Next-generation malware analysis is crucial due to the increasing complexity and sophistication of malware.

Traditional signature-based detection technologies are insufficient to detect polymorphic and metamorphic code.

Behavioral analysis and machine learning are new methods for analyzing malware.

Next-generation malware analysis with sandboxing identifies advanced techniques and improves defenses.

Machine learning can detect malware through data pattern analysis.

Sandboxing is a powerful technique that isolates malware and analyzes its behavior.

ANY.RUN is an interactive sandboxing service for malware analysis.

Sandboxing plays a crucial role in threat intelligence by analyzing malware and detecting new vulnerabilities.

Integration with security systems enhances the effectiveness of sandboxing.

Feeds from sandbox analysis can improve incident response and strategic decision-making.

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https://cybersecuritynews.com/next-generation-malware-analysis-with-sandboxing/