AzureHunter - A Cloud Forensics Powershell Module To Run Threat Hunting Playbooks On Data From Azure And O365


A Powershell module to run threat hunting playbooks on data from Azure and O365 for Cloud Forensics purposes.


Getting Started

1. Check that you have the right O365 Permissions

The following roles are required in Exchange Online, in order to be able to have read only access to the UnifiedAuditLog: View-Only Audit Logs or Audit Logs.

These roles are assigned by default to the Compliance Management role group in Exchange Admin Center.

NOTE: if you are a security analyst, incident responder or threat hunter and your organization is NOT giving you read-only access to these audit logs, you need to seriously question what their detection and response strategy is!

More information:

NOTE: your admin can verify these requirements by running Get-ManagementRoleEntry "*\Search-UnifiedAuditLog" in your Azure tenancy cloud shell or local powershell instance connected to Azure.


2. Ensure ExchangeOnlineManagement v2 PowerShell Module is installed

Please make sure you have ExchangeOnlineManagement (EXOv2) installed. You can find instructions on the web or go directly to my little KB on how to do it at the soc analyst scrolls


3. Either Clone the Repo or Install AzureHunter from the PSGallery

3.1 Cloning the Repo
  1. Clone this repository
  2. Import the module Import-Module .\source\AzureHunter.psd1

3.2 Install AzureHunter from the PSGallery

All you need to do is:

Install-Module AzureHunter -Scope CurrentUser
Import-Module AzureHunter

What is the UnifiedAuditLog?

The unified audit log contains user, group, application, domain, and directory activities performed in the Microsoft 365 admin center or in the Azure management portal. For a complete list of Azure AD events, see the list of RecordTypes.

The UnifiedAuditLog is a great source of cloud forensic information since it contains a wealth of data on multiple types of cloud operations like ExchangeItems, SharePoint, Azure AD, OneDrive, Data Governance, Data Loss Prevention, Windows Defender Alerts and Quarantine events, Threat intelligence events in Microsoft Defender for Office 365 and the list goes on and on!


AzureHunter Data Consistency Checks

AzureHunter implements some useful logic to ensure that the highest log density is mined and exported from Azure & O365 Audit Logs. In order to do this, we run two different operations for each cycle (batch):

  1. Automatic Window Time Reduction: this check ensures that the time interval is reduced to the optimal interval based on the ResultSizeUpperThreshold parameter which by default is 20k. This means, if the amounts of logs returned within your designated TimeInterval is higher than ResultSizeUpperThreshold, then an automatic adjustment will take place.
  2. Sequential Data Check: are returned Record Indexes sequentially valid?



Usage

Ensure you connect to ExchangeOnline

It's recommended that you run Connect-ExchangeOnline before running any AzureHunter commands. The program checks for an active remote session and attempts to connect but some versions of Powershell don't allow this and you need to do it yourself regardless.


Run AzureHunter

AzureHunter has two main commands: Search-AzureCloudUnifiedLog and Invoke-HuntAzureAuditLogs.

The purpose of Search-AzureCloudUnifiedLog is to implement a complex logic to ensure that the highest percentage of UnifiedAuditLog records are mined from Azure. By default, it will export extracted and deduplicated records to a CSV file.

The purpose of Invoke-HuntAzureAuditLogs is to provide a flexible interface into hunting playbooks stored in the playbooks folder. These playbooks are designed so that anyone can contribute with their own analytics and ideas. So far, only two very simple playbooks have been developed: AzHunter.Playbook.Exporter and AzHunter.Playbook.LogonAnalyser. The Exporter takes care of exporting records after applying de-duplication and sorting operations to the data. The LogonAnalyser is in beta mode and extracts events where the Operations property is UserLoggedIn. It is an example of what can be done with the playbooks and how easy it is to construct one.

When running Search-AzureCloudUnifiedLog, you can pass in a list of playbooks to run per log batch. Search-AzureCloudUnifiedLog will pass on the batch to the playbooks via Invoke-HuntAzureAuditLogs.

Finally Invoke-HuntAzureAuditLogs can, be used standalone. If you have an export of UnifiedAuditLog records, you can load them into a Powershell Array and pass them on to this command and specify the relevant playbooks.


Example 1 | Run search on Azure UnifiedAuditLog and extract records to CSV file (default behaviour)
Search-AzureCloudUnifiedLog -StartDate "2020-03-06T10:00:00" -EndDate "2020-06-09T12:40:00" -TimeInterval 12 -AggregatedResultsFlushSize 5000 -Verbose

This command will:

  • Search data between the dates in StartDate and EndDate
  • Implement a window of 12 hours between these dates, which will be used to sweep the entire length of the time interval (StartDate --> EndDate). This window will be automatically reduced and adjusted to provide the maximum amount of records within the window, thus ensuring higher quality of output. The time window slides sequentially until reaching the EndDate.
  • The AggregatedResultsFlushSize parameter speficies the batches of records that will be processed by downstream playbooks. We are telling AzureHunter here to process the batch of records once the total amount reaches 5000. This way, you can get results on the fly, without having to wait for hours until a huge span of records is exported to CSV files.

