Phishing Email Detector
Analyze incoming emails for phishing indicators including suspicious URLs, impersonation attempts, and social engineering patterns.
Estimated Time
2 minutes
Popularity
91/100
Difficulty
intermediate
Industry
Cybersecurity
Prerequisites
- Working knowledge of AI/ML fundamentals
- Experience with at least one programming language (Python, JavaScript, etc.)
- Familiarity with API integration patterns
- Basic understanding of data formats (JSON, CSV)
Implementation Guide
- 1
Set Up Your Environment
Choose your preferred integration method (api, webhook, plugin) and set up API credentials for your selected AI model.
- 2
Prepare Input Data
This skill accepts text, data as input. Ensure your data is properly formatted and validated before processing.
- 3
Configure the AI Model
Select from supported models: OpenAI GPT-4, Anthropic Claude. Configure parameters like temperature, max tokens, and system prompts for optimal results.
- 4
Implement the Core Logic
Build the processing pipeline to send text/data data to the AI model and handle the analysis/data response.
- 5
Handle Output & Post-Processing
Process the analysis, data output. Apply validation, formatting, and any domain-specific post-processing rules.
- 6
Test & Validate
Test with representative data covering edge cases. Validate outputs against expected results for your email security use cases.
- 7
Deploy & Monitor
Deploy to production with proper monitoring, logging, and alerting. Track accuracy, latency, and usage metrics over time.
AI Models & Recommendations
Strong general-purpose capabilities with broad knowledge and reasoning.
Excellent for complex reasoning, long-context analysis, and safety-critical applications.
Integration Methods
RESTful API — send HTTP requests to integrate this skill into any application or service.
Webhook — receive real-time event-driven notifications and trigger automated actions.
Plugin — install as a plug-and-play extension in supported platforms.
Input & Output Types
Input
Output
Example Prompt
You are an AI assistant specialized in Email Security for the cybersecurity industry. Analyze incoming emails for phishing indicators including suspicious URLs, impersonation attempts, and social engineering patterns.
Analyze the following text and provide a detailed analysis.
Consider these use cases:
- Inbound email filtering
- Spear phishing detection
- Employee phishing report analysis
Provide your response in a structured format with clear sections and actionable insights.Estimated Cost
Low to moderate cost — text-based processing typically costs $0.001–$0.03 per request depending on input length and model.
Best Practices
- Implement proper error handling and retry logic for API calls.
- Cache frequent responses to reduce latency and API costs.
- Monitor usage metrics to optimize performance over time.
- Test with diverse input data to ensure robust behavior.
Use Cases
- Inbound email filtering
- Spear phishing detection
- Employee phishing report analysis
Tags
Embed This Skill
Copy the code below to embed this skill card on your website.
<!-- AI Skills Hub - Phishing Email Detector -->
<div style="border:1px solid #e5e7eb;border-radius:12px;padding:20px;max-width:400px;font-family:-apple-system,BlinkMacSystemFont,'Segoe UI',Roboto,sans-serif;background:#fff;">
<div style="display:flex;align-items:center;gap:8px;margin-bottom:12px;">
<span style="background:#eab308;color:#fff;padding:2px 10px;border-radius:999px;font-size:12px;font-weight:600;text-transform:capitalize;">intermediate</span>
<span style="background:#f3f4f6;padding:2px 10px;border-radius:6px;font-size:12px;color:#4b5563;">Cybersecurity</span>
</div>
<a href="https://aiskillhub.info/skill/cybersecurity-phishing-detector" target="_blank" rel="noopener" style="text-decoration:none;">
<h3 style="margin:0 0 8px;font-size:18px;font-weight:700;color:#111827;">Phishing Email Detector</h3>
</a>
<p style="margin:0 0 12px;font-size:14px;color:#6b7280;line-height:1.5;">Analyze incoming emails for phishing indicators including suspicious URLs, impersonation attempts, and social engineering patterns.</p>
<div style="display:flex;align-items:center;justify-content:space-between;font-size:12px;color:#9ca3af;">
<span>Email Security</span>
<span>2 minutes</span>
</div>
<a href="https://aiskillhub.info/skill/cybersecurity-phishing-detector" target="_blank" rel="noopener" style="display:inline-block;margin-top:12px;padding:6px 16px;background:#4f46e5;color:#fff;border-radius:8px;font-size:13px;font-weight:500;text-decoration:none;">View on AI Skills Hub →</a>
</div><!-- AI Skills Hub - Embed via iframe -->
<iframe
src="https://aiskillhub.info/skill/cybersecurity-phishing-detector"
width="100%"
height="800"
style="border:none;border-radius:12px;"
title="Phishing Email Detector - AI Skills Hub"
></iframe>Related Skills
View all in CybersecurityAI Threat Detection System
advancedDetect advanced persistent threats, zero-day exploits, and suspicious network behavior using AI-powered behavioral analysis and pattern recognition.
AI Vulnerability Assessment
intermediateScan infrastructure and applications for vulnerabilities, prioritize by exploitability and business impact, and generate remediation plans.
Incident Response Automator
advancedAutomate incident response workflows including alert triage, containment actions, evidence collection, and stakeholder notifications.
Identity & Access Analyzer
intermediateReview IAM policies, detect overly permissive access, and recommend least-privilege configurations across cloud and on-premise environments.
Threat Intelligence Aggregator
advancedAggregate and correlate threat intelligence from multiple feeds, dark web monitoring, and OSINT sources to produce actionable briefings.
Cloud Security Posture Manager
intermediateContinuously assess cloud configurations against CIS benchmarks and best practices to identify misconfigurations and compliance gaps.