iControl Apps - #07 - System Http Statistics

I was digging through the iControl interfaces the other day and it's still amazing to me, after being around since the beginning of the API, to find new and cool stuff hiding in there.  Today's find was lurking within the System.Statistics interface.  There are literally dozens of method calls to pull out all sorts of useful statistics and the one I picked for today is the System HTTP Statistics which are a rollup of all HTTP Profiles' statistics.  This application will build a report on everything you wanted to know from an HTTP level such as how many 5xx responses have been served to the number of bytes of compressed video and the RAM cache hits and misses.

Usage

The arguments for this application are the address, username, and password of the BIG-IP along with optional argument for the subset of the statistitcs to present.  This is declared in the top of the script with the following param statement.  There is also a Write-Usage function to display the arguments to the user.

param (
  $g_bigip = $null,
  $g_uid = $null,
  $g_pwd = $null,
  $g_subset = $null
);

Set-PSDebug -strict;

function Write-Usage()
{
  Write-Host "Usage: GlobalHttpStats.ps1 host uid pwd [all|http|compression|cache]";
  exit;
}

Initialization

As is with all of my PowerShell scripts, the initialization component will look to see if the iControlSnapIn is loaded into the current PowerShell session.  If not, the Add-PSSnapIn Cmdlet is called to add the snapin into the runtime.  Then a call to the Initialize-F5.iControl cmdlet to setup the connection to the BIG-IP.  If this succeeds, then a call to the Get-GlobalHttpStatistics function is called with the optional subset argument.

function Do-Initialize()
{
  if ( (Get-PSSnapin | Where-Object { $_.Name -eq "iControlSnapIn"}) -eq $null )
  {
    Add-PSSnapIn iControlSnapIn
  }
  $success = Initialize-F5.iControl -HostName $g_bigip -Username $g_uid -Password $g_pwd;
 
  return $success;
}

if ( ($g_bigip -eq $null) -or ($g_uid -eq $null) -or ($g_pwd -eq $null) )
{
  Write-Usage;
}

if ( Do-Initialize )
{
  Get-GlobalHttpStatistics $g_subset;
}
else
{
  Write-Error "ERROR: iControl subsystem not initialized"
}

Global HTTP Statistics

The System.Statistics.get_http_statistics() is the only method that's called here.  It takes no arguements and returns a System.Statistics structure containing the timestamp when the statistics were taken, along with a list of Common.Statistics structures containing the statistic type along with the 64bit value.

To pretty up the presentation, an empty System.Object was created named stat_obj.  The statistics list is iterated upon and each of the statistics that match the subset are added as a property to the stats_obj object using Add-Member Cmdlet.  This way I can use the PowerShell Format-List CmdLet to make a nice columnar display on the console.

You'll notice that all statistics are returned from the method call so the subset feature is purely cosmetic in allowing you to have a more concise output if that is what you desire.

Once all of the statistics have been iterated through, they are written to the console by passing the stats_obj object through the PowerShell pipeline to the Format-List Cmdlet.

function Get-GlobalHttpStatistics()
{
  param($subset = $null);
  if ( $subset -eq $null ) { $subset = "all"; }
 
  Write-Host "Global HTTP Statistics"
 
  $stat_obj = New-Object -TypeName System.Object;
 
  $SystemStatistics = (Get-F5.iControl).SystemStatistics.get_http_statistics();
  $t = Get-TimeFromTimeStamp $SystemStatistics.time_stamp;
  $Statistics = $SystemStatistics.statistics;
 
  $stat_obj | Add-Member -Type noteProperty -Name "Time Stamp" $t;
  $stat_obj | Add-Member -Type noteProperty -Name "--------------------------------" "";

