How to Install and Uninstall logdata-anomaly-miner Package on Kali Linux

Last updated: May 09,2024

1. Install "logdata-anomaly-miner" package

Here is a brief guide to show you how to install logdata-anomaly-miner on Kali Linux


    
        
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                sudo apt update
            
                    
    
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                sudo apt install
            
                        
                logdata-anomaly-miner
            
                    
    
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2. Uninstall "logdata-anomaly-miner" package

This guide covers the steps necessary to uninstall logdata-anomaly-miner on Kali Linux:


    
        
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                sudo apt remove
            
                        
                logdata-anomaly-miner
            
                    
    
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            $
        

        
            
                sudo apt autoclean && sudo apt autoremove
            
                    
    
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3. Information about the logdata-anomaly-miner package on Kali Linux

Package: logdata-anomaly-miner
Version: 2.6.1-1
Installed-Size: 3092
Maintainer: Markus Wurzenberger
Architecture: all
Depends: python3:any, python3-tz, python3-cerberus, python3-pkg-resources, python3-setuptools
Suggests: python3-scipy
Size: 851164
SHA256: 4b9f8203489aa72f1ea8ff29ea641d4998ba727e72c9a12df1d3203ff385f6e9
SHA1: c2c9b360c709a759c500d19edfa90c389e0fb2ee
MD5sum: 8674f8da9402017d575f25eb51ad63b4
Description: tool for log analysis pipelines
This tool allows one to analyze log data streams and detect violations or
anomalies in it. It can be run from console, as daemon with e-mail alerting,
or embedded as library into own programs. It was designed to run the analysis
with limited resources and lowest possible permissions to make it suitable for
production server use. Analysis methods include:
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* log line parsing and filtering with extended syntax and options
* detection of new data elements (IPs, user names, MAC addresses)
* statistical anomalies in log line values and frequencies
* correlation rules between log lines
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The tool is suitable to operate as a sensor feeding a SIEM and distributing
messages via message queues.
Description-md5:
Homepage: https://aecid.ait.ac.at/
Section: misc
Priority: optional
Filename: pool/main/l/logdata-anomaly-miner/logdata-anomaly-miner_2.6.1-1_all.deb