Steve Fenton

The following Log Parser Studio query will find common erroring URLs. You could adapt this to find common addresses for other status codes too. SELECT TOP 20 cs-uri-stem, COUNT(*) AS Total, MAX(time-taken) AS MaxTime, AVG(time-taken) AS AvgTime FROM ‘[LOGFILEPATH]’ WHERE date > SUB(TO_LOCALTIME(SYSTEM_TIMESTAMP()), TIMESTAMP(‘0000-01-02 00:00’, ‘yyyy-MM-dd HH:mm’)) AND sc-status = ‘500’ GROUP BY cs-uri-stem ORDER […]

If you are getting suspicious traffic, it often comes from a range of IP addresses. The below queries get the count using the first three octets of an IP address, so for “192.168.0.1” it will return “192.168.0” and a count of all traffic for the 192.168.0.1/24 range (192.168.0.1 – 192.168.0.255). To get the first three […]

If you want to add my set of Log Parser Studio custom queries to your LPS library, follow these instructions… Note: if you want to merge these with your existing queries, just copy the inner nodes into your LPS library file – if you just want to use my custom set without searching through the […]

You may have seen how to find guilty IP addresses in my post Using Log Parser Studio to Find Guilty IP Addresses, but if you have enabled the logging of X-Forwarded-For IP addresses in IIS you may want to use this updated version, which gets the top offending IP addresses based on the X-Forwarded-For header: […]

If you want to find out which user agents are used to visit your site, you can use the below query. You can use this to find out about browsers, and honest-ish robots (i.e. ones that identify themselves via the user agent). SELECT cs(User-Agent), count(cs(User-Agent)) as requestcount FROM ‘[LOGFILEPATH]’ WHERE date = ‘2016-08-02’ GROUP BY […]

After a load test of some web servers, I needed to have a look through the IIS logs to find out how many requests per minute were being generated on a specific web farm server. The following Log Parser Studio query will group the results by minute, but you can adjust the QUANTIZE call to […]

I am working on an application that accepts request for many different domain names, and sends back different content for each one. This means there is one log file for multiple logical sites, because they all run within the same instance of the web application. To make diagnostics easier, I have enabled the “cs-host” column […]

If you are getting hammered by a robot, you’ll probably want to find out the IP Address of the robot to see if it is a friendly one, or just someone playing with Kali Linux in a far off land. The following Log Parser Studio query will get you a list of your top offenders: […]