- models.rs: detect connection-refused and timeout on local providers
(ollama/litellm/llamacpp), show actionable error instead of raw reqwest
- pipeline.rs: findings with empty evidence skip adversarial vote (which
always rejects per 'default to rejected' prompt) and go straight to
needs-review for human triage
- pipeline.rs: warn when single-model panel + vote_n=1 (same model
validates its own findings = weaker validation)
- Bump version 3.6.7 → 3.6.8
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_011739wMqPJJPttTLLX6YoQH
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>
* feat: embed proof screenshots in reports, correlated to findings
Define a convention that ties each proof image to its vulnerability and
renders it in every report format.
- Finding gains `screenshots: Vec<String>` (paths relative to the run
workdir, e.g. evidence/<finding-id>-1.png).
- Exploit prompt injects an EVIDENCE SCREENSHOTS doctrine: agents save
proof PNGs into the run's absolute evidence/ dir named by a vuln slug,
and list them in the finding JSON `screenshots` array.
- collect_evidence() resolves whatever the agent captured (absolute,
workdir-relative, evidence/, /tmp basename), copies it to a stable
evidence/<finding-id>-N.png, and rewrites the field; unresolved refs
are dropped so a report never embeds a missing image.
- Typst (image()), HTML (<img>) and Markdown (![]) render each finding's
screenshots beside its evidence.
Tests: slugify + collect_evidence resolution/rename; verified a real PDF
compiles with an embedded image.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018BGLy4j5qsqqid6CoovowC
* feat: source-able env.sh to activate neurosploit in the current shell
Add env.sh: `source` it to export NEUROSPLOIT (binary path),
NEUROSPLOIT_BASE (agents base) and prepend the binary dir to PATH —
no reinstall or new terminal needed. Auto-detects the install/repo dir,
honors NEUROSPLOIT_DIR, idempotent. setup.sh now writes a ready env.sh
into the install dir and points users at `source <dir>/env.sh`.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_018BGLy4j5qsqqid6CoovowC
---------
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
Add two operator inputs that give agents more test context, both
funneled through operator_directives() so they reach every recon/
exploit prompt (web, host, ai, skills):
- objective: WHY the test runs and WHAT counts as impact — rendered
as high-priority ENGAGEMENT OBJECTIVE context.
- out_of_scope: hosts/paths/techniques to exclude — rendered as a
HARD CONSTRAINT the agents must skip and never report against.
REPL: /objective and /scope-out commands (accumulating), optional
onboarding prompts, /show + /help + Tab-complete, session.json
persistence (serde default for back-compat).
CLI: neurosploit run --objective --out-of-scope.
Version unchanged (3.6.5).
Claude-Session: https://claude.ai/code/session_018BGLy4j5qsqqid6CoovowC
Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
- Preflight: abort a run early with '✗ target unreachable … is DOWN' when the
probe gets no HTTP response, instead of running agents against a dead host;
print '✓ target is UP' otherwise.
- When no --auth/creds are set on a web run, force account_registration_and_forms
to run first so the authenticated surface is always attempted and visible.
- Move the credential vault to <cwd>/.neurosploit/vault/<run-id>.json (persistent
project store) via new RunConfig.vault_dir; header now prints the vault path at
launch. engagement_ops + finish() resolve paths through vault_paths().
- 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.
A missing or un-downloadable recon tool must never block the run. Both the recon
intensity directive and the general tool doctrine now instruct agents to:
- wrap every install in `timeout 90 <install> || echo skip` and run non-interactively
- try each tool install at most once; on failure/no-package/no-network/hang, skip
immediately and fall back to an installed alternative or curl/nc/dig/python3
- never wait on, retry, or block the whole recon for a single tool download
- 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.
`codex exec` in --dangerously-bypass-approvals-and-sandbox mode exits non-zero
when a tool/command it ran internally (curl/nmap/etc.) returned non-zero — even
though it produced a valid final answer. chat_cli treated any non-zero exit as a
hard failure and dropped the output ("recon round 1 failed ... exit 1"). Now, on
non-zero exit WITH usable stdout and no auth/rate/quota keyword, we use the
output; only genuine auth/rate/quota errors (or empty output) fail hard.
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.
Recon was a single quick model pass — now it's deep and iterative:
- deep_recon(): an initial deep enumeration pass then follow-up EXPANSION rounds
that chase discovered subdomains/hosts/endpoints/params, converging when a
round finds nothing new. Rounds scale with intensity.
