﻿<?xml version="1.0" encoding="UTF-8"?><rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>LogViewPlus Support » LogViewPlus Support » Help &amp; Support  » Summarizing the IPs that visit a site</title><generator>InstantForum 2017-1 Final</generator><description>LogViewPlus Support</description><link>https://www.logviewplus.com/forum/</link><webMaster>LogViewPlus Support</webMaster><lastBuildDate>Mon, 20 Apr 2026 14:33:39 GMT</lastBuildDate><ttl>20</ttl><item><title>Summarizing the IPs that visit a site</title><link>https://www.logviewplus.com/forum/post/2396</link><description>Hello folks - I host e-commerce sites and have to deal with researching hacking events.&lt;br/&gt;&lt;br/&gt;My typical strategy is to paste the IIS server logs into a Word document, then I use a series of macros.&amp;nbsp; I remove all references to objects (images, .css, .js, etc.) from the &amp;#100;ocument.&amp;nbsp; This way I am left with only the calls to specific files.&amp;nbsp; Once I have the log entries narrowed down, I use another macro to summarize the top IPs that visited the site.&amp;nbsp; Then I use another macro to facilitate limiting copies of those logs to the traffic based on selected IPs.&amp;nbsp; I'm able to scroll through those documents in order to look for mischief.&lt;br/&gt;&lt;br/&gt;A set of logs that I am currently dealing with are large enough that it's become a challenge, in that the files are large enough to bog down the process such that it takes forever.&amp;nbsp; So I'm looking for more efficient means of tackling this task.&lt;br/&gt;&lt;br/&gt;I discovered this tool yesterday, and have not seen a means of producing the sort of summary that I am posting below.&amp;nbsp; Can the tool be used to isolate all of the IPs, and tell me how many hits on pages that IP was responsible for?&amp;nbsp; Thanks.&lt;br/&gt;&lt;br/&gt;13.74.149.232&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;1114&lt;br/&gt;40.84.18.217&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;832&lt;br/&gt;52.169.180.58&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;467&lt;br/&gt;192.42.116.192&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;444&lt;br/&gt;52.178.210.189&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;411&lt;br/&gt;52.169.183.46&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;377&lt;br/&gt;52.169.5.45&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;377&lt;br/&gt;52.169.180.88&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;377&lt;br/&gt;52.169.88.234&amp;nbsp;&amp;nbsp;&amp;nbsp;&amp;nbsp;377&lt;br/&gt;</description><pubDate>Tue, 01 Apr 2025 17:36:44 GMT</pubDate><dc:creator>GregD</dc:creator></item><item><title>RE: Summarizing the IPs that visit a site</title><link>https://www.logviewplus.com/forum/post/2399</link><description>Hi Greg,&lt;br/&gt;&lt;br/&gt;Yes, this is definitely something LogViewPlus can do.&amp;nbsp; LogViewPlus uses a built in SQL engine so you will need to determine the appropriate SQL statement.&amp;nbsp; Here are a few SQL examples when working with &lt;a href="https://www.logviewplus.com/docs/iis_log_sql_examples.html" id="if_insertedNode_1743528578681"&gt;IIS Web Server log files&lt;/a&gt;.&lt;br/&gt;&lt;br/&gt;I would suggest playing around in the &lt;a href="https://www.logviewplus.com/docs/sql_scratchpad.html" id="if_insertedNode_1743528614082"&gt;SQL Scratchpad&lt;/a&gt; before creating a &lt;a href="https://www.logviewplus.com/docs/create_a_custom_report.html" id="if_insertedNode_1743528663456"&gt;Dashboard&lt;/a&gt;.&lt;br/&gt;&lt;br/&gt;If you are new to SQL, I would suggest Copying an AI Prompt to your clipboard by right-clicking in the SQL editor.&lt;br/&gt;&lt;br/&gt;&lt;img src="data:image/png;base64,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" alt=""&gt;&lt;br/&gt;&lt;br/&gt;A SQL Prompt contains a description of the data you are trying to query.&amp;nbsp; You can use this in an AI chatbot to help you find the query you are looking for.&lt;br/&gt;&lt;br/&gt;In your case, I suspect you are looking for a query like:&lt;br/&gt;&lt;br/&gt;[code language="sql"]SELECT TOP 10 c-ip AS Machine, &lt;br/&gt;     COUNT(*) AS Requests &lt;br/&gt;FROM CurrentView&lt;br/&gt;GROUP BY Machine&lt;br/&gt;ORDER BY Requests DESC[/code]&lt;br/&gt;Hope that helps,&lt;br/&gt;&lt;br/&gt;Toby</description><pubDate>Tue, 01 Apr 2025 17:36:44 GMT</pubDate><dc:creator>LogViewPlus Support</dc:creator></item></channel></rss>