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AutoAttacker: A Large Language Model Guided System to Implement Automatic Cyber-attacks
Large language models (LLMs) have demonstrated impressive results on natural language tasks, and security researchers are beginning to employ them in both offensive and defensive systems.
ScriptNet: Neural Static Analysis for Malicious JavaScript Detection
We use the Convoluted Partitioning of Long Sequences (CPoLS) model, which processes Javascript files as byte sequences.
Neural Classification of Malicious Scripts: A study with JavaScript and VBScript
LaMP and CPoLS yield a TPR of 69. 3% and 67. 9%, respectively, at an FPR of 1. 0% on a collection of 240, 504 VBScript files.
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