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Analyze » Generations Federal Credit Union » GEN1768948309

Incident Score: Analysis & Impact (GEN1768948309)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-93
Company Score Before Incident755 / 1000
Company Score After Incident662 / 1000
Company LinkView Generations Federal Credit Union Profile
INCIDENT NUMBERGEN1768948309
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal data, including names, addresses,...
INCIDENT DATE30/11/2022
STATUSForensic investigation completed (data exfiltration unconfirmed)

Key Highlights From The Incident Analysis

  • Timeline of Generations Federal 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 Generations Federal 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 Generations Federal Credit Union breach identified under incident ID GEN1768948309.

The analysis begins with a detailed overview of Generations Federal Credit Union's information like the linkedin page: https://www.linkedin.com/company/generationsfcu, the number of followers: 2557, the industry type: Financial Services and the number of employees: 159 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 755 and after the incident was 662 with a difference of -93 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 Generations Federal Credit Union and their customers.

Generations Federal Credit Union recently reported "Generations Federal Credit Union Data Breach Settlement", a noteworthy cybersecurity incident.

Generations Federal Credit Union settled a class-action lawsuit over a December 2022 data breach that exposed sensitive information of 18,000 members, including names, addresses, Social Security numbers, driver’s license and passport details, credit/debit card numbers, and med...

The disruption is felt across the environment, and exposing Personal data, including names, addresses, Social Security numbers, driver’s license and passport details, credit/debit card numbers, and medical records, with nearly 18,000 records at risk.

In response, and began remediation that includes Enhanced data security practices for two years.

The case underscores how Forensic investigation completed (data exfiltration unconfirmed), with advisories going out to stakeholders covering Reimbursement options and credit monitoring provided to affected members.

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 compromised personal data of 18,000 members and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating forensic investigations could not confirm data exfiltration. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (50%), supported by evidence indicating social Security numbers, driver’s license, passport details compromised and OS Credential Dumping (T1003) with moderate confidence (60%), supported by evidence indicating credit/debit card numbers and medical records exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, addresses, SSNs, driver’s license, passport, card numbers, medical records. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 18,000 members sensitive data exposed (exfiltration unconfirmed). Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating forensic investigations could not confirm data exfiltration and Data Manipulation: Transmitted Data Manipulation (T1565.002) with moderate confidence (50%), supported by evidence indicating high identity theft and payment information risk. 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%)
OS Credential Dumping (60%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Data Destruction (40%)
Data Manipulation: Transmitted Data Manipulation (50%)

Sources & References