
ZeroTrace Stealer 2025
In today’s threat landscape, information stealers have become one of the most pervasive and damaging tools in a cybercriminal’s arsenal. The latest generation of these malicious programs demonstrates alarming sophistication, combining stealthy data harvesting capabilities with advanced evasion techniques. These stealers are particularly dangerous because they target the most sensitive user credentials and financial information, often serving as the initial foothold for more extensive network compromises. The availability of ZeroTrace Stealer 2025 on underground forums has led to widespread adoption by attackers of varying skill levels, making them a significant threat to both individuals and organizations across all sectors.
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This information stealer is a modular malware designed to extract and exfiltrate sensitive data from infected systems while maintaining a low detection profile. It primarily targets stored credentials, financial information, authentication cookies, and cryptocurrency wallets from web browsers, email clients, and other applications. The malware is typically distributed through phishing campaigns, malicious advertisements, or bundled with pirated software. What makes this stealer particularly effective is its ability to bypass multi-factor authentication by stealing session cookies and its compatibility with both Windows and macOS systems. The stolen data is often used for financial fraud, corporate espionage, or sold on dark web marketplaces.

Key Features
| Feature | Description |
| Credential Harvesting | Extracts saved passwords from browsers, email clients, and FTP applications. |
| Cookie Theft | Steals session cookies to bypass authentication and MFA protections. |
| Form Grabbing | Captures form submissions before encryption (logins, credit card info). |
| Cryptocurrency Theft | Targets wallet files and clipboard data for crypto transactions. |
| System Profiling | Collects detailed system information for targeted attacks. |
| Anti-Detection | Uses process hollowing, code obfuscation, and VM/sandbox evasion. |
| Data Exfiltration | Encrypts and compresses stolen data before transmission to C2 servers. |
How ZeroTrace Stealer 2025 Works
Infection and Initial Execution
The malware typically infiltrates systems through:
- Phishing Emails: Messages with malicious attachments disguised as invoices or documents
- Software Bundling: Included with cracked/pirated applications or fake updates
- Exploit Kits: Leveraging vulnerabilities in browsers or plugins for drive-by downloads
Upon execution, it performs several initialization steps:
- Environment Checks: Detects virtual machines, sandboxes, and security tools
- Persistence Setup: Creates registry entries or scheduled tasks for longevity
- Process Injection: Injects malicious code into legitimate processes (e.g., explorer.exe)
Data Collection Process
The stealer systematically harvests information from multiple sources:
Browser Targeting:
- Extracts saved credentials from Chrome, Firefox, Edge, and other browsers
- Steals autofill data and payment card information
- Captures browser cookies and session tokens
- Logs browsing history for reconnaissance
Application Targeting:
- Email clients (Outlook, Thunderbird)
- FTP clients (FileZilla, WinSCP)
- Messaging applications (Discord, Telegram)
- Cryptocurrency wallets (Electrum, Exodus)
System Information Gathering:
- Installed software and security products
- Network configuration and connected devices
- Screenshots of active desktop sessions
- Clipboard contents monitoring
Data Processing and Exfiltration
Before transmission, the malware:
- Organizes data into structured categories
- Compresses and encrypts the stolen information
- Validates data quality to ensure usability
Exfiltration occurs through multiple channels:
- HTTPS POST requests to attacker-controlled servers
- Cloud storage APIs (Google Drive, Dropbox) as intermediaries
- Telegram bots for small data packages
- Decentralized networks for resilient communication
Evasion Techniques
The stealer employs sophisticated methods to avoid detection:
- Code Obfuscation: Polymorphic code that changes with each infection
- Process Hollowing: Runs within legitimate system processes
- Timing Attacks: Delays execution to bypass sandbox analysis
- Traffic Masking: Blends with legitimate network traffic patterns
- Anti-Debugging: Detects and responds to analysis attempts
Post-Exfiltration Activities
After successful data theft:
- Self-cleans traces from the infected system
- Optionally deploys additional payloads (e.g., ransomware)
Updates C2 infrastructure for future campaigns


