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Analyze » Marquis Data » MAR1764797453

Incident Score: Analysis & Impact (MAR1764797453)

The details regarding individual company incidents & reports gives you full view from every side.

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-50
Company Score Before Incident750 / 1000
Company Score After Incident700 / 1000
Company LinkView Marquis Data Profile
INCIDENT NUMBERMAR1764797453
Type of Cyber IncidentRansomware
ATTACK VECTORNA
DATA EXPOSEDNames, dates of birth, postal...
INCIDENT DATE13/08/2025
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Marquis Data's Ransomware 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 Marquis Data 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 Marquis Data breach identified under incident ID MAR1764797453.

The analysis begins with a detailed overview of Marquis Data's information like the linkedin page: https://www.linkedin.com/company/marquis-data, the number of followers: 1252, the industry type: Software Development and the number of employees: 16 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 750 and after the incident was 700 with a difference of -50 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 Marquis Data and their customers.

On 14 August 2023, Marquis disclosed Ransomware issues under the banner "Marquis Data Breach Affecting US Banks and Credit Unions".

Marquis, a fintech company providing data aggregation tools to banks and credit unions, suffered a ransomware attack on August 14, resulting in a data breach affecting hundreds of thousands of clients.

The disruption is felt across the environment, and exposing Names, dates of birth, postal addresses, bank account numbers, debit/credit card numbers, Social Security numbers, with nearly 400,000+ records at risk.

In response, and stakeholders are being briefed through Data breach notices filed in multiple states.

The case underscores how with advisories going out to stakeholders covering Data breach notices issued to affected clients.

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 to high confidence (70%), supported by evidence indicating marquis provides tools to collect/visualize client data in one place and Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating ransomware attack implies access via compromised credentials. Under the Credential Access tactic, the analysis identified Brute Force (T1110) with moderate confidence (60%), supported by evidence indicating common precursor to ransomware attacks on financial services and Credentials from Password Stores (T1555) with moderate to high confidence (70%), supported by evidence indicating attackers accessed sensitive financial/PII data (implies credential theft). Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), supported by evidence indicating data exfiltration confirmed such as names, SSNs, bank/card numbers and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating fintech data aggregation tools may use cloud storage. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with high confidence (90%), supported by evidence indicating incident explicitly classified as ransomware attack and Data Destruction (T1485) with moderate confidence (50%), supported by evidence indicating ransomware often involves destructive encryption. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Sources & References