  foreach($Statistic in $Statistics)
  {
    $val = Convert-To64Bit $Statistic.value.high $Statistic.value.low;
    $bDisplay = 0;
    switch ($Statistic.type)
    {
      "STATISTIC_HTTP_COOKIE_PERSIST_INSERTS" {
        $label = "Cookie Persist Header Inserts";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_2XX_RESPONSES" {
        $label = "Responses - 2xx";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_3XX_RESPONSES" {
        $label = "Responses - 3xx";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_4XX_RESPONSES" {
        $label = "Responses - 4xx";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_5XX_RESPONSES" {
        $label = "Responses - 5xx";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_TOTAL_REQUESTS" {
        $label = "Requests  - Total";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_GET_REQUESTS" {
        $label = "Requests  - HTTP GET";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_POST_REQUESTS" {
        $label = "Requests  - HTTP POST";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_V9_REQUESTS" {
        $label = "Requests  - v0.9";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_V10_REQUESTS" {
        $label = "Requests  - v1.0";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_V11_REQUESTS" {
        $label = "Requests  - v1.1";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_V9_RESPONSES" {
        $label = "Responses - v0.9";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_V10_RESPONSES" {
        $label = "Responses - v1.0";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_V11_RESPONSES" {
        $label = "Responses - v1.1";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_MAXIMUM_KEEPALIVE_REQUESTS" {
        $label = "Requests  - Maximum Keepalive";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_BUCKET_1K_RESPONSES" {
        $label = "Responses - under 1k";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_BUCKET_4K_RESPONSES" {
        $label = "Responses - From 1-4k";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_BUCKET_16K_RESPONSES" {
        $label = "Responses - From 4-16k";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_BUCKET_32K_RESPONSES" {
        $label = "Responses - From 16-32k";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_BUCKET_64K_RESPONSES" {
        $label = "Responses - From 32-64k";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "http"))
      }
      "STATISTIC_HTTP_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_NULL_COMPRESSION_BYTES" {
        $label = "     Compression Bytes - Null";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_HTML_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - HTML";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_HTML_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - HTML";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_CSS_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - CSS";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_CSS_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - CSS";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_JS_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - JavaScript";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_JS_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - JavaScript";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_XML_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - XML";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_XML_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - XML";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_SGML_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - SGML";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_SGML_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - SGML";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_PLAIN_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - Plain";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_PLAIN_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - Plain";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_OCTET_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - Octet";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_OCTET_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - Octet";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_IMAGE_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - Image";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_IMAGE_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - Image";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_VIDEO_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - Video";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_VIDEO_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - Video";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_AUDIO_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - Audio";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_AUDIO_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - Audio";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_OTHER_PRE_COMPRESSION_BYTES" {
        $label = " Pre Compression Bytes - Other";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_OTHER_POST_COMPRESSION_BYTES" {
        $label = "Post Compression Bytes - Other";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "compression"))
      }
      "STATISTIC_HTTP_RAM_CACHE_HITS" {
        $label = "RAM Cache - Hits";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "cache"))
      }
      "STATISTIC_HTTP_RAM_CACHE_MISSES" {
        $label = "RAM Cache - Misses";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "cache"))
      }
      "STATISTIC_HTTP_RAM_CACHE_TOTAL_MISSES" {
        $label = "RAM Cache - Total Misses";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "cache"))
      }
      "STATISTIC_HTTP_RAM_CACHE_HIT_BYTES" {
        $label = "RAM Cache - Hit Bytes";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "cache"))
      }
      "STATISTIC_HTTP_RAM_CACHE_MISS_BYTES" {
        $label = "RAM Cache - Miss Bytes";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "cache"))
      }
      "STATISTIC_HTTP_RAM_CACHE_TOTAL_MISS_BYTES" {
        $label = "RAM Cache - Total Miss Bytes";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "cache"))
      }
      "STATISTIC_HTTP_RAM_CACHE_SIZE" {
        $label = "RAM Cache - Size";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "cache"))
      }
      "STATISTIC_HTTP_RAM_CACHE_COUNT" {
        $label = "RAM Cache - Count";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "cache"))
      }
      "STATISTIC_HTTP_RAM_CACHE_EVICTIONS" {
        $label = "RAM Cache - Evictions";
        $bDisplay = (($subset -eq "all") -or ($subset -eq "cache"))
      }
      default {
        $label = $Statistic.type
        $bDisplay = 1;
      }
    }
    if ( $bDisplay -ne 0 )
    {
      $stat_obj | Add-Member -Type noteProperty -Name $label $val;
    }
  }
  $stat_obj | Format-List
}

Utility functions

Several utility functions are included as well that will do the 64 bit math conversion as well as converting the iControl TimeStamp structure to a .Net DateTime.  See the full example in the iControl CodeShare for the content of the Invoke-Inline function.

