International Journal on Science and Technology

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Evaluation of Malware Analysis Tools: Lastline, ReversingLabs, and Sonic Sandbox Engine

Author(s) John Komarthi
Country United States
Abstract The sophistication of modern malware has been increasing, and it is outpacing the capabilities of traditional security tools. Creating advanced malware analysis platforms has turned out to be a critical component of cybersecurity strategies. In this white paper, we will evaluate three of the prominent solutions: Lastline, ReversingLabs, and Sonic Sandbox Engine. Each of the solutions has a unique approach towards static, dynamic, and hybrid analysis. From performing an in-depth analysis of their architecture, detection capability, operational trade-offs, and their real-world performance, we will identify the strengths and weaknesses of the tool and where they are going to fit perfectly. Industry-specific case studies will be discussed, and the practical challenges will be illustrated when it comes to the practical deployment outcomes across multiple sectors (health, education, finance, and telecommunications). Ecosystem-wide challenges will be explored, which also include evasion tactics, analyst fatigue, integration complexity, and compliance constraints. We will also discuss AI-driven behavioral modeling, simulation-based analysis, and autonomous threat response. This will offer a forward-looking perspective on how malware detection must evolve to meet future threats. Through this white paper, we aim to analyze the tools and find the right malware analysis platform according to the operational needs and risk landscape.
Keywords Malware analysis, dynamic analysis, threat detection, static analysis, sandboxing, SonicWALL, RefersingLabs, sandbox evasion, Capture ATP, threat intelligence, YARA, incident response, malware sandbox, hybrid analysis.
Field Engineering
Published In Volume 16, Issue 4, October-December 2025
Published On 2025-12-08
DOI https://doi.org/10.71097/IJSAT.v16.i4.10088
Short DOI https://doi.org/hbkrgp
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