fedphish-platform unifies:

• Federated phishing prediction and training workflows
• Security coevolution simulation (attacker vs defender)
• Benchmark orchestration and scenario management
• Dashboard-ready API and WebSocket streams

• Built to connect research-grade FL security with platform operations
• Consolidates APIs, simulators, configs, and benchmark assets
• Suitable for iterative red-team/blue-team evaluation cycles

fedphish federated-learning phishing-detection adversarial-ml security-simulation fastapi websocket benchmarking

• src/fedphish/: core platform services
• src/federation/vertical/: vertical FL workflows
• src/security/: attacks, defenses, coevolution logic
• src/benchmark/: benchmark pipelines and configs
• src/dashboard/: backend/frontend dashboard modules
• src/api/: unified API entrypoint

• POST /api/v1/predict
• POST /api/v1/predict/batch
• POST /api/v1/training/start
• GET /api/v1/training/status
• POST /api/v1/training/stop
• POST /api/v1/benchmark/run
• GET /api/v1/benchmark/results
• POST /api/v1/security/coevolution/run
• GET /api/v1/security/coevolution/{run_id}
• GET /api/v1/security/game-theory
• GET /health
• GET /metrics
• WS /ws/simulation

pip install -r requirements.txt
uvicorn src.api.main:app --reload

Core: FastAPI, Pydantic, WebSockets
FL/Security: federated training + adversarial simulation modules
Ops: dashboard backend, benchmark config assets