Rankiteo Logo
Rankiteo
Leader in Cyber Underwriting
Loading...
NEWRankiteo Cyber Underwriting Desktop - Score, price, and bind from your desktop
WindowsmacOSLinux
Download
Analyze » TitleEase » TIT1788878675

Incident Score: Analysis & Impact (TIT1788878675)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-58
Company Score Before Incident754 / 1000
Company Score After Incident696 / 1000
INCIDENT NUMBERTIT1788878675
Type of Cyber IncidentBreach
ATTACK VECTOREmail Compromise
DATA EXPOSEDSensitive personal and financial information
INCIDENT DATE02/06/2026
STATUSCompleted

Key Highlights From The Incident Analysis

  • Timeline of TitleEase'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 TitleEase 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 TitleEase breach identified under incident ID TIT1788878675.

The analysis begins with a detailed overview of TitleEase's information like the linkedin page: https://www.linkedin.com/company/titleease, the number of followers: 478, the industry type: Real Estate and the number of employees: 25 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 754 and after the incident was 696 with a difference of -58 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 TitleEase and their customers.

On 04 September 2026, TitleEase LLC disclosed Data Breach issues under the banner "TitleEase LLC Discloses Data Breach Affecting Sensitive Personal and Financial Information".

TitleEase LLC, a Rhode Island-based title insurance and settlement services franchisor, reported a data breach involving unauthorized access to employee email accounts containing sensitive consumer information.

The disruption is felt across the environment, affecting Employee email accounts, and exposing Sensitive personal and financial information.

In response, and began remediation that includes Credit monitoring, credit reports, and credit scores for 24 months, and stakeholders are being briefed through Notification letters, dedicated call center, and mailing address for inquiries.

The case underscores how Completed, teams are taking away lessons such as Risks of email-based attacks and exposure of highly sensitive financial and personal data, with advisories going out to stakeholders covering Notification letters sent to affected individuals with instructions for credit monitoring enrollment.

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 Phishing: Spearphishing Link (T1566.002) with moderate to high confidence (80%), supported by evidence indicating suspicious activity was identified in an employee email account and Valid Accounts: Cloud Accounts (T1078.004) with moderate to high confidence (70%), supported by evidence indicating unauthorized access to employee email accounts. Under the Credential Access tactic, the analysis identified Brute Force: Password Guessing (T1110.001) with moderate confidence (60%), supported by evidence indicating unauthorized access to employee email accounts and Credentials from Password Stores (T1555) with moderate confidence (50%), supported by evidence indicating employee email accounts containing sensitive consumer information. Under the Collection tactic, the analysis identified Email Collection: Remote Email Collection (T1114.002) with high confidence (90%), supported by evidence indicating two email accounts had been compromised...exposed names, SSNs, financial details and Data from Local System (T1005) with moderate to high confidence (70%), supported by evidence indicating email accounts containing sensitive consumer information. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating breach potentially exposed SSNs, financial account details, driver’s license numbers and Transfer Data to Cloud Account (T1537) with moderate confidence (60%), supported by evidence indicating unauthorized access to employee email accounts. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no details on extent of breach or data manipulation and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high identity theft and payment information risk. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.

Initial Access
Phishing: Spearphishing Link (80%)
Valid Accounts: Cloud Accounts (70%)
Credential Access
Brute Force: Password Guessing (60%)
Credentials from Password Stores (50%)
Collection
Email Collection: Remote Email Collection (90%)
Data from Local System (70%)
Exfiltration
Exfiltration Over C2 Channel (80%)
Transfer Data to Cloud Account (60%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)

Sources & References