function Convert-To64Bit()
{
  param($high, $low);
  return Invoke-Inline "result.Add((Convert.ToUInt64($high)<<32) | (Convert.ToUInt64($low)));"
}

function Get-TimeFromTimeStamp()
{
  param ($TimeStamp);
  $dt = new-object -typename System.DateTime
  $dt = $dt.AddYears($TimeStamp.year-1).AddMonths($TimeStamp.month-1).AddDays($TimeStamp.day-1).AddHours($TimeStamp.hour).AddMinutes($TimeStamp.minute).AddSeconds($TimeStamp.second);
  return $dt;
}

Running the Application

The following example shows my somewhat idle BIG-IP's statistics.  While these are not very exciting, the numbers you are likely to see will be more interesting depending on the activity of your HTTP applicationsand whether you are using compression and/or caching.

PS C:\> .\GlobalHttpStats.ps1 bigip_address username password
Global HTTP Statistics

Time Stamp                          : 8/6/2008 12:57:01 PM
--------------------------------    :
Cookie Persist Header Inserts       : 0
Responses - 2xx                     : 80000
Responses - 3xx                     : 0
Responses - 4xx                     : 0
Responses - 5xx                     : 0
Requests  - Total                   : 80000
Requests  - HTTP GET                : 80000
Requests  - HTTP POST               : 0
Requests  - v0.9                    : 0
Requests  - v1.0                    : 80000
Requests  - v1.1                    : 0
Responses - v0.9                    : 0
Responses - v1.0                    : 0
Responses - v1.1                    : 80000
Requests  - Maximum Keepalive       : 1
Responses - under 1k                : 0
Responses - From 1-4k               : 80000
Responses - From 4-16k              : 0
Responses - From 16-32k             : 0
Responses - From 32-64k             : 0
 Pre Compression Bytes              : 0
Post Compression Bytes              : 0
     Compression Bytes - Null       : 0
 Pre Compression Bytes - HTML       : 0
Post Compression Bytes - HTML       : 0
 Pre Compression Bytes - CSS        : 0
Post Compression Bytes - CSS        : 0
 Pre Compression Bytes - JavaScript : 0
Post Compression Bytes - JavaScript : 0
 Pre Compression Bytes - XML        : 0
Post Compression Bytes - XML        : 0
 Pre Compression Bytes - SGML       : 0
Post Compression Bytes - SGML       : 0
 Pre Compression Bytes - Plain      : 0
Post Compression Bytes - Plain      : 0
 Pre Compression Bytes - Octet      : 0
Post Compression Bytes - Octet      : 0
 Pre Compression Bytes - Image      : 0
Post Compression Bytes - Image      : 0
 Pre Compression Bytes - Video      : 0
Post Compression Bytes - Video      : 0
 Pre Compression Bytes - Audio      : 0
Post Compression Bytes - Audio      : 0
 Pre Compression Bytes - Other      : 0
Post Compression Bytes - Other      : 0
RAM Cache - Hits                    : 0
RAM Cache - Misses                  : 0
RAM Cache - Total Misses            : 0
RAM Cache - Hit Bytes               : 0
RAM Cache - Miss Bytes              : 0
RAM Cache - Total Miss Bytes        : 0
RAM Cache - Size                    : 0
RAM Cache - Count                   : 0
RAM Cache - Evictions               : 0

Conclusion

This article illustrated how to pull out HTTP statistics that you probably didn't know were available to you.  There are several other interesting statistics available in the System.Statistics interface that I'll illustrate in future articles so be on the look out!

 

The entire script can be found in the iControl CodeShare under PsSystemHttpStats.

 

Published Aug 07, 2008
Version 1.0

1 Comment

  • The HTTP::header page says about

    HTTP::header replace  []
    the following:

     

    Replaces the value of the last occurrence of the header named with the string . This command performs a header insertion if the header was not present. If there are multiple instances of the header, only the last instance is replaced.

     

     

    Just wondering, wouldn't it be safer to remove all existing instances of

    X-Forwarded-For
    first, and then insert our own? That would make sure there's really only one instance of
    X-Forwarded-For
    passed to the back-end web application:

     

    when HTTP_REQUEST {
        HTTP::header remove X-Forwarded-For
        HTTP::header insert X-Forwarded-For [IP::client_addr]
    }
    
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\n

Introduction

\n

Quick, take a look at the following list and answer this question: \"What do these movies have in common?\"

\n\n

If you answered, \"They're all about artificial intelligence\", yes, but...