- recon_intensity_directive(): tells the agent HOW hard to recon and to INSTALL
the tools it needs (apt/pip/go/npm/cargo) — subfinder/amass/httpx/gau/katana/
gf/arjun/ffuf/nuclei/nmap/dnsx/linkfinder/whatweb/nikto/testssl — chained
(subfinder->httpx->katana/gau->gf->ffuf); covers subdomains, crawl+wayback, JS,
content/param discovery, ports, versions, API, exposures, TLS/headers.
- RunConfig.recon_intensity (default 3) + REPL /recon <1-4> + CLI --recon <1-4>
(1 quick .. 4 exhaustive); shown in /show.
- 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.
- /results (interactive, no arg) now ALWAYS opens the run/test picker (target →
vuln → detail, Esc back) instead of jumping straight to the current run's vulns.
The live run (if any) appears at the top, past runs newest-first — so you can
browse every test, not only the active one.
- /validate [n]: re-run false-positive validation (N-model voting + adversarial
refute) on a recovered/past run's findings WITHOUT re-testing the target, then
rewrite that run's findings + report. Backed by new harness::pipeline::revalidate.
Use this after a crash/quit recovered raw findings into /runs.
- Ctrl-C at the prompt now CONFIRMS instead of silently cancelling: with a live
run it offers [s]top&validate / [q]uit(keep findings) / keep-running; otherwise
asks "exit? [y/N]" — so a stray Ctrl-C can't lose a running test.
- 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.
Why runs came back empty / "MCP didn't execute":
- Not logged in: a subscription CLI that isn't authenticated returns empty
instantly (the Juice Shop symptom — every agent 0 candidates, no tool activity).
Added models::cli_login_status + subscription_preflight(): before a run we check
the primary provider's CLI is installed AND logged in and warn clearly if not
(CLI run_mode + REPL start_background).
- Missing browser: ensure_playwright_mcp now also runs `npx playwright install
chromium` (best-effort; NEUROSPLOIT_SKIP_BROWSER_INSTALL=1 to skip) so the first
browser action doesn't fail/hang.
- Codex MCP was mis-wired (`--config mcp_config_file=` is not a codex key). Now
injects our .mcp.json servers via `-c mcp_servers.<name>.command/.args` TOML
overrides — MCP works on Codex, not only Claude. gemini/grok remain built-in-tools
only (no MCP flag).
- REPL diagnostic: subscription+MCP run with zero tool/browser events warns the
CLI likely isn't logged in / MCP didn't start.
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.
REPL (v3.5.5):
- /timeout <min>: idle guardrail — if no NEW finding lands within the window the
run soft-stops and validates what was found (default 5 min; 0 disables).
- /target accepts a comma-separated list; /run tests them SEQUENTIALLY (a queue
auto-advances to the next target when the current run finishes; one report each).
- /results (no arg, interactive): navigation browser — pick target/run → pick
vulnerability → full detail; Esc steps back a level (vuln → target → session).
- /report (no arg, multiple runs): pick which report to open from a menu.
- /show now shows idle-stop; help updated.
Agent prompts:
- RECON_SYS deepened: crawl + params/headers/cookies, DOWNLOAD & analyze linked
JS (endpoints, hidden params, GraphQL, secrets, sourceMappingURL), fingerprint
exact versions, response-differential analysis; richer JSON schema.
- tool_doctrine adds JS-analysis and request/response-analysis guidance
(linkfinder/gau/katana, header/cookie/timing/length differentials).
Replaces the single-shot chain_round with attack_chain(): an iterative,
per-foothold pivot engine.
- Each round takes the newest confirmed footholds (best-first, capped) and, for
EACH one, an agent DECIDES which directions to expand — post-exploitation
(loot creds/keys/config/source), credential reuse, horizontal+vertical
privesc, lateral movement to adjacent services/hosts, data exfiltration, and
new attack surface the foothold exposes — proving each step with a receipt.
- LOOT (creds/tokens/hosts/endpoints) discovered in one round is carried forward
and reused by later rounds (parsed from a {"findings":[...],"loot":[...]} reply).
- New findings are validated each round (never pivot off a false positive) and
become the next round's footholds. Loop-until-dry or chain_depth rounds.
- New RunConfig.chain_depth (default 2) + --chain-depth flag on all engagement
commands (0 disables). CHAIN_SYS rewritten for decision/post-ex framing.
