A new open-source project called Deep Eye, hosted on GitHub under the sponsors/zakirkun repository, orchestrates multiple AI providers—including OpenAI, Claude, Grok, Gemini, OLLAMA, Groq, Mistral, OpenRouter, LiteLLM, and LM Studio—to generate intelligent payloads for penetration testing. The tool scans targets for over 45 vulnerability types and produces professional reports with compliance mapping. The repository is listed under GitHub Sponsors, suggesting the developer is seeking funding for the project.
there's a new open-source tool called deep eye that uses a bunch of AI models (openai, claude, grok, gemini, etc.) to generate payloads and scan for 45+ vulnerabilities. it also makes professional reports with compliance mapping. the repo is on github sponsors so the dev is looking for funding.
Deep Eye represents a growing trend of integrating multiple large language models into cybersecurity tools, potentially lowering the barrier for penetration testing. By combining AI providers, it could offer more comprehensive and adaptive threat detection. However, the use of AI for offensive security also raises ethical and legal questions about automated hacking tools being widely accessible. The project's presence on GitHub Sponsors indicates a shift toward community-funded open-source security tools.
deep eye is another sign that AI is being baked into everything, including hacking tools. using multiple LLMs to find vulnerabilities could make pentesting more accessible but also raises questions about who gets to use these tools. the github sponsors thing shows devs are trying to make money off open-source security projects.
Public story text does not change until an admin approves it.
Looped stories are not disposable posts: receipts, claims, reader checks, and moderator decisions can change the approved version over time.