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Analyze » Intesa Sanpaolo » INT1774888779

Incident Score: Analysis & Impact (INT1774888779)

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 Incident709 / 1000
Company Score After Incident639 / 1000
Company LinkView Intesa Sanpaolo Profile
INCIDENT NUMBERINT1774888779
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonal and financial information
INCIDENT DATE29/03/2026
STATUSCompleted (fine imposed)

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 INT1774888779.

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 709 and after the incident was 639 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 Intesa Sanpaolo and their customers.

Intesa Sanpaolo recently reported "Intesa Sanpaolo Data Breach and GDPR Violation", a noteworthy cybersecurity incident.

Italy’s data protection authority (Garante per la Protezione dei Dati Personali) imposed a €36 million fine on Intesa Sanpaolo, one of the country’s largest banking groups, following a significant data breach.

The disruption is felt across the environment, and exposing Personal and financial information, with nearly Millions records at risk, plus an estimated financial loss of €36 million (fine).

In response, and began remediation that includes Enhance cybersecurity protocols.

The case underscores how Completed (fine imposed), teams are taking away lessons such as The incident highlights the importance of robust cybersecurity measures and GDPR compliance for financial institutions handling large-scale customer data, and recommending next steps like Enhance security protocols, conduct regular audits, and ensure compliance with data protection regulations.

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 Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating unauthorized access to personal and financial information and Valid Accounts (T1078) with moderate confidence (60%), supported by evidence indicating inadequate security measures exposed sensitive customer data. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with lower confidence (40%), supported by evidence indicating inadequate security measures may have allowed unauthorized access and Unsecured Credentials (T1552) with moderate to high confidence (70%), supported by evidence indicating failed to implement sufficient safeguards to prevent exposure. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personal and financial information of millions of customers. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to personal and financial information and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating data breach involving millions of records. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating significant data breach with high identity theft risk and Defacement (T1491) with lower confidence (20%), supported by evidence indicating brand reputation impact likely significant. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Exploit Public-Facing Application (50%)
Valid Accounts (60%)
Credential Access
Brute Force (40%)
Unsecured Credentials (70%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (30%)
Defacement (20%)

Sources & References