Commit Graph
27 Commits
Author SHA1 Message Date
CyberSecurityUPandClaude Opus 5.5 79685cee49 feat: graph memory in the test loop, wire-bound evidence, authz matrix, report redaction
Harness
- graph_memory: typed attack graph (web + internal network) with Neo4j sync
  over the HTTP API. Graph checkpoints run after recon, validation, each
  chaining round and at the end. They direct agent selection and feed the
  live chains, next moves and dependency todolist into every prompt.
- wire: every reported exchange is checked against recorded flows and
  re-sent through the scope-guarded replay engine. A contradiction means the
  finding cannot stand as confirmed.
- traces: each agent's transcript is shared with the others as a fenced,
  structured digest (endpoints, params, error signatures, versions).
- authz_matrix: role x route authorization matrix validator, with
  identity tiers in creds.
- deliverables: evidence custody, exploit-as-test (honest oracles only),
  detection content and personas, with no credential leakage.
- redact: credentials quoted by agents become $SECRET_n in every
  human-facing report (md/html/json/sarif/typ, findings.md). findings.json
  and the vault keep raw values for re-testing.
- compliance: GDPR replaces LGPD.
- New agents: authorization_matrix, session_lifecycle, api_token_structure,
  exposed_datastore, postgres_superuser_rce, meta/graph_reasoning.

Web console
- New tabs, mounted in both the detail and live views: Attack graph
  (replaces Generative Attack Path Chaining), Chains, Dependencies,
  Traffic, Traces, Deliverables.
- Wire/Status columns, KPIs, CSV export.
- Graph recompute / Neo4j push / Re-test actions, all through the CLI.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_015v24fuCWxkanS31HDmaDB6
2026-10-11 19:20:29 -03:00
CyberSecurityUPandClaude Opus 4.8 9076d30c59 feat: vulnerability-research mode — hand it a repo, it hunts a novel CVE
New --research mode for whitebox/greybox (REPL /research, web 🔬 checkbox, or
auto-detected from natural-language focus/objective in PT/EN). Steers the source
review to find a NOVEL, CVE-reportable issue instead of a known one:

- WHITEBOX_RESEARCH_DOCTRINE: pin version/commit; research known CVEs/advisories
  (SECURITY.md, CHANGELOG, GHSA, NVD, git history) to de-duplicate; patch-diff /
  n-day->0-day variant analysis (incomplete fixes, bypasses of a new check,
  sibling sinks, reintroductions); strict novelty gate (each finding states
  novel-why + checked-against); benign PoC + dynamic confirm on greybox.
- RunConfig.research + is_research_intent(); injected in run_whitebox and the
  greybox code-review half.
- 6 research skills (code/): known_cve_dedup, patch_diff_variant,
  attack_surface_map, source_to_sink_taint, logic_authz_flaw,
  dependency_nday_reachability.
- Methodology modeled on a real AppSec-research workflow (no specifics copied).

479 agents, 421 tests.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-10-03 01:08:57 -03:00
CyberSecurityUPandClaude Opus 4.8 7741290193 feat(agents): deep Active Directory suite — 25 host/infra skills + 7 AD chains
Adds robust AD pentest coverage spanning the full kill chain (initial access →
enumeration → exploitation → lateral movement → privilege escalation →
persistence → pivoting), with concrete tooling, per-technique decision points,
benign-proof-only guidance, lockout/state awareness, and chaining hooks. All
GENERIC — no lab-specific hosts/IPs/creds/flags; works in any AD environment.

New infra/ skills: ad_recon_enum, ad_bloodhound_paths, ad_llmnr_poisoning,
ad_ntlm_relay, ad_password_spray, ad_kerberos_delegation, ad_adcs_esc,
ad_pth_ptt, ad_coerce_auth, ad_critical_cve (Zerologon/noPac), ad_smb_share_hunt,
ad_laps_gmsa_read, ad_gpo_abuse, ad_dpapi_looting, ad_trust_abuse,
ad_persistence_review, ad_mssql_abuse. Enriched: ad_kerberoasting, ad_asreproasting,
ad_dcsync, ad_acl_privesc, ad_default_creds, windows_priv_esc.

