Proof of Usefulness Report

GPT_Vuln-analyzer

Analysis completed on 4/30/2026

+81.36
Proof of Usefulness Score
You're In Business

GPT_Vuln-analyzer demonstrates strong real-world utility by automating penetration testing analysis using LLMs. While its audience reach is niche with nearly 600 GitHub stars and no reported revenue, it shows early innovation in model-agnostic agentic AI applied to offensive security. The project is a solid, albeit small-scale, open-source tool with verifiable traction among security professionals and public mentions on platforms like Kitploit and Offsec Tools.

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Score Breakdown

Real World Utility+20.00
Audience Reach Impact+10.00
Technical Innovation+12.75
Evidence Of Traction+15.00
Market Timing Relevance+8.50
Functional Completeness+4.50
Subtotal+70.75
Usefulness Multiplierx1.15
Final Score+81

Project Details

Project URL
github.com/morpheuslord/GPT_Vuln-analyzer
Description
GPT_Vuln-analyzer is an AI-powered network security tool that combines Nmap, DNS recon, PCAP analysis, JWT inspection, subdomain enumeration, and GeoIP lookups into a single CLI/GUI interface. It feeds scan results to OpenAI, Bard, or Llama2 to generate structured penetration testing reports with CVE identification, risk scoring, and vulnerable service detection. Supports 13 Nmap profiles, multi-threaded packet analysis, and local/cloud LLM backends.
Audience Reach
592 GitHub stars, 67 forks, 11 releases, 296 commits. Cited in security research contexts, actively used by the pentesting community across Linux and Windows. Has a formal CITATION.cff file indicating academic reference. Reached v1.1.9 with a stable installable package (pip install .) and an active discussions board.
Target Users
Security researchers, devs, and hacker.
Technologies
Other, OpenAI API, Python. Semgrep / Bandit / cppcheck / ESLint
Traction Evidence
Github: https://github.com/morpheuslord/GPT_Vuln-analyzer Public Mentions: https://x.com/Alra3ees/status/1883522546533904754 https://tom-doerr.github.io/repo_posts/2025/08/06/morpheuslord-GPT_Vuln-analyzer.html https://www.linkedin.com/posts/hany-soliman-48a63321a_chatgpt-nmap-cybersecurity-share-7042898437473808384-4qXY/ https://offsec.tools/tool/gpt_vuln-analyzer https://kitploit.com/2023/03/gptvuln-analyzer-uses-chatgpt-api-and.html/

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline