
Security News
/Research
Fake Corepack Site Distributes Infostealer and Proxyware to Developers
A fake corepack.org site is impersonating the Node.js tool and delivers an infostealer and proxyware to developers who download it.
data-harvester
Advanced tools
This module is highly consistent with malicious supply-chain behavior: it decodes an embedded payload, drops it as an executable into a hidden user directory, and establishes periodic persistence via user cron. It additionally attempts to delete specific installed package metadata directories (containing 'data_harvester') and removes __pycache__ to hinder investigation. While the exact payload bytes are not visible in the provided snippet (limiting confirmation of the payload’s specific capabilities), the persistence + dropper + anti-forensics workflow is strongly indicative of malware.
Lightweight data collection and processing utilities for Python scripts
FAQs
Lightweight data collection and processing utilities for Python scripts
The pypi package data-harvester receives a total of 98 weekly downloads. As such, data-harvester popularity was classified as not popular.
We found that data-harvester demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer 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
A fake corepack.org site is impersonating the Node.js tool and delivers an infostealer and proxyware to developers who download it.

Research
/Security News
A large-scale campaign abused GitHub Actions in compromised repositories to exploit CVE-2026-41940 in cPanel and WHM and steal server credentials.

Security News
Five frontier LLMs generated the same nonexistent package names, leaving 53 available for potential slopsquatting across PyPI and npm.