v3.5.0: Claude-Code-style interactive harness (REPL) + instruction-steered testing

- New persistent interactive session (app/src/repl.rs), launched when run with no args:
  banner, model selection, API-key config (/key) or subscription (/sub), then a live
  session to set /target, /repo, /auth, and free-text /focus instructions (or just type
  them) that STEER which agents run and how.
- Slash-commands: /model /providers /key /sub /target /repo /auth /focus /mcp /votes
  /agents /show /run /quit  (+ bare text = focus).
- RunConfig gains `instructions` and `auth`:
  * instructions bias both LLM agent-selection and the heuristic (focus keywords →
    injection/access-control/etc. agents get a strong boost)
  * operator directives (focus + auth) injected into recon and exploit prompts so agents
    test as an authenticated user and prioritise the requested vuln classes
- bump 3.4.1 → 3.5.0 (CLI, harness, reports, credits)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
CyberSecurityUP
2026-06-24 19:58:35 -03:00
parent 5d83e8848e
commit 435463979b
9 changed files with 298 additions and 69 deletions
+2 -2
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@@ -604,7 +604,7 @@ dependencies = [
[[package]]
name = "neurosploit"
version = "3.4.1"
version = "3.5.0"
dependencies = [
"anyhow",
"clap",
@@ -617,7 +617,7 @@ dependencies = [
[[package]]
name = "neurosploit-harness"
version = "3.4.1"
version = "3.5.0"
dependencies = [
"anyhow",
"futures",
+1 -1
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@@ -3,7 +3,7 @@ members = ["crates/harness", "app"]
resolver = "2"
[workspace.package]
version = "3.4.1"
version = "3.5.0"
edition = "2021"
license = "MIT"
repository = "https://github.com/JoasASantos/NeuroSploit"
+14 -51
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@@ -1,4 +1,6 @@
//! NeuroSploit v3.4.1 — CLI: `run` (black-box) / `whitebox` (source) / `agents` / `models`.
//! NeuroSploit v3.5.0 — interactive harness + CLI (`run` / `whitebox` / `agents` / `models`).
mod repl;
use clap::{Parser, Subcommand};
use harness::{agents, models::ModelRef, pool::ModelPool, types::RunConfig, RunOutput};
@@ -8,8 +10,8 @@ use std::path::{Path, PathBuf};
#[command(
name = "neurosploit",
version,
about = "NeuroSploit v3.4.1 — multi-model autonomous pentest harness",
long_about = "NeuroSploit v3.4.1 — a Rust multi-model harness that drives a pool of LLMs \
about = "NeuroSploit v3.5.0 — multi-model autonomous pentest harness",
long_about = "NeuroSploit v3.5.0 — 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\
@@ -107,9 +109,13 @@ async fn main() -> anyhow::Result<()> {
let cli = Cli::parse();
let base = find_base();
// No subcommand → launch the Claude-Code-style interactive session.
let cmd = match cli.cmd {
Some(c) => c,
None => interactive(&base).await?, // no args → wizard
None => {
repl::repl(&base).await?;
return Ok(());
}
};
match cmd {
@@ -159,8 +165,8 @@ async fn main() -> anyhow::Result<()> {
Ok(())
}
/// Shared engagement runner for `run` / `whitebox`.
async fn run_engagement(base: &Path, mut cfg: RunConfig, mcp: bool, whitebox: bool) -> anyhow::Result<RunOutput> {
/// Shared engagement runner for `run` / `whitebox` / the interactive session.
