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CyberSecurityUP
3ca3f269ee
Harness intelligence: - After recon, the model SELECTS which specialist agents match the target (select_agents) — runs the relevant subset, not blindly top-N - RL reward store (rl.rs): per-agent weights persist to data/rl_state_rs.json, reward validated findings (severity-weighted), decay idle, bias next run - Run artifacts persisted as JSON + MD (recon, exploitation transcript, findings, html report) under runs/<target>-<ts>/ for reuse by other AIs Whitebox mode: - run_whitebox: walks a repo, builds bounded source context, runs code agents, validates by adversarial vote. CLI `whitebox <path>` + web "White-box" mode Agents: +12 recon (subdomain/tech/js/api/secrets/dns/content/param/waf/cloud/ graphql/osint) and +24 code SAST reviewers (sqli/cmdi/path/ssrf/xss/deser/ secrets/crypto/authz/idor/xxe/redirect/ssti/race/eval/csrf/random/logging/ upload/mass-assign/jwt/cors). Loader gains recon/ + code/ categories → 249 total Models: +Google Gemini provider (API + gemini CLI subscription); installed_cli_ backends now detects gemini; chat_cli handles gemini/codex/grok + optional Playwright MCP (.mcp.json) on the subscription path with autonomy flags GUI: full XBOW-style redesign — sidebar (Operate/Library), topbar status, mode segment (black-box/white-box), model panel, live console, severity cards, agent browser with category filters, models view; responsive + aligned Verified: cargo build --release clean; CLI agents/whitebox; LIVE subscription run shows model selecting 23→4 agents, RL update, artifacts written; GUI + white-box toggle in Playwright. Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
103 lines
1.7 KiB
Plaintext
103 lines
1.7 KiB
Plaintext
# ==============================
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# Environment & Secrets
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# ==============================
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.env
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.env.local
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.env.production
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.env.*.local
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# ==============================
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# Python
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# ==============================
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venv/
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__pycache__/
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*.pyc
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*.pyo
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*.pyd
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*.egg-info/
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dist/
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build/
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*.egg
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# ==============================
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# Node.js / Frontend
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# ==============================
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frontend/node_modules/
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frontend/dist/
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# ==============================
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# Database & Scan Data
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# ==============================
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data/neurosploit.db
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data/neurosploit.db.*
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data/*.db
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data/*.db.*
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data/execution_history.json
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data/access_control_learning.json
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data/reports/
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# ==============================
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# Reports & Screenshots
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# ==============================
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reports/screenshots/
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# ==============================
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# Logs & PIDs
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# ==============================
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logs/
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.pids/
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*.log
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# ==============================
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# macOS
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# ==============================
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.DS_Store
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.AppleDouble
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.LSOverride
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# ==============================
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# IDE & Editor
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# ==============================
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# ==============================
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# Claude Code local config
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# ==============================
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.claude/
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# ==============================
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# Docker (runtime)
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# ==============================
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docker/*.env
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# ==============================
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# Results (runtime output)
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# ==============================
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results/
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# v3.3.0 runtime RL state
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data/rl_state.json
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# Playwright demo artifacts
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.playwright-mcp/
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neurosploit_gui_*.png
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neurosploit_demo_*.png
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logs/webgui.log
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# generated reports
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reports/report.*
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reports/*.pdf
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# Rust build artifacts (v3.4.0)
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neurosploit-rs/target/
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reports/*.html
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reports/report_rs.html
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runs/
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data/rl_state_rs.json
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neurosploit-rs/runs/
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v34_gui.png
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