New chains/: chain_ad_web_to_forest_root, chain_ad_rbcd_s4u_to_adcs,
chain_ad_coerce_relay_adcs, chain_ad_kerberoast_to_domain,
chain_ad_mssql_linked_pivot, chain_ad_trust_cross_forest, chain_ad_local_to_domain.

attack_graph: map CWE-294/295/1392/269 to OWASP/MITRE/stage + CVSS bands so AD
findings grade and place in the kill chain correctly. 473 agents, 421 tests.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-10-03 01:08:57 -03:00
CyberSecurityUPandClaude Opus 4.8 f82e3fe265 feat: deepen 268 exploitation skills; web session delete; CSS design system; JEV progress checkpoint
agents_md (skills):
- enrich all 255 vulns/ + 13 chains/ agents from thin one-liner stages to
  concrete playbooks: exact tools/commands, per-stack decision points, benign
  proof markers (unique OOB nonces, single reads, URLDNS-before-exec), explicit
  proof criteria, false-positive/pitfall sections, and chaining hooks. Every
  contract preserved (## User/System Prompt, {target}/{recon_json}, FINDING
  block, CWE/Severity, credits). avg 37->53 lines; loader parses all 449.

web console:
- delete a session/report: DELETE /api/runs/:id and DELETE /api/runs (all),
  a Delete button in the run detail and a hover ✕ per sidebar row (tested e2e)
- CSS design system: tokenise the loose values into one scale — 8-step type
  scale (was 10 ad-hoc sizes), radius/z-index/motion/scrim/terminal tokens,
  fix an undefined var(--muted); 66 tokens, 0 loose font sizes, all var() resolve
- stale version labels 4.0.0/4.2.0 -> 4.2.1

harness (JEV / System One):
- typesafe::progress_checkpoint (jev-skill agent-checkpoint pattern:
  continue/pivot/stop) wired into the attack-chain loop to stop looping rounds
  early; works with TypeSafe or local Laya via from_env(); honours --typesafe off
- 390 tests passing

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-09-26 16:25:58 -03:00
CyberSecurityUPandClaude Opus 5 e49595b8bf feat(container,coverage): Strix-1.6.2-inspired capabilities
- Container image scanning: new `container` mode + 4 skills (vuln, secret,
  misconfig, SBOM) driving trivy/grype/syft headless, read-only. Scans an OCI
  ref / tar / Dockerfile for vulnerable packages (CVE/fixed-in/KEV), exposed
  secrets in any layer, Dockerfile+runtime misconfig, and writes an SBOM in
  both SPDX and CycloneDX to the run's sbom/. Also exposed as an MCP tool
  (neurosploit_container).
- Coverage report: every run writes coverage.md — which agents ran (tested
  surface), findings per agent, and the high-value classes NOT covered — so the
  reader sees the engagement's reach. Added to the assurance bundle.
- Login-verification evidence: doctrine now requires capturing the login
  request/response + a Playwright screenshot and recording success/failure
  before authenticated testing.
- HTTP traffic export: `neurosploit traffic <run>` turns the intercepted
  flows.jsonl into a traffic.http archive for external tools.

Not ported: Asset Discovery (enterprise-only, skipped per request).

