NeuroSploit v3.2 - Autonomous AI Penetration Testing Platform

116 modules | 100 vuln types | 18 API routes | 18 frontend pages

Major features:
- VulnEngine: 100 vuln types, 526+ payloads, 12 testers, anti-hallucination prompts
- Autonomous Agent: 3-stream auto pentest, multi-session (5 concurrent), pause/resume/stop
- CLI Agent: Claude Code / Gemini CLI / Codex CLI inside Kali containers
- Validation Pipeline: negative controls, proof of execution, confidence scoring, judge
- AI Reasoning: ReACT engine, token budget, endpoint classifier, CVE hunter, deep recon
- Multi-Agent: 5 specialists + orchestrator + researcher AI + vuln type agents
- RAG System: BM25/TF-IDF/ChromaDB vectorstore, few-shot, reasoning templates
- Smart Router: 20 providers (8 CLI OAuth + 12 API), tier failover, token refresh
- Kali Sandbox: container-per-scan, 56 tools, VPN support, on-demand install
- Full IA Testing: methodology-driven comprehensive pentest sessions
- Notifications: Discord, Telegram, WhatsApp/Twilio multi-channel alerts
- Frontend: React/TypeScript with 18 pages, real-time WebSocket updates

backend/api/v1/full_ia.py

@@ -0,0 +1,38 @@
+"""
+NeuroSploit v3 - FULL AI Testing API
+
+Serves the comprehensive pentest prompt and manages FULL AI testing sessions.
+"""
+import logging
+from pathlib import Path
+from fastapi import APIRouter, HTTPException
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+# Default prompt file path - English translation preferred, fallback to original
+PROMPT_PATH_EN = Path("/opt/Prompts-PenTest/pentestcompleto_en.md")
+PROMPT_PATH_PT = Path("/opt/Prompts-PenTest/pentestcompleto.md")
+PROMPT_PATH = PROMPT_PATH_EN if PROMPT_PATH_EN.exists() else PROMPT_PATH_PT
+
+
+@router.get("/prompt")
+async def get_full_ia_prompt():
+    """Return the comprehensive pentest prompt content."""
+    if not PROMPT_PATH.exists():
+        raise HTTPException(
+            status_code=404,
+            detail=f"Pentest prompt file not found at {PROMPT_PATH}"
+        )
+    try:
+        content = PROMPT_PATH.read_text(encoding="utf-8")
+        return {
+            "content": content,
+            "path": str(PROMPT_PATH),
+            "size": len(content),
+            "lines": content.count("\n") + 1,
+        }
+    except Exception as e:
+        logger.error(f"Failed to read prompt file: {e}")
+        raise HTTPException(status_code=500, detail=str(e))