external/anthropic-cybersecurity-skills/skills/executing-phishing-simulation-campaign/SKILL.md
Executes authorized phishing simulation campaigns to assess an organization's susceptibility to email-based social engineering attacks. The tester designs realistic phishing scenarios, builds credential harvesting infrastructure, sends targeted phishing emails, and tracks open rates, click-through rates, and credential submission rates to measure human security awareness. Activates for requests involving phishing simulation, social engineering assessment, email security testing, or security awareness measurement.
npx skillsauth add seikaikyo/dash-skills executing-phishing-simulation-campaignInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Do not use without explicit written authorization from the organization's leadership, for actual credential theft beyond the authorized scope, for targeting individuals personally rather than professionally, or for sending phishing emails that could cause psychological harm or legal liability.
Design realistic phishing scenarios based on threats relevant to the target organization:
Configure the phishing infrastructure:
target-corp.com, targetcorp-portal.com, targetsupport.netLaunch the phishing campaign:
Process captured credentials to demonstrate impact (if authorized):
Analyze campaign results and produce the assessment report:
| Term | Definition | |------|------------| | Pretext | The fabricated scenario and social context used to persuade the target to take a desired action such as clicking a link or entering credentials | | Credential Harvesting | Collecting usernames and passwords through fake login pages that mimic legitimate services | | GoPhish | Open-source phishing simulation platform that manages email templates, landing pages, target groups, and campaign tracking | | Spear Phishing | Targeted phishing directed at specific individuals using personalized information gathered through reconnaissance | | Typosquatting | Registering domains that are visually similar to legitimate domains through character substitution, addition, or omission | | Security Awareness | Training programs designed to educate employees about social engineering threats and proper reporting procedures | | DMARC | Domain-based Message Authentication, Reporting, and Conformance; email authentication protocol that prevents unauthorized use of a domain for sending email |
Context: A 2,000-employee company has never conducted a phishing simulation. The CISO wants to establish a baseline susceptibility rate before deploying a new security awareness training program. The campaign should test all employees using a realistic but not overly sophisticated pretext.
Approach:
m365-targetcorp.com, set up GoPhish, and build a landing page cloning the Microsoft 365 login portalPitfalls:
## Phishing Simulation Campaign Report
**Campaign Name**: Q4 2025 Baseline Phishing Assessment
**Pretext**: Microsoft 365 Password Expiration Notice
**Campaign Duration**: November 15-18, 2025
**Target Population**: 2,000 employees (all departments)
### Campaign Metrics
| Metric | Count | Rate |
|--------|-------|------|
| Emails Sent | 2,000 | 100% |
| Emails Delivered | 1,847 | 92.4% |
| Emails Opened | 1,243 | 67.3% |
| Links Clicked | 487 | 26.4% |
| Credentials Submitted | 312 | 16.9% |
| Reported to IT | 23 | 1.2% |
### Department Breakdown
| Department | Employees | Clicked | Submitted | Reported |
|------------|-----------|---------|-----------|----------|
| Finance | 120 | 38.3% | 28.3% | 0.8% |
| Marketing | 85 | 35.3% | 24.7% | 1.2% |
| Engineering| 300 | 15.0% | 8.3% | 3.7% |
| IT | 45 | 8.9% | 4.4% | 11.1% |
### Key Findings
1. Baseline credential submission rate of 16.9% exceeds industry average (12%)
2. Report rate of 1.2% indicates employees are not trained to report suspicious emails
3. Finance department is the highest-risk group with 28.3% credential submission rate
4. Email security gateway did not flag the phishing domain despite being registered 48 hours prior
### Recommendations
1. Deploy mandatory security awareness training with emphasis on phishing identification
2. Install a phishing report button in email clients and train all employees on its use
3. Implement DMARC enforcement (p=reject) and enhanced email filtering rules
4. Conduct targeted training for Finance and Marketing departments
5. Schedule quarterly phishing simulations to track improvement
tools
Conduct comprehensive GDPR compliance assessments by evaluating data processing activities against EU Regulation 2016/679, including Article 30 records of processing, lawful basis validation, data subject rights implementation, Data Protection Impact Assessments (DPIAs) under Article 35, breach notification procedures, international transfer safeguards (SCCs, adequacy decisions), and technical/organizational measures under Article 32. Use when processing personal data of EU residents, preparing for supervisory authority audits, implementing privacy-by-design for new systems, scoping compliance gaps for M&A due diligence, assessing third-party processors, or responding to data subject access requests at scale. Incorporates 2026 guidance from ICO, EDPB, and post-Data (Use and Access) Act 2025 UK-GDPR considerations. Do not use for implementing specific Article 32 controls — use implementing-gdpr-data-protection-controls; or for DSAR automation — use implementing-gdpr-data-subject-access-request.
tools
Parse Windows forensic artifacts—$MFT/$J (MFTECmd), Prefetch (PECmd), registry hives (RECmd), shellbags, and Amcache—into normalized CSV/JSON with Eric Zimmerman's EZ Tools, then load results into Timeline Explorer for analysis. Use during DFIR/incident-response investigations, after triage collection (e.g. with KAPE), to establish program execution, file/folder access, and persistence evidence from acquired forensic images.
development
Build automated multi-turn adversarial attacks against conversational LLM targets using Microsoft PyRIT's RedTeamingOrchestrator, CrescendoOrchestrator (gradual escalation), and TreeOfAttacksWithPruningOrchestrator (adaptive branching), with scorer feedback loops and persisted conversation memory. Use when single-shot LLM scanning is insufficient and you need multi-turn, scorer-driven AI red-team campaigns against a chatbot or agent.
testing
Stand up MISP, enable and cache curated threat feeds (CIRCL, abuse.ch, Feodo Tracker), apply warninglists to suppress false positives, query indicators with PyMISP, and export attributes as auto-generated Suricata/Sigma/Wazuh detection rules. Use when maturing a MISP instance to actively drive detection, curating threat feeds with quality controls, or automating IOC-to-detection pipelines for the SIEM/IDS.