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.

fake-usreagant

Affected versions: (1) 0.0.3

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

Package imitates the legitimate fake-useragent, however it has a few suspicious additions: fake.py L149 calls a function from 'urllib2' module, which contains a code attempting to JSON-deserialize encoded code. This is a pickle executing os.system(id), which of course isn't executed by json.loads, but would be by pickle. Also: action is suspicious, not really malicious, but the package is a clear typosquatting attempt.

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).

clones_real_package

The package is a clone of a legitimate package or library, but with malicious code added.

dependency-confusion

An attempt to exploit dependency confusion

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.