Build a Vulnerability Assessment and Risk Management Tool for IoT Devices
Create a platform that performs vulnerability scans, firmware inspections, and risk scoring of IoT devices to help users understand security gaps and apply mitigation strategies.IoT devices are often deployed with outdated firmware, default credentials, or unsecured communication protocols — making them prime targets for attackers. A dedicated assessment tool helps identify these risks and guides mitigation before exploitation occurs.
This tool will scan connected IoT devices, analyze open ports, default settings, and firmware signatures. It assigns severity scores and generates actionable insights using the CVSS model or OWASP IoT Top 10 risks.
Device Discovery & Scanning
Detect IoT devices on a network using protocols like SSDP, MDNS, or custom scanning logic.
Firmware & Port Vulnerability Analysis
Scan firmware hashes, open ports, exposed services, and default credentials for common exploits.
Risk Scoring and Categorization
Assign scores to vulnerabilities using CVSS or custom logic, and classify into low/medium/high criticality.
Risk Management Dashboard
Visualize security posture, prioritize risks, and suggest remediation for firmware patches or configuration changes.
The tool scans local or selected IP ranges to identify IoT devices. It extracts basic fingerprinting data, runs vulnerability checks (e.g., CVEs, known exploits), evaluates the severity, and generates a remediation report. For known vendors, firmware hash databases can be used to detect outdated versions.
- Discover connected IoT devices via SSDP/MDNS scan.
- Fingerprint device OS, vendor, services, firmware version (if available).
- Run port scan and compare against known CVEs using services like NIST NVD or local DB.
- Score each finding with CVSS and mark risks as low/medium/high/critical.
- Export report with recommended firmware updates, hardening tips, or isolation practices.
Device Discovery & Port Scanning
Nmap, SSDP broadcast scripts, Python `socket` + `scapy` for raw packet scanning.
Firmware Analysis
Binwalk, Firmware-Mod-Kit, or hashed firmware comparison via SHA256 or fuzzy hashing.
Risk Scoring
CVSS v3 calculators, OWASP IoT Top 10 reference, or local CVE matching database.
Dashboard & Reports
React for UI, Flask/Django backend, and Chart.js or D3.js for visualizations and reports.
1. Implement IoT Device Discovery
Scan the network for devices using SSDP, MDNS, or ping sweeps + ARP fingerprinting.
2. Perform Port & Service Fingerprinting
Check for exposed ports and services using Nmap or Python scripts, and identify protocols.
3. Assess Firmware and Known CVEs
Compare firmware hashes to known vulnerabilities or flag outdated software using vendor version info.
4. Score Risks and Generate Dashboard
Assign severity to findings and show a risk map with mitigation recommendations.
5. Export PDF/HTML Report
Provide downloadable security reports categorized by device, risk, and suggested actions.
Assess. Analyze. Harden Your IoT.
Build a smart vulnerability and risk management system to protect IoT ecosystems — before attackers exploit their weakest links.
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