\n

If you answered, \"They're all about artificial intelligence that went terribly, sometimes horribly wrong\", you'd be absolutely correct. The simple fact is...artificial intelligence (AI) can be scary. Proponents for, and opponents against will disagree on many aspects, but they can all at least acknowledge there's a handful of ways to do AI correctly...and a million ways to do it badly. Not to be an alarmist, but while SkyNet was fictional, semi-autonomous guns on robot dogs is not...

\n

But then why am I talking about this on a technical forum you may ask? Well, when most of the above films were made, AI was largely still science fiction. That's clearly not the case anymore, and tools like ChatGPT are just the tip of the coming AI frontier. To be fair, I don't make the claim that all AI is bad, and many have indeed lauded ChatGPT and other generative AI tools as the next great evolution in technology. But it's also fair to say that generative AI tools, like ChatGPT, have a very real potential to cause harm. At the very least, these tools can be convincing, even when they're wrong. And worse, they could lead to sensitive information disclosures. One only has to do a cursory search to find a few examples of questionable behavior:

\n\n

But again...what does this have to do with a technical forum? And more important, what does this have to do with you? Simply stated, if you are in an organization where generative AI tools could be abused, understanding, and optionally controlling how and when these tools are accessed, could help to prevent the next big exploit or disclosure. If you search beyond the above links, you'll find an abundance of information on both the benefits, and security concerns of AI technologies. And ultimately you'll still be left to decide if these AI tools are safe for your organization. It may simply be worthwhile to understand WHAT tools are being used. And in some cases, it may be important to disable access to these.

\n

Given the general depth and diversity of AI functions within arms-reach today, and growing, it'd be irresponsible to claim \"complete awareness\". The bulk of these functions are delivered over standard HTTPS, so the best course of action will be to categorize on known assets, and adjust as new ones come along. As of the publishing of this article, the industry has yet to define a standard set of categories for AI, and specifically, generative AI. So in this article, we're going to build one and attach that to F5 BIG-IP SSL Orchestrator to enable proactive detection and optional control of Internet-based AI tool access in your organization. Let's get started!

\n

BIG-IP SSL Orchestrator Use Case: Detecting Generative AI

\n

The real beauty of this solution is that it can be implemented faster than it probably took to read the above introduction. Essentially, you're going to create a custom URL category on F5 BIG-IP, populate that with known generative AI URLs, and employ that custom category in a BIG-IP SSL Orchestrator security policy rule. Within that policy rule, you can elect to dynamically decrypt and send the traffic to the set of inspection products in your security enclave.

\n\n
curl -s https://raw.githubusercontent.com/f5devcentral/sslo-script-tools/main/sslo-generative-ai-categories/sslo-create-ai-category.sh |bash
\n\n

\n

With Summary Logging enabled in the BIG-IP SSL Orchestrator topology configuration, you'll also get Syslog reporting for each AI resource match - who made the request, to what, and when.

\n

The URL category is employed here to identify known AI tools. In this instance, BIG-IP SSL Orchestrator is used to make that assessment and act on it (i.e. allow, TLS intercept, service chain, log). Should you want even more granular control over conditions and actions of the decrypted AI tool traffic, you can also deploy an F5 Secure Web Gateway Services policy inside the SSL Orchestrator service chain. With SWG, you can expand beyond simple detection and blocking, and build more complex rules to decide who can access, when, and how.

\n

It should be said that beyond logging, allowing, or denying access to generative AI tools, SSL Orchestrator is also going to provide decryption and the opportunity to dynamically steer the decrypted AI traffic to any set of security products best suited to protect against any potential malware. 

\n

Summary

\n

As previously alluded, this is not an exhaustive list of AI tool URLs. Not even close. But it contains the most common you'll see in the wild. The above script populates with an initial list of URLs that you are free to update as you become aware of new one. And of course we invite you to recommend additional AI tools to add to this list. 

\n

 

\n

References: https://github.com/f5devcentral/sslo-script-tools/tree/main/sslo-generative-ai-categories

\n

 

\n

 

\n

 

\n

 

\n

 

\n

 

\n

 

\n

 

\n
","body@stringLength":"11382","rawBody":"
\n

Introduction

\n

Quick, take a look at the following list and answer this question: \"What do these movies have in common?\"

\n\n

If you answered, \"They're all about artificial intelligence\", yes, but...

