Commit Graph
33 Commits
Author SHA1 Message Date
CyberSecurityUPandClaude Opus 5 4b71ac63a0 feat(mobile): binary/APK/IPA testing mode + 12 RE skills — v4.2.0
New `mobile` engagement mode: `neurosploit mobile <app.apk|app.ipa|binary>`
reverse-engineers a local artifact with a dedicated `mobile` agent set, all
headless and provisioned on demand (Ghidra analyzeHeadless, MobSF REST/Docker,
Frida, apktool/jadx, radare2).

Twelve original, generic skills (agents_md/mobile/, English): static binary
triage, APK static analysis, IPA static analysis, RASP & anti-tamper mapping,
root/jailbreak detection + bypass, TLS pinning detection + bypass, anti-debug
detection + bypass, obfuscation analysis & deobfuscation, code-integrity /
tamper-check bypass, hardcoded-secrets extraction, insecure local storage, and
mobile network traffic analysis. Findings are proven from the artifact
(decompilation or Frida trace), non-destructively.

- agents.rs: new `mobile` Library category (loaded, counted).
- pipeline.rs: run_mobile() mirroring the host pipeline with a mobile recon and
  headless tooling doctrine; exported from the crate.
- CLI: `Cmd::Mobile` + `Mode::Mobile`, wired in main and the TUI.
- README + TUTORIAL document the new test type; engagement-modes badge + table
  updated; "New in v4.2.0" note. Version bumped to 4.2.0 across the workspace.

383 tests.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-20 21:08:14 -03:00
CyberSecurityUPandClaude Opus 5 088d133c80 release: v4.1.0 — assurance layer, TypeSafe, hardening + benchmark
Version bumped to 4.1.0 across the workspace, binaries, web console and Typst
template.

README: new "New in v4.1.0" summary; trimmed the verbose highlight bullets and
the TypeSafe section; removed the anti-plagiarism/provenance section (provenance
stays in the code, just not front-and-centre in the README); TypeSafe promoted
to its own top-level section; agent count 446.

TUTORIAL: new section 17 "Assurance & authorization" covering the target gate,
--scope-file, evidence-graded CVSS, audit anchoring + assurance bundle, sandbox,
intercept proxy, PoC re-validation, compliance mapping, TypeSafe, and the
internal/AD graph + budget governor.

benchmarks/typesafe-2026-09-20/: the with/without TypeSafe measurement —
report.html, scorer, both runs' findings/assurance/meta/logs, and a README.
No secrets committed (env-only during the runs, verified clean).

381 tests.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-20 12:25:23 -03:00
CyberSecurityUPandClaude Opus 5 f1fb6b8bc7 feat: PoC validator, Kali sandbox, intercept proxy, compliance, +8 validators
Closes the three benchmark gaps and adds the two the user asked for.

poc.rs — re-runs each finding's recorded proof and sorts it into reproduced /
changed / gone / unverifiable. The last two are kept apart deliberately: a PoC
that could not be tested (out of scope now, state-changing, nothing recorded)
is never reported as one that failed. Never re-runs a mutating request to
"confirm" it. Can only lower a finding's standing, never raise it. Wired as a
run pass (--revalidate-poc) and a subcommand (neurosploit poc <run> --apply).

proxy.rs — own recording forward proxy (HTTP in full; HTTPS tunnelled with
honest metadata, no fake CA) that chains upstream to Burp / Caido / ZAP /
mitmproxy. A bare tool routes straight through it; own+tool records here and
forwards for full TLS interception. Flows -> flows.jsonl, distinct hosts become
passive-discovery leads. Harness and agent child commands share one route.

sandbox.rs — Kali docker/podman container: no host network, no mounted socket,
no-new-privileges, workdir mounted, proxy/transport env inherited. A missing
runtime is an explicit error, never a silent fallback to host execution — the
whole point being to keep attack payloads off the operator's host. Subcommands
sandbox up|exec|install|down.

compliance.rs — maps confirmed findings onto PCI-DSS v4.0, HIPAA Security Rule
and SOC 2 controls. Phrased as "bears on control X", never "compliant/non-
compliant"; the disclaimer is rendered on top and absence of a finding is never
presented as compliance. Report section + `neurosploit compliance <run>`.

validation.rs — 8 new deterministic validators (19 -> 27 classes): verbose
errors/stack traces (CWE-209), cleartext/HSTS (319), CRLF response splitting
(113), dangerous HTTP methods (650), GraphQL introspection, exposed backup
files (530), Host header injection (644), cacheable private responses (525).
Each names exactly what it saw and rejects the classic false positives (a
block page echoing a payload, the SPA served under a bogus path, a copyright
year mistaken for a code).

