
Research
/Security News
Toptal’s GitHub Organization Hijacked: 10 Malicious Packages Published
Threat actors hijacked Toptal’s GitHub org, publishing npm packages with malicious payloads that steal tokens and attempt to wipe victim systems.
This Python package provides a tool to validate email addresses by checking their syntax, MX records, whether they belong to disposable email provider domains, catchall status, and if the email exists (is deliverable).
📋 Email Verifier
Introduction
This project aims to validate email addresses by checking their syntax, MX records, whether they belong to disposable email provider domains, catchall status, and if the email exists (is deliverable). It utilizes various Python packages and scripts to perform these validations.
Key Features
Technologies Used
Setup Instructions
Clone the Repository:
git clone <repository_url>
cd <repository_directory>
Install Required Packages:
pip install -r requirements.txt
Ensure Python 3 is Installed.
Usage
Prepare Email List:
Create a text file (emails.txt
) containing the email addresses to validate, with one email per line.
Run the Script:
Execute the bulk_verifier.py
script to validate the email addresses and save the results to a CSV file (emails_validated.csv
).
python bulk_verifier.py
Review Logs:
Optionally, review the log files in the logs
directory for detailed validation process information.
Additional Libraries and Frameworks
Combined Takeaways and Challenges
License
This project is distributed under the MIT License. See the LICENSE file for details.
FAQs
This Python package provides a tool to validate email addresses by checking their syntax, MX records, whether they belong to disposable email provider domains, catchall status, and if the email exists (is deliverable).
We found that email-verifier-py4 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
Did you know?
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