\n

If you answered, \"They're all about artificial intelligence that went terribly, sometimes horribly wrong\", you'd be absolutely correct. The simple fact is...artificial intelligence (AI) can be scary. Proponents for, and opponents against will disagree on many aspects, but they can all at least acknowledge there's a handful of ways to do AI correctly...and a million ways to do it badly. Not to be an alarmist, but while SkyNet was fictional, semi-autonomous guns on robot dogs is not...

\n

But then why am I talking about this on a technical forum you may ask? Well, when most of the above films were made, AI was largely still science fiction. That's clearly not the case anymore, and tools like ChatGPT are just the tip of the coming AI frontier. To be fair, I don't make the claim that all AI is bad, and many have indeed lauded ChatGPT and other generative AI tools as the next great evolution in technology. But it's also fair to say that generative AI tools, like ChatGPT, have a very real potential to cause harm. At the very least, these tools can be convincing, even when they're wrong. And worse, they could lead to sensitive information disclosures. One only has to do a cursory search to find a few examples of questionable behavior:

\n\n

But again...what does this have to do with a technical forum? And more important, what does this have to do with you? Simply stated, if you are in an organization where generative AI tools could be abused, understanding, and optionally controlling how and when these tools are accessed, could help to prevent the next big exploit or disclosure. If you search beyond the above links, you'll find an abundance of information on both the benefits, and security concerns of AI technologies. And ultimately you'll still be left to decide if these AI tools are safe for your organization. It may simply be worthwhile to understand WHAT tools are being used. And in some cases, it may be important to disable access to these.

\n

Given the general depth and diversity of AI functions within arms-reach today, and growing, it'd be irresponsible to claim \"complete awareness\". The bulk of these functions are delivered over standard HTTPS, so the best course of action will be to categorize on known assets, and adjust as new ones come along. As of the publishing of this article, the industry has yet to define a standard set of categories for AI, and specifically, generative AI. So in this article, we're going to build one and attach that to F5 BIG-IP SSL Orchestrator to enable proactive detection and optional control of Internet-based AI tool access in your organization. Let's get started!

\n

BIG-IP SSL Orchestrator Use Case: Detecting Generative AI

\n

The real beauty of this solution is that it can be implemented faster than it probably took to read the above introduction. Essentially, you're going to create a custom URL category on F5 BIG-IP, populate that with known generative AI URLs, and employ that custom category in a BIG-IP SSL Orchestrator security policy rule. Within that policy rule, you can elect to dynamically decrypt and send the traffic to the set of inspection products in your security enclave.

\n\ncurl -s https://raw.githubusercontent.com/f5devcentral/sslo-script-tools/main/sslo-generative-ai-categories/sslo-create-ai-category.sh |bash\n\n

\n

With Summary Logging enabled in the BIG-IP SSL Orchestrator topology configuration, you'll also get Syslog reporting for each AI resource match - who made the request, to what, and when.

\n

The URL category is employed here to identify known AI tools. In this instance, BIG-IP SSL Orchestrator is used to make that assessment and act on it (i.e. allow, TLS intercept, service chain, log). Should you want even more granular control over conditions and actions of the decrypted AI tool traffic, you can also deploy an F5 Secure Web Gateway Services policy inside the SSL Orchestrator service chain. With SWG, you can expand beyond simple detection and blocking, and build more complex rules to decide who can access, when, and how.

\n

It should be said that beyond logging, allowing, or denying access to generative AI tools, SSL Orchestrator is also going to provide decryption and the opportunity to dynamically steer the decrypted AI traffic to any set of security products best suited to protect against any potential malware. 

\n

Summary

\n

As previously alluded, this is not an exhaustive list of AI tool URLs. Not even close. But it contains the most common you'll see in the wild. The above script populates with an initial list of URLs that you are free to update as you become aware of new one. And of course we invite you to recommend additional AI tools to add to this list. 

\n

 

\n

References: https://github.com/f5devcentral/sslo-script-tools/tree/main/sslo-generative-ai-categories

\n

 

\n

 

\n

 

\n

 

\n

 

\n

 

\n

 

\n

 

\n
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