
Research
PyPI Package Disguised as Instagram Growth Tool Harvests User Credentials
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
EmailDomainValidator
Advanced tools
A .NET library to validate email addresses and detect disposable emails.
The Email Domain Validator is a powerful and easy-to-use .NET library designed to validate email addresses with precision and efficiency. It ensures that email addresses are not only syntactically correct but also checks for disposable or temporary email domains and verifies the existence of MX (Mail Exchange) records for the domain. With built-in support for caching, asynchronous operations, and third-party API integration, this library is perfect for applications that require reliable email validation.
user@domain.com
).Install the Email Validator package via NuGet:
dotnet add package EmailDomainValidator
using EmailDomainValidator;
var email = "test@example.com";
if (await EmailDomainValidator.ValidateEmailAsync(email))
{
Console.WriteLine("Email is valid.");
}
else
{
Console.WriteLine("Email is invalid or disposable.");
}
Contributions are welcome! If you’d like to contribute, please fork the repository and submit a pull request. For major changes, open an issue first to discuss your ideas.
This project is licensed under the MIT License. See the LICENSE file for details.
This description is professional, concise, and highlights the value of your package. It’s designed to attract developers and businesses looking for a reliable email validation solution. Let me know if you’d like to tweak it further! 🚀
FAQs
A .NET library to validate email addresses and detect disposable emails.
We found that emaildomainvalidator 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?
Socket for GitHub automatically highlights issues in each pull request and monitors the health of all your open source dependencies. Discover the contents of your packages and block harmful activity before you install or update your dependencies.
Research
A deceptive PyPI package posing as an Instagram growth tool collects user credentials and sends them to third-party bot services.
Product
Socket now supports pylock.toml, enabling secure, reproducible Python builds with advanced scanning and full alignment with PEP 751's new standard.
Security News
Research
Socket uncovered two npm packages that register hidden HTTP endpoints to delete all files on command.