383 tests.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-23 01:27:26 -03:00
CyberSecurityUPandClaude Opus 5 fce86522ca feat(chain,skills): close benchmark misses — CRLF-on-Location, second-order precondition; condense BENCHMARK
The 13-target benchmark left 3 misses. Root-caused and fixed the two that were
coverage gaps (the third was single-run variance, already handled by the
session-limit fix):

- CRLF header injection (web_crlf_header_go): the agent confirmed the open
  redirect on /go?url= and stopped; the CRLF payload was never generated. The
  open_redirect skill now tests %0d%0a header injection on the SAME param, and
  CHAIN_DOCTRINE says a param landing in a Location header must also be tested
  for response splitting. chain.rs: CWE-113/93/644 now provide capabilities;
  attack_graph maps their kill-chain stage.
- Second-order SQLi (web_sqli_second_order): the sink was behind /admin, which
  the customer account could not reach. CHAIN_DOCTRINE now teaches the
  precondition pattern (store the payload, trigger from every identity, escalate
  first if the trigger page needs a role you lack, else report as a chained
  lead). chain.rs: CWE-564 requires PrivilegedContext so it chains after privesc.

BENCHMARK.md: added the TypeSafe calibrated-adjudication row; dropped the
"genuinely ahead" prose (the table is the summary); condensed the rest
188 -> 89 lines; refreshed scale (27 validators, 47 modules, 383 tests).

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-20 12:42:36 -03:00
CyberSecurityUPandClaude Opus 5 40b047b9e7 feat(agents): 10 skills for techniques the catalogue was missing
Written against what disclosed bug-bounty reports and public write-ups actually
turn up, and chosen by diffing the existing 245 skills rather than restating
them. Each one is built around the same discipline the harness now enforces:
the client-side discovery is a lead, and the finding is what the SERVER did.

Browser instrumentation and client trust:
- browser_runtime_hooking — hook fetch/XHR/postMessage/storage/WebCrypto at
  document_start to find what the client is trusted to decide, then prove the
  server accepts the tampered value with an independent read-back.
- prototype_pollution_gadget_hunt — pollution is a precondition, not a finding.
  Hunt the gadget with a getter on Object.prototype that breaks into the
  debugger, quote it as file:line from the bundle, and prove the end effect.
- js_source_deep_analysis — recover original sources from source maps, extract
  the API surface the UI never shows, and pair every client-side discovery with
  the server request that confirms or refutes it.
- client_side_path_traversal — the evidence is which URL left the browser, and
  it is Low until chained to something otherwise unreachable.

Authentication:
- webauthn_passkey_downgrade — passkeys as a system: the usual finding is a
  weaker factor nobody removed, or enrollment needing only a session.
- email_verification_bypass — the gate is normally on the login screen, not the
  API; address normalisation is where pre-account-takeover lives.
- jwt_jku_x5u_injection — whether the token gets to choose its own verifier.

