DeCyberGuardian/sankofaeye

Passive Exposure Intelligence Platform for the African Digital Ecosystem — AfriWealth Cyber Intelligence # SankofaEye 👁️ ### Passive Exposure Intelligence Platform **By AfriWealth Cyber Intelligence** > *"Go back and fetch it."* — Sankofa proverb. > Look back at what is exposed before an adversary does. --- SankofaEye is a **passive exposure intelligence platform** built for cyber threat intelligence practitioners operating in Ghana and the broader West African digital ecosystem. It chains 10 open-source intelligence modules to produce a structured **Exposure Intelligence Report** — branded, PDF-formatted, with MITRE ATT&CK mappings, West Africa threat actor context, mobile money exposure analysis, regulatory compliance mapping, phishing infrastructure detection, an inferred attack path, supplier risk scoring, and multi-channel security alerting. It is **sector-aware** — a media company is not assessed as a bank. Findings, framing, and regulatory mapping adapt to the target's sector (Government, Financial, Telecom, Healthcare, Education, or Commercial), with auto-detection plus manual override. Available as a **CLI tool**, a **Flask web application** (multi-user, scan scheduling, remediation tracking, peer benchmarking, tiered plans), and a **REST API** with Splunk/Elastic SIEM export. **No active exploitation. No direct target interaction. Pure passive OSINT.** --- ## Contents - What SankofaEye Produces - Intelligence Modules - Sector-Aware Reporting - Installation - Usage - Web Interface - REST API & SIEM Export - Project Structure - Configuration - Plans & Pricing - Ethical & Legal Guidelines - Roadmap - Author --- ## What SankofaEye Produces Every scan generates two files — a full intelligence report and a raw data export: ``` output/ ├── SankofaEye_ghipss.com_20260527_113800.pdf ← branded intelligence report ├── SankofaEye_ghipss.com_20260527_113800_executive_summary.pdf ← board-ready summary (flows to 2 pages when warranted) └── SankofaEye_ghipss.com_20260527_113800.json ← structured findings (machine-readable …