v3.5.4 — Robust attack chaining & false-positive reduction

Bundles the multi-round post-exploitation attack-chaining engine (attack_chain:
per-foothold decisions, loot carried forward, validate-before-pivot, loop-until-
dry, --chain-depth) and the false-positive controls (robust verdict parsing,
severity-aware quorum, adversarial refute pass, stronger validator prompt).
Version bumped 3.5.3 -> 3.5.4; README/RELEASE updated.

neurosploit-rs/app/src/main.rs

@@ -1,4 +1,4 @@
-//! NeuroSploit v3.5.3 — interactive harness + CLI (`run` / `whitebox` / `agents` / `models`).
+//! NeuroSploit v3.5.4 — 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 v3.5.3 — multi-model autonomous pentest harness",
-    long_about = "NeuroSploit v3.5.3 — a Rust multi-model harness that drives a pool of LLMs \
+    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 \
 (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\
@@ -534,7 +534,7 @@ 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 v3.5.3  ·  by Joas A Santos & Red Team Leaders");
+    println!("  ┌─ NeuroSploit v3.5.4  ·  by Joas A Santos & Red Team Leaders");
     println!("  │  run id : {run_id}");
     println!("  │  target : {}", cfg.target);
     println!("  │  models : {}", cfg.models.join(", "));