morpheuslord/GPT_Vuln-analyzer

• highreadme#1

  Reposition the README's opening statement to clarify the tool's purpose

  Why:

  CURRENT

  # GPT_Vuln-analyzer
  
  This is a Proof Of Concept application that demostrates how AI can be used to generate accurate results for vulnerability analysis and also allows further utilization of the already super useful ChatGPT made using openai-api, python-nmap, dnsresolver python modules and also use customtkinter and tkinter for the GUI version of the code. This project also has a CLI and a GUI interface, It is capable of doing network vulnerability analysis, DNS enumeration and also subdomain enumeration.

  COPY-PASTE FIX

  Copy

  # GPT_Vuln-analyzer
  
  GPT_Vuln-analyzer is an AI-powered security tool that automates vulnerability report generation from network scan data (Nmap), DNS reconnaissance, PCAP analysis, and JWT analysis. It leverages ChatGPT, Bard, and Llama2 APIs to provide detailed insights and can perform extensive subdomain enumeration. Available with both CLI and GUI interfaces, it's designed for security researchers, ethical hackers, and developers needing efficient vulnerability analysis and reporting.

  OpenDoneDismiss
• mediumhomepage#2

  Add a homepage URL to the repository metadata

  Why:

  COPY-PASTE FIX

  Copy

  https://github.com/morpheuslord/GPT_Vuln-analyzer

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• lowreadme#3

  Add a quick start guide for running the CLI/GUI application

  Why:

  CURRENT

  ## Usage Package
  
  ### Import packages
  
  ```bash
  cd package && pip3/pip install .
  ```
  
  Simple import any of the 3 packages and then add define the variables accordingly
  
  ```python
  from GVA.scanner import NetworkScanner
  from GVA.dns_recon import DNSRecon
  from GVA.geo import geo_ip_recon
  from GVA.jwt import JWTAnalyzer
  from GVA.menus import Menus
  from GVA.packet_analysis import PacketAnalysis
  from GVA.ai_models import NMAP_AI_MODEL
  from GVA.ai_models import DNS_AI_MODEL
  from GVA.ai_models import JWT_AI_MODEL
  from GVA.assets import Assets
  from GVA.subdomain import sub_enum
  from GVA import gui
  
  # The components defined
  dns_enum = DNSRecon()
  geo_ip = geo_ip_recon()
  p_ai_models = NMAP_AI_MODEL()
  dns_ai_models = DNS_AI_MODEL()
  port_scanner = Ne

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  ## Quick Start (CLI/GUI)
  
  To run the application directly via CLI or launch the GUI:
  
  ```bash
  # For CLI
  python3 main.py --cli
  
  # For GUI
  python3 main.py --gui
  ```
  
  ## Usage as a Package
  
  ### Import packages
  
  ```bash
  cd package && pip3/pip install .
  ```
  
  Simple import any of the 3 packages and then add define the variables accordingly
  
  ```python
  from GVA.scanner import NetworkScanner
  from GVA.dns_recon import DNSRecon
  from GVA.geo import geo_ip_recon
  from GVA.jwt import JWTAnalyzer
  from GVA.menus import Menus
  from GVA.packet_analysis import PacketAnalysis
  from GVA.ai_models import NMAP_AI_MODEL
  from GVA.ai_models import DNS_AI_MODEL
  from GVA.ai_models import JWT_AI_MODEL
  from GVA.assets import Assets
  from GVA.subdomain import sub_enum
  from GVA import gui
  
  # The components defined
  dns_enum = DNSRecon()
  geo_ip = geo_ip_recon()
  p_ai_models = NMAP_AI_MODEL()
  dns_ai_models = DNS_AI_MODEL()
  port_scanner = Ne

  OpenDoneDismiss

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• CATEGORY QUERY

  How to automate vulnerability report generation using AI from network scan results?

  you: not recommended
  AI recommended (in order):

  1. OpenVAS/Greenbone Security Manager (GSM)
  2. Python
  3. scikit-learn
  4. TensorFlow
  5. PyTorch
  6. lxml
  7. BeautifulSoup
  8. ReportLab
  9. Pandas
  10. Jinja2
  11. Nessus/Tenable.io
  12. Tenable.io API
  13. Qualys VMDR
  14. Qualys API
  15. DefectDojo
  16. DefectDojo API
  17. OWASP ZAP
  18. Burp Suite
  19. NLTK
  20. spaCy
  21. Hugging Face Transformers
  22. XGBoost
  23. LightGBM
  24. cron
  25. Windows Task Scheduler

  AI recommended 25 alternatives but never named morpheuslord/GPT_Vuln-analyzer. This is the gap to close.

  Show full AI answer
• CATEGORY QUERY

  Tool for AI-driven security analysis combining network and DNS reconnaissance?

  you: not recommended
  AI recommended (in order):

  1. Splunk Enterprise Security (ES) with Splunk UBA
  2. Exabeam Fusion SIEM and XDR
  3. Darktrace Enterprise Immune System
  4. Vectra AI (Cognito Detect & Stream)
  5. Cisco Secure Network Analytics (Stealthwatch) with Cisco Secure DNS (Umbrella)
  6. Elastic Security (SIEM) with Elastic Machine Learning

  AI recommended 6 alternatives but never named morpheuslord/GPT_Vuln-analyzer. This is the gap to close.

  Show full AI answer

• Metadata completeness

  warn

  Suggestion:

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of morpheuslord/GPT_Vuln-analyzer?

  pass
  ✓AI named morpheuslord/GPT_Vuln-analyzer explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• If a team adopts morpheuslord/GPT_Vuln-analyzer in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI named morpheuslord/GPT_Vuln-analyzer explicitly

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

• In one sentence, what problem does the repo morpheuslord/GPT_Vuln-analyzer solve, and who is the primary audience?

  pass
  ⚠AI did not name morpheuslord/GPT_Vuln-analyzer — likely talking about a different project

  AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?