v3.6.0 — AI/LLM/Agent/MCP/Skills security, n8n audit, onboarding wizard

- New `ai` agent category (agents_md/ai/, +18): OWASP LLM Top 10 (2025) — prompt
  injection (direct+indirect), jailbreak, system-prompt leak, sensitive-info
  disclosure, improper output handling, excessive agency, RAG/embedding, unbounded
  consumption, supply chain, misinformation — plus MCP risks (tool poisoning,
  excessive permissions/confused-deputy, unsafe tool execution) and Skills/plugin
  + n8n workflow audits (incl. an AI/LLM-node audit). Library 417.
- Pipeline: run_ai (live AI/LLM/MCP red-team) + run_skills_audit (white-box .md/
  .json/folder for skills & exported n8n flows), AI_DOCTRINE + AI_RECON_SYS. Mode
  enum gains Ai/Skills; wired in CLI + TUI.
- CLI: `aitest <url>` and `skills <path>` subcommands. `agents` JSON now reports ai.
- REPL onboarding wizard (/onboard, auto on first launch): pick scope — web /
  infra / cloud / ai / skills — then guided setup; Session.scope drives dispatch;
  shown in /show.
- Models: +claude-sonnet-5, +grok-4.5.
- Version 3.5.6 -> 3.6.0; docs/counts (417) + RELEASE section.
This commit is contained in:
CyberSecurityUP committed 2026-07-10 11:09:19 -03:00
1 parent 26a8c84dc5
commit b09367483a
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@@ -1,4 +1,4 @@
//! NeuroSploit v3.5.6 — interactive harness + CLI (`run` / `whitebox` / `agents` / `models`).
//! NeuroSploit v3.6.0 — interactive harness + CLI (`run` / `whitebox` / `agents` / `models`).
mod repl;
mod tui;
@@ -11,8 +11,8 @@ use std::path::{Path, PathBuf};
#[command(
name = "neurosploit",
version,
about = "NeuroSploit v3.5.6 — multi-model autonomous pentest harness",
long_about = "NeuroSploit v3.5.6 — a Rust multi-model harness that drives a pool of LLMs \
about = "NeuroSploit v3.6.0 — multi-model autonomous pentest harness",
long_about = "NeuroSploit v3.6.0 — a Rust multi-model harness that drives a pool of LLMs \
(API key or local subscription: Claude/Codex/Gemini/Grok) to autonomously test a target. \
After recon it INTELLIGENTLY selects only the agents matching the discovered surface, runs \
them in parallel, then validates every finding by cross-model voting before reporting.\n\n\
@@ -176,6 +176,44 @@ enum Cmd {
#[arg(short, long)]
verbose: bool,
},
/// AI/LLM: red-team a live AI agent / LLM app / MCP endpoint (OWASP LLM Top 10 + MCP risks).
Aitest {
/// URL of the AI agent / LLM chat or API endpoint.
url: String,
#[arg(long = "model")]
models: Vec<String>,
/// Auth header for the AI endpoint (e.g. 'Authorization: Bearer <key>').
#[arg(long)]
auth: Option<String>,
/// Free-text focus, e.g. "prompt injection and excessive agency".
#[arg(long)]
focus: Option<String>,
#[arg(long, default_value_t = 0)]
max_agents: usize,
#[arg(long, default_value_t = 3)]
vote_n: usize,
#[arg(long)]
offline: bool,
#[arg(long)]
subscription: bool,
#[arg(short, long)]
verbose: bool,
},
/// Audit AI Skills/plugins or exported n8n workflows (white-box .md/.json file or folder).
Skills {
/// Path to a skill/plugin/n8n file (.md/.json) or a folder of them.
path: String,
#[arg(long = "model")]
models: Vec<String>,
#[arg(long, default_value_t = 2)]
vote_n: usize,
#[arg(long)]
offline: bool,
#[arg(long)]
subscription: bool,
#[arg(short, long)]
verbose: bool,
},
/// Review a GitHub Pull Request's code (clones the PR head, white-box).
/// Optionally comments back on the PR and/or opens Jira cards per finding.
