XLoader Malware Analyzed Using ChatGPT

Source: Cyber Security News

XLoader has evolved since its emergence as a rebranded version of FormBook in 2020, incorporating aggressive evasion techniques and complex encryption methods. The recent analysis by Check Point researchers illustrates the malware’s challenges, particularly in its latest version 8.0, which uses customized encryption schemes and extensive anti-analysis tactics. Traditional reverse engineering methods were inefficient, consuming days for even basic unpacking.

By integrating generative AI, specifically ChatGPT, researchers were able to compress the analysis timeframe from days to approximately 40 minutes. This transformation was achieved through a combination of AI-assisted static reverse engineering and runtime debugging to extract critical information. The dual-layer RC4 encryption that XLoader employs demonstrates the sophistication of its design, but the successful extraction of Stage-1 and Stage-2 keys signifies a promising advancement in combating such threats. This method not only speeds up analysis but also makes the results easier to share among cybersecurity professionals.

👉 Pročitaj original: Cyber Security News