Incident Score: Analysis & Impact (REV1789641174)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Revolut'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 Revolut 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 Revolut breach identified under incident ID REV1789641174.
The analysis begins with a detailed overview of Revolut's information like the linkedin page: https://www.linkedin.com/company/revolut, the number of followers: 2138749, the industry type: Financial Services and the number of employees: 19786 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 286 and after the incident was 235 with a difference of -51 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 Revolut and their customers.
Revolut recently reported "Revolut Faces Extortion Threat After Data Breach Affecting 680 Customers", a noteworthy cybersecurity incident.
A hacking group calling itself *iamnotavillain* has publicly demanded a $3 million ransom from Revolut, threatening to sell the stolen data of approximately 680 customers if the digital bank fails to pay within 24 hours.
The disruption is felt across the environment, and exposing Passports, driving licenses, identity verification images, transaction histories, with nearly 680 records at risk.
In response, and stakeholders are being briefed through Assisting affected customers, collaborating with authorities.
The case underscores how Ongoing, with advisories going out to stakeholders covering Assisting affected customers.
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 Trusted Relationship (T1199) with high confidence (90%), supported by evidence indicating compromised an Italian government email system, impersonating law enforcement and Compromise Accounts: Email Accounts (T1586) with moderate to high confidence (80%), supported by evidence indicating compromised Italian government email system. Under the Credential Access tactic, the analysis identified Compromise Infrastructure: Domains (T1584.001) with moderate to high confidence (70%), supported by evidence indicating compromised Italian government email system to impersonate law enforcement. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating passports, driving licenses, identity verification images, transaction histories and Data from Information Repositories (T1213) with moderate to high confidence (80%), supported by evidence indicating targeted accounts with significant cryptocurrency holdings. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating data breach affecting approximately 680 customers and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating threatening to sell the stolen data. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no evidence of data encryption, but ransom demand implies potential impact and Financial Theft (T1657) with high confidence (90%), supported by evidence indicating $3 million ransom demanded for stolen data. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (60%), supported by evidence indicating redacted screenshots and video allegedly showing compromised data and Impersonation (T1656) with high confidence (90%), supported by evidence indicating impersonating law enforcement to request customer data. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Revolut Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/revolut/incident/REV1789641174
- Revolut CyberSecurity Rating page: https://www.rankiteo.com/company/revolut
- Revolut Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/rev1789641174-revolut-breach-september-2026/
- Revolut CyberSecurity Score History: https://www.rankiteo.com/company/revolut/history
- Revolut CyberSecurity Incident Source: https://www.irishtimes.com/business/2026/09/17/hackers-demand-revolut-hand-over-3m-ransom-amid-data-breach/
- 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