Incident Score: Analysis & Impact (INT1774888625)

In this Rankiteo incident briefing, we review the Intesa Sanpaolo breach identified under incident ID INT1774888625.

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 828 and after the incident was 789 with a difference of -39 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 Fined for Undetected Employee Data Breach Affecting 3,573 Customers", a noteworthy cybersecurity incident.

Italy’s data protection authority, the Garante, has imposed a fine on Intesa Sanpaolo after an internal investigation revealed a prolonged breach of customer data by one of its employees.

The disruption is felt across the environment, and exposing Banking information of 3,573 clients, with nearly 3,573 clients, 6,600 unauthorized consultations records at risk.

In response, and began remediation that includes Implemented corrective measures to bolster data security.

The case underscores how Completed, teams are taking away lessons such as Persistent vulnerabilities in financial institutions’ ability to prevent insider threats; need for stricter safeguards for high-profile individuals, and recommending next steps like Improve internal monitoring and access controls; enhance detection of unauthorized access.

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.