All wired through RunConfig, the CLI (global --intercept/--sandbox; run-level
--revalidate-poc/--compliance) and the web console's Tooling & assurance block.
328 tests.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-14 10:26:06 -03:00
CyberSecurityUPandClaude Opus 5 408350539f feat(budget,provenance): reasoning budget modes and JOASNSCOPE provenance
Budget (opt-in, unlimited by default so an un-budgeted run is unchanged):
- crates/harness/src/budget.rs — modes, phase shares, Token Governor
- CLI: --budget/--token-limit/--deep-test-limit/--coverage-first/
  --depth-first/--sample-per-route; same controls in the web wizard
- pipeline honours it: vote_n narrows, evidence rounds are capped

Run control parity in the web console:
- /pause in the REPL, backed by a pause gate in the model pool: in-flight
  agents finish, then the run holds with every finding kept
- POST /api/exploit/:id/{pause,continue,report} + GET .../log

Provenance (crates/harness/src/provenance.rs):
- JOASNSCOPE sigil leads every canary, so a marker found in a response,
  a log or someone else's report extracts whole and names its build
- per-build fingerprint, per-run id, optional per-customer build id
- findings.json stamped with _engine; signed provenance.json manifest
- structural signature survives rewording but not a changed result set
- prompts watermarked at the single pool chokepoint
- `neurosploit provenance show|scan|verify`

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-14 01:14:03 -03:00
CyberSecurityUPandClaude Opus 5 fb65074cab feat(chain): attack paths derived per vulnerability, after every agent has reported
The Arena engagement produced 24 findings, a graph with 83 edges, and exactly
one chain edge. Two defects, both a step nobody was doing rather than a model
reasoning badly.

chains_from came back empty on every finding. An agent works one vulnerability
and has no view of what the other twelve found, so asking it to link its result
to findings it never saw was asking for something it cannot know. Chaining now
happens after the whole set is visible, on rules about ENABLEMENT: what one
weakness yields that another needs. Account enumeration yields valid
identities; absent throttling turns them into unlimited guesses; a permissive
password policy makes the guessing land. None is severe alone, and that
sequence is how accounts get taken over — on the real data it now reads
CWE-307 <- CWE-204, CWE-208 and CWE-614 <- CWE-319.

The CWE->stage fallback sent 23 of 24 findings to initial-access, so the kill
chain had one populated column and drew a star. Enumeration and side channels
are discovery; missing throttling, password policy, cookie flags and session
fixation are credential-access; hardening headers are recon. The same run now
spreads across credential-access 13, discovery 6, initial-access 5.

Two bugs the tests and the real data caught:
- CWE-614 both yields session material and needs it, so a class chained to
  itself: duplicates formed a circular "attack path" from a cookie flag to the
  same cookie flag. A weakness class no longer enables itself.
- apply_links only fills an empty chains_from, which is right for asserted
  chains and wrong for links written by an older version of these rules — a
  report kept the circular link through two rebuilds because nothing was
  allowed to touch it. repair() now drops links that cannot be true whoever
  wrote them: self-references, same-class links, dangling ids, cross-host
  links.

enrich() still only fills empty fields during a run (an agent's judgement
should survive), but a rebuild applies the current mappings via remap_stages —
otherwise a finished run is frozen with whatever taxonomy existed that day.

path_for() gives the per-vulnerability view: what precedes this finding, what
it enables, and the narrative to print beside it.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-14 00:49:52 -03:00
CyberSecurityUPandClaude Opus 5 53a6a45448 feat(report): CVSS v3.1 with vectors, a PDF that survives long payloads, capped over-claims
Driven by the Arena Hockey engagement, where all 24 findings shipped with an
empty CVSS field and the PDF ran payloads off the page edge.

