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Analyze » Integris for Banks » INT1773124294

Incident Score: Analysis & Impact (INT1773124294)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-62
Company Score Before Incident751 / 1000
Company Score After Incident689 / 1000
INCIDENT NUMBERINT1773124294
Type of Cyber IncidentBreach
ATTACK VECTORemail, mobile
DATA EXPOSEDbank data
INCIDENT DATE28/02/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Integris for Banks'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 Integris for Banks 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 Integris for Banks breach identified under incident ID INT1773124294.

The analysis begins with a detailed overview of Integris for Banks's information like the linkedin page: https://www.linkedin.com/company/integris-for-banks, the number of followers: 4212, the industry type: IT Services and IT Consulting and the number of employees: 125 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 689 with a difference of -62 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 Integris for Banks and their customers.

A newly reported cybersecurity incident, "Banking Trust at Risk: Customers Prioritize Security But Breaches Could Drive Mass Exits", has drawn attention.

A report from Integris reveals a disconnect between customer confidence in bank security and rising cyber threats.

The disruption is felt across the environment, affecting email systems and mobile banking platforms, and exposing bank data.

In response, and stakeholders are being briefed through proactive, plain-language updates on security practices.

The case underscores how teams are taking away lessons such as Technical defenses alone are insufficient; banks must bridge the 'breach-perception gap' through transparency and proactive communication about cybersecurity and AI safeguards, and recommending next steps like Improve visibility into IT spending, enhance communication with customers about security practices, and address AI-related concerns with clear explanations, with advisories going out to stakeholders covering Customers expect clearer communication about cybersecurity and AI safeguards.

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 51% of executives reported a significant email-based breach in the past year and Remote Services (T1477) with moderate to high confidence (70%), supported by evidence indicating 50% of executives dealt with mobile-related incidents. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (50%), supported by evidence indicating email-based breach and mobile-related incidents imply credential compromise and Adversary-in-the-Middle (T1557) with moderate confidence (60%), supported by evidence indicating mobile-related incidents may involve interception of credentials. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating bank data was compromised via email and mobile systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach involving bank data implies exfiltration. Under the Impact tactic, the analysis identified Service Stop (T1489) with moderate confidence (50%), supported by evidence indicating 52% of customers worry AI could freeze accounts or block transactions and Defacement (T1491) with lower confidence (40%), supported by evidence indicating brand reputation impact due to potential mass customer exits. 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%)
Remote Services (70%)
Credential Access
Brute Force (50%)
Adversary-in-the-Middle (60%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Impact
Service Stop (50%)
Defacement (40%)

Sources & References