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Analyze » Higginbotham » HIG1772570228

Incident Score: Analysis & Impact (HIG1772570228)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-78
Company Score Before Incident760 / 1000
Company Score After Incident682 / 1000
INCIDENT NUMBERHIG1772570228
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDSensitive personal and financial information
INCIDENT DATE02/03/2026
STATUSpublished

Key Highlights From The Incident Analysis

  • Timeline of Higginbotham'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 Higginbotham 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 Higginbotham breach identified under incident ID HIG1772570228.

The analysis begins with a detailed overview of Higginbotham's information like the linkedin page: https://www.linkedin.com/company/higginbothaminsurance, the number of followers: 28653, the industry type: Insurance and the number of employees: 2514 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 760 and after the incident was 682 with a difference of -78 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 Higginbotham and their customers.

On 03 March 2026, Higginbotham Insurance Agency disclosed Data Breach issues under the banner "Higginbotham Insurance Agency Data Breach".

Higginbotham Insurance Agency disclosed a data breach affecting 9,089 individuals in Texas.

The disruption is felt across the environment, and exposing Sensitive personal and financial information, with nearly 9089 records at risk.

In response, and stakeholders are being briefed through Notification letters sent via U.S. mail to affected individuals.

The case underscores how and recommending next steps like Affected individuals advised to monitor financial statements, consider fraud alerts or credit freezes, and report any suspicious activity to financial institutions and credit bureaus, with advisories going out to stakeholders covering Notification letters may include additional guidance for affected individuals.

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 sensitive personal and financial information and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating no details on breach’s cause, but sensitive data accessed. Under the Credential Access tactic, the analysis identified Modify Authentication Process (T1556) with moderate confidence (60%), supported by evidence indicating social Security numbers and account details compromised and OS Credential Dumping (T1003) with moderate confidence (50%), supported by evidence indicating highly sensitive data exposed, including SSNs. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating names, addresses, SSNs, and payment details compromised and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating insurance agency’s internal systems likely targeted. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating 9,089 records exposed, including SSNs and payment data and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating no details on exfiltration method, but data was accessed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of destruction, but data was exposed and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high risk of identity theft and financial fraud. 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
Modify Authentication Process (60%)
OS Credential Dumping (50%)
Collection
Data from Local System (80%)
Data from Information Repositories (70%)
Exfiltration
Exfiltration Over C2 Channel (70%)
Transfer Data to Cloud Account (50%)
Impact
Data Destruction (30%)
Data Manipulation: Transmitted Data Manipulation (40%)

Sources & References