Table of Contents
Quickly extract high-frequency IP with Log Parser Studio
Use PowerShell to simply count the number of IP occurrences
Using AWK SORT (for Linux environments)
Tips: Pay attention to log format and field location
Home Topics IIS How to find the top IP addresses from IIS logs?

How to find the top IP addresses from IIS logs?

Jul 31, 2025 am 05:02 AM

To find the top IP address in the IIS log, 1. Use Log Parser Studio: Load the log file and run SQL to query the IP frequency to generate CSV sorting output; 2. Use PowerShell: Read the log content, skip the header, extract the IP fields and group statistics, and sort in descending order of the number of times; 3. Use AWK SORT: Extract IP, sort, count the number of times and arrange it in descending order of the number of times; Note that the positions of the IP fields in different log formats may be different, and you need to adjust according to the actual situation to ensure the extraction is accurate.

How to find the top IP addresses from IIS logs?

To find the top IP addresses in IIS logs, the core is to analyze the log files, count the frequency of each IP, and sort it by number. This is useful when troubleshooting access sources, identifying exception requests, or optimizing server resources.

How to find the top IP addresses from IIS logs?

Quickly extract high-frequency IP with Log Parser Studio

Log Parser Studio is a free tool officially provided by Microsoft to efficiently analyze IIS logs. The operation steps are as follows:

  • Open Log Parser Studio and load your IIS log file (usually with the .log suffix)
  • Enter the following SQL query statement:
 SELECT c-ip AS ClientIP, COUNT(*) AS Hits 
INTO top_ips.csv 
FROM '[LOGFILEPATH]' 
GROUP BY c-ip 
ORDER BY Hits DESC
  • After running, a CSV file is generated, which lists all accessed IPs and their access times, sorted from high to low by number of visits.

This method is suitable for people with a certain technical foundation, and is efficient and supports batch processing of multiple log files.

How to find the top IP addresses from IIS logs?

Use PowerShell to simply count the number of IP occurrences

If you don't want to install extra tools, PowerShell can also complete basic statistics. Here is an example of a common command:

 Get-Content C:\inetpub\logs\LogFiles\W3SVC1\u_ex231001.log | 
Select-Object -Skip 4 | 
ForEach-Object { ($_ -split ' ')[5] } | 
Group-Object | 
Sort-Object Count -Descending | 
Select-Object Name, Count

The purpose of this script is:

How to find the top IP addresses from IIS logs?
  • Ignore the first 4 lines (log header information)
  • Split each line by space and extract the 5th field (i.e. IP address)
  • Count the number of occurrences of each IP
  • Arrange in descending order

Note: The log formats of different servers are slightly different, and the location of the IP field may not be the fifth one, and it needs to be adjusted according to the actual situation.


Using AWK SORT (for Linux environments)

If you process IIS logs on a Linux system (such as via WSL or exporting to a Linux server), you can use the following command combination:

 awk '{print $5}' u_ex231001.log | sort | uniq -c | sort -nr

Let's explain:

  • awk '{print $5}' Extract IP address (field location depends on log format)
  • sort the IP to deduplicate
  • uniq -c counts the number of occurrences of each IP
  • sort -nr is sorted in descending order of numbers

This method is very fast on the command line and is suitable for handling large log files.


Tips: Pay attention to log format and field location

The field order of IIS logs is not fixed, it depends on the log format you configure (such as W3C, NCSA, customization, etc.). Check the field definitions in the first few lines of the log file and confirm the field location where the IP is located. Otherwise, the extracted IP will have an error.

For example, the default IP of W3C format is the 5th field, but if there are other fields in your log, the location may change.


Basically these methods. You can choose tools based on your environment and habits. Either way, the key is to accurately identify the IP fields and count the frequency.

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