cloning over all the old files
This commit is contained in:
@@ -0,0 +1,220 @@
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import os
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import requests
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import whois
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from docx import Document
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from fpdf import FPDF
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import datetime
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def investigate_website(url):
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"""Investigate the website to find the country of operation and past security breaches."""
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try:
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# Perform WHOIS lookup to determine country
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domain = url.replace("https://", "").replace("http://", "").split("/")[0]
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whois_data = whois.whois(domain)
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country = whois_data.get("country", "Unknown")
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# Check for breaches using Have I Been Pwned API (requires API key)
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hibp_api_url = f"https://haveibeenpwned.com/api/v3/breachedaccount/{domain}"
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headers = {"hibp-api-key": "YOUR_API_KEY_HERE"} # Replace with your HIBP API key
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breaches = []
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try:
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breach_response = requests.get(hibp_api_url, headers=headers)
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if breach_response.status_code == 200:
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breaches = breach_response.json()
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elif breach_response.status_code == 404:
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breaches = "No breaches found."
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else:
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breaches = f"Error: {breach_response.status_code}"
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except Exception as e:
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breaches = f"Error fetching breaches: {e}"
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return {
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"country": country,
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"breaches": breaches,
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"whois_data": str(whois_data)
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}
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except Exception as e:
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return {
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"country": "Error determining country",
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"breaches": f"Error fetching breaches: {e}",
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"whois_data": f"Error: {e}"
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}
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def analyze_headers(url):
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"""Perform a header analysis to identify security weaknesses."""
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try:
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response = requests.get(url)
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headers = response.headers
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# Security headers to check
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security_headers = {
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"Content-Security-Policy": "Missing or insufficient Content-Security-Policy",
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"Strict-Transport-Security": "Missing Strict-Transport-Security",
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"X-Content-Type-Options": "Missing X-Content-Type-Options",
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"X-Frame-Options": "Missing X-Frame-Options",
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"X-XSS-Protection": "Missing or insufficient X-XSS-Protection",
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"Referrer-Policy": "Missing Referrer-Policy",
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"Permissions-Policy": "Missing Permissions-Policy"
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}
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weaknesses = []
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for header, issue in security_headers.items():
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if header not in headers:
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weaknesses.append(issue)
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grade = "A" if not weaknesses else "C" if len(weaknesses) < 3 else "F"
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return {
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"grade": grade,
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"weaknesses": weaknesses,
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"headers": dict(headers)
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}
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except Exception as e:
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return {
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"grade": "Error",
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"weaknesses": [f"Error analyzing headers: {e}"],
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"headers": f"Error: {e}"
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}
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def save_results_to_files(data, output_dir, domain):
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"""Save investigation results to docx, pdf, and markdown files."""
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os.makedirs(output_dir, exist_ok=True)
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# Generate unique filenames using timestamp and domain
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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# Ensure the domain is a valid filename
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domain_safe = "".join(c if c.isalnum() else "_" for c in domain)
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base_filename = f"{domain_safe}_{timestamp}"
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docx_path = os.path.join(output_dir, f"{base_filename}.docx")
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pdf_path = os.path.join(output_dir, f"{base_filename}.pdf")
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md_path = os.path.join(output_dir, f"{base_filename}.md")
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# Create a Word document
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doc = Document()
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doc.add_heading("Website Security Analysis", level=1)
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doc.add_heading("1. Website Investigation", level=2)
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doc.add_paragraph(f"Country of Operation: {data['investigation'].get('country', 'N/A')}")
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doc.add_paragraph(f"Security Breaches: {data['investigation'].get('breaches', 'N/A')}")
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doc.add_heading("2. Header Analysis", level=2)
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doc.add_paragraph(f"Security Grade: {data['headers'].get('grade', 'N/A')}")
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if data['headers'].get('weaknesses'):
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doc.add_paragraph("Weaknesses:")
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for weakness in data['headers']['weaknesses']:
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doc.add_paragraph(f"- {weakness}", style="List Bullet")
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# Add Appendix
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doc.add_heading("Appendix", level=1)
