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by shingo imotasimota/agent-skills85 stars
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Designing red team attack scenarios, threat models, MITRE ATT&CK/OWASP application, Purple Team exercises, and AI/LLM red teaming. Use when adversarial security validation is needed.

Use this Skill: https://skilld.dev/gh/simota/agent-skills/breach

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referencephishing-campaign-design.md

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Phishing Campaign Design Reference

Purpose: Design an authorized phishing campaign that measures real organizational susceptibility, exercises the detection and reporting loop, and produces awareness-training input — without exposing participants, infrastructure, or brand trust. Every campaign is scoped, time-boxed, and tied to a learning outcome, not a gotcha score.

Scope Boundary

  • Breach phishing: authorized campaign design — pretexts, landing-page clones, credential-launch vs session-token flows, MFA-fatigue, QR-phishing (quishing), OAuth consent-phishing, SPF/DKIM/DMARC evasion techniques, reporting and feedback loops.
  • Sentinel (elsewhere): static security analysis of code paths that handle inbound email or user submissions. No campaign design.
  • Probe (elsewhere): DAST / penetration testing of the landing-page infrastructure itself. Not the social pretext.
  • Vigil (elsewhere): authoring the Sigma / YARA / email-header detection rules that flag the campaign artifacts. Campaign feeds Vigil — Vigil does not run the campaign.
  • Canon[regulatory] (elsewhere): regulatory mapping (GDPR breach-notification readiness, PCI phishing controls, SOC 2 awareness-training evidence).
  • Triage (elsewhere): post-incident response playbook when a real (not simulated) phish lands.

If the question is "does our workforce click, report, or escalate?" → phishing. If it is "do our email-security controls catch this payload?" → hand the campaign artifacts to Vigil and Probe.

Campaign Patterns

Pattern Pretext shape Primary goal Key risk if misused
Credential launch Password-reset / shared-doc / HR portal Measure click + credential-submit rate Real creds leaked to test infra — use one-way hash + instant revoke
Session-token theft OAuth consent / device-code grant Validate session-binding, MFA trust Token persistence beyond test window
MFA fatigue / push-bombing Repeated push prompts + voice pretext Measure push-accept rate under pressure Locking real accounts — rate-limit and pre-notify IT
Quishing (QR) Printed QR / email-embedded QR Measure mobile out-of-band susceptibility QR on shared media — scope to controlled distribution
OAuth consent-phishing Third-party app consent screen Measure consent-scope review behavior Real OAuth app registered — revoke within 24h
Clone landing High-fidelity SSO / vendor login replica Measure visual-cue + URL inspection Brand misuse — keep on *-training.<corp> subdomain

Pick one pattern per campaign wave. Stacking patterns muddies the learning signal.

Workflow

SCOPE        → define population, exclusion list (exec/IT/HR opt-ins),
               time window, rules of engagement, legal/HR sign-off
             → declare learning outcome (click / submit / report / escalate rate)
             → pick one pattern (credential / token / MFA / quishing / OAuth / clone)

PRETEXT      → craft narrative grounded in real internal context
             → source list from OSINT-safe patterns, never exfiltrated data
             → draft subject / sender / body / CTA with a failure-mode review

INFRA        → stand up sending domain with SPF+DKIM+DMARC aligned
             → landing on isolated subdomain, TLS, WAF, one-way cred hashing
             → instrument: open, click, submit, report, reauth flag

LAUNCH       → staged rollout (canary 5% → 25% → 100%) with kill-switch
             → monitor helpdesk volume, brand-abuse alerts, user distress signals

DEBRIEF      → same-day teachable-moment landing for clicked users
             → aggregate metrics: click %, submit %, report %, MTTR (time-to-report)
             → hand off rule artifacts to Vigil, training gaps to HR awareness

SPF / DKIM / DMARC Evasion Techniques (Test Targets)

Campaigns probe these misconfigurations — the goal is to confirm the defender catches them, not to weaponize them.

