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train agent with bug-bounty techniques: methodology meta-agent + recon tricks
- New meta/bugbounty_methodology.md (library 398): distilled high-signal techniques from public writeups (HackerOne Hacktivity, KingOfBugBounty, Awesome-Bugbounty- Writeups, bug-bounty-reference, top hunters) — hunter mindset + per-class tricks (IDOR/BOLA, 403 bypass, account takeover, SSRF->cloud, business logic/race, cache poisoning, subdomain takeover, GraphQL), chaining and reporting. - RECON_SYS gains KingOfBugBounty-style recon: subdomain enum (crt.sh/subfinder/ amass->httpx), historical URLs (gau/waybackurls/katana), gf patterns, param mining (arjun+JS/wayback), content discovery (ffuf/feroxbuster), classic exposure checks (.git/.env/swagger/actuator, dangling CNAMEs). Degrades to installed tools. - Docs: counts 397->398, RELEASE note.
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@@ -40,7 +40,7 @@ You give NeuroSploit a **target** (URL, repo, app, or host/IP). It:
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1. **Recons** the target with real tools (curl/nmap/…).
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2. **Intelligently selects** only the agents whose preconditions match the recon
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(it does *not* blindly run all 397).
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(it does *not* blindly run all 398).
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3. **Exploits** in parallel — each agent works in a ReAct loop and must prove its
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claim with a **tool receipt** (raw output).
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4. **Validates** every candidate by **cross-model voting** (a different model
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@@ -99,7 +99,7 @@ Agents **degrade gracefully**: if `rustscan` is absent they use `nmap`; if neith
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```bash
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neurosploit --version # neurosploit 3.5.5
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neurosploit agents # {"vulns":196,...,"chains":12,"total":397}
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neurosploit agents # {"vulns":196,...,"chains":12,"total":398}
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neurosploit models # all providers & models
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```
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@@ -535,7 +535,7 @@ built from SAST/dataflow), so uncertainty becomes *path reachability*, not state
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## 13. The agent library
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`agents_md/` holds **397** markdown agents in categories:
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`agents_md/` holds **398** markdown agents in categories:
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| Category | Dir | Count | Purpose |
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|----------|-----|-------|---------|
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