
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.
aurelia-validation
Advanced tools
This library is part of the Aurelia platform and contains a plugin that provides validation capabilities.
To keep up to date on Aurelia, please visit and subscribe to the official blog and our email list. We also invite you to follow us on twitter. If you have questions look around our Discourse forums, chat in our community on Discord or use stack overflow. Documentation can be found in our developer hub.
Check out the docs on the Aurelia Hub.
Please refer to the issue template. Accompany any bug report with a demo of the issue using a runnable Gist.
To build the code, follow these steps.
npm install
npm run build
dist
folder, available in three module formats: AMD, CommonJS and ES6.To run the unit tests, first ensure that you have followed the steps above in order to install all dependencies and successfully build the library. Once you have done that, proceed with these additional steps:
npm run test
You can optionally run either of the following:
npm run test:watch
# OR
npm run test:debugger
to have better development experience, with watch/debuging capabilities
Refer to ./doc/MAINTAINER.md
for details.
FAQs
Validation for Aurelia applications
We found that aurelia-validation demonstrated a not healthy version release cadence and project activity because the last version was released 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.
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.