Open Dealer Exchange Breach Incident Score: Analysis & Impact (OPE1765763664)

In this Rankiteo incident briefing, we review the Open Dealer Exchange breach identified under incident ID OPE1765763664.

The analysis begins with a detailed overview of Open Dealer Exchange's information like the linkedin page: https://www.linkedin.com/company/open-dealer-exchange-llc, the number of followers: 4241, the industry type: Software Development and the number of employees: 132 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 752 and after the incident was 640 with a difference of -112 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 Open Dealer Exchange and their customers.

On 12 December 2025, 700Credit, LLC disclosed Data Breach issues under the banner "700Credit Data Breach".

700Credit, LLC, a leading provider of credit reports and compliance solutions for automotive dealerships, experienced a significant data breach affecting millions of consumers nationwide.

The disruption is felt across the environment, affecting Web Application, and exposing Personally Identifiable Information (PII), with nearly 8.4 million records at risk.

In response, teams activated the incident response plan, and began remediation that includes Reviewing and updating policies, procedures, and processes related to the storage and access of personal information, and stakeholders are being briefed through Disclosure to California and Maine Attorney Generals' offices, call center setup for affected individuals.

The case underscores how Ongoing, and recommending next steps like Sign up for free Cyberscout credit monitoring services, Monitor credit reports and financial accounts for unusual activity and Be alert for phishing emails or phone calls, with advisories going out to stakeholders covering Call center setup at 833-586-1820, Monday through Friday, 8 a.m. to 6 p.m. ET.

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 Exploit Public-Facing Application (T1190) with moderate to high confidence (80%), with evidence including suspicious activity within its web application, and attack vector such as Web Application. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with high confidence (90%), with evidence including data exfiltration such as Yes, and 8.4 million stolen records advertised for sale and Exfiltration Over Web Service (T1567) with moderate to high confidence (70%), supported by evidence indicating threat actor ROOTBOY advertised sale on hacking forum. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (0%), Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (0%), and Defacement: Internal Defacement (T1491.001) with lower confidence (0%). Under the Credential Access tactic, the analysis identified Unsecured Credentials: Network Device Configuration (T1552.008) with moderate confidence (50%), supported by evidence indicating web application compromise may imply credential exposure. Under the Collection tactic, the analysis identified Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating 8.4M records exposed such as SSNs, DOB, employment details. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.