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Analyze » Exeter Finance » EXE1782837303

Incident Score: Analysis & Impact (EXE1782837303)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-67
Company Score Before Incident761 / 1000
Company Score After Incident694 / 1000
INCIDENT NUMBEREXE1782837303
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDNames, auto loan account numbers,...
INCIDENT DATE09/06/2026
STATUSCompleted

Key Highlights From The Incident Analysis

  • Timeline of Exeter Finance'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 Exeter Finance 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 Exeter Finance breach identified under incident ID EXE1782837303.

The analysis begins with a detailed overview of Exeter Finance's information like the linkedin page: https://www.linkedin.com/company/exeter-finance-corp, the number of followers: 30891, the industry type: Financial Services and the number of employees: 1718 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 761 and after the incident was 694 with a difference of -67 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 Exeter Finance and their customers.

On 25 June 2026, Exeter Finance LLC disclosed Data Breach issues under the banner "Exeter Finance Data Breach Affecting Consumer Personal Information".

Exeter Finance LLC, a Texas-based auto finance company, confirmed a data breach exposing sensitive consumer information.

The disruption is felt across the environment, and exposing Names, auto loan account numbers, financial account details, and other personal information.

In response, and stakeholders are being briefed through Mail notification to affected consumers.

The case underscores how Completed, with advisories going out to stakeholders covering 12 months of complimentary credit monitoring and identity theft protection through Epiq’s Privacy Solutions ID 1B Credit Monitoring Plus. Services include one-bureau credit monitoring, VantageScore 3.0 credit reports, Social Security number monitoring, dark web surveillance, and change-of-address alerts.

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 to high confidence (70%), supported by evidence indicating unauthorized access to certain personal data and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating detected unauthorized access to personal data. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating financial account details and personal information compromised and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating auto loan account numbers and financial details exposed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, auto loan account numbers, financial account details compromised. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating data breach exposing sensitive consumer information and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating unauthorized access to personal data detected. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (40%), supported by evidence indicating high identity theft and payment information risk noted and Stored Data Manipulation (T1565.001) with moderate confidence (50%), supported by evidence indicating financial account details and personal information compromised. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Valid Accounts (70%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (60%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (40%)
Stored Data Manipulation (50%)

Sources & References