CVSS
- Derived deterministically from what the harness knows: the weakness class
  sets the impact shape, the PROVEN exploitability sets attack complexity, and
  the auth context sets privileges required. The vector is emitted with the
  score, because a score without its vector cannot be checked and an unchecked
  score is just a bigger adjective.
- The base equation is the v3.1 specification verbatim, including round-up and
  the scope-changed privileges table. Tests anchor it against known values
  (9.8 unauthenticated RCE, 10.0 with scope change, 6.1 reflected XSS, 0.0 for
  no impact).
- An unknown weakness stays conservative — guessing high impact from a class
  nobody mapped is how reports get inflated. An agent-supplied score is never
  overwritten.

PDF
- Steps are passed as an ARRAY and rendered as a real numbered list, one command
  per box. The previous template flattened them into a single `raw` block, which
  rendered five separate commands as one run-on paragraph.
- Finding blocks are breakable, so a long evidence dump flows to the next page
  instead of off the bottom of this one.
- `wrappable()` inserts zero-width breaks so encoded payloads wrap. The first
  attempt broke prose mid-word ("rota ted", "lockoutOnFailu re=false") by
  breaking every N characters regardless of context; it now works per token and
  leaves anything that fits on a line exactly as it was.
- rebuild() re-enriches before rendering, so a run that finished before a
  mapping existed picks it up instead of reprinting the gap forever.

Over-claimed findings are capped, not deleted
- The engagement rejected "no rate limiting on the password-reset flow" because
  the agent claimed inbox flooding and only proved 25 unthrottled requests. The
  claim was inflated; the measurement was real, and dropping it hid a genuine
  gap. A unanimously rejected finding that still carries a checkable receipt is
  now capped to Low and flagged for review, with the validator's reason
  attached — the reader gets the fact without the story built on it.
- The agent contract now says impact must be what was MEASURED, and warns that
  inflating it costs the whole finding.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-14 00:22:10 -03:00
CyberSecurityUPandClaude Opus 5 61ae3bc74d feat(report): rebuild reports on demand, from the CLI and the web
A PDF was only ever produced while a run was finishing. If `typst` was missing
at that moment — or the template improved afterwards — the operator had no way
to get one without re-running the whole engagement against the target.

report::rebuild() regenerates every artifact (md · json · html · pdf) from the
findings already on disk, exposed as `neurosploit rebuild <run-id|dir>` and as
POST /api/runs/:id/report with a "Generate report" button in the run view. The
endpoint shells out to the harness rather than reimplementing report generation
in JavaScript, so there is one implementation instead of two that drift, and it
says plainly when the PDF was skipped for want of `typst` instead of handing
back a link to a file that was never produced.

Also fixes write_all() to pass the run's pocs/ listing into the HTML report, so
a rebuilt report links the scripts each finding cites — the run-time path
already did this and the rebuild path silently did not.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-13 19:27:26 -03:00
CyberSecurityUPandClaude Opus 5 c3a6132153 feat(report): findings that answer where / why / how to fix, with a pasteable PoC
A finding is useful only if the reader can find the problem, see why it
matters, fix it, and reproduce it without trusting us. The report answered the
last one badly and the other three not at all: it printed a payload blob and an
evidence blob, and "payload: ' OR 1=1--" tells a developer nothing about WHERE
to look. A PoC script attached as a file is a black box unless you run it.

Findings are now rendered in the order a reader works through them — where the
problem is, what it means, how to fix it, then the proof — in the HTML report,
the Markdown, the Typst/PDF and the web console's finding modal.

The proof is numbered, pasteable steps: baseline request, attack request, how
to read the result, with the real URL and the real payload. They come from the
agent's `repro_steps` when it recorded them, and are derived from the
endpoint/payload/identity pair otherwise, so every finding carries something
runnable. The generated curl redacts Authorization/Cookie/API-key headers — a
report gets shared, and a live session cookie inside one is a new bug. A PoC
script is now offered as an extra artifact that automates the steps, never as
the proof itself.

Technical evidence is the measured difference, not a paraphrase: baseline vs
attack status, size, timing and delta; how many repeats reproduced it; the
controlled marker and whether a browser or a callback observed it; then each
recorded exchange with the headers that decide a class (Location, Set-Cookie,
Access-Control-*, X-Frame-Options, CSP, Retry-After) and a body excerpt.

