PROBABLY_PENTEST (1) package from Python Package Index.

1. Packages looking like typical pentest packages, but also anything that looks like testing, exploring pre-prepared kits, research & co, with clearly low-harm possibilities.

pyprettifier

Affected versions: (1) 0.1.0, 0.1.1, 0.1.2, 0.1.3, 0.1.4

1. Version numbers are usually added automatically. In most cases, the packages listed here were created only to distribute malicious code.

Campaign data

Campaign information may not always be 100% accurate for every related package.

Campaign description

The pyprettifier library has a feature to send out the user home path throuh the logger. It's attached to the init of EmojiConverter class. Other related packages utilize a typosquatting to imitate real packages, and attempts to call the EmojiConverter from pyprettifier, triggering notifying the author about the user's home path.

See more details on the campaign page.

action-hidden-in-lib-usage

The malicious action is hidden in the code and starts when user interacts with it (e.g. during class initialization or by exfiltrating given credentials).

basic_exfiltration

The package contains code to exfiltrate basic data from the system, like IP or username. It has a limited risk.

through_dependency

The malicious code is intentionally included in a dependency of the package

typosquatting

The package name is an typosquatting variant of a popular package.

Look up in other services

• Check metadata in pypi-data project (1)
• Search for the package in deps.dev(2)
• Search for the package in socket.dev (3)
• Search for the package in secure.software (4)
• Search for the package in Snyk Advisor (5)

1. May not be available. See more in pypi-json-data repository.
2. Open Source Insights project, provided by Google.
3. Service from Socket.dev, a cybersecurity company.
4. Spectra Assure Community, a service from ReversingLabs, a cybersecurity company.
5. Service from Snyk, a cybersecurity company.