Incident Score: Analysis & Impact (MED1772893855)
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Rankiteo Score Impact Analysis
Key Highlights From The Incident Analysis
- Timeline of MediMap'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 MediMap 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 MediMap breach identified under incident ID MED1772893855.
The analysis begins with a detailed overview of MediMap's information like the linkedin page: https://www.linkedin.com/company/medi-map, the number of followers: 869, the industry type: Hospitals and Health Care and the number of employees: 22 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 667 with a difference of -93 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 MediMap and their customers.
On 22 February 2024, MediMap disclosed Data Tampering issues under the banner "MediMap Patient Data Tampering Incident".
MediMap, a private portal used by aged-care homes, hospices, disability services, and community health providers to manage prescriptions and medication records, was taken offline after an unauthorized actor tampered with patient data.
The disruption is felt across the environment, affecting MediMap portal, and exposing Names, birthdates, prescriber details, care locations, resident status.
In response, moved swiftly to contain the threat with measures like Portal taken offline.
The case underscores how Ongoing, teams are taking away lessons such as Need for clearer statutory requirements, contractual obligations, and governance practices to treat health data as critical infrastructure. Mandatory controls such as multifactor authentication, encryption, independent audits, and incident response obligations should be enforced for systems handling health data, and recommending next steps like Enforce multifactor authentication for health data systems, Implement encryption for sensitive data and Conduct independent audits.
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 (80%), with evidence including unauthorized actor tampered with patient data, and lack of multifactor authentication and Exploit Public-Facing Application (T1190) with moderate confidence (60%), supported by evidence indicating mediMap portal used by aged-care homes was taken offline. Under the Persistence tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized actor tampered with sensitive fields over time. Under the Privilege Escalation tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating actor altered prescriber details and resident status. Under the Defense Evasion tactic, the analysis identified Hide Artifacts: Hidden Files and Directories (T1564.001) with moderate confidence (50%), supported by evidence indicating no details on attack vector or vulnerability exploited and Valid Accounts (T1078) with moderate to high confidence (70%), supported by evidence indicating unauthorized access without detection until tampering occurred. Under the Credential Access tactic, the analysis identified Valid Accounts (T1078) with moderate to high confidence (80%), supported by evidence indicating actor accessed and tampered with patient data fields. Under the Collection tactic, the analysis identified Data from Local System (T1005) with high confidence (90%), supported by evidence indicating names, birthdates, prescriber details, care locations compromised. Under the Impact tactic, the analysis identified Data Manipulation: Stored Data Manipulation (T1565.001) with high confidence (90%), supported by evidence indicating living patients incorrectly marked as deceased and Defacement: Internal Defacement (T1491.001) with moderate to high confidence (80%), supported by evidence indicating unauthorized tampering with patient records. These correlations help security teams understand the attack chain and develop appropriate defensive measures based on the observed tactics and techniques.
Sources & References
- MediMap Rankiteo Cyber Incident Details: https://www.rankiteo.com/company/medi-map/incident/MED1772893855
- MediMap CyberSecurity Rating page: https://www.rankiteo.com/company/medi-map
- MediMap Rankiteo Cyber Incident Blog Article: https://blog.rankiteo.com/med1772893855-medimap-breach-february-2026/
- MediMap CyberSecurity Score History: https://www.rankiteo.com/company/medi-map/history
- MediMap CyberSecurity Incident Source: https://iapp.org/news/a/notes-from-the-asia-pacific-region-nz-government-releases-cyber-security-strategy-privacy-act-reform-on-the-table
- 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