- Robust verdict parsing (pool::parse_verdict): whitespace-insensitive, checks
explicit rejection first, counts only explicit confirmations; ambiguous →
Unclear (not confirmed). Replaces the fragile exact-JSON / loose "yes" match.
- Severity-aware quorum (pool::quorum_confirmed): High/Critical now need ≥2
validators AND ≥2/3 agreement (a single vote can no longer confirm a
Critical); lower severities need a strict majority (>half, was ≥half). Single-
model panels fall back to majority so they aren't nuked.
- Adversarial refute pass (REFUTE_SYS): every confirmed High/Critical is
re-examined by a skeptical panel that assumes false-positive; findings that
can't withstand a majority of skeptics are dropped. Survives on infra failure.
- Strengthened VOTE_SYS with an explicit false-positive checklist (reflected-not-
executed, version/banner guesses, self-XSS, error-as-injection, thin evidence,
inflated severity); validator query now also includes impact.
- Unit tests for parse_verdict + quorum_confirmed.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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>
Resolves the only two open issues that still apply to the Rust build:
- #21 Azure OpenAI: new `azure` provider (OpenAI-compatible). Endpoint comes
from AZURE_OPENAI_ENDPOINT, api-version from AZURE_OPENAI_API_VERSION
(default 2024-10-21); the model name is the Azure deployment; auth uses the
`api-key` header instead of Bearer. Use `--model azure:<deployment>`.
- #25 Gemini key confusion: GEMINI_API_KEY now also accepts GOOGLE_API_KEY
(Google's standard env var) as an alias; local providers (ollama/litellm)
require no key. .env.example documents both.
Kept under the v3.5.2 line (additive provider support).
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>
Token/quota exhaustion no longer silently drops agents. When every candidate
model is rate-limited / out of quota, the run PARKS (keeping all state) and
prints "⏸ token/quota exhausted … PAUSED". The user can:
- wait for renewal and /continue (retry same model), or
- /model <provider:model> (or the /model selector) then /continue to switch.
Implemented via ModelPool: is_exhaustion() detection, park_exhausted() that
awaits a resume Notify, and a fallback-model slot tried first on retry. /model
queues the chosen models into a paused run's fallback so a plain /continue
resumes on them.
Findings now survive a crash/quit: each finding is checkpointed live to
.neurosploit/active_run.json; on next launch an interrupted run is recovered
into /runs (a raw report is materialized) so /results, /finding and /report
keep working.
/stop now actually halts immediately on raw/discard: one() races the in-flight
model call against the hard-cancel flag, so the CLI child (kill_on_drop) is
terminated at once instead of finishing its whole command sequence. The
validate path still soft-stops (lets validation run).
Docs: TUTORIAL documents the 3-way /stop, crash recovery and pause/continue;
/help lists /continue and the new behaviors.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- New `litellm` provider (kind=api). Use `litellm:<model>` — model names pass
through to your gateway. No hardcoded key required (proxy may be open).
- Env-configurable base URL: LITELLM_BASE_URL (default http://localhost:4000/v1),
LITELLM_API_KEY. OLLAMA_BASE_URL override added too.
- TUTORIAL documents the LiteLLM env config.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
CRITICAL BUG: truncate()/source-context slices cut strings by BYTE, panicking on
a multibyte char (e.g. '—'). The panic crashed agent tasks → task.await returned
JoinError → unwrap_or_default() → empty RunOutput. Result: real confirmed findings
(win.ini traversal, HTML injection) were silently lost, workdir was empty, report
missing. Now all string truncation is char-safe (models.rs, pipeline.rs, repl.rs).
Also:
- Background runs: /run now runs in the BACKGROUND via rustyline's ExternalPrinter
— the REPL keeps accepting commands while the engagement streams live. New
/status (live phase + progress bar + findings) and /stop (graceful). Findings
persist to history + report on completion (finalize_run ensures workdir is set
even on abort, fixing "no report file in ").
- Progress bar: agents-done/total with %, shown in /status.
- Severity colors in the live feed (Critical=red…Info=grey); confirmed vote = green.
- /help reformatted into clear aligned sections.
- TUTORIAL: document non-blocking runs, /status progress, /stop, colors.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Chaining:
- agents_md/chains/ (12 multi-stage exploitation playbooks): SQLi→RCE→LPE,
SSRF→AWS-creds, SSRF→RCE, upload→RCE, upload→LFI→RCE→LPE, XSS→ATO, IDOR→ATO,
SSTI→RCE→cloud, default-creds→domain, deserialization→RCE, exposed-git→RCE,
subdomain-takeover→trusted-abuse. Each stage proven by a tool receipt before
advancing; reports chains_from edges.