Server-side reach and money:
- ssrf_render_pipeline — PDF/screenshot/unfurl renderers browse on the server's
  behalf, usually with no egress restrictions and often with JS enabled; the
  returned document is the exfiltration channel.
- payment_webhook_forgery — prove the ORDER changed state, not that the
  endpoint returned 200; idempotency failures are their own finding.
- presigned_url_abuse — the bug is what the API is willing to SIGN, which is an
  IDOR with a cloud signature on top.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-09-14 00:57:45 -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
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 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 f2971b6630 train agent with bug-bounty techniques: methodology meta-agent + recon tricks
- New meta/bugbounty_methodology.md (library 398): distilled high-signal techniques
  from public writeups (HackerOne Hacktivity, KingOfBugBounty, Awesome-Bugbounty-
  Writeups, bug-bounty-reference, top hunters) — hunter mindset + per-class tricks
  (IDOR/BOLA, 403 bypass, account takeover, SSRF->cloud, business logic/race, cache
  poisoning, subdomain takeover, GraphQL), chaining and reporting.
- RECON_SYS gains KingOfBugBounty-style recon: subdomain enum (crt.sh/subfinder/
  amass->httpx), historical URLs (gau/waybackurls/katana), gf patterns, param mining
  (arjun+JS/wayback), content discovery (ffuf/feroxbuster), classic exposure checks
  (.git/.env/swagger/actuator, dangling CNAMEs). Degrades to installed tools.
- Docs: counts 397->398, RELEASE note.
2026-07-09 19:46:55 -03:00
CyberSecurityUP a50178ae71 agents: +8 EOL / end-of-support exploitation agents (library 397)
Detect components past their vendor end-of-life/end-of-support window and exploit
the accumulated, unpatched CVEs (pin exact version → check endoflife.date + CVE
feeds → safe PoC):
- vulns: eol_stack_detection, eol_runtime_exploitation, eol_framework_exploitation,
  eol_cms_exploitation, eol_client_library
- infra: eol_webserver_exploitation, eol_os_service, eol_tls_protocol
Docs: counts 389->397, RELEASE note.
2026-07-09 19:19:21 -03:00
CyberSecurityUP 39c28b541b decision-driven deep exploitation: DECISION doctrine, multi-role /auth, +6 agents
- 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.
2026-07-06 10:52:40 -03:00
CyberSecurityUP d931ce09a6 browser-driven testing doctrine + 8 SPA/API agents (Juice Shop-ready)
- 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.
2026-07-05 16:25:34 -03:00
CyberSecurityUP 5f1573ac7f misconfig/CVE/PoC/rate-limit agents, data-safety guardrail, Burp proxy, PoC dir
Agents (+10 → library 375): absurd-misconfig hunters (exposed .git/.env/backups,
debug/actuator, default creds, dir listing, ops dashboards, permissive CORS,
verbose errors), a CVE Hunter (fingerprint → correlate → safe PoC), a PoC
Developer (writes runnable scripts to the run's pocs/), and a Rate-Limit tester.

Doctrine (pipeline):
- SAFETY_DOCTRINE injected into every exploit/chain/host prompt: no modify/delete/
  exfiltrate/state-change without permission; on PII prove with a masked sample +
  count, never dump.
- tool_doctrine adds: smart targeted nuclei (fingerprint-first, -tags/-id, rate/
  timeouts), misconfig hunting, rate-limit control checks, authorized tool
  download (git clone PoC repos / fetch scanners), Burp/ZAP proxy routing, and a
  per-run PoC workspace.

Harness/CLI/REPL:
- RunConfig.proxy; spawn_engagement creates <workdir>/pocs and exports
  NEUROSPLOIT_POCS + NEUROSPLOIT_PROXY (proxy from cfg or the env var).
- REPL /proxy <url> and /burp (Session.proxy); /show shows proxy.

Docs: README highlights + Cloud/counts (375), RELEASE v3.5.5 sections.
2026-07-01 23:40:47 -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
Joas A Santos 489b3abd3f Merge pull request #31 from leebaird/main
Revise DNS reconnaissance methodology details.
2026-06-26 13:39:28 -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
Lee Baird 9d261b45e7 Revise DNS reconnaissance methodology details.
Updated methodology section for DNS reconnaissance.
2026-06-25 20:22:45 -05:00
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 639c2209f7 v3.5.1: attack-chain agents (12) + per-project .neurosploit/ persistence & resume
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>
2026-06-24 22:30:22 -03:00
CyberSecurityUPandClaude Opus 4.8 f8d70ce9c5 v3.5.1: infra/host engagements — IP + SSH/Windows-AD creds + Linux/Win/AD agents + REPL context bar
Infra:
- creds.yaml gains `ssh:` (host/port/user/password/key) and `windows:`/`ad:`
  (host/user/password/domain/ntlm-hash) blocks; multi-block YAML parser.
  host_instruction() tells agents how to authenticate to the host.
- 14 infra agents (agents_md/infra/): port/service scan, SMB enum, Linux privesc/
  sudo/cron/SSH, Windows privesc/SMB-signing/WinRM, AD kerberoast/asreproast/ACL/
  DCSync/default-creds. Loader gains `infra` category → 317 agents total.
- run_host pipeline + `neurosploit host <ip> --creds creds.yaml` (and Mode::Host
  in run_mode/TUI): host recon (nmap/netexec) → infra agent selection → test →
  validate → chain → report, with host tooling doctrine + supplied creds.