Finding gains `location` (the parameter/field/flow step, not just the URL) and
`repro_steps`, and the agent contract now asks for them explicitly, along with
impact tied to this app's data and remediation that names the control rather
than saying "sanitise input".

The web console offers the run's PDF when Typst produced one — and only then,
since a dead download button is worse than none.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-13 17:48:14 -03:00
CyberSecurityUPandClaude Sonnet 5 07bed42467 feat(harness): /only REPL command; redesign the HTML report (drop attack-chain, match Typst)
/only <agent,...> (app/src/repl.rs): the REPL had no way to pin an exact
agent set the way the CLI's --only flag does - Session gained a `pinned`
field, wired into RunConfig in both start_background() (the live
background-run path) and the blocking run() fallback. Needed so the web
console's exploitation jobs can drive a real interactive REPL session
(for live input while a run streams) without losing lead-pinning, which
only existed as a CLI flag until now. Also usable directly from a
terminal REPL session.

HTML report (crates/harness/src/report.rs, html()): rebuilt to match the
Typst PDF template's design (templates/report.typ) instead of its own
inconsistent styling - violet brand accent, an asset table, a 5-box
executive-summary grid (all severities, zero-count included, matching
Typst's grid exactly), a Vulnerability Summary table, and severity-
left-bordered finding cards with a compact field grid (Criticality /
Status / OWASP-CWE / Confidence / Location / Agent / Auth context) before
Description-Impact / Proof of Concept / Evidence / Remediation - same
field order and labels as the Typst template. Dropped the Mermaid
attack-path/kill-chain section entirely (the web console's live
Generative Attack Path Chaining graph covers that now, interactively).
Also tidied two pre-existing formatting quirks while in there: OWASP/CWE
left a dangling " · " when CWE was empty, and the confidence cell said
"<votes-string> votes" even when the votes field already contained a
compound descriptor like "1/1 · receipt_missing".

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0129WdYHccPsH27k5GGuwijd
2026-08-23 16:04:34 -03:00
Joas A SantosandClaude Fable 5 cb19e2194d feat(3.6.7): CVE exploitation pipeline, PoC-in-report, any-primitive chaining, --only, whitebox doctrine (#41)
Version 3.6.6 -> 3.6.7. +5 agents (430 -> 435).

CVE exploitation pipeline (agents_md/vulns)
- cve_version_fingerprint: pin exact component versions for precise CVE mapping.
- cve_research_analyst: map versions -> NVD/GHSA CVEs, judge reachability/exploitability.
- cve_poc_finder: locate/vet/adapt a public PoC, run non-destructively.
- cve_exploit_scripter: write a custom exploit to $NEUROSPLOIT_POCS when none exists.

Reproducibility
- report::pocs_section lists the run's pocs/ scripts in a "Reproduction — PoC
  scripts" section; write_all appends it to report.md. Whitebox/CVE agents told
  to write repro scripts to $NEUROSPLOIT_POCS and cite the path.

Chaining (any primitive)
- CHAIN_DOCTRINE: reduce any foothold to a primitive and pivot (upload->RCE,
  SSRF->cloud creds, IDOR->takeover, ...), reuse looted creds, reason about
  business logic. New chain_cve_to_rce_to_pivot recipe. Non-destructive guardrails
  (no data loss / DB overwrite / DoS) kept via SAFETY_DOCTRINE.

Re-test one vuln
- --only <agent> on run/whitebox/greybox sets cfg.pinned to run exactly those
  agents, skipping recon selection (implements the previously-unused pinned field).

White-box scoping
- WHITEBOX_DOCTRINE prepended to code agents: static source-only, symbolic
  file:line receipts, source->sink taint, manifest version->CVE; blocks
  hallucinated live/black-box actions.

Verified: cargo build/test (29 passed), clippy -D warnings (exit 0), agents load
(vulns 245, chains 13, total 435), --only flag present.