- Loaded as a `chains` category (→ 329 agents). chain_round now injects the chain
recipes as a menu so the LLM applies proven multi-stage paths.
Persistence (no DB — structured state):
- Per-project `<cwd>/.neurosploit/` holding session.json (config), runs.json
(history), history.txt (readline). REPL resumes target/repo/auth/focus/models
on reopen; saves on /run and /quit.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Live findings feed: each candidate is surfaced (✦ possible finding [sev] title
@ endpoint) the moment an agent returns it, not only at the end.
- 🔔 notifications in the feed: evidence saved, phase complete (with severity
breakdown = automatic partial summary). Renderer styles notify/finding tags.
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>
- Streamed Claude events now tagged with the agent label (@name) so every
command/tool/file is attributable to the agent that ran it.
- Token/cost telemetry: parse usage from the stream-json result event; feed shows
per-call in/out/cost and a running total in the run summary.
- Ctrl-C during a run no longer hard-kills: it cancels cooperatively (no new
agents launch, in-flight bounded), then asks "generate report from partial
results? [Y/n]" — discard removes the run dir. Second Ctrl-C aborts.
- pool: cancel handle + is_cancelled; one()/complete_routed/chat_cli carry a label.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- Finding enriched with owasp / mitre / kill-chain stage / exploitability /
business_impact / chains_from (attack-path edges).
- attack_graph module: derive OWASP Top 10 + MITRE ATT&CK technique + kill-chain
stage from CWE (heuristic, no extra model call); render a Mermaid attack-path
flowchart (findings grouped by stage, explicit + implicit edges) and an ASCII
kill chain for the REPL.
- enrich() runs in finish() for every engagement.
- HTML report gains an "Attack Path & Kill Chain" section (Mermaid via CDN, dark)
plus a stage/sev/OWASP/MITRE/exploitability table.
- REPL print_findings shows the ASCII kill-chain + severity summary after a run.
- models: add GPT-5.5, GPT-5.4, GPT-5.4-mini, GPT-5.3-codex, GPT-5.2.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Harness:
- ModelPool gains a progress channel (set_progress); chat_cli forwards it.
- New chat_claude_stream: drives Claude Code with --output-format stream-json and
parses the event stream live — assistant text, and tool_use blocks categorized
into tagged events (exec/danger command, read/edit file, net request/browser,
grep/glob tool). 900s bound; clear error surfacing.
- Wired set_progress into run / whitebox / greybox.
REPL renderer (render_line):
- Tagged events render as the conversation feed: tool/command/network as compact
CARDS (tool-runner visual), files/edits/AI text/states as iconized lines.
- Clear "what the AI is doing" states: reconning, planning, testing, validating,
chaining, report, complete — plus a ⚠ DANGEROUS marker for risky commands.
- Untagged harness lines mapped to the same state vocabulary.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Harness:
- Exploit-chaining round: after validation, chain confirmed findings into deeper
impact (SSRF→metadata, SQLi→dump→reuse, IDOR→ATO, file-read→secrets→RCE),
validate the new findings, merge. Wired into black-box and greybox.
- Latest top models surfaced: claude-opus-4-8, gpt-5.1/gpt-5.1-codex, gemini-3-pro.
REPL:
- Real line editing via rustyline: ↑/↓ command-history recall, Ctrl-A/E/K, paste;
Ctrl-C cancels the line, Ctrl-D exits. Command history persists to
data/repl_history.txt. Graceful plain-stdin fallback when not a TTY.
- /model with no arg → arrow-key multi-select (dialoguer); with arg accepts any
provider:model names.
- /key is model-aware: lists the providers your selected models need (set/missing)
and prompts for the missing keys; /key <prov> <key> still works.
- Run history persists to data/repl_runs.json and reloads across sessions
(/runs lists past + current; /results /report /status by run number).
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
- RunOutput exposes `workdir` so the session can locate reports.
- Session now records every run (RunRecord: id, mode, target, workdir, findings).
- New commands:
/runs list runs done this session (mode, target, severity counts)
/results [n] show findings of run n (default last), severity-sorted
/report [n] open the PDF/HTML report (open/xdg-open)
/status [n] print the run's status.json
/offline on|off pipeline self-test toggle (no model calls)
- Each /run prints "saved as run #n" with the quick commands.
- Verified offline: run → /runs → /results → /status all work.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
