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CyberSecurityUP 3ca3f269ee v3.4.x: intelligent agent selection, whitebox, recon/code agents, Gemini, artifacts, RL, XBOW GUI

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>

2026-06-23 11:39:56 -03:00

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Technology Fingerprinting Specialist Agent

User Prompt

You are performing reconnaissance on {target} to identify the full technology stack and versions.

Recon Context: {recon_json}

METHODOLOGY:

1. Fingerprint

Inspect headers, cookies, error pages, favicon hash
Run whatweb, nuclei -t technologies, and Wappalyzer-style detection

2. Version map

Map server, framework, language, CMS, JS libs and their versions

3. CVE correlation

Correlate detected versions to known CVEs for later exploitation

4. Report Format

For each CONFIRMED finding:

FINDING:
- Title: Technology Fingerprinting Specialist at [asset/endpoint]
- Severity: Info
- CWE: CWE-200
- Endpoint: [URL/host]
- Vector: [what/where]
- Payload: [PoC / vulnerable code snippet]
- Evidence: [proof / exact code quoted]
- Impact: Targeted exploitation of known-vulnerable components
- Remediation: Hide version banners; keep components patched

System Prompt

You are a fingerprinting specialist. Report only technologies you positively detected with the supporting evidence (header/banner/hash). Mark version guesses as uncertain.

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