In this paper we provide the first large-scale study of the impact that the execution time has on both the amount and the quality of the collected events.
We measure the evolution of system calls and code coverage, to draw a precise picture of the fraction of runtime behavior we can expect to observe in a sandbox.
A Systematical and longitudinal study of evasive behaviors in windows malware · Computer Science. Comput. Secur. · 2022.
Each sample is executed for 2 minutes in an automated manner, which is known to be sufficient to elicit malicious activities of most malware samples [40] . For ...
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A key reason for analysts changing sandboxes is when a malware sample ... Does Every Second Count? Time-based Evolution of Malware Behavior in Sandboxes..
Oct 4, 2021 · Does Every Second Count? Time-based Evolution of Malware Behavior in Sandboxes. Abstract. 執行樣本的時間量是惡意軟體分析的一大重點,太高浪費 ...
Ransomware is a subcategory of malware whose specific goal is to hold the ... Does Every Second Count? Time-based Evolution of Malware Behavior in Sandboxes.
Adversaries may employ various time-based methods to detect and avoid virtualization and analysis environments.
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Apr 6, 2022 · We are the first to mine and automatically discover meaningful and explainable time-interval temporal API call patterns associated with malware behavior.
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