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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.
Provides a bunch of tools and utilities to use with PyTorch.
junky supports Python 3.5 or later. To install it via pip, run:
$ pip install junky
If you currently have a previous version of junky installed, use:
$ pip install junky -U
Alternatively, you can also install junky from source of this git repository:
$ git clone https://github.com/fostroll/junky.git
$ cd junky
$ pip install -e .
junky is released under the BSD License. See the LICENSE file for more details.
FAQs
Layers, datasets and utilities for PyTorch
We found that junky 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.
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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.
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