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Cyber Security
Independent · Digital
Thehackingpost
CybersecurityAI-assisted

Vidar Stealer Exploits: Direct Memory Attacks Used to Capture Browser Credentials

On October 6, 2025, a new version of the Vidar Stealer malware, v2.0, was released by the developer known as "Loadbaks." This version introduces advanced features aimed at bypassing modern browser security protections through direct memory injection…

On October 6, 2025, a new version of the Vidar Stealer malware, v2.0, was released by the developer known as "Loadbaks." This version introduces advanced features aimed at bypassing modern browser security protections through direct memory injection techniques.

Vidar Stealer v2.0 marks a significant update with a complete rewrite from C++ to C, enhancing both performance and stealth capabilities. The malware now includes:

Advanced anti-analysis measures Multithreaded data theft capabilities Methods to extract browser credentials, overcoming Chrome's AppBound encryption protections

The malware is available for a lifetime price of $300, offering cost-effective credential-stealing tools.

Vidar Stealer first appeared in 2018, utilizing the Arkei stealer source code, and has consistently been updated to enhance its data-stealing capabilities. The latest release, v2.0, represents the most significant technical advancement, aimed at overcoming modern security protections.

Vidar Stealer v2.0 marks a significant update with a complete rewrite from C++ to C, enhancing both performance and stealth capabilities.
Eleanor Tate · Thehackingpost

The primary advancement in Vidar 2.0 is its ability to bypass Chrome's AppBound encryption. It uses unique methods not found in the public domain, which significantly enhance its credential-stealing capabilities.

Binary analysis shows that the malware employs a multi-stage credential extraction process. Initially, it uses traditional methods, but when these fail, it escalates to advanced techniques involving direct code injection into running browser processes.

Vidar 2.0 introduces several architectural improvements aimed at maximizing efficiency and evading detection:

Multithreading system that dynamically adjusts performance based on the victim's computer specifications Control flow flattening obfuscation and automatic polymorphic builder to evade static detection methods Comprehensive anti-analysis checks to ensure execution only on genuine victim systems

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As activity surrounding the Lumma Stealer declines, security teams should anticipate increased prevalence of Vidar 2.0 in Q4 2025 and beyond. Its technical capabilities and competitive pricing position it as a significant threat to organizations and individual users.

Organizations are advised to maintain strong endpoint security solutions, updated credential management policies, and user education to mitigate this evolving threat.

Based on reporting by GBHackers.

AI transparency. This article was produced with the assistance of artificial intelligence and published under human editorial oversight. AI systems can make mistakes. Read how we use AI (EU AI Act, Art. 50).
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