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doc.add_heading("Full WHOIS Data", level=2)
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doc.add_paragraph(data['investigation'].get('whois_data', 'N/A'))
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doc.add_heading("Full Header Analysis", level=2)
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doc.add_paragraph(str(data['headers'].get('headers', 'N/A')))
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doc.add_heading("Full Breach Data", level=2)
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doc.add_paragraph(str(data['investigation'].get('breaches', 'N/A')))
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doc.save(docx_path)
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# Create a Markdown file
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with open(md_path, "w") as md_file:
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md_file.write("# Website Security Analysis\n\n")
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md_file.write("## 1. Website Investigation\n")
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md_file.write(f"- Country of Operation: {data['investigation'].get('country', 'N/A')}\n")
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md_file.write(f"- Security Breaches: {data['investigation'].get('breaches', 'N/A')}\n\n")
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md_file.write("## 2. Header Analysis\n")
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md_file.write(f"- Security Grade: {data['headers'].get('grade', 'N/A')}\n")
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if data['headers'].get('weaknesses'):
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md_file.write("- Weaknesses:\n")
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for weakness in data['headers']['weaknesses']:
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md_file.write(f" - {weakness}\n")
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md_file.write("\n# Appendix\n\n")
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md_file.write("## Full WHOIS Data\n")
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md_file.write(f"```\n{data['investigation'].get('whois_data', 'N/A')}\n```\n")
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md_file.write("## Full Header Analysis\n")
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md_file.write(f"```\n{data['headers'].get('headers', 'N/A')}\n```\n")
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md_file.write("## Full Breach Data\n")
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md_file.write(f"```\n{data['investigation'].get('breaches', 'N/A')}\n```\n")
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# Create a PDF file using FPDF
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pdf = FPDF()
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pdf.set_auto_page_break(auto=True, margin=15)
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pdf.add_page()
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pdf.set_font("Arial", size=12)
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pdf.cell(200, 10, txt="Website Security Analysis", ln=True, align='C')
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pdf.ln(10)
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "1. Website Investigation", ln=True)
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pdf.set_font("Arial", size=12)
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pdf.multi_cell(0, 10, f"Country of Operation: {data['investigation'].get('country', 'N/A')}")
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pdf.multi_cell(0, 10, f"Security Breaches: {data['investigation'].get('breaches', 'N/A')}")
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pdf.ln(5)
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "2. Header Analysis", ln=True)
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pdf.set_font("Arial", size=12)
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pdf.multi_cell(0, 10, f"Security Grade: {data['headers'].get('grade', 'N/A')}")
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if data['headers'].get('weaknesses'):
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pdf.cell(0, 10, "Weaknesses:", ln=True)
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for weakness in data['headers']['weaknesses']:
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pdf.cell(0, 10, f"- {weakness}", ln=True)
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pdf.add_page()
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "Appendix", ln=True)
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "Full WHOIS Data", ln=True)
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pdf.set_font("Arial", size=10)
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pdf.multi_cell(0, 10, data['investigation'].get('whois_data', 'N/A'))
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "Full Header Analysis", ln=True)
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pdf.set_font("Arial", size=10)
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pdf.multi_cell(0, 10, str(data['headers'].get('headers', 'N/A')))
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "Full Breach Data", ln=True)
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pdf.set_font("Arial", size=10)
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pdf.multi_cell(0, 10, str(data['investigation'].get('breaches', 'N/A')))
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pdf.output(pdf_path)
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print(f"Results saved to: {docx_path}, {md_path}, {pdf_path}")
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if __name__ == "__main__":
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# User inputs
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website_url = input("Enter the website URL (including https://): ").strip()
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default_directory = os.getcwd()
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print(f"Default save directory: {default_directory}")
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use_default = input("Do you want to use the default directory? (y/n): ").strip().lower()
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if use_default == 'y':
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output_directory = default_directory
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else:
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output_directory = input("Enter the directory to save results: ").strip()
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# Extract domain name for unique file naming
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domain = website_url.replace("https://", "").replace("http://", "").split("/")[0]
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# Perform analysis
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investigation_results = investigate_website(website_url)
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header_analysis_results = analyze_headers(website_url)
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# Combine results
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results = {
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"investigation": investigation_results,
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"headers": header_analysis_results
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}
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# Save to files
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save_results_to_files(results, output_directory, domain)
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@@ -0,0 +1,220 @@
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import os
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import requests
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import whois
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from docx import Document
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from fpdf import FPDF
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import datetime
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def investigate_website(url):
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"""Investigate the website to find the country of operation and past security breaches."""
