detecting-business-email-compromise
Helps your agent identify corporate fraud emails (BEC). It detects when someone impersonates an executive or vendor.
What it does
This tool helps identify and prevent email fraud where criminals impersonate bosses or vendors to trick employees into sending money or data. It uses email rules, behavior analysis, and financial controls to detect these attempts.
When to use it
- ✓When investigating a suspicious fraud email.
- ✓When creating rules to detect fraudulent emails.
- ✓When analyzing how to protect money transfers.
Example of what to ask your AI
“Check if this email from a supposed vendor asking to change payment details is a scam.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
The tool works by setting up rules in your email system to spot suspicious patterns, like urgent requests or unusual payment detail changes. It also monitors normal email behavior for deviations and suggests financial controls to prevent unauthorized transfers.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-business-email-compromiseOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/detecting-business-email-compromise/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
Detecting Business Email Compromise
Overview
Business Email Compromise (BEC) is a sophisticated fraud scheme where attackers impersonate executives, vendors, or trusted partners to trick employees into transferring funds, sharing sensitive data, or changing payment details. Unlike traditional phishing, BEC often contains no malicious links or attachments, relying purely on social engineering. This skill covers detection techniques using email gateway rules, behavioral analytics, and financial process controls.
When to Use
- When investigating security incidents that require detecting business email compromise
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Email security gateway with BEC detection capabilities
- Understanding of organizational financial processes and approval chains
- Access to email logs and SIEM platform
- Knowledge of social engineering tactics
Key Concepts
BEC Attack Types (FBI IC3 Classification)
- CEO Fraud: Attacker impersonates CEO, requests urgent wire transfer
- Account Compromise: Employee email compromised, used to request payments from vendors
- False Invoice Scheme: Fake invoices from "vendor" with changed bank details
- Attorney Impersonation: Impersonates legal counsel for urgent confidential transfers
- Data Theft: Requests W-2, tax forms, or PII from HR
Detection Indicators
- Urgency and secrecy language ("confidential", "do not discuss with others")
- New or changed payment instructions
- Executive communication outside normal patterns
- Display name matches executive but email domain differs
- Reply-to address differs from From address
- First-time communication pattern between sender and recipient
- Request for gift cards or cryptocurrency
Workflow
Step 1: Configure BEC-Specific Email Rules
- Flag emails with VIP display names from external domains
- Detect financial keywords combined with urgency language
- Alert on first-time sender to finance/accounting staff
- Check for Reply-To domain mismatch
Step 2: Deploy Behavioral Analytics
- Baseline normal communication patterns per user
- Detect anomalous requests (unusual recipient, unusual time, unusual request type)
- Monitor for email forwarding rule changes (T1114.003)
Step 3: Implement Financial Controls
- Dual-authorization for wire transfers above threshold
- Out-of-band verification for payment detail changes (phone callback)
- Vendor payment change verification process
- Finance team training on BEC red flags
Step 4: Monitor for Account Compromise
- Detect impossible travel in email login locations
- Alert on email forwarding rule creation
- Monitor for mailbox delegation changes
- Check for inbox rules hiding BEC-related emails
Tools & Resources
- Microsoft Defender for O365 Anti-BEC: Built-in BEC detection
- Proofpoint Email Fraud Defense: BEC-specific solution
- Abnormal Security: AI-driven BEC detection
- FBI IC3 BEC Advisory: https://www.ic3.gov/
- FinCEN BEC Advisory: Financial institution guidance
Validation
- BEC detection rules trigger on test scenarios
- Financial controls prevent unauthorized transfers in drills
- Account compromise detection catches simulated attacks
- Reduced BEC susceptibility in awareness assessments
FAQ
What is BEC fraud?
BEC stands for 'Business Email Compromise'. It's a type of fraud where criminals pretend to be trusted individuals (like your boss or a vendor) to trick employees.
Why is BEC dangerous if it has no links or attachments?
BEC is dangerous because it uses social engineering, manipulating people through convincing conversations without needing malicious links. Trust is its main weapon.
What are common types of BEC fraud?
Types include CEO fraud (the boss asks for money), account compromise (an employee's email is hacked), fake invoices, and requests for confidential information or tax data.
Details
Original description by the author
Detect Business Email Compromise (BEC) fraud, where attackers impersonate executives or vendors to trick employees into wire transfers or data disclosure without malicious links, using email gateway rules, behavioral analytics, and financial process controls. Use when investigating a suspected executive/vendor impersonation email or building detection rules for social-engineering fund-transfer fra
Popularity
- GitHub stars
- 35k
- Ranking position
- #5645
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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