Security News
Research
Data Theft Repackaged: A Case Study in Malicious Wrapper Packages on npm
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Mimesis: The Fake Data Generator
Documentation: https://mimesis.name/
Mimesis (/mɪˈmiːsɪs) is a robust data generator for Python that can produce a wide range of fake data in various languages.
The key features are:
To install mimesis, use pip:
~ pip install mimesis
To work with Mimesis on Python versions 3.8 and 3.9, the final compatible version is Mimesis 11.1.0. Install this specific version to ensure compatibility.
You can find the complete documentation on the Read the Docs.
It is divided into several sections:
You can improve it by sending pull requests to this repository.
The library is exceptionally user-friendly, and it only requires you to import a Data Provider object that corresponds to the desired data type.
For instance, the Person provider can be imported to access personal information, including name, surname, email, and other related fields:
from mimesis import Person
from mimesis.locales import Locale
person = Person(Locale.EN)
person.full_name()
# Output: 'Brande Sears'
person.email(domains=['example.com'])
# Output: 'roccelline1878@example.com'
person.email(domains=['mimesis.name'], unique=True)
# Output: 'f272a05d39ec46fdac5be4ac7be45f3f@mimesis.name'
person.telephone(mask='1-4##-8##-5##3')
# Output: '1-436-896-5213'
Mimesis is licensed under the MIT License. See LICENSE for more information.
FAQs
Mimesis: Fake Data Generator.
We found that mimesis demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers 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.
Security News
Research
The Socket Research Team breaks down a malicious wrapper package that uses obfuscation to harvest credentials and exfiltrate sensitive data.
Research
Security News
Attackers used a malicious npm package typosquatting a popular ESLint plugin to steal sensitive data, execute commands, and exploit developer systems.
Security News
The Ultralytics' PyPI Package was compromised four times in one weekend through GitHub Actions cache poisoning and failure to rotate previously compromised API tokens.