Files
ThreatHunt/backend/app.py
mblanke b398f6624c CLAUDE branch
i made have screwed the pooch with this
2025-06-17 06:55:38 -04:00

278 lines
9.4 KiB
Python

import os
import logging
from flask import Flask, request, jsonify, send_from_directory
from werkzeug.utils import secure_filename
from datetime import datetime
# Try to import flask-cors
try:
from flask_cors import CORS
CORS_AVAILABLE = True
except ImportError:
CORS_AVAILABLE = False
print("Warning: flask-cors not available")
# Configure logging
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
app = Flask(__name__, static_folder="../frontend/dist")
# Enable CORS
if CORS_AVAILABLE:
CORS(app)
else:
@app.after_request
def after_request(response):
response.headers.add('Access-Control-Allow-Origin', '*')
response.headers.add('Access-Control-Allow-Headers', 'Content-Type,Authorization')
response.headers.add('Access-Control-Allow-Methods', 'GET,PUT,POST,DELETE')
return response
# Configuration
app.config['MAX_CONTENT_LENGTH'] = 100 * 1024 * 1024
app.config['UPLOAD_FOLDER'] = 'uploaded'
app.config['ALLOWED_EXTENSIONS'] = {'csv', 'json', 'txt', 'log'}
# Ensure upload directory exists
os.makedirs(app.config['UPLOAD_FOLDER'], exist_ok=True)
@app.route('/api/health')
def health_check():
return jsonify({
'status': 'healthy',
'timestamp': datetime.utcnow().isoformat(),
'version': '1.0.0',
'service': 'Cyber Threat Hunter API'
})
@app.route('/')
def index():
return jsonify({'message': 'Cyber Threat Hunter API', 'status': 'running'})
@app.route('/api/test')
def test():
return jsonify({'message': 'API is working', 'timestamp': datetime.now().isoformat()})
if __name__ == "__main__":
print("=" * 50)
print("Starting Cyber Threat Hunter Backend...")
print("API available at: http://localhost:5000")
print("Health check: http://localhost:5000/api/health")
print("=" * 50)
app.run(host="0.0.0.0", port=5000, debug=True)
@app.errorhandler(RequestEntityTooLarge)
def handle_file_too_large(e):
return jsonify({'error': 'File too large. Maximum size is 100MB.'}), 413
@app.errorhandler(Exception)
def handle_exception(e):
logger.error(f"Unhandled exception: {e}")
return jsonify({'error': 'Internal server error'}), 500
# Security analysis functions
def analyze_security_tools(csv_path):
"""Analyze CSV for security tools based on process names."""
try:
df = pd.read_csv(csv_path)
# Load security tools list
tools_file = os.path.join('lists', 'security-tools.md')
if not os.path.exists(tools_file):
return {'error': 'Security tools list not found'}
with open(tools_file, 'r', encoding='utf-8') as f:
content = f.read()
# Extract tool names (simplified)
tools = set()
for line in content.split('\n'):
line = line.strip()
if line and not line.startswith('#') and not line.endswith(':'):
if line.lower().endswith('.exe') or '.' not in line:
tools.add(line.lower())
# Analyze CSV for tools
process_col = None
for col in df.columns:
if any(keyword in col.lower() for keyword in ['process', 'image', 'executable']):
process_col = col
break
if not process_col:
return {'error': 'No process column found in CSV'}
found_tools = {}
for _, row in df.iterrows():
process_name = str(row[process_col]).lower()
for tool in tools:
if tool in process_name:
host = row.get('host', row.get('hostname', 'unknown'))
if tool not in found_tools:
found_tools[tool] = set()
found_tools[tool].add(host)
# Convert sets to lists for JSON serialization
result = {tool: list(hosts) for tool, hosts in found_tools.items()}
return {'tools_found': result, 'total_tools': len(result)}
except Exception as e:
logger.error(f"Security tools analysis error: {e}")
return {'error': str(e)}
# API Routes
@app.route('/api/health')
def health_check():
return jsonify({
'status': 'healthy',
'timestamp': datetime.utcnow().isoformat(),
'version': '1.0.0'
})
@app.route('/api/upload', methods=['POST'])
def upload_file():
try:
if 'file' not in request.files:
return jsonify({'error': 'No file provided'}), 400
