zakirkun/deep-eye
Deep Eye orchestrates multiple AI providers (OpenAI, Claude, Grok, Gemini, OLLAMA, Groq, Mistral, OpenRouter, LiteLLM, LM Studio) for intelligent payload generation, scans targets for 45+ vulnerability types, and produces professional reports with compliance mapping. observed · 2026-08-28
Health v2 · maintenance only
68/100
- Activity 99
- Release rhythm 54
- Longevity 23
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 322
- days_rel: 98
- days_push: 7
- n_releases_24m: 1
Adoption not part of the score
2219 stars · 406 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Deep Eye is an AI-driven penetration testing CLI that orchestrates multiple LLM providers (OpenAI, Claude, Gemini, OLLAMA, Groq, and others) to generate context-aware payloads and scan web targets for 50+ vulnerability types. It produces professional reports with compliance mapping (PCI-DSS, SOC2, ISO 27001), false-positive triage, and export to formats like HTML, PDF, SARIF, and JSON.
Use cases
- scan a web app for sql injection and xss vulnerabilities
- generate ai-powered payloads for penetration testing
- automate bug bounty report writing
- map security findings to pci-dss and iso 27001 compliance
- run vulnerability scans with multiple llm provider failover
- retest a target and diff against a previous scan baseline
- seed a crawl from an openapi swagger spec
When to choose
- you want LLM-assisted payload generation and false-positive triage in a single pentest tool
- you need compliance-mapped, exportable vulnerability reports
- you want flexible AI provider support including local models via OLLAMA
- you run bug bounty work and want HackerOne-style report drafts
When to avoid
- you need a fully passive or compliance-audit-only scanner without AI dependencies
- you cannot provide any AI provider API key and have no local model
- you require a license-audited tool - the license is listed as NOASSERTION despite an MIT badge
- you need a mature enterprise scanner with long-term vendor support
Facets
cli-tool · maturity active
penetration-testing vulnerability-scanning llm-inference agent-framework security security penetration-testing artificial-intelligence developer-tools python windows cli ai-driven-pentesting payload-generation bug-bounty compliance-mapping multi-provider-llm web-security-scanner nuclei-templates playwright reporting linux macos
1 source
- readme: https://github.com/zakirkun/deep-eye · fetched 2026-08-28 · 8f666378c9e6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| zakirkun/deep-eye | main | 68 |
For agents
markdown · JSON · MCP: product_card(name="zakirkun/deep-eye")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem