Version bump 3.6.5 -> 3.6.6.
Local & uncensored models
- New `llamacpp:` provider (llama-server, OpenAI-compatible, localhost:8080,
no API key, CPU-only or GPU-offloaded). Override via LLAMACPP_BASE_URL;
model name is the loaded gguf (pass-through). 15 -> 16 providers.
- README: local/uncensored highlight, provider table + key-less note, badges.
Quality
- clippy clean under `-D warnings`: clamp(), sort_by_key(Reverse), struct-literal
init, too_many_arguments allows, scoped await_holding_lock on the REPL blocking
fallback (guard intentionally held across run().await), plus clippy --fix set.
CI
- examples/github-actions/ci.yml: cargo build/test/clippy -D warnings for the
neurosploit-rs workspace (template, kept out of .github/workflows).
Claude-Session: https://claude.ai/code/session_01QDses7zTSa9YF7pPRjphvh
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
GitHub automation
- integrations: github_set_status (commit status), github_pr_review
(REQUEST_CHANGES/APPROVE), github_pr_head_sha, and a shared severity
gate (severity_rank / worst_confirmed_rank / gate_trips — confirmed
findings only).
- `neurosploit pr --fail-on <critical|high|medium|low>`: on a confirmed
finding at/above the threshold, sets a failing `neurosploit/security`
commit status, posts a REQUEST_CHANGES review, and exits 2 so a CI
check fails — branch protection then blocks the merge.
- Two ready GitHub Actions: neurosploit-pr-gate.yml (review + block every
PR) and neurosploit-mention.yml (writers comment @neurosploit <text> to
trigger a scan; any language; URL → black-box, else PR review).
Natural-language REPL
- Intent now also parses spoken toggles/knobs across PT/EN/ES: Burp/proxy,
browser/MCP, subscription, "N votos/votes", recon depth (number or
quick/deep/exhaustive), plus stop verbs. handle_nl returns the follow-up
command (/run or /stop).
Docs: README trimmed to features (version changelog stays in RELEASE.md),
new automations documented in README + TUTORIAL-INTEGRATION.
Tests: gate (3), NL toggles/stop (added). All green.
Claude-Session: https://claude.ai/code/session_018BGLy4j5qsqqid6CoovowC
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
- New agent account_registration_and_forms (+1 → 430): analyzes the app's forms
and self-registers a benign test account (curl or Playwright) to reach the
authenticated surface when no creds are given.
- Probe extracts form details (action/method/fields/kind/CSRF) so form analysis is
grounded; shown in the probe summary and recon JSON.
- Hard anti-flood guardrail in SAFETY_DOCTRINE + the agent: at most 2 accounts per
engagement, never loop/script/batch the register endpoint or flood the DB; reuse
the account made; a test needing many sign-ups is a lead, not mass-creation.
- Credential vault: engagement_ops directive tells agents to append created
accounts to <run-dir>/vault.jsonl; finish() consolidates to vault.json, masks
secrets in the report, and adds a 'Test accounts created (DELETE after)' cleanup
finding listing each account and how it was created.
- Finding tagging: new auth_context (authenticated/unauthenticated) and account
fields, rendered per-finding in the HTML report.
- Opt-in disposable email (off by default): /tempmail on + RunConfig.temp_email;
agents may use the free mail.tm API to read a registration confirmation code.
- Tests: parse_forms unit tests; docs updated (README/TUTORIAL/RELEASE), counts 430.
- Add 12 technique/scenario LLM red-team agents (AI category 18 → 30, total 429):
jailbreaks — AdvPrefix, PAIR, TAP, Crescendo, many-shot, persona/DAN,
encoding/obfuscation, refusal-suppression; prompt-injection scenarios — direct,
indirect (RAG/web/email/tool output), goal hijacking, tool/function-call abuse,
system-prompt/secret exfiltration. Each runs an attacker→LLM-judge loop
(baseline refusal → technique across variants → verdict), proving the bypass
with a benign, redacted receipt. Generated by scripts/build_llm_redteam_v365.py.
- Add REDTEAM_DOCTRINE and inject it into run_ai so every AI test follows the
baseline→technique→judge method across scenarios.
- Models: add Claude Opus 5 and Sonnet 5 (Anthropic) and a new Moonshot AI (Kimi)
provider with Kimi K3/K2 (moonshot:kimi-k3, MOONSHOT_API_KEY) — 15 providers.
- Docs: README/TUTORIAL/RELEASE — new AI/LLM red-team engagement mode + section,
model/env-key tables, agent-library counts (429), badges.
Also includes the v3.6.4 grounding fix (#33) landing on main.
The grounding gate ran in empirical mode for every engagement, demoting
white-box (and skills/n8n audit) findings that had passed the n-model vote
because a file:line code citation isn't raw tool output. Grounding is now
mode-aware:
- Symbolic (white-box SAST / skills): a file:line reference into the reviewed
source, or a quote of code present in it, is the receipt — no live target.
- Empirical (black-box / host / AI): evidence must resemble tool output (as before).
- Either (grey-box): a source citation OR a tool receipt grounds a finding.
The symbolic check runs against the reviewed source corpus (not the transcript)
and falls back to a structural file:line + quote check when the corpus is
unavailable. Adds unit tests incl. a regression test for #33.
- /continue (and /resume) now relaunch a recovered interrupted run on the same
target, carrying its findings forward and steering agents to widen coverage /
chain from them instead of re-reporting. Offer shown at launch; a fresh /run
supersedes it. Findings merge (dedup by title+endpoint) across both runs.
- Opening /results, /finding or /report while a run streams no longer corrupts
the terminal: live background output is paused for the picker (still captured
in /logs) and restored on exit, so Ctrl-C in a picker can't take the process
down mid-run.
- Drive `codex exec --json` and parse its JSONL event stream into the same
categorized live feed as Claude Code (exec/edit/tool/net/tokens), so recon and
exploitation are visible as each command runs instead of a silent black box.
- Fix the activity feed to keep per-agent tool events (commands, network, files,
findings) and only filter model reasoning + token telemetry, so /logs shows the
real command trail and /status 'last:' is a true sign-of-life.
- Surface failed internal commands as 'exec: (exit N)'; keep Codex auth/rate
detection from stderr.
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.
- DECISION_DOCTRINE injected into exploit/grey/chain prompts: analyse responses to
pick the technique; map & connect routes (endpoint output → next endpoint input);
hunt sensitive flows; mine parameters (incl. hidden from JS/source maps) and test
per-param; mock realistic (non-PII) data to reach deeper logic; exploit the
authenticated surface after login and compare roles; build PoCs when a proof
needs an artifact; bypass 401/403/redirect controls.
- REPL /auth now supports multiple named identities (/auth admin <hdr>, /auth user
<hdr>; bare token → Bearer). With >=2 roles the run gets the access-control
directive (IDOR/BOLA/BFLA/privesc, authorized-vs-unauthorized) and tests both.
- +6 decision agents (library 389): param_miner, endpoint_flow_linker,
authenticated_surface_exploit, clickjacking_poc (HTML PoC), csrf_poc (HTML PoC),
access_control_bypass.
- Docs: counts 383->389, RELEASE + /auth help updated.
- tool_doctrine: agents now actively DRIVE the browser on JS/SPA targets — use
the Playwright MCP (render, read live DOM, click client-side routes, watch the
network to find the real API, screenshot proof); when no MCP, use the Playwright
CLI (write+run a small script / npx playwright screenshot) to render and capture
XHR/fetch traffic — complementing curl (which only sees the empty shell).
- probe: detect SPAs (<app-root>, ng-version, near-empty body + linked scripts →
Angular/React/Vue/SPA) and note in recon that the browser is required, so the
SPA agents get selected.
