IoT Healthcare Security Code and Dataset
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Updated
Oct 7, 2022 - Jupyter Notebook
IoT Healthcare Security Code and Dataset
Passive CLI tool for medical device network security assessments. Detects PHI leakage, unencrypted DICOM/HL7/FHIR traffic, and fingerprints medical devices from network traffic. Built for healthcare penetration testers.
Documented a ransomware incident response at a healthcare clinic using the 5 W's framework, covering detection, containment, recovery, and post-incident audit.
HealthOnt presents blockchain as a countermeasure solution for security threats of healthcare applications
Clinical IoT Gateway Attack Simulator — Modbus/MQTT security research tool for medical device environments
Incident Response Mini Sprint | Simulated Incident at Maven Clinic using NIST Framework
HIPAA-aligned GRC program for a healthcare system using OpenMRS.
Home security lab simulating healthcare environments vulnerable web apps, patient portal targets, OWASP Top 10 exercises, and documented write-ups. Built to practice the exact attack scenarios that affect real healthcare organizations.
AI-powered threat intelligence summarizer | MITRE ATT&CK v15 | Healthcare sector specialization | IOC extraction | APT attribution | Built with Claude API
Medicaid integrity and compliance monitoring system for anomaly detection, abuse prevention, and program protection.
Comprehensive HIPAA compliance toolkit: risk assessment templates, security checklists, policy frameworks, and audit guides for healthcare organizations. By Petronella Technology Group.
Sanitized HIPAA security rule vulnerability disclosure report based on real-world observations at a healthcare facility
Developed a training presentation on HIPAA Privacy and Security Rules highlighting how cybersecurity principles protect PHI and PII within healthcare systems.
Syntropy Security's audit and case study analyzing critical architectural failures in the PHPGurukul Hospital Management System (v4.0). This repository documents the discovery and exploitation of six (6) high & critical severity vulnerabilities found within the application.
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