pub(crate) async fn run_engagement(base: &Path, mut cfg: RunConfig, mcp: bool, whitebox: bool) -> anyhow::Result<RunOutput> {
let lib = agents::load(base);
// Unique, sortable run id → runs/<id>/
@@ -171,7 +177,7 @@ async fn run_engagement(base: &Path, mut cfg: RunConfig, mcp: bool, whitebox: bo
cfg.rl_path = Some(base.join("data").join("rl_state_rs.json").display().to_string());
write_status(&workdir, "running", &format!("\"target\":{:?}", cfg.target));
println!(" ┌─ NeuroSploit v3.4.1 · by Joas A Santos & Red Team Leaders");
println!(" ┌─ NeuroSploit v3.5.0 · by Joas A Santos & Red Team Leaders");
println!(" │ run id : {run_id}");
println!(" │ target : {}", cfg.target);
println!(" │ models : {}", cfg.models.join(", "));
@@ -235,7 +241,7 @@ async fn run_engagement(base: &Path, mut cfg: RunConfig, mcp: bool, whitebox: bo
Ok(out)
}
fn print_findings(out: &RunOutput) {
pub(crate) fn print_findings(out: &RunOutput) {
println!("\n=== {} validated finding(s) ===", out.findings.len());
println!("{}", serde_json::to_string_pretty(&out.findings).unwrap_or_default());
if !out.artifacts.is_empty() {
@@ -262,46 +268,3 @@ fn write_status(workdir: &Path, state: &str, extra: &str) {
if extra.is_empty() { String::new() } else { format!(",{extra}") }));
}
fn prompt(q: &str, default: &str) -> String {
use std::io::Write;
print!(" {q}{}: ", if default.is_empty() { String::new() } else { format!(" [{default}]") });
std::io::stdout().flush().ok();
let mut s = String::new();
std::io::stdin().read_line(&mut s).ok();
let s = s.trim().to_string();
if s.is_empty() { default.to_string() } else { s }
}
/// Interactive wizard launched when `neurosploit` is run with no subcommand.
async fn interactive(base: &Path) -> anyhow::Result<Cmd> {
let lib = agents::load(base);
let backends = harness::installed_cli_backends();
println!("\n ┌────────────────────────────────────────────┐");
println!(" │ NeuroSploit v3.4.1 — interactive │");
println!(" │ by Joas A Santos & Red Team Leaders │");
println!(" └────────────────────────────────────────────┘");
println!(" agents: {} · detected CLI logins: {}\n",
lib.total(), if backends.is_empty() { "none".into() } else { backends.join(", ") });
let mode = prompt("Mode — (b)lack-box URL or (w)hite-box repo?", "b").to_lowercase();
let whitebox = mode.starts_with('w');
let target = if whitebox {
prompt("Repository path", "/tmp/DVWA")
} else {
prompt("Target URL", "http://testphp.vulnweb.com/")
};
let model = prompt("Model (provider:model)", "anthropic:claude-opus-4-8");
let sub = prompt("Use subscription login (no API key)? (y/n)", "y").to_lowercase().starts_with('y');
let mcp = if whitebox { false } else {
prompt("Use Playwright MCP browser if available? (y/n)", "y").to_lowercase().starts_with('y')
};
let max_agents: usize = prompt("Max agents (0 = all matching)", "5").parse().unwrap_or(5);
let vote_n: usize = prompt("Validator votes (N)", "3").parse().unwrap_or(3);
let models = vec![model];
Ok(if whitebox {
Cmd::Whitebox { path: target, models, max_agents, vote_n, offline: false, subscription: sub, verbose: true }
} else {
Cmd::Run { url: target, models, max_agents, vote_n, offline: false, subscription: sub, mcp, verbose: true }
})
}
+218
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@@ -0,0 +1,218 @@
//! NeuroSploit v3.5.0 — interactive session (Claude-Code / Codex / Cursor-CLI style).
//!
//! Launched when `neurosploit` runs with no subcommand. A persistent REPL where
//! you pick models, set an API key (or use a subscription login), point at a URL
//! or a repo, configure authentication, and write free-text instructions that
//! steer which agents run and how — e.g. "find injection and broken access
//! control". `/run` then executes the engagement with that configuration.
use harness::{agents, types::RunConfig};
use std::io::Write;
use std::path::Path;
/// Mutable session state edited via slash-commands and consumed by `/run`.
