SECurityTr8Ker : SEC Cybersecurity Disclosure Monitor

SECurityTr8Ker is a Python application designed to monitor the U.S. Securities and Exchange Commission’s (SEC) RSS feed for new 8-K filings that contain material cybersecurity incident disclosures.

This tool is particularly useful for cybersecurity analysts, financial professionals, and researchers interested in real-time alerts of cybersecurity incidents disclosed by publicly traded companies.

Features

• Real-time Monitoring: Continuously monitors the SEC’s RSS feed for new 8-K filings
• Intelligent Detection:
  • Searches for Item 1.05 (Material Cybersecurity Incidents) disclosures
  • Identifies cybersecurity-related keywords and context
  • Prevents duplicate notifications
• Multi-channel Notifications:
  • Slack
  • Microsoft Teams
  • Telegram
  • Twitter
  • Console logging (always enabled)
• Rich Information:
  • Company name and CIK number
  • Stock ticker symbol (with Google Finance link)
  • Direct link to SEC filing
  • Filing date and context
  • Matching keywords found
• Persistent Storage: Maintains a record of all processed disclosures in JSON format

How It Works

1. RSS Feed Monitoring:
   • Fetches the SEC’s RSS feed for 8-K filings
   • Processes each filing to extract relevant information
   • Respects SEC’s rate limiting guidelines
2. Disclosure Detection:
   • Checks for “Item 1.05” material cybersecurity incident disclosures
   • Searches for cybersecurity-related keywords (e.g., “unauthorized access”, “cyber-attack”)
   • Extracts relevant context around matches
3. Notification Distribution:
   • Sends alerts through configured notification channels
   • Includes direct links to SEC filings and company information
   • Prevents duplicate notifications
4. Data Management:
   • Stores processed disclosures in disclosures.json
   • Maintains detailed logs for troubleshooting
   • Prevents duplicate processing of filings

Setup And Configuration

Clone the Repository:

git clone https://github.com/pancak3lullz/SECurityTr8Ker.git
cd SECurityTr8Ker

Install Dependencies:

pip install -r requirements.txt

Configure Environment:

# Copy the example environment file
cp .env.example .env

For more information click here.