Commit Graph
5 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
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
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 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