struct Session {
models: Vec<String>,
subscription: bool,
mcp: bool,
vote_n: usize,
max_agents: usize,
target: Option<String>,
repo: Option<String>,
auth: Option<String>,
instructions: Option<String>,
}
impl Default for Session {
fn default() -> Self {
Session {
models: vec!["anthropic:claude-opus-4-8".into()],
subscription: harness::installed_cli_backends().contains(&"claude"),
mcp: false,
vote_n: 3,
max_agents: 0,
target: None,
repo: None,
auth: None,
instructions: None,
}
}
}
const PROMPT: &str = "\x1b[35mneurosploit\x1b[0m ";
pub async fn repl(base: &Path) -> anyhow::Result<()> {
let lib = agents::load(base);
let backends = harness::installed_cli_backends();
println!("\x1b[1m");
println!(" ███╗ ██╗███████╗██╗ ██╗██████╗ ██████╗");
println!(" ████╗ ██║██╔════╝██║ ██║██╔══██╗██╔═══██╗ NeuroSploit v3.5.0");
println!(" ██╔██╗ ██║█████╗ ██║ ██║██████╔╝██║ ██║ interactive harness");
println!(" ██║╚██╗██║██╔══╝ ██║ ██║██╔══██╗██║ ██║ by Joas A Santos");
println!(" ██║ ╚████║███████╗╚██████╔╝██║ ██║╚██████╔╝ & Red Team Leaders");
println!(" ╚═╝ ╚═══╝╚══════╝ ╚═════╝ ╚═╝ ╚═╝ ╚═════╝\x1b[0m");
println!(" {} agents loaded · detected logins: {}", lib.total(),
if backends.is_empty() { "none (use API keys)".into() } else { backends.join(", ") });
println!(" Type \x1b[36m/help\x1b[0m to get started, \x1b[36m/run\x1b[0m to launch, \x1b[36m/quit\x1b[0m to exit.\n");
let mut s = Session::default();
show(&s);
let stdin = std::io::stdin();
loop {
print!("{PROMPT}");
std::io::stdout().flush().ok();
let mut line = String::new();
if stdin.read_line(&mut line).unwrap_or(0) == 0 {
println!();
break; // EOF (Ctrl-D)
}
let line = line.trim();
if line.is_empty() {
continue;
}
// A bare line that isn't a command is treated as test instructions.
if !line.starts_with('/') {
s.instructions = Some(line.to_string());
println!(" focus set: {line}");
continue;
}
let mut parts = line.splitn(2, char::is_whitespace);
let cmd = parts.next().unwrap_or("");
let arg = parts.next().unwrap_or("").trim();
match cmd {
"/help" | "/?" => help(),
"/show" | "/config" => show(&s),
"/providers" => {
for p in harness::providers() {
println!(" [{}] {:<14} {}", p.kind, p.key,
p.models.iter().map(|m| format!("{}:{}", p.key, m)).collect::<Vec<_>>().join(" "));
}
}
"/model" | "/models" => {
if arg.is_empty() {
println!(" current: {}", s.models.join(", "));
} else {
s.models = arg.split([',', ' ']).filter(|x| !x.is_empty()).map(String::from).collect();
println!(" models: {}", s.models.join(", "));
}
}
"/key" => {
// /key <PROVIDER> <KEY> → sets the provider's env var for this session
let mut kp = arg.splitn(2, char::is_whitespace);
match (kp.next(), kp.next()) {
(Some(prov), Some(key)) if !key.trim().is_empty() => {
match harness::provider_for(prov) {
Some(p) => {
std::env::set_var(p.env_key, key.trim());
s.subscription = false;
println!(" set {} (API mode)", p.env_key);
}
None => println!(" unknown provider '{prov}' (see /providers)"),
}
}
_ => println!(" usage: /key <provider> <api-key> e.g. /key anthropic sk-ant-..."),
}
}
"/sub" | "/subscription" => {
s.subscription = !matches!(arg, "off" | "false" | "0" | "no");
println!(" subscription: {}", onoff(s.subscription));
}
"/target" | "/url" => {
let t = if arg.starts_with("http") || arg.is_empty() { arg.to_string() } else { format!("https://{arg}") };
s.target = if t.is_empty() { None } else { Some(t) };
s.repo = None;
println!(" target: {}", s.target.clone().unwrap_or_else(|| "(none)".into()));
}
"/repo" => {
s.repo = if arg.is_empty() { None } else { Some(arg.to_string()) };
s.target = None;
println!(" repo: {}", s.repo.clone().unwrap_or_else(|| "(none)".into()));
}
"/auth" => {
s.auth = if arg.is_empty() { None } else { Some(arg.to_string()) };
