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v3.6.1 — add GPT-5.6 models (sol / terra / luna)

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Added the OpenAI GPT-5.6 line to the provider pool: gpt-5.6-sol (frontier/default),
gpt-5.6-terra (balanced), gpt-5.6-luna (fast/affordable). Version 3.6.0 -> 3.6.1.
This commit is contained in:
CyberSecurityUP
2026-07-10 16:27:28 -03:00
parent d414dcb1f1
commit 54bf424c1d
17 changed files with 48 additions and 28 deletions
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neurosploit-rs/Cargo.lock
Generated
+2 -2
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@@ -871,7 +871,7 @@ dependencies = [
[[package]]
name = "neurosploit"
version = "3.6.0"
version = "3.6.1"
dependencies = [
"anyhow",
"clap",
@@ -888,7 +888,7 @@ dependencies = [
[[package]]
name = "neurosploit-harness"
version = "3.6.0"
version = "3.6.1"
dependencies = [
"anyhow",
"futures",
neurosploit-rs/Cargo.toml
+1 -1
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@@ -3,7 +3,7 @@ members = ["crates/harness", "app"]
resolver = "2"
[workspace.package]
version = "3.6.0"
version = "3.6.1"
edition = "2021"
license = "MIT"
repository = "https://github.com/JoasASantos/NeuroSploit"
neurosploit-rs/app/src/main.rs
+4 -4
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@@ -1,4 +1,4 @@
//! NeuroSploit v3.6.0 — interactive harness + CLI (`run` / `whitebox` / `agents` / `models`).
//! NeuroSploit v3.6.1 — 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 v3.6.0 — multi-model autonomous pentest harness",
long_about = "NeuroSploit v3.6.0 — a Rust multi-model harness that drives a pool of LLMs \
about = "NeuroSploit v3.6.1 — multi-model autonomous pentest harness",
long_about = "NeuroSploit v3.6.1 — 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\
@@ -721,7 +721,7 @@ 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 v3.6.0 · by Joas A Santos & Red Team Leaders");
println!(" ┌─ NeuroSploit v3.6.1 · by Joas A Santos & Red Team Leaders");
println!(" │ run id : {run_id}");
println!(" │ target : {}", cfg.target);
println!(" │ models : {}", cfg.models.join(", "));
neurosploit-rs/app/src/repl.rs
+2 -2
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@@ -1,4 +1,4 @@
//! NeuroSploit v3.6.0 — interactive session (Claude-Code / Codex / Cursor-CLI style).
//! NeuroSploit v3.6.1 — interactive session (Claude-Code / Codex / Cursor-CLI style).
//!
//! Launched when `neurosploit` runs with no subcommand. A persistent REPL with
//! real line editing (arrow-key history recall, Ctrl-A/E/K, paste), model
@@ -334,7 +334,7 @@ pub async fn repl(base: &Path) -> anyhow::Result<()> {
let backends = harness::installed_cli_backends();
println!("\x1b[1m");
println!(" ███╗ ██╗███████╗██╗ ██╗██████╗ ██████╗");
println!(" ████╗ ██║██╔════╝██║ ██║██╔══██╗██╔═══██╗ NeuroSploit v3.6.0");
println!(" ████╗ ██║██╔════╝██║ ██║██╔══██╗██╔═══██╗ NeuroSploit v3.6.1");
println!(" ██╔██╗ ██║█████╗ ██║ ██║██████╔╝██║ ██║ interactive harness");
println!(" ██║╚██╗██║██╔══╝ ██║ ██║██╔══██╗██║ ██║ by Joas A Santos");
println!(" ██║ ╚████║███████╗╚██████╔╝██║ ██║╚██████╔╝ & Red Team Leaders");
neurosploit-rs/app/src/tui.rs
+1 -1
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@@ -1,4 +1,4 @@
//! NeuroSploit v3.6.0 — TUI "Mission Control" mode.
//! NeuroSploit v3.6.1 — TUI "Mission Control" mode.
//!
//! Concurrent panels that update live while the engagement runs in the
//! background, with a composer input that stays active during execution:
neurosploit-rs/crates/harness/src/belief.rs
+1 -1
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@@ -1,4 +1,4 @@
//! POMDP belief-state world model (v3.6.0).
