Forum Discussion

uditk14's avatar
uditk14
Copper Contributor
Jun 21, 2020

KQL question

AzureActivity | summarize LastActivity = max(TimeGenerated) by ResourceProvider, ResourceGroup | join kind = innerunique( AzureActivity | summarize Operations = count() by ResourceGroup, ResourceProv...
azure monitor
KQL
CliveWatson's avatar
CliveWatson
Former Employee
Jun 30, 2020

hspinto 


Would this work, it maps your IP from AzureActivity to the data from the CSV file?

externaldata (network:string,geoname_id:string,continent_code:string,continent_name:string,country_iso_code:string,country_name:string,is_anonymous_proxy:bool,is_satellite_provider:bool)
[@"https://datahub.io/core/geoip2-ipv4/r/geoip2-ipv4.csv"] with(format="csv", ignoreFirstRecord=true)
// select only the IP addr
| project geoNetworkip = tostring(split(network,"/").[0]), continent_name, continent_code
// join to AzureActicity Table
| join kind= inner 
    (
    AzureActivity
//    | project CallerIpAddress = "41.186.0.0"  // add a fake match to test 
      | project CallerIpAddress
    ) on $left.geoNetworkip == $right.CallerIpAddress
| project geoNetworkip, CallerIpAddress, continent_name, continent_code

 Go to Log Analytics and run query

Adapted from an old post of mine: https://cloudblogs.microsoft.com/industry-blog/en-gb/cross-industry/2019/08/13/azure-log-analytics-how-to-read-a-file/

uditk14's avatar
uditk14
Copper Contributor
Jun 30, 2020

CliveWatson 

Thanks for the solution but this won't help in conditions with IPs falling in between the range. For instance, 47.7.8.8.

The csv contains the ranges and not direct IPs that can be mapped.

How to go about in finding the location for all the Ip addresses. Most of which fall in the mid of the ranges provided.

  • CliveWatson's avatar
    CliveWatson
    Former Employee
    Jun 30, 2020

    Hello uditk14

    I will stress this is just a sample, its not very optimized and there is probably a better way to do this (I just cant think of one currently - so I need to take a break from it, to help me think!)

    // source idea: https://techcommunity.microsoft.com/t5/azure-sentinel/approximate-partial-and-combined-lookups-in-azure-sentinel/ba-p/1393795 
// get lookup data 
let geoData = 
    externaldata (network:string,geoname_id:string,continent_code:string,
                  continent_name:string,country_iso_code:string,
                  country_name:string,is_anonymous_proxy:bool,is_satellite_provider:bool)
    [@"https://datahub.io/core/geoip2-ipv4/r/geoip2-ipv4.csv"] with(format="csv", ignoreFirstRecord=true);
// now turn remote data to scalar 
let lookup = toscalar( geoData |  summarize list_CIDR=make_set(network) );
// link to Azure Activity and specifically CallerIpAddress  
AzureActivity
// get a small time range (this REALLY helps perf!!!!)
| where TimeGenerated > ago(2h)
| mv-apply list_CIDR=lookup to typeof(string) on
(
    // Match each IP from 'CallerIpAddress' with the remote 'network' column 
    where ipv4_is_match (CallerIpAddress, list_CIDR) //== false
)
// summarize to remove any duplicates
| summarize by CallerIpAddress, list_CIDR
| join kind=inner 
  (
  // join to remote data again, to add enrichments 
  geoData
  ) on $left.list_CIDR == $right.network
// build final display 
| summarize by CallerIpAddress, network, country_name, country_iso_code

     

Resources