Claude-Session: https://claude.ai/code/session_01QDses7zTSa9YF7pPRjphvh

Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
2026-08-04 10:44:18 -03:00
Joas A SantosandClaude Fable 5 f913af211d feat(3.6.6): local/uncensored llama.cpp provider, clippy clean, CI (#40)
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>
2026-08-03 23:48:08 -03:00
Joas A SantosandClaude Opus 4.8 4eed1ce652 feat: proof screenshots in reports (finding-correlated) + source-able env.sh (#37)
* 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>
2026-07-31 20:32:15 -03:00
CyberSecurityUP f3da46886f feat: richer report — asset/business identification, exec summary, vuln table, accounts, conclusion
- Identify the ASSET (product/org + tech stack), not just the URL: probe extracts
  page title, fingerprints tech, matches known apps (Juice Shop, DVWA, WordPress…)
  and reads a business/brand hint (og:site_name / application-name / © copyright).
  Written to meta.json after the liveness probe; the run log now prints the asset.
- report.rs: EngagementMeta + read_meta; markdown() rebuilt with Asset-under-test,
  written Executive Summary, Vulnerability table (severity/status/CWE-OWASP), Test
  accounts created (from the vault), detailed confirmed findings, Needs-review
  section, and a written Conclusion. html() names the asset+stack. json_report()
  gains an asset block. typst_report() reads meta and injects asset/exec/conclusion/
  accounts/status/auth; Typst template upgraded (cover asset, asset table, status
  column, needs-review badge, accounts + conclusion sections).
- probe.rs: Probe.brand + extract_brand(); parse_forms/brand covered by tests.
- Verified: Typst template compiles to PDF with the new fields; 16 tests pass.
2026-07-30 20:30:08 -03:00
CyberSecurityUP 76121fd739 feat: human-in-loop validator (flag not delete), MD/JSON reports, SPA methodology, robust RL
- Validator no longer silently drops uncertain findings. New Finding.review_status
  (confirmed | needs-review) + review_reason. validate() keeps partial-support as
  needs-review (drops only zero-support noise); refute_pass() demotes refuted
  High/Crit to needs-review instead of deleting; grounding::gate() flags ungrounded
  as needs-review instead of retain-dropping. Reports separate the two buckets.
- Reports: report::write_all writes report.md (human) + report.json (structured
  confirmed/needs-review/all) + report.html + Typst PDF. Wired into finalize_run
  and report_raw. HTML shows a NEEDS REVIEW badge + reason.
- SPA/REST methodology: when recon detects a JS SPA and/or REST/GraphQL API,
  inject SPA_API_DOCTRINE — directions (not an answer key) for a Juice-Shop-class
  surface: map API from JS bundle, hidden client routes, SQLi login-bypass/UNION,
  JWT none/RS→HS forge, IDOR/BOLA + mass-assignment, path-traversal + poison null
  byte, forgot-password OSINT, exposed /metrics, DOM XSS, NoSQL, SSRF, redirect
  allowlist, XXE, coupon crypto. Agents still discover and prove live.
- RL reward shaping: confirmed (severity × confidence) strong, needs-review small
  positive lead, no-find slight decay — reliable agents rise in selection.
- Tests: grounding gate flag-not-delete; report md/json bucket separation.
2026-07-30 20:06:05 -03:00
CyberSecurityUP a5cdd32a0a feat: account registration, form analysis, credential vault + cleanup (v3.6.5)
- 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.
2026-07-30 16:20:58 -03:00
CyberSecurityUP 797a8eb7a1 v3.6.5: LLM red-teaming (jailbreaks & prompt injection) + Opus 5 / Sonnet 5 / Kimi K3
- 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.
2026-07-28 13:38:15 -03:00
CyberSecurityUP a61e75b601 v3.6.4: fix #33 — mode-aware grounding so white-box SAST findings aren't demoted
