1ST1770703532.

The analysis begins with a detailed overview of 1st MidAmerica Credit Union's information like the linkedin page: https://www.linkedin.com/company/1st-midamerica-credit-union, the number of followers: 1490, the industry type: Financial Services and the number of employees: 142 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 641 and after the incident was 571 with a difference of -70 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 1st MidAmerica Credit Union and their customers.

On 09 February 2026, 1st MidAmerica Credit Union (MACU) disclosed Data Breach issues under the banner "1st MidAmerica Credit Union Data Breach Exposes Personal Information of Members".

A data breach at 1st MidAmerica Credit Union (MACU) in December 2024 may have resulted in the theft of sensitive personal information, including names and Social Security numbers.

The disruption is felt across the environment, and exposing Personal information, including names and Social Security numbers.

In response, and stakeholders are being briefed through Breach notifications sent to affected members.

The case underscores how Under investigation by Wolf Haldenstein, with advisories going out to stakeholders covering Affected members notified; advised to monitor for suspicious activity.

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 breach occurred in December 2024, may have resulted in theft of sensitive data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating no details on attack vector, but financial institutions often targeted via public apps. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (50%), supported by evidence indicating social Security numbers compromised, suggesting possible credential manipulation and Brute Force (T1110) with lower confidence (40%), supported by evidence indicating no direct evidence, but common in financial breaches targeting PII. 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. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating compromised data could be circulating on the dark web and Exfiltration Over Web Service (T1567) with moderate confidence (60%), supported by evidence indicating possible data exfiltration to dark web markets. Under the Impact tactic, the analysis identified Data Manipulation (T1565) with moderate confidence (50%), supported by evidence indicating pII exposure increases risk of identity theft and fraud and Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but possible in financial breaches. 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 (50%)
Credential Access
Modify Authentication Process (50%)
Brute Force (40%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Exfiltration Over Web Service (60%)
Impact
Data Manipulation (50%)
Data Destruction (30%)

Sources & References