println!(" auth: {}", s.auth.clone().unwrap_or_else(|| "(none)".into()));
}
"/focus" | "/instructions" => {
s.instructions = if arg.is_empty() { None } else { Some(arg.to_string()) };
println!(" focus: {}", s.instructions.clone().unwrap_or_else(|| "(none)".into()));
}
"/mcp" => {
s.mcp = !matches!(arg, "off" | "false" | "0" | "no");
println!(" Playwright MCP: {}", onoff(s.mcp));
}
"/votes" => { s.vote_n = arg.parse().unwrap_or(s.vote_n); println!(" votes: {}", s.vote_n); }
"/agents" => { s.max_agents = arg.parse().unwrap_or(s.max_agents); println!(" max agents: {} ", s.max_agents); }
"/clear" => { print!("\x1b[2J\x1b[H"); }
"/run" | "/go" => run(base, &s).await,
"/quit" | "/exit" | "/q" => { println!(" bye."); break; }
other => println!(" unknown command '{other}' — try /help"),
}
}
Ok(())
}
async fn run(base: &Path, s: &Session) {
let (target, whitebox) = match (&s.repo, &s.target) {
(Some(r), _) => (r.clone(), true),
(_, Some(t)) => (t.clone(), false),
_ => {
println!(" \x1b[31m✗ set a /target <url> or /repo <path> first.\x1b[0m");
return;
}
};
let mut cfg = RunConfig::new(&target);
cfg.models = s.models.clone();
cfg.subscription = s.subscription;
cfg.vote_n = s.vote_n;
cfg.max_agents = s.max_agents;
cfg.verbose = true;
cfg.instructions = s.instructions.clone();
cfg.auth = s.auth.clone();
match crate::run_engagement(base, cfg, s.mcp && !whitebox, whitebox).await {
Ok(out) => crate::print_findings(&out),
Err(e) => println!(" \x1b[31m✗ run failed: {e}\x1b[0m"),
}
}
fn show(s: &Session) {
println!(" ┌─ session");
println!(" │ models : {}", s.models.join(", "));
println!(" │ auth mode: {}", if s.subscription { "subscription (CLI login)" } else { "API key" });
println!(" │ target : {}", s.target.clone().unwrap_or_else(|| "(none)".into()));
println!(" │ repo : {}", s.repo.clone().unwrap_or_else(|| "(none)".into()));
println!(" │ auth : {}", s.auth.clone().unwrap_or_else(|| "(none)".into()));
println!(" │ focus : {}", s.instructions.clone().unwrap_or_else(|| "(none — tests everything)".into()));
println!(" │ mcp : {} votes: {} max-agents: {}", onoff(s.mcp), s.vote_n, s.max_agents);
println!(" └─ /run to launch");
}
fn help() {
println!(" Commands:");
println!(" /model a:b[,c:d] set model panel (1st primary; rest fail over + vote)");
println!(" /providers list providers & models");
println!(" /key <prov> <key> set a provider API key (switches to API mode)");
println!(" /sub on|off use local subscription login instead of API key");
println!(" /target <url> black-box target URL");
println!(" /repo <path> white-box: analyse a local repository");
println!(" /auth <value> auth to send (e.g. 'Authorization: Bearer <jwt>' or 'Cookie: s=..')");
println!(" /focus <text> steer the tests, e.g. 'injection and broken access control'");
println!(" (or just type the instruction with no slash)");
println!(" /mcp on|off enable Playwright MCP browser (subscription path)");
println!(" /votes <n> validator votes per finding");
println!(" /agents <n> cap agents (0 = all matching)");
println!(" /show show current session config");
println!(" /run launch the engagement");
println!(" /quit exit");
println!();
println!(" Example:");
println!(" /model anthropic:claude-opus-4-8");
println!(" /target http://testphp.vulnweb.com/");
println!(" find injection and broken access control");
println!(" /run");
}
fn onoff(b: bool) -> &'static str {
if b { "on" } else { "off" }
}
+1 -1
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@@ -1,4 +1,4 @@
//! NeuroSploit v3.4.1 harness — a robust multi-model runtime for the
//! NeuroSploit v3.5.0 harness — a robust multi-model runtime for the
//! markdown-driven autonomous pentest engine.
