OB GYN Associates Breach Incident Score: Analysis & Impact (OBG1032310111025)

In this Rankiteo incident briefing, we review the OB GYN Associates breach identified under incident ID OBG1032310111025.

The analysis begins with a detailed overview of OB GYN Associates's information like the linkedin page: https://www.linkedin.com/company/obgyn-associates-madison-and-decatur, the number of followers: 180, the industry type: Medical Practices and the number of employees: 51 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 757 and after the incident was 689 with a difference of -68 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 OB GYN Associates and their customers.

OB/GYN Associates recently reported "OB/GYN Associates Patient Data Breach (2023–2025)", a noteworthy cybersecurity incident.

An unspecified number of patients at OB/GYN Associates had their personal and health-related information exposed after a security incident targeting the organization’s systems.

The disruption is felt across the environment, affecting Internal files containing patient data, and exposing Full names, Dates of birth and Contact details.

In response, teams activated the incident response plan, moved swiftly to contain the threat with measures like Steps taken to contain the incident (unspecified), while recovery efforts such as Enhanced security controls continue, and stakeholders are being briefed through Notification to affected individuals, Offer of complimentary credit-monitoring services and Assistance with identity protection questions.

The case underscores how Ongoing (forensic investigation engaged), and recommending next steps like Affected individuals should enroll in credit-monitoring services, Vigilance against targeted phishing or identity theft attempts and Review and secure other health-related accounts potentially linked to exposed data, with advisories going out to stakeholders covering Notification letters sent to affected patients, Offer of complimentary credit-monitoring services and Guidance on identity protection measures.

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%), supported by evidence indicating internal files containing patient data compromised; no explicit vector but implies credential abuse or insider access.. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (95%), supported by evidence indicating internal files containing patient data (PII/PHI) exposed from mid-2023 to early 2025.. Under the Exfiltration tactic, the analysis identified Exfiltration Over Alternative Protocol: Exfiltration to Cloud Storage (T1048.003) with moderate to high confidence (85%), supported by evidence indicating data exfiltration such as true; no technical details but implies transfer of patient record files.. Under the Impact tactic, the analysis identified Phishing for Information: Spearphishing via Service (T1598.003) with high confidence (90%), supported by evidence indicating attackers could exploit this data for targeted phishing, leveraging service codes and provider details. and Identity Theft (T1659) with high confidence (95%), supported by evidence indicating high identity theft risk due to exposed PII/PHI (names, DOB, insurance IDs, treatment codes).. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.