Python | System Gain and Compliance Reports Using Lynis

#! / bin / bash

# script to clean / parse the report file and
# extract the relevant details and run
# Python script to display details on the server.

echo "running ......"

echo ""

sudo . / lynis audit system --quick

# execute warnings. sudo ./warnings.sh

echo "Generating warnings"

echo ""

echo "warnings are:"

echo ""

sudo cat / var / log / lynis-report . dat | grep warning | sed - e "s / warning [] = // g"

sudo cat / var / log / lynis-report . dat | grep warning | sed - e "s / warning [] = // g" | cat & gt; warnings.txt

echo ""

echo "warnings generated"

echo "output file: warnings.txt"

sudo chmod 755 warnings .txt

# execute suggestions. sudo ./suggestions.sh

echo "Generating suggestions"

echo ""

echo "suggestions are:"

echo ""

sudo cat / var / log / lynis-report . dat | grep suggestion | sed - e "s / suggestion [] = // g"

sudo cat / var / log / lynis-report . dat | grep suggestion | sed - e "s / suggestion [] = // g" | cat & gt; suggestions.txt

echo ""

echo "suggestions generated"

echo "output file: suggestions.txt"

sudo chmod 755 suggestions .txt

# execute packages. sudo ./packages.sh

echo "Generating packages"

echo ""

echo "packages are:"

echo ""

sudo cat / var / log / lynis-report . dat | grep installed_package | sed - e "s / installed_package [] = // g"

sudo cat / var / log / lynis-report . dat | grep installed_package | sed - e "s / installed_package [] = // g" | cat & gt; packages.txt

echo ""

echo "packages generated"

sudo chmod 755 packages.txt

# execute shells. sudo ./shells.sh

echo "Generating avaliable shells"

echo ""

echo "shells are:"

echo ""

sudo cat / var / log / lynis-report . dat | grep available_shell | sed - e "s / available_shell [] = // g"

sudo cat / var / log / lynis-report . dat | grep available_shell | sed - e "s / available_shell [] = // g" | cat & gt; shells.txt

echo ""

echo "shells generated"

echo "output file: shells .txt "

sudo chmod 755 shells.txt

# import libraries

import pandas as pd

from pandas import ExcelWriter

import os

# function to get data.

def get_data ():

warnings = open ( ’ warnings.txt’ , ’r’ )

suggestions = open ( ’suggestions.txt’ , ’r’ )

packages = open ( ’packages.txt’ , ’ r’ )

shells = open ( ’shells.txt’ , ’ r’ )

warn_data = warnings.readlines ()

sugg_data = suggestions.readlines ()

pack_dat a = packages.read ()

shell_data = shells.readlines ()

return warn_data, sugg_data, pack_data, shell_data

def clean_data ():

warn, sugg, pack, shell = get_data ()

warn_clean = []

for line in warn:

warn_clean.append (line.split ( ’|’ ))

for i in range ( len (warn_clean)):

warn_clean [i] = warn_clean [i] [: 2 ]

# print (warn_clean [i])

sugg_clean = []

for line in sugg:

sugg_clean.append (line.split ( ’|’ ))

for i in range ( len (sugg_clean)):

sugg_clean [i] = sugg_clean [i] [: 2 ]

# print (sugg_clean [i])

pack_clean = []

pack = pack.split ( ’|’ )

pack_clean = pack

del pack_clean [ 0 ]

shell_clean = []

for i in range ( len (shell)):

shell_clean.append (shell [i] .rstrip ( ’’ ))

# print (shell_clean [i])

return warn_clean, sugg_clean, pack_clean, shell_clean

def convert_to_excel ():

warnings, suggestions, packages , shells = clean_data ()

try :

os.mkdir ( ’outputs’ )

except (Exception):

pass

os.chdir ( ’ outputs’ )

warn_packages = []

warn_text = []

for i in range ( len (w arnings)):

warn_packages.append (warnings [i] [ 0 ])

for i in range ( len (warnings)):

warn_text.append (warnings [i] [ 1 ])

print (warn_packages, warn_text)

warn = pd.DataFrame ()

warn [ ’Packages’ ] = warn_packages

warn [ ’warnings’ ] = warn_text

# warn.to_excel (& # 39; warnings.xlsx & # 39 ;, index = False)

writer = ExcelWriter ( ’warnings.xlsx’ )

warn.to_excel (writer, ’ report1’ , index = False )

workbook = writer.book

worksheet = writer. sheets [ ’report1’ ]

# Invoice information columns

worksheet.set_column ( ’A: A’ , 15 )

# State column

worksheet.set_column ( ’B: B’ , 45 )

# Zip code

# worksheet.set_column (& # 39; F: F & # 39 ;, 10)

writer.save ()

sugg_packages = []

sugg_text = []

for i in range ( len (suggestions)):

sugg_packages.append (suggestions [i] [ 0 ])

for i in range ( len (suggestions)):

sugg_text.append (suggestions [i] [ 1 ])

# print (sugg_packages, sugg_text)

suggestive = pd.DataFrame ()

sugg [ ’Packages’ ] = sugg_packages

[ ’suggestions’ ] = sugg_text

writer1 = ExcelWriter ( ’suggestions.xlsx’ )

sugg.to_excel (writer1, ’report2’ , index = False )

workbook = writer1.book

worksheet = writer1.sheets [ ’report2’ ]

# Invoice information columns

worksheet.set_column ( ’A: A’ , 25 )

# State column

worksheet.set_column ( ’B: B’ , 120 )

# Postal code

# worksheet.set_column (& # 39; F: F & # 39 ;, 10)

writer1.save ()

pack_data = pd.DataFrame ()

pack_data [ ’ Packages’ ] = packages

writer1 = ExcelWriter ( ’ packages.xlsx’ )

pack_data.to_excel (writer1, ’report3’ , index = False )

workbook = writer1.book

worksheet = writer1 .sheets [ ’report2’ ]

# Invoice information columns

worksheet.set_column ( ’A: A’ , 25 )

# State column

worksheet.set_column ( ’B: B’ , 120 )

# Zip code

# worksheet.set_column (& # 39; F: F & # 39 ;, 10)

writer1.save ()

Python | System Gain and Compliance Reports Using Lynis __del__: Questions

__del__

How can I make a time delay in Python?

5 answers

I would like to know how to put a time delay in a Python script.

2973

Answer #1

import time
time.sleep(5)   # Delays for 5 seconds. You can also use a float value.

Here is another example where something is run approximately once a minute:

import time
while True:
    print("This prints once a minute.")
    time.sleep(60) # Delay for 1 minute (60 seconds).

2973

Answer #2

You can use the sleep() function in the time module. It can take a float argument for sub-second resolution.

from time import sleep
sleep(0.1) # Time in seconds

Python | System Gain and Compliance Reports Using Lynis __del__: Questions

__del__

How to delete a file or folder in Python?

5 answers

How do I delete a file or folder in Python?

2639

Answer #1

• os.remove() removes a file.

• os.rmdir() removes an empty directory.

• shutil.rmtree() deletes a directory and all its contents.

---

Path objects from the Python 3.4+ pathlib module also expose these instance methods:

• pathlib.Path.unlink() removes a file or symbolic link.

• pathlib.Path.rmdir() removes an empty directory.

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