Incident Score: Analysis & Impact (INT1775118228)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Intesa Sanpaolo'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 Intesa Sanpaolo 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 Intesa Sanpaolo breach identified under incident ID INT1775118228.
The analysis begins with a detailed overview of Intesa Sanpaolo's information like the linkedin page: https://www.linkedin.com/company/intesa-sanpaolo, the number of followers: 608599, the industry type: Banking and the number of employees: 54522 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 803 and after the incident was 747 with a difference of -56 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 Intesa Sanpaolo and their customers.
Intesa Sanpaolo recently reported "Intesa Sanpaolo Data Breach: Two-Year Undetected Insider Threat Exposes Monitoring Failures", a noteworthy cybersecurity incident.
Italy’s Intesa Sanpaolo bank faced a €31.8 million fine after a single employee accessed the personal data of over 3,500 customers including politically exposed and high-profile individuals without authorization over a period of more than two years.
The disruption is felt across the environment, and exposing Personal data of over 3,500 customers, with nearly 3,500+ records at risk, plus an estimated financial loss of €31.8 million (fine).
In response, and began remediation that includes Enhanced monitoring, stricter access controls, dedicated task forces for anomaly detection.
The case underscores how Completed, teams are taking away lessons such as Insider threats can evade detection through low-volume, time-distributed access patterns. Traditional monitoring systems may fail to flag behavioral anomalies if they prioritize volume over context. High-profile individuals' data requires heightened scrutiny, and recommending next steps like Implement behavioral anomaly detection, enhance monitoring for low-volume unauthorized access, enforce stricter access controls, and establish dedicated task forces for insider threat detection.
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 high confidence (90%), supported by evidence indicating single employee accessed the personal data of over 3,500 customers. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating broad internal access to sensitive data is standard in the sector. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating personal data of over 3,500 customers including politically exposed individuals. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate confidence (50%), supported by evidence indicating no confirmed evidence of data exfiltration or external misuse. Under the Defense Evasion tactic, the analysis identified Obfuscated Files or Information (T1027) with moderate to high confidence (80%), supported by evidence indicating slow, repeated misuse of access remained undetected by relying on gradual, dispersed patterns and Hide Artifacts (T1564) with moderate to high confidence (80%), supported by evidence indicating low-volume, time-distributed unauthorized access evaded detection for over two years. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating prolonged unauthorized access deemed a high-risk violation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Intesa Sanpaolo Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/intesa-sanpaolo/incident/INT1775118228
- Intesa Sanpaolo CyberSecurity Rating page: https://www.rankiteo.com/company/intesa-sanpaolo
- Intesa Sanpaolo Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/int1775118228-intesa-sanpaolo-breach-january-2024/
- Intesa Sanpaolo CyberSecurity Score History: https://www.rankiteo.com/company/intesa-sanpaolo/history
- Intesa Sanpaolo CyberSecurity Incident Source: https://thecyberexpress.com/intesa-sanpaolo-data-breach-missed-for-2-years/
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf