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v3.5.0
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Author SHA1 Message Date
CyberSecurityUP 702f22a87a v3.5.0: REPL quick-wins (Tab-complete, @file/@dir/@line, multiline, /theme, /attach, /context) + installer + README 
REPL (rustyline Helper):
- Tab autocomplete for /commands and @filesystem-paths.
- @path attach: @file, @folder, @file:LINE / @file:START-END fold scope files /
  stack traces into the agent context; /attach <path> and /context to manage.
- Multiline input: end a line with `\` to continue (validator-driven).
- /theme color|mono, /config (=/show); history (↑/↓) persists as before.
- Attachments are merged into the run's instruction context.

Install:
- setup.sh: `curl … | bash` — auto-installs Rust, clones to ~/.neurosploit,
  builds release, links neurosploit into ~/.local/bin; idempotent; env-tunable.

README: v3.5.0, 🧠 (back to "neuro"), one-line install section, neurosploit-on-PATH usage.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-24 21:19:56 -03:00
CyberSecurityUP 5d83e8848e v3.4.1: harness intelligence — router, ReAct, dedup, token-trim, configurable MCP, +54 code agents, credits 
- Task-based model ROUTER (recon/select prefer a fast model; exploit prefers primary; validate uses a different model than the finder)
- ReAct doctrine injected into exploit prompts (Thought→Action→Observation, token-efficient)
- Dedup: unique agents per run + findings deduped by CWE/endpoint/title (highest confidence kept)
- Token economy: recon blob capped for selector + per-agent context
- Configurable MCP: merge user mcp.servers.json into the pipeline's .mcp.json
- +54 white-box/code-analysis agents (NoSQLi, LDAP/XPath, JWT-none, Java/.NET/PHP/Go/Node/Python
  specifics, SSTI, ReDoS, deserialization, etc.) → 303 agents total (78 code)
- Credits: Joas A Santos & Red Team Leaders (CLI banner, interactive header, HTML+Typst report)
- README: GitHub stars/forks badges, 60-second quick start, full API config steps, intuitive layout

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-24 19:49:01 -03:00
CyberSecurityUP deca20d11f docs: README — how to run via API (keys, provider→env→endpoint table) + subscription 
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-24 19:40:00 -03:00
CyberSecurityUP 0a2cf58d9e v3.4.1: slim Rust-only branch 
Keep only the Rust harness (neurosploit-rs/) + the agent library (agents_md/) it
loads at runtime, plus docs. Remove the Python engine, web GUIs, legacy stack,
docker, build scripts and scratch test files from THIS branch only (other
branches keep everything). Rust-focused README with Kali/Docker + tool-install
guidance and testphp/DVWA usage examples.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-24 19:36:16 -03:00
CyberSecurityUP 9dfcea87bc docs: update README for v3.4.0 (Rust harness, whitebox, 249 agents, Gemini, intelligent selection) 
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-23 11:51:07 -03:00
CyberSecurityUP d59f28f36d v3.4.0: subscription backend (Claude Code / Codex / Grok logins) 
The Rust harness can now use models two ways:
- API: provider API key (OpenAI-compatible HTTP) — existing path
- Subscription: drive the locally-installed agentic CLI login directly, no API
  key (anthropic→claude, openai→codex, xai→grok)

- models.rs: ChatClient::chat_cli spawns the CLI (stdin prompt), cli_binary_for
  + installed_cli_backends + binary_in_path PATH detection
- pool.rs: ModelPool::with_auth(subscription); one() routes per model
- types/CLI: RunConfig.subscription + `run --subscription` flag
- web: /api/run honors "subscription"; /api/info reports detected cli_backends;
  SPA gets a "Use subscription" toggle

Verified live: `run --subscription --model anthropic:claude-haiku-4-5` drove the
Claude subscription end-to-end (recon + agent + vote) with no API key set.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-22 16:59:35 -03:00
CyberSecurityUP 56d3f0c723 NeuroSploit v3.4.0 — Rust multi-model harness + Axum dashboard 
New cargo workspace `neurosploit-rs/` (single `neurosploit` binary):

harness crate:
- models.rs: 11 OpenAI-compatible providers / 31 models (Claude, GPT, Grok,
  NVIDIA NIM, DeepSeek, Mistral, Qwen, Groq, Together, OpenRouter, Ollama)
- pool.rs: ModelPool with bounded concurrency, provider failover, and N-model
  validator voting (the panel doubles as the jury)
- agents.rs: loads the existing agents_md/ library (213 agents)
- pipeline.rs: recon → parallel exploit (semaphore-bounded) → N-model
  adversarial vote → score; streams live progress over a channel
- report.rs: HTML report
- tokio + reqwest(rustls); offline mode runs the pipeline without API keys

app binary:
- clap CLI: serve | run | agents | models  (run supports --model x N, --vote-n,
  --max-agents, --offline)
- axum web dashboard with multi-model panel, live console, findings, agent
  browser, embedded report; single binary serves the SPA (no npm/build)

Verified: cargo build clean; agents/models/offline-run CLI; server endpoints
(/api/info, /api/run lifecycle, /report); dashboard + live run in Playwright.

Docs: README v3.4.0 callout + RELEASE.md notes. target/ gitignored.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-21 19:58:43 -03:00
CyberSecurityUP a5badefc29 v3.3.0 GUI dashboard + reports + model expansion + root fix 
Engine:
- Fix: inject IS_SANDBOX=1 so Claude Code's --dangerously-skip-permissions
  works under root (real backend runs were exiting rc=1 immediately)
- models: expand to 40 models / 13 providers, tagged CLI vs API
  (NVIDIA NIM, DeepSeek, Mistral, Qwen/DashScope, Groq, Together, OpenRouter,
  Ollama, Gemini) — Qwen/DeepSeek/Llama usable via API
- backends: on_start callback surfaces the exact argv ("what runs behind it")
- orchestrator: require a Playwright screenshot per confirmed finding; collect
  results/activity.json; auto-generate reports after a run
- report.py: HTML always + PDF via Typst engine (.typ source emitted too)

Web dashboard (webgui/, stdlib only — no npm/build):
- Sidebar dashboard (PentAGI-style): Run / Agents / Insights / Reports / Settings
- Multi-target runs; live execution console + per-task activity; finding cards
  with screenshots; backend+provider+model pickers (CLI & API)
- Agents tab: browse 213 + add new .md agents from the UI
- Insights: interactive RL-weight + severity charts
- Reports: download/preview PDF + HTML
- Settings/API: execution mode, per-provider API keys, orchestrator, verbosity
- Endpoints: /api/agents (GET/POST), /api/rl, /api/config, /api/reports,
  /reports/* + /shots/* static serving

Cleanup: retire replaced web stack (frontend React, FastAPI backend, core
orchestration, old test) to legacy/. Active engine + GUI are fully standalone.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-14 23:26:11 -03:00
CyberSecurityUP 22a7302a35 Add minimalist web GUI for the v3.3.0 engine 
Zero-dependency (stdlib http.server) front-end exposing only the essential
options — URL, backend, model, collaborator, RL + Playwright-MCP toggles — with
a live progress console. Calls neurosploit_agent directly; no npm/build.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-14 22:33:12 -03:00
CyberSecurityUP 55af0d4634 NeuroSploit v3.3.0 — Autonomous MD-Agent Engine 
Re-model the pentest agent into an autonomous, markdown-driven engine that
turns a URL into a full engagement and delegates execution to a locally
installed agentic CLI backend.

Engine (neurosploit_agent/ + ./neurosploit launcher):
- orchestrator composes ONE master prompt from the agent library + RL weights
- backends: auto-detect & drive Claude Code / Codex / Grok CLI (+ Claude
  subscription); headless, autonomous, isolated workdir
- mcp: Playwright MCP (.mcp.json) for browser-based proof-of-execution
- rl: bounded per-agent reinforcement-learning weights w/ per-tech affinity,
  persisted to data/rl_state.json
- models: latest registry incl. NVIDIA NIM provider (PR #28)
- cli: interactive URL prompt + one-shot `run`, `backends`, `agents`, --dry-run

Agent library (agents_md/, 213 total):
- 196 vuln specialists incl. modern LLM/AI, cloud/K8s, API/auth, advanced
  injection, protocol smuggling, logic/crypto/supply-chain classes
- 17 meta-agents: orchestrator, recon, exploit_validator,
  false_positive_filter, severity_assessor, impact_evaluator, reporter,
  rl_feedback + migrated expert roles
- scripts/build_agents.py data-driven builder; REGISTRY.md index

Docs: rewritten README.md, v3.3.0 RELEASE.md, .env.example (NVIDIA NIM, xAI,
engine vars).

Retire legacy Python orchestration (neurosploit.py + agent classes) to legacy/.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
 2026-06-14 20:57:38 -03:00
CyberSecurityUP e0935793c5 NeuroSploit v3.2 - Autonomous AI Penetration Testing Platform 
116 modules | 100 vuln types | 18 API routes | 18 frontend pages

Major features:
- VulnEngine: 100 vuln types, 526+ payloads, 12 testers, anti-hallucination prompts
- Autonomous Agent: 3-stream auto pentest, multi-session (5 concurrent), pause/resume/stop
- CLI Agent: Claude Code / Gemini CLI / Codex CLI inside Kali containers
- Validation Pipeline: negative controls, proof of execution, confidence scoring, judge
- AI Reasoning: ReACT engine, token budget, endpoint classifier, CVE hunter, deep recon
- Multi-Agent: 5 specialists + orchestrator + researcher AI + vuln type agents
- RAG System: BM25/TF-IDF/ChromaDB vectorstore, few-shot, reasoning templates
- Smart Router: 20 providers (8 CLI OAuth + 12 API), tier failover, token refresh
- Kali Sandbox: container-per-scan, 56 tools, VPN support, on-demand install
- Full IA Testing: methodology-driven comprehensive pentest sessions
- Notifications: Discord, Telegram, WhatsApp/Twilio multi-channel alerts
- Frontend: React/TypeScript with 18 pages, real-time WebSocket updates
 2026-02-22 17:59:28 -03:00