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malware_sandbox.py
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35 lines (31 loc) · 1.34 KB
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from fastapi import APIRouter, UploadFile, File, Depends
from typing import Dict, List
from datetime import datetime
from .auth import get_current_user, User
from ..services.sandbox import sandbox_service
router = APIRouter()
@router.post("/analyze")
async def submit_malware_sample(file: UploadFile = File(...), current_user: User = Depends(get_current_user)):
"""Submit a sample for AI-powered behavioral sandbox analysis."""
# Use a mock hash for the simulation
file_hash = f"a1b2c3d4e5f6g7h8_{datetime.now().timestamp()}"
return {
"status": "QUEUED",
"filename": file.filename,
"submission_id": f"MAL-{datetime.now().timestamp()}",
"timestamp": datetime.now(),
"user": current_user.username
}
@router.get("/report/{report_id}")
def get_malware_report(report_id: str, current_user: User = Depends(get_current_user)):
"""Fetch the full AI analysis report for a given submission."""
# Simulate a report generation based on the analysis id
return sandbox_service.analyze_sample(f"sample-{report_id}.exe", f"hash-{report_id}")
@router.get("/config")
def get_sandbox_config(current_user: User = Depends(get_current_user)):
return {
"runtime_timeout": 300,
"os_target": ["Windows 10", "Ubuntu 22.04"],
"network_isolation": True,
"deep_packet_inspection": True
}