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.
2026-07-19 17:48:19 -03:00
CyberSecurityUP 53c07b9a9c v3.6.3: resumable interrupted runs + crash-proof mid-run browsing
- /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.
2026-07-10 21:44:22 -03:00
CyberSecurityUP ce31478068 v3.6.2: stream Codex tool-by-tool + capture agent commands in /logs & /status
- 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.
2026-07-10 17:28:40 -03:00
CyberSecurityUP 54bf424c1d v3.6.1 — add GPT-5.6 models (sol / terra / luna)
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.
2026-07-10 16:27:28 -03:00
CyberSecurityUP b09367483a v3.6.0 — AI/LLM/Agent/MCP/Skills security, n8n audit, onboarding wizard
- New `ai` agent category (agents_md/ai/, +18): OWASP LLM Top 10 (2025) — prompt
  injection (direct+indirect), jailbreak, system-prompt leak, sensitive-info
  disclosure, improper output handling, excessive agency, RAG/embedding, unbounded
  consumption, supply chain, misinformation — plus MCP risks (tool poisoning,
  excessive permissions/confused-deputy, unsafe tool execution) and Skills/plugin
  + n8n workflow audits (incl. an AI/LLM-node audit). Library 417.
- Pipeline: run_ai (live AI/LLM/MCP red-team) + run_skills_audit (white-box .md/
  .json/folder for skills & exported n8n flows), AI_DOCTRINE + AI_RECON_SYS. Mode
  enum gains Ai/Skills; wired in CLI + TUI.
- CLI: `aitest <url>` and `skills <path>` subcommands. `agents` JSON now reports ai.
- REPL onboarding wizard (/onboard, auto on first launch): pick scope — web /
  infra / cloud / ai / skills — then guided setup; Session.scope drives dispatch;
  shown in /show.
- Models: +claude-sonnet-5, +grok-4.5.
- Version 3.5.6 -> 3.6.0; docs/counts (417) + RELEASE section.
2026-07-10 11:09:19 -03:00
CyberSecurityUP 26a8c84dc5 v3.5.6 — bug-bounty corpus grounding + 2FA bypass agent; Trendshift badge
- Fetched & analysed real public writeup corpora (Awesome-Bugbounty-Writeups,
  bug-bounty-reference); the technique distribution (XSS/RCE/CSRF/SSRF/2FA/…)
  validates the methodology agent's priorities. Added explicit 2FA/MFA bypass and
  SAML/SSO sections to bugbounty_methodology.
- New agent twofa_bypass_techniques (library 399): full 2FA-bypass playbook
  (rate-limit brute, reuse, response manipulation, step skip, null/default,
  backup/remember-me, race, disable-2FA IDOR, SSO side door).
- README: Trendshift badge.
- Version bumped 3.5.5 -> 3.5.6 across crates/app/installers/docs; RELEASE section.
2026-07-10 00:40:01 -03:00
CyberSecurityUP 2e25809a93 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.
2026-07-01 22:38:27 -03:00
CyberSecurityUP e5c607f467 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.
2026-07-01 19:01:27 -03:00
CyberSecurityUPandClaude Opus 4.8 64decada3e v3.5.3 — Integrations (GitHub · GitLab · Jira)
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>
2026-06-27 01:56:49 -03:00
CyberSecurityUPandClaude Opus 4.8 e4efa9bbb0 v3.5.2 — Exploitation Depth & Report Hygiene
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>
2026-06-26 11:31:11 -03:00
CyberSecurityUPandClaude Opus 4.8 eb4e13efea v3.5.1: live findings + /finding + Ctrl+O/expand + 3-way /stop (soft validate) + report URL + structured Typst + IIS/CMS/CVE agents
REPL interactivity & findings:
- Live findings registered during a run: /results shows them accumulating;
  /finding opens a selection menu with FULL details (PoC, command, evidence,
  CVSS, OWASP/CWE, remediation). Past runs too.
- /expand (and Ctrl+O) dump the last full, untruncated commands.
- Findings colored by severity in the feed (not all-yellow); confirmed vote = green.