- +8 SPA/API agents (library 383): spa_api_discovery, spa_hidden_admin,
login_sqli_bypass, dom_xss_spa, api_bola_numeric_ids,
register_privilege_mass_assign, jwt_forgery_spa, spa_business_logic.
- Docs: README/RELEASE/TUTORIAL counts + notes.
New harness::probe runs a real request/response analysis of the target BEFORE
the model recon and injects the observed facts into recon, so agent-selection
and exploitation decisions are grounded in evidence (robust even when model
recon is weak):
- status & redirect, Server/X-Powered-By/content-type, 6 security headers,
cookie flags (HttpOnly/Secure/SameSite), CORS reflection test (arbitrary
Origin + credentials), tech fingerprint, linked scripts, form count, a 404
baseline for soft-404 differentials, and high-signal paths (/robots.txt,
/.git/config, /.env, /sitemap.xml, /.well-known/security.txt).
- Best-effort (never fatal — degrades to a note on network failure), honors the
identifying User-Agent and the Burp/ZAP proxy. Wired into black-box run() and
greybox recon. A one-line probe summary streams to the live feed.
Attribution (anti-plagiarism), multiple layers:
- Identifying User-Agent on every request (default NeuroSploit/<ver> + an
X-NeuroSploit-Scan header), overridable via /ua or NEUROSPLOIT_UA env; shown
in the run banner. RunConfig.user_agent + Session.user_agent wired through.
- Every finding is stamped "Identified and validated by NeuroSploit …" (in
finish() and the raw-report path) so provenance travels in the finding text,
findings.json and the report.
Multi-role authentication for access-control testing (IDOR/BOLA/BFLA/privesc):
- creds.yaml gains named identity blocks (admin:/user:/victim:/…), each with
jwt | header | cookie | apikey | login+username+password. With >=2 roles the
harness injects a cross-role access-control directive (authorized-vs-unauthorized
proof) and defaults the primary auth to the first role.
Also: /help now lists one command per line (fixes smushed OPTIONS/RUN columns);
/ua command + Session field; docs (README + RELEASE) updated.
New harness module `integrations` (+ app commands) wiring NeuroSploit into the
SDLC. Config persists per-project to .neurosploit/integrations.json; secrets are
NEVER stored — only the env-var name is saved, values read from the environment.
GitHub:
- private-repo clone (token injected into the clone URL for whitebox/greybox/tui)
- `neurosploit pr <owner/repo> <n>`: clone the PR head (refs/pull/N/head),
white-box review, optional `--comment` (PR summary) and `--jira` (cards)
- `neurosploit watch <owner/repo> --branch --interval`: re-review on each new commit
GitLab:
- private-repo clone (oauth2 token) for whitebox/greybox (gitlab.com or self-hosted)
Jira:
- `--jira` on any engagement opens one card per finding (REST /issue, basic auth)
Control:
- `/integrations` (REPL): show · enable/disable · setup jira|gitlab|github
- `neurosploit integrations [show|enable|disable] [github|gitlab|jira]` (CLI)
Docs: README "Integrations" section + new TUTORIAL-INTEGRATION.md (per-tool setup,
scopes, recipes, troubleshooting). Version bumped 3.5.2 → 3.5.3.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Distilled from reviewing real AI-pentest output that kept stopping at "exposed"
instead of "exploited". Pure-additive, back-compatible.
Behavior (injected into black/grey/chain exploit prompts via DEPTH_DOCTRINE):
- Exposed → exploited: any info-disclosure / exposed service/WSDL / leaked
credential|token / reachable dev host MUST be used before it's a finding;
otherwise it's a lead, not a confirmed High/Critical.
- Chain across modules: reuse obtained session/JWT/cookie/credential and pivot
to IDOR/privesc/exfil; report the chain, not isolated parts.
- Decode & fingerprint → CVE; audit tokens (alg-confusion/none/kid/JWKS, weak
HS256 secret cracking, lifecycle).
