performing-phishing-simulation-with-gophish

mukul975/Anthropic-Cybersecurity-Skills · updated May 25, 2026

MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-phishing-simulation-with-gophish
0 commentsdiscussion
summary

GoPhish is an open-source phishing simulation framework used by security teams to conduct authorized phishing awareness campaigns. It provides campaign management, email template creation, landing pag

skill.md
name
performing-phishing-simulation-with-gophish
description
GoPhish is an open-source phishing simulation framework used by security teams to conduct authorized phishing awareness campaigns. It provides campaign management, email template creation, landing pag
domain
cybersecurity
subdomain
phishing-defense
tags
- phishing - email-security - social-engineering - dmarc - awareness - gophish - simulation
version
'1.0'
author
mahipal
license
Apache-2.0
nist_csf
- PR.AT-01 - DE.CM-09 - RS.CO-02 - DE.AE-02

Performing Phishing Simulation with GoPhish

Overview

GoPhish is an open-source phishing simulation framework used by security teams to conduct authorized phishing awareness campaigns. It provides campaign management, email template creation, landing page cloning, and comprehensive reporting. This skill covers deploying GoPhish, creating realistic phishing scenarios, and analyzing campaign results to measure and improve organizational resilience.

When to Use

  • When conducting security assessments that involve performing phishing simulation with gophish
  • When following incident response procedures for related security events
  • When performing scheduled security testing or auditing activities
  • When validating security controls through hands-on testing

Prerequisites

  • GoPhish binary or Docker image (https://github.com/gophish/gophish)
  • SMTP server or relay for sending test emails
  • Written authorization from management for phishing simulation
  • Target email list (HR-approved)
  • SSL/TLS certificate for landing pages
  • Python 3.8+ for automation scripts

Key Concepts

GoPhish Architecture

  • Admin Panel: Web UI for campaign management (default port 3333)
  • Phishing Server: Serves landing pages and tracks clicks (default port 80/443)
  • SMTP Configuration: Outbound email sending profile
  • Campaign Engine: Orchestrates email delivery, tracking, and reporting

Campaign Components

  1. Sending Profile: SMTP server configuration for outbound email
  2. Email Template: The phishing email content with tracking
  3. Landing Page: The fake page users are directed to
  4. User Group: Target recipients for the campaign
  5. Campaign: Combines all components with scheduling

Workflow

Step 1: Deploy GoPhish

# Docker deployment
docker pull gophish/gophish
docker run -d --name gophish -p 3333:3333 -p 8080:80 gophish/gophish

# Or binary deployment
wget https://github.com/gophish/gophish/releases/latest/download/gophish-v0.12.1-linux-64bit.zip
unzip gophish-v0.12.1-linux-64bit.zip
chmod +x gophish
./gophish

Step 2: Configure Sending Profile

  • Name: "Internal Mail Server"
  • SMTP From: [email protected]
  • Host: smtp.yourdomain.com:587
  • Username/Password: Service account credentials
  • Enable TLS

Step 3: Create Email Template

  • Use realistic scenarios: password reset, IT notification, HR update
  • Include GoPhish tracking pixel: {{.Tracker}}
  • Include phishing link: {{.URL}}
  • Personalize with {{.FirstName}}, {{.LastName}}, {{.Position}}

Step 4: Create Landing Page

  • Clone legitimate login page using GoPhish's import feature
  • Enable credential capture (for authorized testing only)
  • Configure redirect to training page after submission
  • Add SSL certificate for HTTPS

Step 5: Import Users and Launch Campaign

  • Import CSV with: First Name, Last Name, Email, Position
  • Set campaign schedule (stagger sends to avoid detection)
  • Launch and monitor in real-time

Step 6: Analyze Results with process.py

Use the automation script to pull campaign data via GoPhish API and generate detailed analytics reports.

Tools & Resources

Validation

  • Successfully deploy GoPhish and access admin panel
  • Create and send a test phishing email to a test mailbox
  • Capture simulated credentials on landing page
  • Generate campaign report with open/click/submit rates
  • Redirect users to awareness training after interaction
how to use performing-phishing-simulation-with-gophish

How to use performing-phishing-simulation-with-gophish on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add performing-phishing-simulation-with-gophish
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills install mukul975/Anthropic-Cybersecurity-Skills/performing-phishing-simulation-with-gophish

The skills CLI fetches performing-phishing-simulation-with-gophish from GitHub repository mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/performing-phishing-simulation-with-gophish

Reload or restart Cursor to activate performing-phishing-simulation-with-gophish. Access the skill through slash commands (e.g., /performing-phishing-simulation-with-gophish) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.751 reviews
  • Ganesh Mohane· Dec 28, 2024

    Solid pick for teams standardizing on skills: performing-phishing-simulation-with-gophish is focused, and the summary matches what you get after install.

  • Soo Kapoor· Dec 24, 2024

    performing-phishing-simulation-with-gophish reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Soo Jain· Dec 24, 2024

    performing-phishing-simulation-with-gophish is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Arya Patel· Dec 20, 2024

    performing-phishing-simulation-with-gophish has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Maya Iyer· Dec 16, 2024

    Useful defaults in performing-phishing-simulation-with-gophish — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Yash Thakker· Nov 27, 2024

    performing-phishing-simulation-with-gophish is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Sakshi Patil· Nov 19, 2024

    We added performing-phishing-simulation-with-gophish from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Kiara Ndlovu· Nov 15, 2024

    I recommend performing-phishing-simulation-with-gophish for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Benjamin Tandon· Nov 11, 2024

    performing-phishing-simulation-with-gophish fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Maya Abbas· Nov 7, 2024

    Registry listing for performing-phishing-simulation-with-gophish matched our evaluation — installs cleanly and behaves as described in the markdown.

showing 1-10 of 51

1 / 6