Houston Radiology Associated (HRA) Breach Incident Score: Analysis & Impact (HOU1767654386)

In this Rankiteo incident briefing, we review the Houston Radiology Associated (HRA) breach identified under incident ID HOU1767654386.

The analysis begins with a detailed overview of Houston Radiology Associated (HRA)'s information like the linkedin page: https://www.linkedin.com/company/houston-radiology-associated, the number of followers: 135, the industry type: Hospitals and Health Care and the number of employees: 39 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 763 and after the incident was 699 with a difference of -64 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 Radiology Associated (HRA) and their customers.

On 29 December 2025, Associated Radiologists of the Finger Lakes, P.C. disclosed Data Breach issues under the banner "Associated Radiologists of the Finger Lakes Data Breach".

Associated Radiologists of the Finger Lakes, P.C.

The disruption is felt across the environment, affecting Subset of network, and exposing Name, address, medical record number, full or partial Social Security number, date of birth, clinical or treatment information, medical procedure information, medical provider name, prescription information, health insurance information.

In response, moved swiftly to contain the threat with measures like Affected systems were isolated and taken offline, and stakeholders are being briefed through Patient notification on Dec. 29, 2025.

The case underscores how Ongoing, with advisories going out to stakeholders covering Patients informed on Dec. 29, 2025.

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 Valid Accounts (T1078) with moderate to high confidence (70%), with evidence including unauthorized access between October 28 and 30, and suspicious activity on its network and Exploit Public-Facing Application (T1190) with moderate confidence (50%), supported by evidence indicating subset of ARFL’s systems accessed without details on entry vector. Under the Credential Access tactic, the analysis identified Unsecured Credentials (T1552) with moderate confidence (60%), supported by evidence indicating unauthorized access suggests possible credential compromise. Under the Collection tactic, the analysis identified Data from Local System (T1005) with moderate to high confidence (80%), supported by evidence indicating files were accessed and copied from a subset of systems. Under the Exfiltration tactic, the analysis identified Exfiltration Over C2 Channel (T1041) with moderate to high confidence (70%), supported by evidence indicating files were accessed and copied without permission and Exfiltration Over Alternative Protocol (T1048) with moderate confidence (60%), supported by evidence indicating data exfiltration confirmed but method unspecified. Under the Impact tactic, the analysis identified Data Encrypted for Impact (T1486) with lower confidence (30%), supported by evidence indicating no evidence of ransomware or encryption in incident and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (40%), supported by evidence indicating unauthorized copying of files, but no evidence of manipulation. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.