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Analyze » Houston Health Department » HOU1773073699

Incident Score: Analysis & Impact (HOU1773073699)

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

Rankiteo Score Impact Analysis

Rankiteo Incident Impact-88
Company Score Before Incident721 / 1000
Company Score After Incident633 / 1000
INCIDENT NUMBERHOU1773073699
Type of Cyber IncidentBreach
ATTACK VECTORNA
DATA EXPOSEDPersonally identifiable information (PII) and...
INCIDENT DATE11/12/2025
STATUSPending

Key Highlights From The Incident Analysis

  • Timeline of Houston Health Department'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 Houston Health Department 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 Houston Health Department breach identified under incident ID HOU1773073699.

The analysis begins with a detailed overview of Houston Health Department's information like the linkedin page: https://www.linkedin.com/company/houston-health-department-city, the number of followers: 2977, the industry type: Government Administration and the number of employees: 323 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 721 and after the incident was 633 with a difference of -88 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 Houston Health Department and their customers.

On 10 February 2026, Houston Health Department disclosed Data Breach issues under the banner "Houston Health Department Data Breach".

The Houston Health Department confirmed a data breach impacting 7,445 individuals across the U.S.

The disruption is felt across the environment, and exposing Personally identifiable information (PII) and protected health information (PHI), including names, contact details, medical records, and health insurance data, with nearly 7445 records at risk.

In response, and stakeholders are being briefed through Published a notice on its website advising affected individuals to monitor financial accounts, review credit reports, and remain alert for signs of fraud or identity theft.

The case underscores how Pending, and recommending next steps like Affected individuals were advised to monitor financial accounts, review credit reports, place fraud alerts or credit freezes with major credit bureaus, report suspected misuse to the Federal Trade Commission (FTC), and remain vigilant against healthcare-related fraud, with advisories going out to stakeholders covering Monitor financial accounts, review credit reports, place fraud alerts or credit freezes, report suspected misuse to the FTC, and remain vigilant against healthcare-related fraud.

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 confidence (60%), supported by evidence indicating method of intrusion and responsible parties have not been disclosed and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating breach may have compromised PII and PHI via undisclosed method. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating pII and PHI, including names, contact details, medical records and OS Credential Dumping (T1003) with lower confidence (40%), supported by evidence indicating health insurance data compromised; method undisclosed. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating personally identifiable information (PII) and protected health information (PHI) and Data from Information Repositories (T1213) with moderate to high confidence (70%), supported by evidence indicating medical records and health insurance data 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 impacting 7,445 individuals and Transfer Data to Cloud Account (T1537) with moderate confidence (50%), supported by evidence indicating method of intrusion and responsible parties not disclosed. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating exact scope of exposed data remains unconfirmed and Data Manipulation: Transmitted Data Manipulation (T1565.002) with lower confidence (40%), supported by evidence indicating high identity theft risk; healthcare-related fraud emphasized. 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 (60%)
Exploit Public-Facing Application (50%)
Credential Access
Unsecured Credentials (60%)
OS Credential Dumping (40%)
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