REPL:
- Context/status bar above the prompt: "model auth · cwd · mode▸target"
  (e.g. claude-opus-4-8 sub · /opt/projeto · black-box▸app.acme.com).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-24 22:17:14 -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 3ca3f269ee v3.4.x: intelligent agent selection, whitebox, recon/code agents, Gemini, artifacts, RL, XBOW GUI
Harness intelligence:
- After recon, the model SELECTS which specialist agents match the target
  (select_agents) — runs the relevant subset, not blindly top-N
- RL reward store (rl.rs): per-agent weights persist to data/rl_state_rs.json,
  reward validated findings (severity-weighted), decay idle, bias next run
- Run artifacts persisted as JSON + MD (recon, exploitation transcript,
  findings, html report) under runs/<target>-<ts>/ for reuse by other AIs

Whitebox mode:
- run_whitebox: walks a repo, builds bounded source context, runs code agents,
  validates by adversarial vote. CLI `whitebox <path>` + web "White-box" mode

Agents: +12 recon (subdomain/tech/js/api/secrets/dns/content/param/waf/cloud/
graphql/osint) and +24 code SAST reviewers (sqli/cmdi/path/ssrf/xss/deser/
secrets/crypto/authz/idor/xxe/redirect/ssti/race/eval/csrf/random/logging/
upload/mass-assign/jwt/cors). Loader gains recon/ + code/ categories → 249 total

Models: +Google Gemini provider (API + gemini CLI subscription); installed_cli_
backends now detects gemini; chat_cli handles gemini/codex/grok + optional
Playwright MCP (.mcp.json) on the subscription path with autonomy flags

GUI: full XBOW-style redesign — sidebar (Operate/Library), topbar status, mode
segment (black-box/white-box), model panel, live console, severity cards,
agent browser with category filters, models view; responsive + aligned

Verified: cargo build --release clean; CLI agents/whitebox; LIVE subscription
run shows model selecting 23→4 agents, RL update, artifacts written; GUI +
white-box toggle in Playwright.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-23 11:39:56 -03:00
CyberSecurityUPandClaude Opus 4.8 55af0d4634 NeuroSploit v3.3.0 — Autonomous MD-Agent Engine
Re-model the pentest agent into an autonomous, markdown-driven engine that
turns a URL into a full engagement and delegates execution to a locally
installed agentic CLI backend.

Engine (neurosploit_agent/ + ./neurosploit launcher):
- orchestrator composes ONE master prompt from the agent library + RL weights
- backends: auto-detect & drive Claude Code / Codex / Grok CLI (+ Claude
  subscription); headless, autonomous, isolated workdir
- mcp: Playwright MCP (.mcp.json) for browser-based proof-of-execution
- rl: bounded per-agent reinforcement-learning weights w/ per-tech affinity,
  persisted to data/rl_state.json
- models: latest registry incl. NVIDIA NIM provider (PR #28)
- cli: interactive URL prompt + one-shot `run`, `backends`, `agents`, --dry-run

Agent library (agents_md/, 213 total):
- 196 vuln specialists incl. modern LLM/AI, cloud/K8s, API/auth, advanced
  injection, protocol smuggling, logic/crypto/supply-chain classes
- 17 meta-agents: orchestrator, recon, exploit_validator,
  false_positive_filter, severity_assessor, impact_evaluator, reporter,
  rl_feedback + migrated expert roles
- scripts/build_agents.py data-driven builder; REGISTRY.md index

Docs: rewritten README.md, v3.3.0 RELEASE.md, .env.example (NVIDIA NIM, xAI,
engine vars).

Retire legacy Python orchestration (neurosploit.py + agent classes) to legacy/.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
2026-06-14 20:57:38 -03:00