How to integrate ReconFTW with KaliGPT (or an LLM-assisted workflow) Short version: use ReconFTW to produce structured output, then feed that output into an LLM assistant (KaliGPT or a local LLM) to accelerate triage, summarization and report drafting — but don't ask the LLM to generate exploit payloads for unauthorized targets. 1. Install KaliGPT (example community installer) Clone and run the installer script from the SudoHopeX repo: git clone https://github.com/SudoHopeX/KaliGPT.git cd KaliGPT bash kaligpt_unified.sh — help # to install a backend model (example) sudo bash kaligpt_unified.sh — model 1 KaliGPT supports different backends (OpenAI API, browser web mode, local models via Ollama) — check the README for options and requirements. (GitHub)2. Use an LLM to summarize & triage • Option A — Manual: open the relevant ReconFTW output (for example, output/target.com/webs/), copy examples of interesting endpoints or headers, and prompt KaliGPT to summarize likely impact and suggest non-destructive next steps (e.g., further probing, recommended tests, or mitigation suggestions). Keep prompts focused on analysis, not exploit creation. • Option B — Automated: use reconftw_ai or similar tooling to automatically parse ReconFTW outputs and produce markdown reports using a configured LLM model. This repo is explicitly built to analyze ReconFTW outputs and generate reports for different audiences (executive, bug-hunter, etc.). (GitHub) 3. Example safe prompt to KaliGPT (manual workflow) — a policy-friendly example prompt you might use: "I ran ReconFTW against target.com and found the following endpoints and headers: [paste sanitized output]. Please summarize likely exposures, prioritize findings by impact (high/medium/low), and suggest next non-destructive validation steps and remediation notes suitable for a security report." Avoid prompting KaliGPT for exploit payloads, steps to bypass authentication, or instructions that would enable unauthorized access. 4. Automation tip — pipe outputs into a local script that extracts the most common endpoints, takes their HTTP status codes and response sizes, and then sends that sanitized summary into KaliGPT for triage. Keep this process logged and run only within scope and with permission. Example Minimal Integration Flow (conceptual) 1. ./reconftw.sh -d target.com -r -o ./results/target.com 2. Run simple parser to produce a short summary (domains, top web endpoints, exposed buckets). 3. kaligpt -c "Summarize these findings for a bug bounty report:" < summary.txt 4. Review KaliGPT output manually, adjust wording/technical details, and produce final report. (The exact commands depend on which KaliGPT installer/model and which LLM backend you choose; check the KaliGPT README for the kaligpt CLI usage.) (GitHub)Additional resources & links • ReconFTW (GitHub): https://github.com/six2dez/reconftw. (GitHub) • ReconFTW AI analysis helper: https://github.com/six2dez/reconftw_ai. (GitHub) • KaliGPT (community installer example): https://github.com/SudoHopeX/KaliGPT. (GitHu