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try:
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# Perform WHOIS lookup to determine country
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domain = url.replace("https://", "").replace("http://", "").split("/")[0]
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whois_data = whois.whois(domain)
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country = whois_data.get("country", "Unknown")
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# Check for breaches using Have I Been Pwned API (requires API key)
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hibp_api_url = f"https://haveibeenpwned.com/api/v3/breachedaccount/{domain}"
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headers = {"hibp-api-key": "YOUR_API_KEY_HERE"} # Replace with your HIBP API key
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breaches = []
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try:
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breach_response = requests.get(hibp_api_url, headers=headers)
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if breach_response.status_code == 200:
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breaches = breach_response.json()
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elif breach_response.status_code == 404:
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breaches = "No breaches found."
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else:
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breaches = f"Error: {breach_response.status_code}"
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except Exception as e:
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breaches = f"Error fetching breaches: {e}"
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return {
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"country": country,
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"breaches": breaches,
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"whois_data": str(whois_data)
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}
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except Exception as e:
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return {
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"country": "Error determining country",
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"breaches": f"Error fetching breaches: {e}",
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"whois_data": f"Error: {e}"
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}
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def analyze_headers(url):
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"""Perform a header analysis to identify security weaknesses."""
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try:
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response = requests.get(url)
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headers = response.headers
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# Security headers to check
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security_headers = {
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"Content-Security-Policy": "Missing or insufficient Content-Security-Policy",
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"Strict-Transport-Security": "Missing Strict-Transport-Security",
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"X-Content-Type-Options": "Missing X-Content-Type-Options",
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"X-Frame-Options": "Missing X-Frame-Options",
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"X-XSS-Protection": "Missing or insufficient X-XSS-Protection",
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"Referrer-Policy": "Missing Referrer-Policy",
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"Permissions-Policy": "Missing Permissions-Policy"
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}
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weaknesses = []
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for header, issue in security_headers.items():
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if header not in headers:
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weaknesses.append(issue)
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grade = "A" if not weaknesses else "C" if len(weaknesses) < 3 else "F"
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return {
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"grade": grade,
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"weaknesses": weaknesses,
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"headers": dict(headers)
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}
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except Exception as e:
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return {
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"grade": "Error",
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"weaknesses": [f"Error analyzing headers: {e}"],
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"headers": f"Error: {e}"
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}
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def save_results_to_files(data, output_dir, domain):
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"""Save investigation results to docx, pdf, and markdown files."""
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os.makedirs(output_dir, exist_ok=True)
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# Generate unique filenames using timestamp and domain
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timestamp = datetime.datetime.now().strftime("%Y%m%d_%H%M%S")
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# Ensure the domain is a valid filename
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domain_safe = "".join(c if c.isalnum() else "_" for c in domain)
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base_filename = f"{domain_safe}_{timestamp}"
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docx_path = os.path.join(output_dir, f"{base_filename}.docx")
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pdf_path = os.path.join(output_dir, f"{base_filename}.pdf")
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md_path = os.path.join(output_dir, f"{base_filename}.md")
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# Create a Word document
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doc = Document()
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doc.add_heading("Website Security Analysis", level=1)
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doc.add_heading("1. Website Investigation", level=2)
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doc.add_paragraph(f"Country of Operation: {data['investigation'].get('country', 'N/A')}")
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doc.add_paragraph(f"Security Breaches: {data['investigation'].get('breaches', 'N/A')}")
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doc.add_heading("2. Header Analysis", level=2)
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doc.add_paragraph(f"Security Grade: {data['headers'].get('grade', 'N/A')}")
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if data['headers'].get('weaknesses'):
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doc.add_paragraph("Weaknesses:")
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for weakness in data['headers']['weaknesses']:
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doc.add_paragraph(f"- {weakness}", style="List Bullet")
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# Add Appendix
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doc.add_heading("Appendix", level=1)
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doc.add_heading("Full WHOIS Data", level=2)
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doc.add_paragraph(data['investigation'].get('whois_data', 'N/A'))
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doc.add_heading("Full Header Analysis", level=2)
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doc.add_paragraph(str(data['headers'].get('headers', 'N/A')))
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doc.add_heading("Full Breach Data", level=2)
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doc.add_paragraph(str(data['investigation'].get('breaches', 'N/A')))
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doc.save(docx_path)
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# Create a Markdown file
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with open(md_path, "w") as md_file:
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md_file.write("# Website Security Analysis\n\n")
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md_file.write("## 1. Website Investigation\n")
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md_file.write(f"- Country of Operation: {data['investigation'].get('country', 'N/A')}\n")
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md_file.write(f"- Security Breaches: {data['investigation'].get('breaches', 'N/A')}\n\n")
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md_file.write("## 2. Header Analysis\n")
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md_file.write(f"- Security Grade: {data['headers'].get('grade', 'N/A')}\n")
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if data['headers'].get('weaknesses'):
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md_file.write("- Weaknesses:\n")
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for weakness in data['headers']['weaknesses']:
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md_file.write(f" - {weakness}\n")
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md_file.write("\n# Appendix\n\n")
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md_file.write("## Full WHOIS Data\n")
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md_file.write(f"```\n{data['investigation'].get('whois_data', 'N/A')}\n```\n")
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md_file.write("## Full Header Analysis\n")
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md_file.write(f"```\n{data['headers'].get('headers', 'N/A')}\n```\n")
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md_file.write("## Full Breach Data\n")
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md_file.write(f"```\n{data['investigation'].get('breaches', 'N/A')}\n```\n")
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# Create a PDF file using FPDF
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pdf = FPDF()
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pdf.set_auto_page_break(auto=True, margin=15)
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pdf.add_page()
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pdf.set_font("Arial", size=12)
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pdf.cell(200, 10, txt="Website Security Analysis", ln=True, align='C')
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pdf.ln(10)
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "1. Website Investigation", ln=True)
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pdf.set_font("Arial", size=12)
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pdf.multi_cell(0, 10, f"Country of Operation: {data['investigation'].get('country', 'N/A')}")
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pdf.multi_cell(0, 10, f"Security Breaches: {data['investigation'].get('breaches', 'N/A')}")
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pdf.ln(5)
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "2. Header Analysis", ln=True)
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pdf.set_font("Arial", size=12)
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pdf.multi_cell(0, 10, f"Security Grade: {data['headers'].get('grade', 'N/A')}")
