idmycve - Advanced CVE Search and Reporting Tool

Table of Contents

• About
• Features
• Installation
• Usage
  • Command-Line Interface (CLI)
  • Interactive Mode
• Configuration
• Output Formats
• Custom Templates
• Performance Optimizations
• Contributing
• License

About

idmycve is a powerful and versatile command-line tool designed for efficient searching, filtering, and reporting of Common Vulnerabilities and Exposures (CVEs) from the National Vulnerability Database (NVD). It integrates with various external data sources like EPSS and Exploit-DB to provide a comprehensive overview of vulnerabilities. Built with a focus on speed and user experience, idmycve offers flexible input options, multiple output formats, and customizable reporting to streamline your vulnerability management workflows.

Features

• Comprehensive CVE Data: Fetches on-demand CVE ID, Description, Affected Products/Versions, CVSS Score (v3.1 and v2.0), CVSS Vector (v3.1 and v2.0), CWE IDs, Last Modified Date, Source Identifier, References, and Publication Date.
• EPSS Integration: Retrieves and displays Exploit Prediction Scoring System (EPSS) scores and percentiles to prioritize vulnerabilities based on exploitability likelihood.
• Exploit Availability: Checks Exploit-DB for known public exploits, providing direct links when available.
• Vulnerability Lifecycle Metrics: Calculates and presents derived metrics such as the age of the vulnerability, days since its last modification, and days between its publication and last modification.
• Flexible Input Options:
  • Search for recent CVEs within a specified number of days.
  • Query specific CVE IDs provided directly as space-separated arguments.
  • Load CVE IDs from various file formats: plain text (.txt), Excel spreadsheets (.xlsx), JSON files (.json), and XML files (.xml).
• Granular Filtering:
  • Filter CVEs by severity level: Critical (c), High (h), Medium (m), Low (l).
  • Apply precise filters based on Common Platform Enumeration (CPE) patterns (e.g., apache:http_server, microsoft:windows:10).
  • Filter by a minimum EPSS score (0.0 to 1.0).
  • Filter to show only CVEs with known exploits available.
• Multiple Output Formats: Generate reports in Markdown, JSON, HTML, plain text, CSV, XLSX, and XML formats.
• Customizable Output Templates: Utilize Jinja2 templates to create highly tailored and branded reports.
• Interactive Mode: A user-friendly, prompt-based interface for guided searches and report generation.
• Configuration Management: Supports config.ini for API keys and default search parameters, with an option to generate a sample configuration file.
• Performance Optimizations:
  • Batch EPSS API Calls: Reduces HTTP requests by querying multiple EPSS scores in a single batch.
  • Batch cve_searchsploit Calls: Minimizes subprocess overhead by checking exploit availability for multiple CVEs in one go.
  • Parallel Processing for API Calls: Leverages concurrent.futures.ThreadPoolExecutor to fetch CVE details concurrently, significantly speeding up operations.
  • Exponential Backoff for NVD API: Enhances robustness and reliability by automatically retrying failed NVD API requests with increasing delays.
• Enhanced User Experience:
  • Colorized Severity Indicators: Visually distinguishes severity levels in console and markdown outputs:
    • CRITICAL: Bold Red
    • HIGH: Bold Magenta
    • MEDIUM: Bold Yellow
    • LOW: Bold Green
    • NONE/N/A: Bold Cyan
  • Dynamic Console Output: Features a randomly colored ASCII banner and clear, informative messages.

Installation

PyPI Installation

You can install idmycve directly from PyPI using pip:

pip install idmycve

Development Installation (From Source)

1. Clone the repository:

   git clone https://github.com/ghostescript/idmycve
   cd idmycve
   

2. Create and activate a virtual environment:

   python3 -m venv .venv
   source .venv/bin/activate
   

3. Install dependencies:

   pip install -e .
   

   Note: The -e . flag installs the package in editable mode, which is useful for development.

4. Install cve_searchsploit (optional, for exploit availability checks): idmycve integrates with cve_searchsploit for exploit availability. If you don't have it, you can install it via pip:

   pip install cve-searchsploit
   

   Note: Ensure cve_searchsploit is accessible in your PATH or virtual environment.

Usage

Command-Line Interface (CLI)

python3 idmycve.py --help

Example Commands:

• Search for recent high-severity CVEs from the last 7 days:

  python3 idmycve.py -d 7 -s h
  

• Get details for specific CVEs and save as a JSON report:

  python3 idmycve.py -i CVE-2024-24919 CVE-2021-44228 -r my_cve_report.json
  

• Filter CVEs by CPE (e.g., Apache Log4j):

  python3 idmycve.py -i CVE-2021-44228 --cpe-filter "apache:log4j" -r log4j_cpe_report.md
  

• Generate a report using a custom Jinja2 template:

  python3 idmycve.py -d 14 --template my_custom_template.j2 -r custom_report.txt
  

• Generate a sample configuration file:

  python3 idmycve.py --generate-config
  

• Generate a sample Jinja2 template file:

  python3 idmycve.py --generate-template my_custom_template.j2
  

Interactive Mode

Run the script without any arguments to enter interactive mode:

python3 idmycve.py

Follow the on-screen prompts to perform searches, apply filters, and generate reports.

Configuration

idmycve can use a config.ini file for API keys and default settings. A sample file can be generated using --generate-config.

Example config.ini:

[NVD]
api_key = YOUR_NVD_API_KEY_HERE

[DefaultSearch]
days_ago = 7
severity =
count =

[Output]
default_format = md

Output Formats

Supported output formats include:

• Markdown (.md)
• JSON (.json)
• HTML (.html)
• Plain Text (.txt)
• CSV (.csv)
• Excel (.xlsx)
• XML (.xml)

Custom Templates

You can provide your own Jinja2 template file using the --template argument. The template will receive a cves variable, which is a list of dictionaries, each representing an extracted CVE with all its details and calculated lifecycle metrics.

Performance Optimizations

The tool incorporates several optimizations to ensure speed without compromising accuracy:

• Batch EPSS API Calls: Multiple EPSS scores are fetched in a single API request.
• Batch cve_searchsploit Calls: Exploit availability for multiple CVEs is checked with a single subprocess call.
• Parallel Processing: Utilizes concurrent.futures.ThreadPoolExecutor for concurrent fetching of CVE details from the NVD API.
• Exponential Backoff: Implemented for NVD API calls to gracefully handle rate limits and transient network issues.

Contributing

Contributions are welcome! Please feel free to submit pull requests or open issues on the GitHub repository.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Updated On

Dec 18, 2025