Pr {
@@ -299,8 +337,8 @@ async fn main() -> anyhow::Result<()> {
Cmd::Agents => {
let lib = agents::load(&base);
println!(
"{{\"vulns\":{},\"recon\":{},\"code\":{},\"infra\":{},\"chains\":{},\"meta\":{},\"total\":{}}}",
lib.vulns.len(), lib.recon.len(), lib.code.len(), lib.infra.len(), lib.chains.len(), lib.meta.len(), lib.total()
"{{\"vulns\":{},\"recon\":{},\"code\":{},\"infra\":{},\"chains\":{},\"ai\":{},\"meta\":{},\"total\":{}}}",
lib.vulns.len(), lib.recon.len(), lib.code.len(), lib.infra.len(), lib.chains.len(), lib.ai.len(), lib.meta.len(), lib.total()
);
}
Cmd::Models => {
@@ -399,6 +437,31 @@ async fn main() -> anyhow::Result<()> {
let out = run_mode(&base, cfg, false, Mode::Host).await?;
print_findings(&out);
}
Cmd::Aitest { url, models, auth, focus, max_agents, vote_n, offline, subscription, verbose } => {
let url = if url.starts_with("http") { url } else { format!("https://{url}") };
let mut cfg = RunConfig::new(&url);
cfg.max_agents = max_agents;
cfg.vote_n = vote_n;
cfg.offline = offline;
cfg.subscription = subscription;
cfg.verbose = verbose;
cfg.instructions = focus;
cfg.auth = auth;
if !models.is_empty() { cfg.models = models; }
let out = run_mode(&base, cfg, false, Mode::Ai).await?;
print_findings(&out);
}
Cmd::Skills { path, models, vote_n, offline, subscription, verbose } => {
let path = resolve_source(&base, &path)?; // local path OR github URL
let mut cfg = RunConfig::new(&path);
cfg.vote_n = vote_n;
cfg.offline = offline;
cfg.subscription = subscription;
cfg.verbose = verbose;
if !models.is_empty() { cfg.models = models; }
let out = run_mode(&base, cfg, false, Mode::Skills).await?;
print_findings(&out);
}
Cmd::Pr { repo, number, models, vote_n, chain_depth, subscription, comment, jira, verbose } => {
let ig = harness::integrations::Integrations::load(&repl::proj_dir());
let owner_repo = normalize_repo(&repo);
@@ -550,7 +613,7 @@ pub(crate) async fn apply_creds(cfg: &mut RunConfig, path: Option<&str>) {
}
#[derive(Clone, Copy, PartialEq)]
pub(crate) enum Mode { Black, White, Grey, Host }
pub(crate) enum Mode { Black, White, Grey, Host, Ai, Skills }
pub(crate) async fn run_greybox_engagement(base: &Path, cfg: RunConfig, mcp: bool) -> anyhow::Result<RunOutput> {
run_mode(base, cfg, mcp, Mode::Grey).await
@@ -634,7 +697,7 @@ pub(crate) fn spawn_engagement(base: &Path, mut cfg: RunConfig, mcp: bool, mode:
println!(" │ ua : {ua}");
write_status(&workdir, "running", &format!("\"target\":{:?}", cfg.target));
println!(" ┌─ NeuroSploit v3.5.6 · by Joas A Santos & Red Team Leaders");
println!(" ┌─ NeuroSploit v3.6.0 · by Joas A Santos & Red Team Leaders");
println!(" │ run id : {run_id}");
println!(" │ target : {}", cfg.target);
println!(" │ models : {}", cfg.models.join(", "));
@@ -643,7 +706,7 @@ pub(crate) fn spawn_engagement(base: &Path, mut cfg: RunConfig, mcp: bool, mode:
println!(" │ repo : {}", cfg.repo.clone().unwrap_or_default());
}
println!(" └─ mode : {}{}{}",
match mode { Mode::White => "white-box", Mode::Grey => "greybox", Mode::Host => "host/infra", Mode::Black => "black-box" },
match mode { Mode::White => "white-box", Mode::Grey => "greybox", Mode::Host => "host/infra", Mode::Ai => "ai/llm", Mode::Skills => "skills/n8n audit", Mode::Black => "black-box" },
if cfg.subscription { " · subscription" } else { " · api" },
if mcp { " · mcp" } else { "" });
@@ -680,6 +743,8 @@ pub(crate) fn spawn_engagement(base: &Path, mut cfg: RunConfig, mcp: bool, mode:
Mode::White => harness::run_whitebox(cfg, &lib, &pool, tx).await,
Mode::Grey => harness::run_greybox(cfg, &lib, &pool, tx).await,
Mode::Host => harness::run_host(cfg, &lib, &pool, tx).await,
Mode::Ai => harness::pipeline::run_ai(cfg, &lib, &pool, tx).await,
Mode::Skills => harness::pipeline::run_skills_audit(cfg, &lib, &pool, tx).await,
Mode::Black => harness::run(cfg, &lib, &pool, tx).await,
}
});