Domain registry data and customizable automated auditing solutions that can be integrated into existing workflows

Domain registry data and customizable automated auditing solutions that can be integrated into existing workflows

1. The automated domain registry data auditing feature should allow users to set up scheduled audits of domain registry data. Users should be able to select which fields they want to audit, such as registrant name, organization, and contact information. The feature should automatically collect the selected domain registry data at the specified intervals and compare it to the previous data collected to detect any changes. If any discrepancies are found, the feature should alert the user and provide details on the changes.
2. User Interface Design: The user interface for the automated domain registry data auditing feature should be intuitive and user-friendly. It should allow users to easily set up and manage their audits, view the results of past audits, and customize the fields they want to audit. The interface should also include options for configuring notification settings, such as email alerts or push notifications.
3. Database Schema: The database schema for storing domain registry data should include fields for the various data points collected, such as domain name, registrant name, organization, and contact information. The schema should also include fields for the date and time of the audit and any discrepancies found.
4. Script for Collecting and Storing Data: To automate the process of collecting and storing domain registry data, a script should be developed that connects to the appropriate domain registry databases and retrieves the requested data. The script should then store the data in the appropriate fields in the database schema.
5. Script for Auditing Data: To automate the process of auditing domain registry data, a script should be developed that compares the most recent data collected to the previous data collected and identifies any changes or discrepancies. The script should then store the audit results in the appropriate fields in the database schema.
6. Script for Alerting Users: To automate the process of alerting users of any discrepancies found during the auditing process, a script should be developed that sends notifications to the appropriate user(s) via email, push notification, or other preferred method.

examples;

Linux Script for Collecting and Storing Data:

Linux:

#!/bin/bash

# Connect to the domain registry database using the appropriate API or tool
# Replace {domain} with the actual domain name
whois {domain} > /tmp/domain_data.txt

# Retrieve the requested data fields for the specified domain(s)
registrant=$(grep 'Registrant Name:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)
organization=$(grep 'Registrant Organization:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)
contact_email=$(grep 'Registrant Email:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)
contact_phone=$(grep 'Registrant Phone:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)

# Store the data in the appropriate fields of the database schema
# Replace {database_name}, {table_name}, and {domain} with the actual database name, table name, and domain name, respectively

mysql -u {username} -p{password} -h {hostname} -e "INSERT INTO {database_name}.{table_name} (domain_name, registrant, organization, contact_email, contact_phone) VALUES ('{domain}', '{registrant}', '{organization}', '{contact_email}', '{contact_phone}')"

# Log any errors or exceptions that occur during the data retrieval and storage process

if [ $? -eq 0 ]; then
    echo "Domain data for {domain} successfully collected and stored"
else
    echo "An error occurred while collecting and storing domain data for {domain}"
fi

Windows Script for Collection and Storing Data:

Windows:

@echo off

set domain={domain}

:: Connect to the domain registry database using the appropriate API or tool
whois %domain% > C:\Temp\domain_data.txt

:: Retrieve the requested data fields for the specified domain(s)
for /f "tokens=2 delims=:" %%a in ('findstr /i "registrant name" C:\Temp\domain_data.txt') do set registrant=%%a
for /f "tokens=2 delims=:" %%a in ('findstr /i "registrant organization" C:\Temp\domain_data.txt') do set organization=%%a
for /f "tokens=2 delims=:" %%a in ('findstr /i "registrant email" C:\Temp\domain_data.txt') do set contact_email=%%a
for /f "tokens=2 delims=:" %%a in ('findstr /i "registrant phone" C:\Temp\domain_data.txt') do set contact_phone=%%a

:: Store the data in the appropriate fields of the database schema
:: Replace {database_name}, {table_name}, and {domain} with the actual database name, table name, and domain name, respectively

mysql -u {username} -p{password} -h {hostname} -e "INSERT INTO {database_name}.{table_name} (domain_name, registrant, organization, contact_email, contact_phone) VALUES ('%domain%', '%registrant%', '%organization%', '%contact_email%', '%contact_phone%')"

:: Log any errors or exceptions that occur during the data retrieval and storage process

if %errorlevel% equ 0 (
    echo Domain data for %domain% successfully collected and stored
) else (
    echo An error occurred while collecting and storing domain data for %domain%
)

Linux script to automate the process of auditing domain registry data:

#Linux

#!/bin/bash

# Retrieve the most recent data from the database schema for the specified domain(s)

# Replace {database_name} and {table_name} with the actual database name and table name, respectively

# Replace {domain} with the actual domain name

domain_data=$(mysql -u {username} -p{password} -h {hostname} -e "SELECT * FROM {database_name}.{table_name} WHERE domain_name = '{domain}' ORDER BY audit_timestamp DESC LIMIT 1")

# Parse the data to extract the requested fields

registrant=$(echo "$domain_data" | awk '{print $2}')
organization=$(echo "$domain_data" | awk '{print $3}')
contact_email=$(echo "$domain_data" | awk '{print $4}')
contact_phone=$(echo "$domain_data" | awk '{print $5}')

