Incident Score: Analysis & Impact (REV1785327822)
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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 REV1785327822.
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 725 and after the incident was 637 with a difference of -88 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.
On 25 July 2026, Revolut disclosed Data Breach issues under the banner "Alleged Revolut Data Breach Claims Impact Over 757 Million Users".
A threat actor has claimed to possess and sell a massive dataset allegedly tied to fintech company Revolut, potentially affecting over 757 million users.
The disruption is felt across the environment, and exposing Payment card details, user credentials, device information, customer profiles, account records, with nearly 757000000 records at risk.
Formal response steps have not been shared publicly yet.
The case underscores how Unverified.
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 moderate confidence (60%), supported by evidence indicating user credentials...included in the dataset and Trusted Relationship (T1199) with lower confidence (40%), supported by evidence indicating dataset allegedly tied to fintech company Revolut. Under the Credential Access tactic, the analysis identified Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating user credentials...included in the dataset and Brute Force: Credential Stuffing (T1110.004) with moderate to high confidence (80%), supported by evidence indicating enable credential-stuffing attacks, account takeovers. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating dataset includes...customer profiles, account records and Data from Information Repositories (T1213) with moderate confidence (60%), supported by evidence indicating payment card details, device information included. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data exfiltration such as Claimed, data sold on dark web and Exfiltration Over Web Service (T1567) with moderate confidence (50%), supported by evidence indicating threat actor has claimed to possess and sell a massive dataset. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating dataset could represent duplicates or fabricated records and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating figure of 757 million could represent duplicates. 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/REV1785327822
- Revolut CyberSecurity Rating page: https://www.rankiteo.com/company/revolut
- Revolut Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/rev1785327822-revolut-breach-july-2026/
- Revolut CyberSecurity Score History: https://www.rankiteo.com/company/revolut/history
- Revolut CyberSecurity Incident Source: https://gbhackers.com/threat-actor-claims-revolut-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