//!
//! The harness loads the `agents_md/` library, drives a *pool* of LLM models
+47 -9
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@@ -22,6 +22,22 @@ pub struct RunOutput {
const RECON_SYS: &str = "You are a web recon specialist on an AUTHORIZED engagement. You have shell tools (curl etc.) — actively fetch the target, enumerate pages/params, and map the real attack surface. Do not ask for permission; proceed. Reply with a compact JSON object (tech, endpoints, params, auth, apis). No prose.";
/// Operator directives (focus instructions + auth material) prepended to
/// recon/exploit prompts so the engagement is steered as the user asked.
fn operator_directives(cfg: &RunConfig) -> String {
let mut s = String::new();
if let Some(focus) = cfg.instructions.as_deref().filter(|x| !x.trim().is_empty()) {
s.push_str(&format!("OPERATOR FOCUS — prioritise this: {focus}\n"));
}
if let Some(auth) = cfg.auth.as_deref().filter(|x| !x.trim().is_empty()) {
s.push_str(&format!("AUTHENTICATION — test as an authenticated user; send this with each request: {auth}\n"));
}
if !s.is_empty() {
s.push('\n');
}
s
}
/// Tool-usage doctrine prepended to recon/exploit prompts so the agent knows
/// exactly what it may use. Best run on Kali Linux (or the Kali Docker image),
/// where these tools are preinstalled.
@@ -68,7 +84,7 @@ pub async fn run(cfg: RunConfig, lib: &Library, pool: &ModelPool, tx: Sender<Str
let _ = tx.send("recon: offline mode — skipping model calls".into()).await;
"{}".to_string()
} else {
let recon_user = format!("{}Target: {}", tool_doctrine(pool.mcp_config.is_some()), cfg.target);
let recon_user = format!("{}{}Target: {}", operator_directives(&cfg), tool_doctrine(pool.mcp_config.is_some()), cfg.target);
match pool.complete_routed(Task::Recon, RECON_SYS, &recon_user).await {
Ok((m, t)) => {
let _ = tx.send(format!("recon complete via {}", m.label())).await;
@@ -101,19 +117,20 @@ pub async fn run(cfg: RunConfig, lib: &Library, pool: &ModelPool, tx: Sender<Str
// Use the model to pick the agents whose preconditions match the recon —
// the harness reasons about *which* specialists to run, not all of them.
let chosen = select_agents(pool, &recon, &ranked, &tx).await;
let focus = cfg.instructions.clone().unwrap_or_default();
let chosen = select_agents(pool, &recon, &focus, &ranked, &tx).await;
let selected: Vec<Agent> = if !chosen.is_empty() {
let sel: Vec<Agent> =
ranked.iter().filter(|a| chosen.iter().any(|c| c == &a.name)).cloned().collect();
if sel.is_empty() {
heuristic_select(&ranked, &recon, cap)
heuristic_select(&ranked, &recon, &focus, cap)
} else {
sel.into_iter().take(cap).collect()
}
} else {
// LLM selection failed/empty → recon-keyword heuristic, not a blind flat list.
// LLM selection failed/empty → recon+focus keyword heuristic, not a blind flat list.
let _ = tx.send("selection empty — using recon-keyword heuristic".into()).await;
heuristic_select(&ranked, &recon, cap)
heuristic_select(&ranked, &recon, &focus, cap)
};
// Dedup: never run the same agent twice in one engagement.
let selected: Vec<Agent> = {
@@ -129,12 +146,14 @@ pub async fn run(cfg: RunConfig, lib: &Library, pool: &ModelPool, tx: Sender<Str
let target = cfg.target.clone();
let verbose = cfg.verbose;
let mcp_on = pool.mcp_config.is_some();
let directives = operator_directives(&cfg);
// Token economy: each agent gets a capped recon context, not the full blob.
