A new Python-based information stealer, VVS Stealer, is being actively marketed on Telegram and deployed against users of the popular communication platform Discord. The malware's primary innovation is its use of PyArmor, a legitimate commercial-grade Python code obfuscator, to encrypt its payload. This technique makes the malware extremely difficult to analyze using static methods and allows it to evade many signature-based antivirus products. VVS Stealer is a comprehensive credential thief, designed to extract Discord authentication tokens, browser data (cookies, passwords, history), and inject malicious JavaScript into the Discord client to capture credentials in real-time. The stolen data is then exfiltrated via Discord webhooks, leveraging a trusted service to bypass network security controls.
VVS Stealer is part of the growing Malware-as-a-Service (MaaS) ecosystem, offered on Telegram with subscriptions starting as low as €10. This low barrier to entry allows even unsophisticated actors to deploy capable stealer malware. The primary targets are Discord users, often gamers or members of cryptocurrency communities, who are tricked into downloading and running the malicious executable.
The malware's use of PyArmor is a significant technical feature. PyArmor is designed to protect Python scripts from reverse engineering, but here it is abused to conceal the stealer's malicious functions from security software. This forces defenders to rely on behavioral analysis and runtime detection rather than static signatures.
Once executed, VVS Stealer performs several malicious actions:
The attack chain for VVS Stealer is typical for an info-stealer, but with an emphasis on evasion.
%APPDATA%\Microsoft\Windows\Start Menu\Programs\Startup folder to ensure it runs every time the user logs in.python.exe) from unusual locations or by unexpected parent processes.discord.com/api/webhooks/ from processes other than the official Discord client.%APPDATA%\discord\).| Type | Value | Description | Context | Confidence |
|---|---|---|---|---|
| file_path | %APPDATA%\Microsoft\Windows\Start Menu\Programs\Startup |
The malware places a copy of itself in this folder for persistence. | File Integrity Monitoring, EDR | high |
| url_pattern | discord.com/api/webhooks/ |
The malware exfiltrates data to Discord webhooks. Monitor for POST requests to this URL pattern from any process. | Network Proxy Logs, Firewall Logs | high |
| command_line_pattern | taskkill /f /im discord.exe |
The malware kills the Discord process before injecting its malicious JavaScript. | EDR, Windows Event ID 4688 | high |
discord.com/api/webhooks/ from endpoints that are not explicitly authorized to use them. This aligns with D3-OTF: Outbound Traffic Filtering.Use application control technologies to restrict the execution of unauthorized software, including unknown executables downloaded by users.
Mapped D3FEND Techniques:
Deploy an EDR solution to monitor for malicious behaviors, such as a process accessing browser credential stores and exfiltrating data to a webhook.
Mapped D3FEND Techniques:
Use a firewall or proxy to block outbound connections to known malicious or non-business web services, such as Discord webhooks.
Mapped D3FEND Techniques:
Given that VVS Stealer uses PyArmor to defeat static, signature-based detection, a behavioral approach is essential. Organizations must deploy an Endpoint Detection and Response (EDR) solution capable of deep process analysis. A properly configured EDR would detect the chain of malicious behaviors exhibited by VVS Stealer, even if the executable file itself is unknown. A detection rule could be built to trigger a high-severity alert if a single process performs the following sequence: 1) Is executed from a temporary or user download folder. 2) Creates a file in a startup location. 3) Accesses files associated with browser credential storage (e.g., Local State, Login Data files). 4) Makes an outbound HTTP POST request to a URL containing /api/webhooks/. This correlation of behaviors is a powerful way to identify info-stealers regardless of their obfuscation.
VVS Stealer relies on Discord webhooks for data exfiltration. This is a significant weakness that can be exploited by defenders. Organizations should implement strict outbound traffic filtering at their network perimeter (firewall or web proxy). A rule should be created to block all outbound POST requests to discord.com/api/webhooks/* and *.discord.com/api/webhooks/* from all corporate endpoints by default. If a legitimate business use case for Discord webhooks exists (e.g., for DevOps notifications), specific exceptions can be made for the authorized source servers. This simple network control effectively cuts off the malware's C2 communication channel, preventing the theft of data even if the stealer successfully executes on an endpoint.
For high-security environments, application allowlisting is one of the most effective defenses against malware like VVS Stealer. Instead of trying to block a near-infinite list of malicious files, allowlisting only permits a pre-approved set of known, good applications to run. Any executable not on the list, including the VVS Stealer payload downloaded by a user, is blocked by default. Implementing allowlisting requires a mature IT asset management process to build and maintain the list of approved software, but for environments where the software landscape is relatively static, it provides a powerful defense that is resilient to obfuscation and polymorphism.

Cybersecurity professional with over 10 years of specialized experience in security operations, threat intelligence, incident response, and security automation. Expertise spans SOAR/XSOAR orchestration, threat intelligence platforms, SIEM/UEBA analytics, and building cyber fusion centers. Background includes technical enablement, solution architecture for enterprise and government clients, and implementing security automation workflows across IR, TIP, and SOC use cases.
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