Deterministic post-pass (new crates/harness/src/hygiene.rs, wired into finish()):
- calibrate severity to PROVEN impact — unproven High/Critical (hedged, no
payload, thin evidence) capped to Medium and re-titled "(potential)";
- depth_audit — flag exposures on a host with no real exploit;
- hygiene_summary — advise consolidating hygiene classes repeated across assets.
Unit tests cover calibration + depth audit.
5 new doctrine meta-agents (scripts/build_methodology_v352.py → agents_md/meta/):
exploit_depth_doctrine, finding_chainer, artifact_decoder, token_auditor,
report_calibrator (meta 17→22, total 343→348).
Version bumped 3.5.1 → 3.5.2 across crates/app/installers/docs; RELEASE/README
updated.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Partial observability is now first-class:
- belief.rs — property-graph world model; nodes (host/service/vuln/exploit/cred)
carry a probability, not a boolean. Bayesian observation updates; per-node
Shannon entropy; mean-uncertainty + recon-frontier. Black-box = diffuse priors
that sharpen with observation; white-box collapses toward deterministic (MDP).
- pomdp.rs — value_of_information(), decide() (recon vs exploit falls out of
belief entropy), and may_assert() — the mathematical anti-hallucination gate:
no exploitability claim while the belief is diffuse (high entropy) → observe first.
- grounding.rs — verification engine, hard rule "no claim without a tool receipt":
empirical grounding for black-box (raw HTTP/OOB/error markers), symbolic for
white-box (file:line into reviewed source). Ungrounded claims demoted + flagged
receipt_missing (feeds future reward shaping).
- pipeline.finish(): grounding gate before reporting + belief-uncertainty readout.
- bump 3.5.0 → 3.5.1; README documents the v3.5.1 belief/grounding architecture
and the infra/bandit/reward roadmap.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
REPL (rustyline Helper):
- Tab autocomplete for /commands and @filesystem-paths.
- @path attach: @file, @folder, @file:LINE / @file:START-END fold scope files /
stack traces into the agent context; /attach <path> and /context to manage.
- Multiline input: end a line with `\` to continue (validator-driven).
- /theme color|mono, /config (=/show); history (↑/↓) persists as before.
- Attachments are merged into the run's instruction context.
Install:
- setup.sh: `curl … | bash` — auto-installs Rust, clones to ~/.neurosploit,
builds release, links neurosploit into ~/.local/bin; idempotent; env-tunable.
README: v3.5.0, 🧠 (back to "neuro"), one-line install section, neurosploit-on-PATH usage.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Task-based model ROUTER (recon/select prefer a fast model; exploit prefers primary; validate uses a different model than the finder)
- ReAct doctrine injected into exploit prompts (Thought→Action→Observation, token-efficient)
- Dedup: unique agents per run + findings deduped by CWE/endpoint/title (highest confidence kept)
- Token economy: recon blob capped for selector + per-agent context
- Configurable MCP: merge user mcp.servers.json into the pipeline's .mcp.json
- +54 white-box/code-analysis agents (NoSQLi, LDAP/XPath, JWT-none, Java/.NET/PHP/Go/Node/Python
specifics, SSTI, ReDoS, deserialization, etc.) → 303 agents total (78 code)
- Credits: Joas A Santos & Red Team Leaders (CLI banner, interactive header, HTML+Typst report)
- README: GitHub stars/forks badges, 60-second quick start, full API config steps, intuitive layout
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Keep only the Rust harness (neurosploit-rs/) + the agent library (agents_md/) it
loads at runtime, plus docs. Remove the Python engine, web GUIs, legacy stack,
docker, build scripts and scratch test files from THIS branch only (other
branches keep everything). Rust-focused README with Kali/Docker + tool-install
guidance and testphp/DVWA usage examples.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Zero-dependency (stdlib http.server) front-end exposing only the essential
options — URL, backend, model, collaborator, RL + Playwright-MCP toggles — with
a live progress console. Calls neurosploit_agent directly; no npm/build.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