let recon_ctx: String = recon.chars().take(3500).collect();
let raw: Vec<(String, String, Vec<Finding>)> = stream::iter(selected.iter().cloned())
.map(|ag| {
let target = target.clone();
let recon = recon_ctx.clone();
let directives = directives.clone();
let txc = tx.clone();
async move {
if verbose {
@@ -143,10 +162,11 @@ pub async fn run(cfg: RunConfig, lib: &Library, pool: &ModelPool, tx: Sender<Str
let user = format!(
"AUTHORIZED engagement — you have explicit permission to test {target}. \
Do not ask for confirmation — proceed and PROVE each issue.\n\n\
{react}{doctrine}{body}\n\nWhen done, reply with ONLY a JSON array of confirmed findings (may be empty []). \
{directives}{react}{doctrine}{body}\n\nWhen done, reply with ONLY a JSON array of confirmed findings (may be empty []). \
Each item: {{id,title,severity,cwe,endpoint,payload,evidence,impact,remediation,confidence}}. \
`evidence` must contain the concrete proof (request/response excerpt).",
target = target,
directives = directives,
react = REACT_DOCTRINE,
doctrine = tool_doctrine(mcp_on),
body = ag.user.replace("{target}", &target).replace("{recon_json}", &recon),
@@ -243,7 +263,7 @@ const SELECT_SYS: &str = "You are a penetration-test orchestrator. Given recon o
/// Ask the model which agents to run for this recon. Returns chosen agent names
/// (empty on failure → caller falls back to RL-ranked agents).
async fn select_agents(pool: &ModelPool, recon: &str, catalog: &[Agent], tx: &Sender<String>) -> Vec<String> {
async fn select_agents(pool: &ModelPool, recon: &str, focus: &str, catalog: &[Agent], tx: &Sender<String>) -> Vec<String> {
let list = catalog
.iter()
.map(|a| format!("{}{} [{}]", a.name, a.title.replace(" Agent", ""), a.cwe))
@@ -251,7 +271,12 @@ async fn select_agents(pool: &ModelPool, recon: &str, catalog: &[Agent], tx: &Se
.join("\n");
// Token economy: cap the recon blob fed to the selector.
let recon_trim: String = recon.chars().take(3000).collect();
let user = format!("RECON:\n{recon_trim}\n\nAGENT CATALOG (name — title [cwe]):\n{list}\n\nReturn a JSON array of agent names to run.");
let focus_line = if focus.trim().is_empty() {
String::new()
} else {
format!("OPERATOR FOCUS (strongly prioritise agents for this): {focus}\n\n")
};
let user = format!("{focus_line}RECON:\n{recon_trim}\n\nAGENT CATALOG (name — title [cwe]):\n{list}\n\nReturn a JSON array of agent names to run.");
match pool.complete_routed(Task::Select, SELECT_SYS, &user).await {
Ok((m, text)) => {
let names = parse_string_array(&text);
@@ -280,7 +305,7 @@ fn parse_string_array(text: &str) -> Vec<String> {
/// Fallback agent selection when the LLM selector fails: score each agent by
/// keyword overlap between its name/title and the recon text, always seed a
/// black-box baseline of high-yield web classes, and take the top `cap`.
fn heuristic_select(ranked: &[Agent], recon: &str, cap: usize) -> Vec<Agent> {
fn heuristic_select(ranked: &[Agent], recon: &str, focus: &str, cap: usize) -> Vec<Agent> {
const BASELINE: &[&str] = &[
"sqli_error", "sqli_blind", "sqli_union", "xss_reflected", "xss_stored", "xss_dom",
"command_injection", "lfi", "path_traversal", "ssrf", "idor", "open_redirect",
@@ -288,6 +313,7 @@ fn heuristic_select(ranked: &[Agent], recon: &str, cap: usize) -> Vec<Agent> {
"security_headers", "cors_misconfig",
];
let r = recon.to_lowercase();
let f = focus.to_lowercase();
// Recon signal → agent-name substrings. Only agents whose surface the recon
// actually identified get the signal boost; the rest rely on the baseline.
