Metadata-Version: 2.1
Name: FilterReportIPsByCount
Version: 1.0.4
Summary: Script to read through a report, grab IPs and check if malicious, output-ing malicious IP information
Home-page: https://github.com/divyaaveerama/FilterReportIPsByCount
Author: Divyaa Kamalanathan
Author-email: divyaa.kamalanathan@intrinium.com
License: UNKNOWN
Description: # FilterReportIPsByCount
        Script to read through a report containing IP addresses that are potentially malicious and require blacklisting, check if those IPs appear in the report a number of times (count), and check if those IPs have been blacklisted. Outputs list of IPs and the IPs' analysis to standard out or in a chosen file.
        
        ## How to Use
        1.  [Make sure that you have Python installed on your computer, and that it is updated to at least version 3.6 ](https://www.python.org/downloads/)
            *  [Make sure that you set up Python environment variables](https://docs.python.org/3/using/windows.html#excursus-setting-environment-variables)
        2.  Download the zip file or clone the repository
        3.  In the command line, navigate to the repository and enter the below command (Only required with first use)
            * `pip install -r requirements.txt`
        4.  Enter the below command with the following arguments
            * `FilterReportIPsByCount\FilterReportIPsByCount.py -i <input filename> -o <output filename> -c <count>`
            > **-i [input filename]** : REQUIRED, the filename (with path, if not on the same directory) of the excel file you want to analyze
            >
            > **-o [output filename]** : Optional, the filename of the text file to which you would like to print the IP analysis information; if not specified, will output to stdout
            >
            > **-c [count]** : Optional, number of times an IP should appear in the report to be added to the list of IPs to analyze; if not specified, will default to 5
            >
            > **-h** : Shows the arguments and options required 
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: GNU General Public License v3 (GPLv3)
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