Stop & report:
- CRITICAL: /stop no longer kills validation. New SOFT stop (pool.soft) halts
  launching new agents but lets in-flight + VALIDATION finish — so confirmed
  findings are kept. /stop now asks 3 ways: [1] validate then report,
  [2] report raw (no validation), [3] discard.
- Report file:// URL printed on completion/stop.

Report:
- Typst report restructured: executive summary, a Vulnerability Summary TABLE
  (#, vuln, severity, CVSS, OWASP/CWE), and per-finding sections with criticality,
  CVSS, OWASP/CWE, description/impact, PoC, evidence, remediation. owasp passed through.

Agents: +14 app-stack/CVE (IIS tilde/WebDAV/ViewState/debug/handler-bypass,
CMS fingerprint + WordPress/Joomla/Drupal/default-admin, app-server consoles,
exposed VCS, known-CVE & outdated-component exploitation) → 343 total.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 23:21:43 -03:00
CyberSecurityUPandClaude Opus 4.8 a8676fee0a v3.5.1: POMDP belief-state + value-of-information planner + grounded anti-hallucination
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>
2026-06-24 21:41:18 -03:00
CyberSecurityUPandClaude Opus 4.8 1be053c4a2 v3.5.0: attack graph + kill chain (OWASP/CWE/MITRE) + GPT 5.5/5.4/5.3-codex/5.2 + report graph
- 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>
2026-06-24 21:14:06 -03:00
CyberSecurityUPandClaude Opus 4.8 435463979b v3.5.0: Claude-Code-style interactive harness (REPL) + instruction-steered testing
- New persistent interactive session (app/src/repl.rs), launched when run with no args:
  banner, model selection, API-key config (/key) or subscription (/sub), then a live
  session to set /target, /repo, /auth, and free-text /focus instructions (or just type
  them) that STEER which agents run and how.
- Slash-commands: /model /providers /key /sub /target /repo /auth /focus /mcp /votes
  /agents /show /run /quit  (+ bare text = focus).
- RunConfig gains `instructions` and `auth`:
  * instructions bias both LLM agent-selection and the heuristic (focus keywords →
    injection/access-control/etc. agents get a strong boost)
  * operator directives (focus + auth) injected into recon and exploit prompts so agents
    test as an authenticated user and prioritise the requested vuln classes
- bump 3.4.1 → 3.5.0 (CLI, harness, reports, credits)

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 19:58:35 -03:00
CyberSecurityUPandClaude Opus 4.8 5d83e8848e v3.4.1: harness intelligence — router, ReAct, dedup, token-trim, configurable MCP, +54 code agents, credits
- 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>
2026-06-24 19:49:01 -03:00
CyberSecurityUPandClaude Opus 4.8 96f00c1c68 v3.4.1: CLI-only Rust harness — interactive wizard, smart selection, tool doctrine, Typst, status
- Remove Rust web server (axum/tower-http); CLI-only binary
- Verbose logging (-v) + unique run-id output folder runs/ns-<ts>-<target>/
- status.json lifecycle (running → complete) + ✓ COMPLETE summary
- Interactive wizard when run with no args; detailed --help with testphp/DVWA examples + Kali tip
- Tool-usage doctrine injected into recon/exploit prompts: curl + rustscan/nmap
  (apt/brew/cargo install guidance) + browser via Playwright when present, else curl
- Smart recon-aware selection: map recon signals → agent categories, only run
  matching agents; heuristic fallback when LLM selection is empty
- Cross-model false-positive validation: voting prefers a model other than the finder
- Playwright MCP auto-provision (npx) + per-backend support (claude/codex; gemini/grok degrade)
- Gemini provider (API + gemini CLI subscription)
- Typst report (report.typ + compiled report.pdf) via blank structured template
- Lenient finding parsing (confidence as word/number) — fixes empty-results bug
- bump version 3.4.0 -> 3.4.1

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 19:34:13 -03:00
CyberSecurityUPandClaude Opus 4.8 56d3f0c723 NeuroSploit v3.4.0 — Rust multi-model harness + Axum dashboard
New cargo workspace `neurosploit-rs/` (single `neurosploit` binary):

harness crate:
- models.rs: 11 OpenAI-compatible providers / 31 models (Claude, GPT, Grok,
  NVIDIA NIM, DeepSeek, Mistral, Qwen, Groq, Together, OpenRouter, Ollama)
- pool.rs: ModelPool with bounded concurrency, provider failover, and N-model
  validator voting (the panel doubles as the jury)
- agents.rs: loads the existing agents_md/ library (213 agents)
- pipeline.rs: recon → parallel exploit (semaphore-bounded) → N-model
  adversarial vote → score; streams live progress over a channel
- report.rs: HTML report
- tokio + reqwest(rustls); offline mode runs the pipeline without API keys

app binary:
- clap CLI: serve | run | agents | models  (run supports --model x N, --vote-n,
  --max-agents, --offline)
- axum web dashboard with multi-model panel, live console, findings, agent
  browser, embedded report; single binary serves the SPA (no npm/build)

Verified: cargo build clean; agents/models/offline-run CLI; server endpoints
(/api/info, /api/run lifecycle, /report); dashboard + live run in Playwright.

Docs: README v3.4.0 callout + RELEASE.md notes. target/ gitignored.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-21 19:58:43 -03:00