Incident Score: Analysis & Impact (GEINUAMIC1770196655)
The details regarding individual company incidents & reports gives you full view from every side.
Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of Geisinger'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 Geisinger 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 Geisinger breach identified under incident ID GEINUAMIC1770196655.
The analysis begins with a detailed overview of Geisinger's information like the linkedin page: https://www.linkedin.com/company/geisinger, the number of followers: 84447, the industry type: Hospitals and Health Care and the number of employees: 15511 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 544 and after the incident was 437 with a difference of -107 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 Geisinger and their customers.
On 24 June 2024, Geisinger Health System disclosed Data Breach issues under the banner "Former Nuance Engineer Charged in 2023 Geisinger Health Data Breach Affecting 1.3 Million Patients".
A California man, Max Vance (formerly Andre Burk), faces additional charges in connection with the 2023 data breach of Geisinger Health System, which exposed the personal and medical records of over 1.3 million patients.
The disruption is felt across the environment, affecting Geisinger Health System servers, and exposing Personal and medical records of 1.3 million patients, with nearly 1,308,363 records at risk, plus an estimated financial loss of $5 million (settlement amount).
In response, and stakeholders are being briefed through Delayed notification to avoid interfering with federal investigation.
The case underscores how Ongoing (federal investigation), with advisories going out to stakeholders covering Notification sent to affected patients on June 24, 2024.
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 high confidence (95%), with evidence including used his Nuance credentials to query Geisinger’s servers, and after being fired by Microsoft on November 27, 2023. Under the Credential Access tactic, the analysis identified Unsecured Credentials: Private Keys (T1552.004) with moderate to high confidence (80%), supported by evidence indicating nuance credentials...used to access Geisinger’s servers post-employment. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating extracted sensitive patient data...downloading it into two files and Data from Information Repositories (T1213) with high confidence (90%), supported by evidence indicating query Geisinger’s servers...medical record numbers, treatment details. Under the Exfiltration tactic, the analysis identified Transfer Data to Cloud Account (T1537) with high confidence (95%), supported by evidence indicating uploading them to his Microsoft Azure cloud account and Exfiltration Over C2 Channel (T1041) with moderate to high confidence (80%), supported by evidence indicating transferred to his personal laptop and a Samsung hard drive. Under the Defense Evasion tactic, the analysis identified Valid Accounts (T1078) with high confidence (90%), supported by evidence indicating used his Nuance credentials...post-employment to avoid detection and Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate to high confidence (70%), supported by evidence indicating evidence recovered during a search of his El Cajon apartment. Under the Impact tactic, the analysis identified Data Destruction (T1485) with lower confidence (30%), supported by evidence indicating no evidence of data destruction, but exfiltration may enable future misuse and Data Manipulation: Stored Data Manipulation (T1565.001) with lower confidence (20%), supported by evidence indicating no evidence of data manipulation, but unauthorized access occurred. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- Geisinger Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/geisinger/incident/GEINUAMIC1770196655
- Geisinger CyberSecurity Rating page: https://www.rankiteo.com/company/geisinger
- Geisinger Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/geinuamic1770196655-microsoft-nuance-communications-geisinger-health-system-breach-february-2026/
- Geisinger CyberSecurity Score History: https://www.rankiteo.com/company/geisinger/history
- Geisinger CyberSecurity Incident Source: https://www.pennlive.com/news/2026/02/man-accused-in-2023-geisinger-data-breach-case-faces-more-charges.html
- Rankiteo A.I CyberSecurity Rating methodology: https://www.rankiteo.com/Images/rankiteo_algo.pdf
- Rankiteo TPRM Scoring methodology: https://static.rankiteo.com/model/rankiteo_tprm_methodology.pdf