# Compare the extracted fields with the most recent domain registry data for the specified domain(s)
# Connect to the domain registry database using the appropriate API or tool
# Replace {domain} with the actual domain name

whois {domain} > /tmp/domain_data.txt

# Retrieve the requested data fields for the specified domain(s)

registrant_new=$(grep 'Registrant Name:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)

organization_new=$(grep 'Registrant Organization:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)

contact_email_new=$(grep 'Registrant Email:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)

contact_phone_new=$(grep 'Registrant Phone:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)

# Determine whether any discrepancies exist between the extracted fields and the most recent domain registry data for the specified domain(s)

if [[ "$registrant" != "$registrant_new" || "$organization" !=      "$organization_new" || "$contact_email" != "$contact_email_new" || "$contact_phone" != "$contact_phone_new" ]]; then

    # If discrepancies exist, alert the user of the changes
    # Replace {user_email} with the actual email address of the user to be       alerted

    echo "Domain registry data for {domain} has changed. Please review the updated data." | mail -s "Domain registry data change alert" {user_email}

else

    # If no discrepancies exist, log the audit result
    # Replace {database_name} and {table_name} with the actual database name and table name, respectively
    # Replace {domain} with the actual domain name

    mysql -u {username} -p{password} -h {hostname} -e "INSERT INTO {database_name}.{table_name} (domain_name, registrant, organization, contact_email, contact_phone) VALUES ('{domain}', '$registrant_new', '$organization_new', '$contact_email_new', '$contact_phone_new')"

fi

This script retrieves the most recent data from the database schema for the specified domain(s), compares it with the most recent domain registry data for those domains, and alerts the user if any discrepancies exist. If no discrepancies exist, the audit result is logged in the database schema.

Scripts for auditing domain registry data on both Windows and Linux:

Linux:

#!/bin/bash

# Retrieve the most recent data from the database schema for the specified domain(s)
# Replace {database_name} and {table_name} with the actual database name and table name, respectively
# Replace {domain} with the actual domain name
domain_data=$(mysql -u {username} -p{password} -h {hostname} -e "SELECT * FROM {database_name}.{table_name} WHERE domain_name = '{domain}' ORDER BY audit_timestamp DESC LIMIT 1")

# Parse the data to extract the requested fields
registrant=$(echo "$domain_data" | awk '{print $2}')
organization=$(echo "$domain_data" | awk '{print $3}')
contact_email=$(echo "$domain_data" | awk '{print $4}')
contact_phone=$(echo "$domain_data" | awk '{print $5}')

# Compare the extracted fields with the most recent domain registry data for the specified domain(s)
# Connect to the domain registry database using the appropriate API or tool
# Replace {domain} with the actual domain name
whois {domain} > /tmp/domain_data.txt

# Retrieve the requested data fields for the specified domain(s)
registrant_new=$(grep 'Registrant Name:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)
organization_new=$(grep 'Registrant Organization:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)
contact_email_new=$(grep 'Registrant Email:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)
contact_phone_new=$(grep 'Registrant Phone:' /tmp/domain_data.txt | cut -d ':' -f 2 | xargs)

# Determine whether any discrepancies exist between the extracted fields and the most recent domain registry data for the specified domain(s)
if [[ "$registrant" != "$registrant_new" || "$organization" != "$organization_new" || "$contact_email" != "$contact_email_new" || "$contact_phone" != "$contact_phone_new" ]]; then
    # If discrepancies exist, alert the user of the changes
    # Replace {user_email} with the actual email address of the user to be alerted
    echo "Domain registry data for {domain} has changed. Please review the updated data." | mail -s "Domain registry data change alert" {user_email}
else
    # If no discrepancies exist, log the audit result
    # Replace {database_name} and {table_name} with the actual database name and table name, respectively
    # Replace {domain} with the actual domain name
    mysql -u {username} -p{password} -h {hostname} -e "INSERT INTO {database_name}.{table_name} (domain_name, registrant, organization, contact_email, contact_phone) VALUES ('{domain}', '$registrant_new', '$organization_new', '$contact_email_new', '$contact_phone_new')"
fi

Windows PowerShell:

# Retrieve the most recent data from the database schema for the specified domain(s)
# Replace {database_name} and {table_name} with the actual database name and table name, respectively
# Replace {domain} with the actual domain name
$domain_data = Invoke-Sqlcmd -Query "SELECT * FROM {database_name}.{table_name} WHERE domain_name = '{domain}' ORDER BY audit_timestamp DESC LIMIT 1" -ServerInstance {server_name} -Username {username} -Password {password}

# Parse the data to extract the requested fields
$registrant = $domain_data.registrant
$organization = $domain_data.organization
$contact_email = $domain_data.contact_email
$contact_phone = $domain_data.contact_phone

# Compare the extracted fields with the most recent domain registry data for the specified domain(s)
# Connect to the domain registry database using the appropriate API or tool
# Replace {domain} with the actual domain name
$whois_data = whois {domain}

# Retrieve the requested data fields for the specified domain(s)
$registrant_new = ($whois_data | Select-String -Pattern 'Registrant Name:').ToString().Split(":")[1].Trim()
$organization_new = ($whois_data | Select-String -Pattern 'Registrant Organization:').ToString().Split(":")[1].Trim()
$contact_email_new = ($whois_data | Select-String -Pattern 'Registrant Email:').ToString().Split(":")[1].Trim()
$contact_phone_new = ($whois_data | Select-String -Pattern 'Registrant Phone:').ToString().Split(":")[1].Trim()