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if data['headers'].get('weaknesses'):
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pdf.cell(0, 10, "Weaknesses:", ln=True)
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for weakness in data['headers']['weaknesses']:
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pdf.cell(0, 10, f"- {weakness}", ln=True)
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pdf.add_page()
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "Appendix", ln=True)
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "Full WHOIS Data", ln=True)
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pdf.set_font("Arial", size=10)
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pdf.multi_cell(0, 10, data['investigation'].get('whois_data', 'N/A'))
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "Full Header Analysis", ln=True)
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pdf.set_font("Arial", size=10)
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pdf.multi_cell(0, 10, str(data['headers'].get('headers', 'N/A')))
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pdf.set_font("Arial", style="B", size=12)
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pdf.cell(0, 10, "Full Breach Data", ln=True)
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pdf.set_font("Arial", size=10)
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pdf.multi_cell(0, 10, str(data['investigation'].get('breaches', 'N/A')))
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pdf.output(pdf_path)
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print(f"Results saved to: {docx_path}, {md_path}, {pdf_path}")
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|
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if __name__ == "__main__":
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# User inputs
|
||||
website_url = input("Enter the website URL (including https://): ").strip()
|
||||
default_directory = os.getcwd()
|
||||
print(f"Default save directory: {default_directory}")
|
||||
use_default = input("Do you want to use the default directory? (y/n): ").strip().lower()
|
||||
|
||||
if use_default == 'y':
|
||||
output_directory = default_directory
|
||||
else:
|
||||
output_directory = input("Enter the directory to save results: ").strip()
|
||||
|
||||
# Extract domain name for unique file naming
|
||||
domain = website_url.replace("https://", "").replace("http://", "").split("/")[0]
|
||||
|
||||
# Perform analysis
|
||||
investigation_results = investigate_website(website_url)
|
||||
header_analysis_results = analyze_headers(website_url)
|
||||
|
||||
# Combine results
|
||||
results = {
|
||||
"investigation": investigation_results,
|
||||
"headers": header_analysis_results
|
||||
}
|
||||
|
||||
# Save to files
|
||||
save_results_to_files(results, output_directory, domain)
|
||||
@@ -0,0 +1,79 @@
|
||||
import pandas as pd
|
||||
import os
|
||||
import whois
|
||||
import socket
|
||||
import requests
|
||||
from ipwhois import IPWhois
|
||||
|
||||
def aggregate_csv_to_excel(folder_path, output_excel):
|
||||
with pd.ExcelWriter(output_excel, engine='xlsxwriter') as writer:
|
||||
for filename in os.listdir(folder_path):
|
||||
if filename.endswith('.csv'):
|
||||
file_path = os.path.join(folder_path, filename)
|
||||
df = pd.read_csv(file_path)
|
||||
|
||||
# Filter relevant columns
|
||||
columns = ['timestamp', 'client_ip', 'server_ip', 'server_port', 'direction', 'total_bytes', 'country', 'flow_state']
|
||||
if 'dns' in df.columns:
|
||||
columns.append('dns')
|
||||
df = df[columns]
|
||||
|
||||
# Investigate each server IP
|
||||
df['whois_info'] = df['server_ip'].apply(get_whois_info)
|
||||
df['geo_info'] = df['server_ip'].apply(get_geo_info)
|
||||
df['virus_total'] = df['server_ip'].apply(check_virus_total)
|
||||
df['dns_lookup'] = df['server_ip'].apply(dns_lookup)
|
||||
|
||||
# Write to Excel
|
||||
sheet_name = os.path.splitext(filename)[0]
|
||||
df.to_excel(writer, sheet_name=sheet_name, index=False)
|
||||
|
||||
def get_whois_info(ip):
|
||||
try:
|
||||
w = whois.whois(ip)
|
||||
return f"Registrar: {w.registrar}, Country: {w.country}"
|
||||
except Exception as e:
|
||||
return f"WHOIS Error: {str(e)}"
|
||||
|
||||
def get_geo_info(ip):
|
||||
try:
|
||||
obj = IPWhois(ip)
|
||||
res = obj.lookup_rdap()
|
||||
return f"Country: {res['asn_country_code']}, ASN: {res['asn']}"
|
||||
except Exception as e:
|
||||
return f"Geo Error: {str(e)}"
|
||||
|
||||
def check_virus_total(ip):
|
||||
try:
|
||||
url = f"https://www.virustotal.com/api/v3/ip_addresses/{ip}"
|
||||
headers = {"x-apikey": "your-api-key-here"} # Replace with your VirusTotal API key
|
||||
response = requests.get(url, headers=headers)
|
||||
if response.status_code == 200:
|
||||
data = response.json()
|
||||
return f"Reputation: {data.get('data', {}).get('attributes', {}).get('reputation', 'N/A')}"
|
||||
else:
|
||||
return f"VT Error: {response.status_code}"
|
||||
except Exception as e:
|
||||
return f"VT Error: {str(e)}"
|
||||
|
||||
def dns_lookup(ip):
|
||||
try:
|
||||
return socket.gethostbyaddr(ip)[0]
|
||||
except socket.herror:
|
||||
return "DNS Lookup Error"
|
||||
|
||||
def main():
|
||||
current_dir = os.getcwd()
|
||||
user_input = input(f"Do you want to use the current directory ({current_dir}) to pull CSV files? (yes/no): ").strip().lower()
|
||||
|
||||
if user_input == 'yes':
|
||||
folder_path = current_dir
|
||||
else:
|
||||
folder_path = input("Please enter the directory where the CSV files are located: ").strip()
|
||||
|
||||
output_excel = os.path.join(current_dir, 'aggregated_investigation.xlsx')
|
||||
aggregate_csv_to_excel(folder_path, output_excel)
|
||||
print(f"Aggregated investigation saved to {output_excel}")
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
Reference in New Issue
Block a user