file = request.files['file']
if file.filename == '':
return jsonify({'error': 'No file selected'}), 400
if not allowed_file(file.filename):
return jsonify({'error': 'File type not allowed'}), 400
filename = secure_filename(file.filename)
timestamp = datetime.now().strftime('%Y%m%d_%H%M%S')
filename = f"{timestamp}_{filename}"
filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
file.save(filepath)
logger.info(f"File uploaded successfully: {filename}")
return jsonify({
'message': 'File uploaded successfully',
'filename': filename,
'size': os.path.getsize(filepath)
})
except Exception as e:
logger.error(f"Upload error: {e}")
return jsonify({'error': 'Upload failed'}), 500
@app.route('/api/files')
def list_files():
try:
files = []
upload_dir = app.config['UPLOAD_FOLDER']
for filename in os.listdir(upload_dir):
filepath = os.path.join(upload_dir, filename)
if os.path.isfile(filepath):
stat = os.stat(filepath)
files.append({
'name': filename,
'size': stat.st_size,
'modified': datetime.fromtimestamp(stat.st_mtime).isoformat()
})
return jsonify({'files': files})
except Exception as e:
logger.error(f"List files error: {e}")
return jsonify({'error': 'Failed to list files'}), 500
# Security tools analysis endpoint
@app.route('/api/analyze/security-tools/<filename>')
def analyze_security_tools_endpoint(filename):
try:
filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
if not os.path.exists(filepath):
return jsonify({'error': 'File not found'}), 404
result = analyze_security_tools(filepath)
return jsonify(result)
except Exception as e:
logger.error(f"Security tools analysis endpoint error: {e}")
return jsonify({'error': 'Analysis failed'}), 500
@app.route('/api/analyze/<filename>')
def analyze_file(filename):
try:
filepath = os.path.join(app.config['UPLOAD_FOLDER'], filename)
if not os.path.exists(filepath):
return jsonify({'error': 'File not found'}), 404
# Basic file analysis
file_stats = os.stat(filepath)
analysis = {
'filename': filename,
'size': file_stats.st_size,
'created': datetime.fromtimestamp(file_stats.st_ctime).isoformat(),
'modified': datetime.fromtimestamp(file_stats.st_mtime).isoformat()
}
# CSV specific analysis (only if pandas is available)
if filename.lower().endswith('.csv') and PANDAS_AVAILABLE:
try:
df = pd.read_csv(filepath)
analysis.update({
'rows': len(df),
'columns': len(df.columns),
'column_names': df.columns.tolist(),
'preview': df.head().to_dict('records')
})
except Exception as e:
analysis['csv_error'] = str(e)
elif filename.lower().endswith('.csv'):
# Basic CSV analysis without pandas
try:
with open(filepath, 'r', encoding='utf-8') as f:
lines = f.readlines()
analysis.update({
'rows': len(lines) - 1, # Subtract header
'columns': len(lines[0].split(',')) if lines else 0,
'preview': lines[:6] if lines else []
})
except Exception as e:
analysis['csv_error'] = str(e)
return jsonify(analysis)
except Exception as e:
logger.error(f"Analysis error: {e}")
return jsonify({'error': 'Analysis failed'}), 500
# Stats endpoint
@app.route('/api/stats')
def get_stats():
try:
upload_dir = app.config['UPLOAD_FOLDER']
files_count = len([f for f in os.listdir(upload_dir) if os.path.isfile(os.path.join(upload_dir, f))])
return jsonify({
'filesUploaded': files_count,
'analysesCompleted': files_count, # Simplified
'threatsDetected': 0 # Placeholder
})
except Exception as e:
logger.error(f"Stats error: {e}")
return jsonify({'error': 'Failed to get stats'}), 500
# Static file serving
@app.route("/assets/<path:path>")
def send_assets(path):
return send_from_directory(os.path.join(app.static_folder, "assets"), path)
@app.route("/")
def index():
return send_from_directory(app.static_folder, "index.html")
# Catch-all route for React Router
@app.route("/<path:path>")
def catch_all(path):
return send_from_directory(app.static_folder, "index.html")
if __name__ == "__main__":
app.run(host="0.0.0.0", port=5000, debug=True)