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🔮 SpecterGraph v1.0.0

SpecterGraph is an advanced, automated defensive security engineering suite designed to audit identity perimeters and hunt down hidden Transitive Privilege Escalation Paths (Shadow Admins).

By modeling complex directory structures (Users, Groups, Service Principals, and High-Value Assets) into a mathematical directed graph, the engine maps out toxic access combinations and structural cycles that traditional linear scanners miss entirely.


🎨 System Canvas Telemetry

The framework features a responsive, custom Black & Deep Purple Cyberpunk UI Dashboard that outputs identified vulnerabilities alongside interactive multi-hop attack trails and dedicated remediation playbooks.

🖼️ Live Report Preview

SpecterGraph UI Dashboard Preview

  • Topological Ingestion Core: Evaluates structured entity relationships.
  • Dijkstra Path Traversal Engine: Traces exact structural hop links to core target assets.
  • Dynamic Mitigator Pass: Generates tailored, architectural fix blueprints per vector.

🛠️ Architecture Breakdown

The framework is decoupled into modular layers for production-grade maintenance:

📁 SpecterGraph/
 ├── 📁 core/
 │    ├── 📄 ingestor.py      # Fault-tolerant telemetry harvester
 │    ├── 📄 graph_engine.py   # NetworkX directed graph model converter
 │    ├── 📄 analyzer.py       # Recursive path evaluation engine
 │    ├── 📄 mitigator.py      # Heuristic remediation blueprint compiler
 │    └── 📄 reporter.py       # Tailwind CSS UI dashboard compiler
 ├── 📁 tests/
 │    ├── 📄 mock_tenant.json  # Stress-test data grid containing cyclical loops
 │    └── 🖼️ dashboard_preview.png # Live reporting UI canvas asset
 ├── 📄 main.py               # Central runtime coordinator
 └── 📄 .gitignore            # Local environment protection rules

About

Graph-driven privilege escalation path analyzer for identity perimeters. Features complex structural loop evaluation, custom risk mitigation playbooks, and a responsive dark-mode cyberpunk UI telemetry canvas.

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