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Peeling Back the Layers: Inside Vidar - From Virtualized Code to Stolen Credentials

0
Medium
Published: 09/09/2026 (09/09/2026, 06:38:56 UTC)
Source: AlienVault OTX General

Description

This analysis covers a sophisticated variant of the Vidar infostealer malware that uses a custom virtual machine to obfuscate its code. It employs multiple anti-analysis techniques such as debugger detection, timing checks, sandbox evasion, and environment fingerprinting. Vidar targets credentials from Chromium and Gecko-based browsers, Azure authentication tokens, and FileZilla FTP credentials, while also capturing screenshots. It uses elevated privileges and hidden desktops for browser automation and exfiltrates stolen data via Telegram channels. The malware cleans up execution artifacts and uses DLL proxying through rundll32.exe to evade detection.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 09/09/2026, 10:52:06 UTC

Technical Analysis

The Vidar infostealer variant analyzed uses a proprietary virtual machine to interpret custom bytecode, complicating reverse engineering efforts. It incorporates anti-analysis measures including NtQueryInformationProcess debugger detection, RDTSC timing checks, sandbox evasion by detecting antivirus processes and system resource checks, and environment fingerprinting. Vidar targets a range of sensitive data including browser credentials from Chromium and Gecko-based extensions, Azure authentication tokens, and FileZilla FTP credentials. It captures screenshots and leverages SeDebugPrivilege for elevated access. The malware creates hidden desktops to automate browser interactions and exfiltrates stolen data through Telegram channels. It also performs cleanup to remove traces of execution and proxies DLL execution through rundll32.exe to blend with legitimate Windows processes.

Potential Impact

Vidar compromises user credentials from multiple sources including web browsers and FTP clients, as well as Azure authentication tokens, potentially allowing attackers unauthorized access to user accounts and cloud resources. The malware's use of elevated privileges and stealth techniques increases the difficulty of detection and removal. Data exfiltration via Telegram channels enables attackers to receive stolen information covertly. The overall impact includes credential theft, potential account takeover, and privacy breaches.

Defensive Guidance

No official patch or remediation is available as this is malware rather than a software vulnerability. Mitigation focuses on detection and prevention through endpoint protection solutions capable of identifying Vidar's behavior and indicators, including its anti-analysis techniques and use of rundll32.exe for DLL proxying. Monitoring for suspicious use of SeDebugPrivilege and hidden desktop creation may aid detection. Network monitoring for unusual Telegram traffic could help identify data exfiltration attempts. Users should maintain updated antivirus and endpoint detection and response (EDR) tools and exercise caution with email attachments and downloads to prevent infection.

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Technical Details

Author
AlienVault
Tlp
white
References
["https://www.splunk.com/en_us/blog/security/inside-vidar-from-virtualized-code-to-stolen-credentials.html"]
Adversary
null
Pulse Id
6aa0ff00a243a6e9885866ee
Threat Score
null

Indicators of Compromise

Hash

ValueDescriptionCopy
hash4af273fab49d3ee6aa182111a2891ed5
hashde10359f98cf66d7cb534f6ec7c5101e
hasha20139421c881a47110838881e61b418814edb69
hashf03931b9008cbc798abc5a7c54be206e7331ab3b
hash34c7929e60aa09bffdf458f4ee0b618f65d77e1b77e161f66fb835e35c405cc4
hash398633479c7d8c0c93616f50d1faaa7f01b5864c89de0911812da60bf90e3358
hash3a2e69ca13d76af3d9502d352802be4d6aa00cc675da69fccab33dc3a0c914fe
hashe42890753b9e9e08a29dab78db957677dfb9efd3dfa0aef84184d4257ad1a6f0
hashe618dd67445e12d7c2bd9dada402f522b5456d891a81c7d1b0978b6409f21322

Threat ID: 6aa13a4facd9273b492fb50c

Added to database: 09/09/2026, 10:51:59 UTC

Last enriched: 09/09/2026, 10:52:06 UTC

Last updated: 09/09/2026, 23:59:03 UTC

Views: 17

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