Sep 3, 2019 · Detection of malicious PowerShell scripts with deep learning. We used the Word2vec embedding of the PowerShell language presented in the previous section to train …

In this paper, a detection model of malicious PowerShell scripts based on hybrid features is proposed, we analyzed the differences between malicious and benign samples in text …

This repository contains a collection of malicious PowerShell scripts used for research paper in "Detection of malicious PowerShell scripts using deep learning". The dataset consists of …

#train_for_all_scripts_to_word2vec.py: This script is designed to process PowerShell script data and train a Word2Vec model. Its main functions include reading PowerShell script files from a …

Aug 26, 2020 · This paper proposes a method to classify unknown PowerShell scripts by creating feature vectors from malicious and benign PowerShell scripts. Our method constructs word …

Sep 1, 2021 · In this paper, we propose a static method of detecting malicious PowerShell based on word embeddings. In our method, PowerShell scripts are separated into words, and these …

In this work, we address this challenge by imple- menting several novel detectors of malicious Power- Shell commands and evaluating their performance. We implemented both \traditional" …

Apr 15, 2023 · Has anyone got a list of powershell or cmdline commands or scripts which will cause some blocks, alerts and notifications to appear in cloud defender (appreciate tuning …

To this end, we experiment with two popular text embedding approaches, Word2Vec (W2V) [8] and FastText ( [15], [16]), trained on a dataset that contains a large corpus of unlabeled …

Aug 11, 2021 · We also build a model for detecting malicious PowerShell scripts based on BiLSTM, which has a BiLSTM layer and a layer with two neurons to deal with 1,000 tokens …