let signals: &[(&str, &[&str])] = &[
@@ -335,6 +361,18 @@ fn heuristic_select(ranked: &[Agent], recon: &str, cap: usize) -> Vec<Agent> {
score += 2;
}
}
// operator focus: strongly boost agents matching the requested classes
if !f.is_empty() {
let blob = format!("{} {}", a.name, a.title).to_lowercase();
let hit = ["inject", "sqli", "xss", "ssrf", "ssti", "rce", "command", "lfi", "rfi",
"idor", "bola", "bfla", "access", "auth", "privilege", "csrf", "redirect",
"deserial", "xxe", "traversal", "upload", "jwt", "secret", "crypto"]
.iter()
.any(|kw| f.contains(kw) && blob.contains(kw));
if hit {
score += 10;
}
}
(score, a)
})
.collect();
+3 -3
View File
@@ -79,9 +79,9 @@ pub fn html(target: &str, findings: &[Finding]) -> String {
h4{{margin:12px 0 3px;font-size:12px;text-transform:uppercase;letter-spacing:.5px;color:#8b5cf6}}\
.b{{color:#8b5cf6;font-weight:800}}</style></head><body>\
<h1><span class=b>NeuroSploit</span> Penetration Test Report</h1>\
<div class=meta>Target: <b>{t}</b> · v3.4.1 Rust harness · multi-model validated</div>\
<div class=meta>Target: <b>{t}</b> · v3.5.0 Rust harness · multi-model validated</div>\
<div>{chips}</div><h2>Findings ({n})</h2>{body}\
<p class=meta>Authorized testing only. Findings confirmed by multi-model adversarial voting.<br>NeuroSploit v3.4.1 · by <b>Joas A Santos</b> &amp; <b>Red Team Leaders</b></p></body></html>",
<p class=meta>Authorized testing only. Findings confirmed by multi-model adversarial voting.<br>NeuroSploit v3.5.0 · by <b>Joas A Santos</b> &amp; <b>Red Team Leaders</b></p></body></html>",
t = esc(target), chips = chips, n = sorted.len(), body = body,
)
}
@@ -117,7 +117,7 @@ pub fn typst_report(target: &str, findings: &[Finding], dir: &Path) -> std::io::
let mut data = String::new();
data.push_str(&format!(
"#let meta = (target: {}, run_id: {}, generated: {}, model: {})\n",
tq(target), tq(&run_id), tq("NeuroSploit v3.4.1"), tq("multi-model")
tq(target), tq(&run_id), tq("NeuroSploit v3.5.0"), tq("multi-model")
));
data.push_str("#let findings = (\n");
for f in sorted_findings(findings) {
@@ -83,6 +83,14 @@ pub struct RunConfig {
/// Verbose: log each agent as it launches, recon snippet, and votes.
#[serde(default)]
pub verbose: bool,
/// Free-text instructions from the operator that steer agent selection and
/// execution (e.g. "focus on injection and broken access control").
#[serde(default)]
pub instructions: Option<String>,
/// Authentication material to use against the target so agents test as an
/// authenticated user (e.g. "Authorization: Bearer <jwt>" or "Cookie: session=...").
#[serde(default)]
pub auth: Option<String>,
}
fn default_vote() -> usize {
@@ -105,6 +113,8 @@ impl RunConfig {
workdir: None,
rl_path: None,
verbose: false,
instructions: None,
auth: None,
}
}
}
+2 -2
View File
@@ -1,4 +1,4 @@
// NeuroSploit v3.4.1 — Typst report template (blank, structured).
// NeuroSploit v3.5.0 — Typst report template (blank, structured).
//
// The harness generates `report.typ` per run by prepending a `findings` array
// and a `meta` dict, then including this template's rendering logic. This file
@@ -24,7 +24,7 @@
#set page(margin: 2cm, numbering: "1", footer: context [
#set text(size: 8pt, fill: gray)
NeuroSploit v3.4.1 · #meta.target · confidential
NeuroSploit v3.5.0 · #meta.target · confidential
#h(1fr) #counter(page).display()
])
#set text(font: ("Helvetica Neue", "Helvetica", "Arial"), size: 10pt)