Technique What it tests Expected defender signal
Cousin domain (c0rp.com vs corp.com) Typosquatting detection at MX Inbound policy block + user header inspection
Display-name spoof Visible "CEO Name" with foreign return-path Banner injection, display-name rewrite
Lookalike-punycode (córp.com) IDN homograph rendering Strip or flag punycode at gateway
DMARC p=none relaxed alignment Policy-gap exploitation Alert on DMARC fail with aligned SPF
Header injection via reply-to Hidden redirect of replies Reply-to header validation
Shared-infra bypass (marketing-SaaS) Authorized sender co-tenancy abuse Subdomain-scoped DMARC sp=reject

Document each probe with expected detection gap → Vigil converts to detection rules.

Reporting and Feedback Loop

A campaign without a report button is a test of clicks, not of culture.

  • One-click "Report phish" must exist in the mail client (Outlook/Gmail add-in, keyboard shortcut, or dedicated alias).
  • Report-rate is a leading indicator — track alongside click-rate.
  • Mean-time-to-first-report (MTTR-FR) measures how fast the org notices — aim < 10 minutes for a standard-difficulty pretext.
  • Suppress duplicate-report fatigue: auto-ack reporters, collapse by campaign-id in the SOC view.
  • Close the loop: publish anonymized campaign stats to the org within 5 business days — silence kills the program.

Awareness-Training Integration

  • Clicked users see a teachable moment page (not a shaming page) — highlight the 2 cues they could have caught.
  • Bucketed follow-up: first-click = self-serve micro-lesson; repeat-click = assigned module; 3+ clicks = manager-notified coaching.
  • Avoid leaderboards or public click-shaming — they suppress reporting.
  • Role-based curricula: finance (BEC and invoice-redirect pretexts), engineering (OAuth consent, package-registry), exec (voice + deepfake pretexts), HR (candidate-resume malware).

Anti-Patterns

  • Pretexts using real leaked data ("your password is X") — turns a test into a harassment incident.
  • No exclusion list — a CEO click becomes a leak, not a learning signal.
  • Real credentials captured in plaintext — hash one-way at submit, never store.
  • No kill-switch — unable to halt the campaign during a real incident overlap.
  • Reusing the same pretext quarter after quarter — the population trains to that one pattern and susceptibility looks falsely resolved.
  • Publishing click-rate without report-rate — optimizes the program toward harder pretexts instead of faster detection.
  • Skipping the debrief landing page — leaves users feeling tricked, not taught.
  • Running on the production SSO domain — users who "caught it" by URL lose their only reliable cue.
  • Ignoring quishing and OAuth consent as exotic — mobile-QR campaigns show 3-4x click-rates vs desktop email in recent sector reports.
  • Treating the SOC as a separate audience — SOC must run the campaign as a drill; silent-campaigns miss the detection-engineering feedback.

Handoff / Next Steps

  • To Vigil: campaign artifacts (sending-domain patterns, landing-page fingerprints, header anomalies, timing indicators) for Sigma / detection-rule authoring.
  • To Canon[regulatory]: evidence package for SOC 2 CC2.2 / PCI 12.6.3 awareness-training controls and GDPR breach-simulation logs.
  • To Triage: the exact campaign timeline, kill-switch status, and indicator list so real-phish reports during the window can be disambiguated from the test.
  • To Sentinel: if the campaign revealed an email-handling or link-preview code path that auto-renders untrusted content — hand off for static review.
  • To Scribe: final campaign report (scope, outcome, metrics, trend vs prior waves) with anonymized participant data.
  • Journal novel pretexts and defender gaps in .agents/breach.md for future-wave calibration.

Source: SKILL.md on GitHub

No alerts13d4 checks · Risk SAFE
  • Gen Agent Trust Hub13d

    The skill is a comprehensive security tool designed for red teaming, threat modeling, and adversarial simulation. It contains various examples of malicious patterns (such as prompt injections and social engineering pretexts) but these are explicitly presented as educational reference material and test cases for security professionals. No functional malicious code, unauthorized data access, or hidden exfiltration mechanisms were identified.

  • Socket13d

    No alerts

  • Snyk13d

    Risk: LOW · No issues

  • ZeroLeaks5mo

    Score: 93/100 · 2 sections analyzed

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