v3.5.5 — cloud infrastructure testing + REPL polish

Cloud testing:
- +17 cloud agents (agents_md/infra/) for AWS/GCP/Azure: IAM/RBAC privesc,
  storage exposure (S3/GCS/Blob), compute & network exposure + IMDS, secrets
  (Secrets Manager / Secret Manager / Key Vault), SA/SP key abuse, Entra ID
  enum, and a multi-cloud footprint/identity recon agent. Library 348 -> 365.
- creds.yaml gains aws:/gcp:/azure: blocks (Creds::cloud). The harness exports
  provider env vars (AWS_*, GOOGLE_APPLICATION_CREDENTIALS, AZURE_* SP) so
  aws/gcloud/az authenticate automatically, and injects a cloud directive. GCP
  inline JSON is written to a temp file. Best-practice auth per provider.

REPL polish:
- /chain <n> (attack-chain depth, wired to Session.chain_depth), /agents list
  (library category counts incl. infra/cloud); /show now shows chain-depth and
  enabled integrations. Tab-completion + help updated.

Docs: README badges (365 agents / 14 providers), new "Cloud credentials" section;
RELEASE notes. Version 3.5.4 -> 3.5.5.
This commit is contained in:
CyberSecurityUP committed 2026-07-01 22:38:27 -03:00
1 parent e5c607f467
commit 2e25809a93
34 files changed
+1123 -38

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@@ -1,4 +1,4 @@
//! NeuroSploit v3.5.4 — interactive harness + CLI (`run` / `whitebox` / `agents` / `models`).
//! NeuroSploit v3.5.5 — 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 v3.5.4 — multi-model autonomous pentest harness",
long_about = "NeuroSploit v3.5.4 — a Rust multi-model harness that drives a pool of LLMs \
about = "NeuroSploit v3.5.5 — multi-model autonomous pentest harness",
long_about = "NeuroSploit v3.5.5 — 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\
@@ -474,6 +474,24 @@ pub(crate) async fn apply_creds(cfg: &mut RunConfig, path: Option<&str>) {
cfg.instructions = Some(format!("{hi}\n{base}"));
println!(" [*] host credentials loaded (SSH/Windows-AD)");
}
// Cloud credentials (AWS / GCP / Azure) → export env for the provider CLIs
// and tell the agents how to authenticate & what to enumerate.
let cloud_env = c.cloud_env();
if !cloud_env.is_empty() {
for (k, v) in &cloud_env {
std::env::set_var(k, v);
}
let names: Vec<&str> = [
(!c.cloud.as_ref().map(|x| x.aws_access_key_id.is_empty() && x.aws_profile.is_empty()).unwrap_or(true), "AWS"),
(!c.cloud.as_ref().map(|x| x.gcp_sa_json.is_empty()).unwrap_or(true), "GCP"),
(!c.cloud.as_ref().map(|x| x.azure_client_id.is_empty()).unwrap_or(true), "Azure"),
].iter().filter(|(on, _)| *on).map(|(_, n)| *n).collect();
println!(" [*] cloud credentials loaded ({}) — {} env var(s) exported", names.join("/"), cloud_env.len());
if let Some(ci) = c.cloud_instruction() {
let base = cfg.instructions.clone().unwrap_or_default();
cfg.instructions = Some(format!("{ci}\n{base}"));
}
}
// No direct material but a login flow → perform it now.
if cfg.auth.is_none() {
if let Some(login) = &c.login {
@@ -534,7 +552,7 @@ pub(crate) fn spawn_engagement(base: &Path, mut cfg: RunConfig, mcp: bool, mode:
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 v3.5.4 · by Joas A Santos & Red Team Leaders");
println!(" ┌─ NeuroSploit v3.5.5 · by Joas A Santos & Red Team Leaders");
println!(" │ run id : {run_id}");
println!(" │ target : {}", cfg.target);
println!(" │ models : {}", cfg.models.join(", "));