Threat actors published more than 451 unique malware-laced Python packages on the official Python Package Index (PyPI) repository.
Phylum researchers spotted more than 451 unique Python packages on the official Python Package Index (PyPI) repository in an attempt to deliver clipper malware on the developer systems.
According to the experts, the activity is still ongoing and is part of a malicious campaign that they discovered on November 2022.
Threat actors have typosquatted several major packages in PyPI such as:
bitcoinlib
ccxt
cryptocompare
cryptofeed
freqtrade
selenium
solana
vyper
websockets
yfinance
pandas
matplotlib
aiohttp
beautifulsoup
tensorflow
selenium
scrapy
colorama
scikit-learn
pytorch
pygame
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pyinstaller
The researchers reported that the attackers are trying to register the same code in every possible simple typo of a package name. The process is simple and easy to automate.
Phylum pointed out that the obfuscation technique used in these packages is significantly different from the packages they have spotted in November 2022.
Upon installing a malicious package, a JavaScript file is dropped to the system and executed in the background of any web browsing session allowing to replace a cryptocurrency address with the attacker’s address every time a developer copies it.
“Ultimately, this code is attempting to do exactly what we discovered in November’s blog post and that is quietly replace any crypto wallet address copied to the user’s clipboard with the attacker’s controlled wallet addresses.” reads the analysis published by Phylum. “It does that by creating a browser extension and then writes the following JavaScript to that extension:”
The malware establishes persistence by instructing the developer’s browser(s) to load this extension anytime a browser is opened.
The clipper malware targets popular web browsers, including Google Chrome, Microsoft Edge, Brave, and Opera. The malware modifies browser shortcuts to load the extension by launching the software with “–load-extension” command line.
“This attacker significantly increased their footprint in pypi through automation. Flooding the ecosystem with packages like this will continue.” concludes the report.”The use of Chinese characters, or any other Unicode plane for that matter, is an easy misdirection to detect and to dismiss.”
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