//! POMDP belief-state world model (v3.6.1).
//!
//! The target is only partially observable, so we don't track booleans — we
//! track a **belief**: a property graph whose nodes (host / service / vuln /
neurosploit-rs/crates/harness/src/grounding.rs
+1 -1
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@@ -1,4 +1,4 @@
//! Verification / grounding engine (v3.6.0).
//! Verification / grounding engine (v3.6.1).
//!
//! Hard rule: **no claim enters the world model without a tool receipt** — raw
//! tool output, not the LLM's paraphrase. This is the empirical anti-hallucination
neurosploit-rs/crates/harness/src/lib.rs
+1 -1
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@@ -1,4 +1,4 @@
//! NeuroSploit v3.6.0 harness — a robust multi-model runtime for the
//! NeuroSploit v3.6.1 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
neurosploit-rs/crates/harness/src/models.rs
+1 -1
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@@ -25,7 +25,7 @@ pub fn providers() -> Vec<Provider> {
Provider { key: "anthropic", label: "Anthropic Claude", base_url: "https://api.anthropic.com/v1", env_key: "ANTHROPIC_API_KEY", kind: "cli",
models: vec!["claude-opus-4-8", "claude-sonnet-5", "claude-sonnet-4-6", "claude-haiku-4-5"] },
Provider { key: "openai", label: "OpenAI (ChatGPT)", base_url: "https://api.openai.com/v1", env_key: "OPENAI_API_KEY", kind: "cli",
models: vec!["gpt-5.5", "gpt-5.4", "gpt-5.4-mini", "gpt-5.3-codex", "gpt-5.2", "gpt-5.1", "gpt-5.1-codex", "o4"] },
models: vec!["gpt-5.6-sol", "gpt-5.6-terra", "gpt-5.6-luna", "gpt-5.5", "gpt-5.4", "gpt-5.4-mini", "gpt-5.3-codex", "gpt-5.2", "gpt-5.1", "gpt-5.1-codex", "o4"] },
Provider { key: "xai", label: "xAI Grok", base_url: "https://api.x.ai/v1", env_key: "XAI_API_KEY", kind: "cli",
models: vec!["grok-4.5", "grok-4", "grok-4-fast"] },
Provider { key: "gemini", label: "Google Gemini", base_url: "https://generativelanguage.googleapis.com/v1beta/openai", env_key: "GEMINI_API_KEY", kind: "cli",
neurosploit-rs/crates/harness/src/pomdp.rs
+1 -1
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@@ -1,4 +1,4 @@
//! POMDP decision layer (v3.6.0): value-of-information planning + the
//! POMDP decision layer (v3.6.1): value-of-information planning + the
//! anti-hallucination gate.
//!
//! The choice "scan more vs exploit now" is **not** a heuristic here — it falls
neurosploit-rs/crates/harness/src/probe.rs
+1 -1
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@@ -1,4 +1,4 @@
//! Deterministic HTTP request/response analysis (v3.6.0).
//! Deterministic HTTP request/response analysis (v3.6.1).
//!
//! Before the LLM recon runs, the harness performs a **real** probe of the
//! target and captures observed facts — status, headers, security headers,
neurosploit-rs/crates/harness/src/report.rs
+3 -3
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@@ -97,9 +97,9 @@ 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> · v3.6.0 Rust harness · multi-model validated</div>\
<div class=meta>Target: <b>{t}</b> · v3.6.1 Rust harness · multi-model validated</div>\
<div>{chips}</div>{graph_block}<h2>Findings ({n})</h2>{body}\
<p class=meta>Authorized testing only. Findings confirmed by multi-model adversarial voting.<br>NeuroSploit v3.6.0 · 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 v3.6.1 · 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, graph_block = graph_block,
)
}
@@ -135,7 +135,7 @@ 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 v3.6.0"), tq("multi-model")
tq(target), tq(&run_id), tq("NeuroSploit v3.6.1"), tq("multi-model")
));
data.push_str("#let findings = (\n");
for f in sorted_findings(findings) {