Hackers often target PyPI packages to exploit vulnerabilities and inject malicious code into widely used Python libraries.
Recently, cybersecurity researchers at FortiGuard Labs identified a malicious PyPI package attacking Discord users to steal credentials.
The malicious PyPI package that was discovered is described as “discordpy_bypass-1.7,” published on March 10th, 2024, and detected on March 12, 2024.
.png
)
.webp)
The package, authored by Theaos and consisting of seven versions with almost similar characteristics, is intended to obtain sensitive information from the victims via persistence techniques, browser data extraction, and token harvesting.
Technical Analysis
The discordpy_bypass-1.7 PyPI package demonstrates persistent cyber-attacks by using malicious behavior designed to take sensitive data from user systems through code obfuscation and evasion techniques against analysis environments.
Free Webinar | Mastering WAAP/WAF ROI Analysis | Book Your Spot
This code employs different checks to detect and quit itself when it runs in a debug or analysis environment, showing attempts to avoid detection.
The coding involves three levels of obfuscation:-
- base64 encoding the original Python code
- Encoding with obfuscation techniques
- Compilation into an executable fetched from a remote URL by discordpy_bypass/discordpy_bypass.py
The code also contains debugging environment detection techniques like checking for blacklisted processes, and the system IP/MAC addresses are compared against blocklists.
.webp)
This makes it critical for people to be alert right from the beginning and take initiative regarding such threats.
FortiGuard said that to detect debugging environments; the code quickly checks the system username, hostname, and hardware ID against some blocklists.
Initializing variables and setting up Socket.IO events for remote control and monitoring enable actions such as file operations, directory navigation, and command execution.
Authentication tokens, especially from Discord, are the target for harvesting sensitive browser data such as login credentials, cookies, and web history.
Before uploading them to a remote server, it also decrypts and validates any extracted tokens.
The discordpy_bypass-1.7 code is a smart and stealthy cyber threat that aims to steal crucial system data quietly by using evasive measures to avoid detection and analysis.
This artful “costume” points out online threats and the necessity of being alert and having strong protections in place.
With knowledge of such threats, researchers can design more secure systems to enhance personal information and general safety for users through joint vigilance and cooperation.
Looking to Safeguard Your Company from Advanced Cyber Threats? Deploy TrustNet to Your Radar ASAP.
