# Create a virtual environment
python -m venv venv

# Activate the environment
# On Windows:
venv\Scripts\activate
# On macOS/Linux:
source venv/bin/activate

# Install required libraries
pip install requests python-dotenv pydantic

# Initialize project
npm init -y

# Install dependencies
npm install axios dotenv zod
# Install TypeScript if using TS
npm install --save-dev typescript @types/node ts-node

import os
import requests
from typing import List, Dict
from pydantic import BaseModel, ValidationError
from dotenv import load_dotenv

# Load environment variables from.env file
load_dotenv()

# --- Data Models ---
class ThreatActor(BaseModel):
    indicator: str  # IP or Domain
    threat_type: str
    severity: str
    actor_group: str

# --- Core Logic ---
class FortiBleedMonitor:
    def __init__(self, api_key: str):
        self.api_key = api_key
        self.base_url = "https://www.virustotal.com/api/v3/ip_addresses/"
        self.headers = {"x-apikey": self.api_key}

    def check_indicator(selfically, indicator: str) -> Dict:
        """
        Checks a single IP against the threat intelligence API.
        """
        try:
            response = requests.get(f"{self.base_url}{indicator}", headers=self.headers)
            
            # Handle HTTP errors
            response.raise_for_status()
            
            data = response.json()
            # Extracting malicious reputation (simplified logic)
            stats = data.get('data', {}).get('attributes', {}).get('last_analysis_stats', {})
            malicious_count = stats.get('malicious', 0)

            if malicious_count > 0:
                return {
                    "indicator": indicator,
                    "status": "MALICIOUS",
                    "threat_type": "FortiBleed/Ransomware Actor",
                    "severity": "HIGH"
                }
            return {"indicator": indicator, "status": "CLEAN"}

        except requests.exceptions.HTTPError as e:
            print(f"[!] API Error for {indicator}: {e}")
            return {"error": str(e)}
        except Exception as e:
            print(f"[!] Unexpected error: {e}")
            return {"error": "Unknown error"}

    def scan_batch(self, indicators: List[str]):
        print(f"[*] Starting scan on {len(indicators)} indicators...")
        results = []
        for ip in indicators:
            result = self.check_indicator(ip)
            results.append(result)
        return results

# --- Execution Block ---
if __name__mains:
    API_KEY = os.getenv("THREAT_INTEL_API_KEY")
    
    # Example IPs associated with recent Fortinet exploitation attempts
    SUSPICIOUS_IPS = ["1.2.3.4", "185.220.101.10"] 

    if not API_KEY:
        print("[!] Error: THREAT_INT_API_KEY not found in environment.")
        exit(1)

    monitor = FortiBleedMonitor(API_KEY)
    findings = monitor.scan_batch(SUSPICIOUS_IPS)

    for finding in findings:
        print(f"[+] Result: {finding}")

import axios from 'axios';
import * as dotenv from 'dotenv';
import { z } from 'zod';

dotenv.config();

// Define the schema for our threat report
const ThreatReportSchema = z.object({
  indicator: z.string(),
  status: z.enum(['MALICIOUS', 'CLEAN', 'UNKNOWN']),
  severity: z.string().optional(),
});

interface ThreatConfig {
  apiKey: string;
  baseUrl: string;
}

class ThreatIntelligenceService {
  private config: ThreatConfig;

  constructor(config: ThreatConfig) {
    this.config = config;
  }

  /**
   * Analycases an IP address for FortiBleed-related activity
   */
  async analyzeIp(ip: string) {
    try {
      const response = await axios.get(`${this.config.baseUrl}${ip}`, {
        headers: { 'x-apikey': this.config.apiKey }
      });

      const maliciousCount = response.data.data.attributes.last_analysis_stats.malicious;

      const report = {
        indicator: ip,
        status: maliciousCount > 0? 'MALICIOUS' : 'CLEAN',
        severity: maliciousCount > 5? 'CRITICAL' : 'LOW'
      };

      // Validate output against schema
      return ThreatReportSchema.parse(report);

    } catch (error) {
      if (axios.isAxiosError(error)) {
        console.error(`[!] API Error: ${error.response?.status} - ${error.message}`);
      } else {
        console.error(`[!] Unexpected Error: ${error}`);
      }
      throw error;
    }
  }
}

// --- Main Execution ---
async function main() {
  const service = new ThreatIntelligenceService({
    apiKey: process.env.THREAT_INT_API_KEY || '',
    baseUrl: 'https://www.virustotal.com/api/v3/ip_addresses/'
  });

  const targets = ['1.2.3.4', '8.8.8.8'];

  console.log('--- FortiBleed Threat Scan Initiated ---');
  
  for (const ip of targets) {
    try {
      const report = await service.analyzeIp(ip);
      console.log(`[${report.status}] ${report.indicator} - Severity: ${report.severity}`);
    } catch (err) {
      console.log(`[!] Failed to scan ${ip}`);
    }
  }
}

main();

# Threat Intelligence Provider Key
THREAT_INT_API_KEY=your_super_secret_api_key_here

# Environment Settings
LOG_LEVEL=info
ENVIRONMENT=production

# Pattern: Filtered Scanning
def filter_threats(intel_feed: list, watchlist: list):
    # Only process indicators present in our high-risk watchlist
    return [item for item in intel_feed if item in watchlist]