# Determine whether any discrepancies exist between the extracted fields and the most recent domain registry data for the specified domain(s)
if ($registrant -ne $registrant_new -or $organization -ne $organization_new -or $contact_email -ne $contact_email_new -or $contact_phone -ne $contact_phone_new) {
    # If discrepancies exist, alert the user of the changes
    # Replace {user_email} with the actual email address of the user to be alerted
    $body = "Domain registry data for {domain} has changed. Please review the updated data."
    $subject = "Domain registry data change alert"
    Send-MailMessage -To {user_email} -Subject $subject -Body $body
} else {
    # If no discrepancies exist, log the audit result
    # Replace {database_name} and {table_name} with the actual database name and table name, respectively
    # Replace {domain} with the actual domain name
    $query = "INSERT INTO {database_name}.{table_name} (domain_name, registrant, organization, contact_email, contact_phone) VALUES ('{domain}', '$registrant_new', '$organization_new', '$contact_email_new', '$contact_phone_new')"
    Invoke-Sqlcmd -Query $query -ServerInstance {server_name} -Username {username} -Password {password}
}

Windows Command Prompt, vbnet;

@echo off

REM Retrieve the most recent data from the database schema for the specified domain(s)
REM Replace {database_name} and {table_name} with the actual database name and table name, respectively
REM Replace {domain} with the actual domain name
set "query=SELECT * FROM {database_name}.{table_name} WHERE domain_name = '{domain}' ORDER BY audit_timestamp DESC LIMIT 1"
sqlcmd -S {server_name} -U {username} -P {password} -Q "%query%" -h-1 -s"," -W > output.csv
for /f "tokens=1,2,3,4,5 delims=," %%a in (output.csv) do (
  set "registrant=%%b"
  set "organization=%%c"
  set "contact_email=%%d"
  set "contact_phone=%%e"
)

REM Compare the extracted fields with the most recent domain registry data for the specified domain(s)
REM Connect to the domain registry database using the appropriate API or tool
REM Replace {domain} with the actual domain name
whois {domain} > whois_output.txt
set "registrant_new="
set "organization_new="
set "contact_email_new="
set "contact_phone_new="
for /f "tokens=1,2 delims=:" %%a in ('findstr /i "Registrant Name Registrant Organization Registrant Email Registrant Phone" whois_output.txt') do (
  if /i "%%a"=="Registrant Name" set "registrant_new=%%b"
  if /i "%%a"=="Registrant Organization" set "organization_new=%%b"
  if /i "%%a"=="Registrant Email" set "contact_email_new=%%b"
  if /i "%%a"=="Registrant Phone" set "contact_phone_new=%%b"
)

REM Determine whether any discrepancies exist between the extracted fields and the most recent domain registry data for the specified domain(s)
if not "%registrant%"=="%registrant_new%" (
  REM If discrepancies exist, alert the user of the changes
  REM Replace {user_email} with the actual email address of the user to be alerted
  echo Domain registry data for {domain} has changed. Please review the updated data. | mail -s "Domain registry data change alert" {user_email}
) else if not "%organization%"=="%organization_new%" (
  REM If discrepancies exist, alert the user of the changes
  REM Replace {user_email} with the actual email address of the user to be alerted
  echo Domain registry data for {domain} has changed. Please review the updated data. | mail -s "Domain registry data change alert" {user_email}
) else if not "%contact_email%"=="%contact_email_new%" (
  REM If discrepancies exist, alert the user of the changes
  REM Replace {user_email} with the actual email address of the user to be alerted
  echo Domain registry data for {domain} has changed. Please review the updated data. | mail -s "Domain registry data change alert" {user_email}
) else if not "%contact_phone%"=="%contact_phone_new%" (
  REM If discrepancies exist, alert the user of the changes
  REM Replace {user_email} with the actual email address of the user to be alerted
  echo Domain registry data for {domain} has changed. Please review the updated data. | mail -s "Domain registry data change alert" {user_email}
) else (
  REM If no discrepancies exist, log the audit result
  REM database_name} with the actual database name
  REM Replace {table_name} with the actual table name
  REM Replace {domain} with the actual domain name
  REM Replace {username} and {password} with the actual username and password for the database
  REM Replace {server_name} with the actual server name for the database

set "query=INSERT INTO {database_name}.{table_name} (domain_name, registrant, organization, contact_email, contact_phone) VALUES ('{domain}', '%registrant_new%', '%organization_new%', '%contact_email_new%', '%contact_phone_new%')"
sqlcmd -S {server_name} -U {username} -P {password} -Q "%query%"
)
del output.csv
del whois_output.txt

This script assumes that you have already set up a database schema to store domain registry data and have populated it with the most recent data for the specified domain(s). It also assumes that you have already set up an email account and have installed a mail client on the system. Finally, it assumes that you have replaced all of the placeholders in the script with the appropriate values for your environment.