Marquis Breach Incident Score: Analysis & Impact (MAR1463814112725)

In this Rankiteo incident briefing, we review the Marquis breach identified under incident ID MAR1463814112725.

The analysis begins with a detailed overview of Marquis's information like the linkedin page: https://www.linkedin.com/company/marquis-software-solutions, the number of followers: 2981, the industry type: Financial Services and the number of employees: 314 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 638 with a difference of -71 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 and their customers.

On 14 August 2025, CoVantage Credit Union disclosed Data Breach issues under the banner "CoVantage Credit Union and Marquis Software Solutions Data Breach".

Shamis & Gentile P.A.

The disruption is felt across the environment, affecting Marquis Software Solutions' systems (CoVantage Credit Union's internal systems were not impacted), and exposing Names, Addresses and Phone numbers.

In response, teams activated the incident response plan, while recovery efforts such as 24 months of complimentary credit monitoring and identity protection services (via Epiq Privacy Solutions ID) continue, and stakeholders are being briefed through Notifications sent to affected individuals in late October 2025; breach reported to New Hampshire Attorney General on November 26, 2025.

The case underscores how Ongoing (Shamis & Gentile P.A. investigating for potential class action), and recommending next steps like Review account statements and credit reports for unauthorized activity, Place a fraud alert or security freeze on credit reports and Report suspicious activity to financial institutions, law enforcement, and the FTC, with advisories going out to stakeholders covering Notifications sent to affected individuals; breach reported to New Hampshire Attorney General.

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.

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 to high confidence (70%), supported by evidence indicating unauthorized network activity detected; no specific vector but implies abuse of existing access and External Remote Services (T1133) with moderate confidence (60%), supported by evidence indicating third-party breach investigation confirmed attacker accessed systems (remote access implied). Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating attacker accessed and exfiltrated sensitive files including PII/financial data. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol (T1048) with high confidence (90%), supported by evidence indicating exfiltrated sensitive files from its systems (method unspecified but data confirmed stolen). Under the Impact tactic, the analysis identified Data Manipulation: Stolen Data (T1595.001) with high confidence (95%), supported by evidence indicating compromised data included SSNs, financial account details (high-risk for identity theft/fraud) and Malicious Activity Following Breach (T1659) with moderate to high confidence (80%), supported by evidence indicating severe risks of fraud, phishing, and long-term identity exploitation per incident description. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.