- A new Python malware called VVS Discord Stealer is actively attempting to steal user information from Discord by way of credentials, tokens, and browser data.
- VVS Discord Stealer uses the Pyarmor obfuscation technique to hide itself from detection by security researchers and prevent any analysis.
- The malware’s creators are marketing and distributing the software through Telegram, selling copies of VVS Stealer as of April 2025.

Recent information has shed light on the existence of a stealthy infostealer called VVS Discord Stealer that is specifically created to target Discord users.
The VVS Discord Stealer utilizes advanced obfuscation techniques to conceal its intentions and behavior while demonstrating a continued pattern among cybercriminals to take advantage of legitimate software development tools for the purposes of committing malicious acts.
Malware Built Specifically for Discord Theft
VVS Discord Stealer specifically targets Discord user accounts and their corresponding browsers. Designed to steal users’ most sensitive and private data from Discord, VVS Discord Stealer steals Discord authentication tokens, login credentials, and user metadata.
VVS Discord Stealer also collects data from Web browsers, including cookies, saved passwords, browsing history, and autofill data. Attackers can use this information to take over victims’ accounts, commit identity theft, or resell it on dark web forums.
Researchers indicate Discord is an attractive target for cybercriminals because using stolen tokens to take over an account does not require the attacker to have access to the victim’s password. Telegram channels have publicly shared information about the capabilities of the VVS Discord Stealer.
Pyarmor Obfuscation Hides Malicious Behavior
The VVS Stealer is based on Pyarmor, a legitimate Python obfuscation tool. Many developers use PyArmor to protect their intellectual property or to hide malicious code from view.
The attackers encoded the script in multiple layers using PyArmor, and automated analysis methods—such as static scans and signature-based detection—were virtually useless. As a result, the research team had to manually reverse-engineer each sample to understand how the VVS Stealer worked.
While reverse‑engineering the samples, the research team found that attackers had built them with complex, layered structures that hid their malicious functionality from detection.
The more they examined the reverse-engineered samples for malware, the more they learned about the sophistication level of those individuals as they developed malicious activity within Python.
Stealth, Persistence, and User Deception
The aspects of stealth, persistence, and user deception play an important part in the operation of VVS Stealer during the infiltration process after it has been installed. The combination of these three aspects provides VVS Stealer with the ability to withstand system rebooting and remain undetected by victims.
While VVS Stealer is running secretly, it also shows fake error messages to make it look normal. It takes screenshots of everything the target does. VVS Stealer can send this information back to the attacker’s server, even if the attacker is not actively watching.
Broader Implications for Malware Defense
The release of the VVS Stealer malware from Discord illustrates a continuing trend in the overall risk landscape. Malware developers have been developing their products and creating their tools to evade modern security mechanisms.
Also, they’re developing increasingly sophisticated anti-analysis and evasion techniques, including using legitimate tools for their purpose. For many defenders of these malware threats, in order to successfully defend against these types of threats, it is critical to utilize behavior-based detection methods in addition to static signatures.
In order to provide better detection of these types of threats, defenders will need to use platforms that can detect unauthorized token access or unusual behavior. More importantly, all security teams advise Discord users to exercise caution when downloading suspicious files or using “cracked” software and unofficial plugins.
These products continue to represent common infection points for infostealing malware. Because tools such as VVS Stealer are readily available for purchase on Telegram or other similar applications, the distinction between commodity malware and elite threats is becoming increasingly blurred.
However, this easy access to malicious tools exists alongside a significant counter-trend: increased global law enforcement pressure is making cybercrime less profitable in key areas, as evidenced by a reported 35% plummet in ransomware payments last year.