Over the decade, Python has been dominating the programming languages and consistently growing with open-source love.
Numerous popular Python projects exist that are used by millions of users. However, besides this, in recent times, it’s been noted that open-source malware is emerging.
The recent repositories share Python code for data theft, and minimal Python knowledge enables anyone to create and deploy malware.
Cybersecurity researchers at K7 Security Labs recently identified a significant surge in open-source malware, which is found to be stealing login credentials and sensitive data.
Over the decade, Python has dominated the programming languages and consistently grown with open-source love.
Numerous popular Python projects exist that are used by millions of users. However, besides this, in recent times, it’s been noted that open-source malware is emerging.
The recent repositories share Python code for data theft, and minimal Python knowledge enables anyone to create and deploy malware.
Security analysts received a sample from a third-party antivirus tester, initially seeming like a Python-based binary but undetected by ‘Detect it easy’ as a pyinstaller packer.
Revealed as ‘BlankGrabber’ malware with Python-related strings. Despite a fake certificate and harmless appearance, it extracts content using pyinstxtractor.
Decompiling ‘loader-o.pyc’ with pycdc exposes ‘stub-o.pyc,’ leading to obfuscated code.
In the execution environment, it scans for the following data that are blackilisted:-
Later, it checks the registry keys for VM traces. Confirming a safe environment triggers multithreaded stealer functions to swiftly collect and send data to the threat actor.
Here below, we have mentioned all the types of data that the stealer gathers:-
In late 2022, this malware emerged, and the developer of this malware claims educational intent but uses it maliciously.
Python beginners can easily customize the GUI, simplifying it for all, and the builder batch triggers the gui.py input from the threat actor.
Meanwhile, the malicious code in stub.py replaces the “Settings” variables. The BlankOBF.py does the following things with the code:-
The junk codes were added for analysis complexity. Besides this, they were compiled and archived with AES encrypted by the repo’s pyaes module in PyPi with typo-squatting.
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