Example 2 | Run Hunting Playbooks on CSV File

We assume that you have exported UnifiedAuditLog records to a CSV file, if so you can then do:

$RecordArray = Import-Csv .\my-exported-records.csv
Invoke-HuntAzureAuditLogs -Records $RecordArray -Playbooks 'AzHunter.Playbook.LogonAnalyser'

You can run more than one playbook by separating them via commas, they will run sequentially:

$RecordArray = Import-Csv .\my-exported-records.csv
Invoke-HuntAzureAuditLogs -Records $RecordArray -Playbooks 'AzHunter.Playbook.Exporter', 'AzHunter.Playbook.LogonAnalyser'

Why?

Since the aftermath of the SolarWinds Supply Chain Compromise many tools have emerged out of deep forges of cyberforensicators, carefully developed by cyber blacksmith ninjas. These tools usually help you perform cloud forensics in Azure. My intention with AzureHunter is not to bring more noise to this crowded space, however, I found myself in the need to address some gaps that I have observed in some of the tools in the space (I might be wrong though, since there is a proliferation of tools out there and I don't know them all...):

  1. Azure cloud forensic tools don't usually address the complications of the Powershell API for the UnifiedAuditLog. This API is very unstable and inconsistent when exporting large quantities of data. I wanted to develop an interface that is fault tolerant (enough) to address some of these issues focusing solely on the UnifiedAuditLog since this is the Azure artefact that contains the most relevant and detailed activity logs for users, applications and services.
  2. Azure cloud forensic tools don't usually put focus on developing extensible Playbooks. I wanted to come up with a simple framework that would help the community create and share new playbooks to extract different types of meaning off the same data.

If, however, you are looking for a more feature rich and mature application for Azure Cloud Forensics I would suggest you check out the excellent work performed by the cyber security experts that created the following applications:

I'm sure there is a more extensive list of tools, but these are the ones I could come up with. Feel free to suggest some more.


Why Powershell?
  1. I didn't want to re-invent the wheel
  2. Yes the Powershell interface to Azure's UnifiedAuditLog is unstable, but in terms of time-to-production it would have taken me an insane amount of hours to achieve the same thing writing a whole new interface in languages such as .NET, Golang or Python to achieve the same objectives. In the meanwhile, the world of Cyber Defense and Response does not wait!

TODO
  • Specify standard playbook metadata attributes that need to be present so that AzureHunter can leverage them.
  • Allow for playbooks to specify dependencies on other playbooks so that one needs to be run before the other. Playbook chaining could produce interesting results and avoid code duplication.
  • Develop Pester tests and Coveralls results.
  • Develop documentation in ReadTheDocs.
  • Allow for the specification of playbooks in SIGMA rule standard (this might require some PR to the SIGMA repo)

More Information

For more information


Credits


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Evolving Logic Until Pass Tests Automatically

Automating the automation is still a challenge, but in some cases it's possible under certain situations.

In 2017 I created logic-evolver, one of my experiments for creating logic automatically or better said evolving logic automatically.

In some way, the computer create its own program that satisfies a set of tests defined by a human.

https://github.com/sha0coder/logic-evolver

This implementation in rust, contains a fast cpu emulator than can execute one million instructions in less than two seconds. And a simple genetic algorithm to do the evolution.


Here we create the genetic algorithm, and configure a population of 1000 individuals, and the top 5 to crossover. We run the genetic algorithm with 500 cycles maximum.
Note that in this case the population are programs initially random until take the correct shape.


An evaluation function is provided in the run method as well, and looks like this:




The evaluation function receives a CPU object, to compute a test you need to set the initial parameters, run the program and set a scoring regarding the return value.


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Attacking Financial Malware Botnet Panels - SpyEye

This is the second blog post in the "Attacking financial malware botnet panels" series. After playing with Zeus, my attention turned to another old (and dead) botnet, SpyEye. From an ITSEC perspective, SpyEye shares a lot of vulnerabilities with Zeus. 

The following report is based on SpyEye 1.3.45, which is old, and if we are lucky, the whole SpyEye branch will be dead soon. 

Google dorks to find SpyEye C&C server panel related stuff:

  • if the img directory gets indexed, it is rather easy, search for e.g. inurl:b-ftpbackconnect.png
  • if the install directory gets indexed, again, easy, search for e.g. inurl:spylogo.png
  • also, if you find a login screen, check the css file (style.css), and you see #frm_viewlogs, #frm_stat, #frm_botsmon_country, #frm_botstat, #frm_gtaskloader and stuff like that, you can be sure you found it
  • otherwise, it is the best not to Google for it, but get a SpyEye sample and analyze it
And this is how the control panel login looks like, nothing sophisticated:


The best part is that you don't have to guess the admin's username ;)

This is how an average control panel looks like:


Hack the Planet! :)

Boring vulns found (warning, an almost exact copy from the Zeus blog post)


  • Clear text HTTP login - you can sniff the login password via MiTM, or steal the session cookies
  • No password policy - admins can set up really weak passwords
  • No anti brute-force - you can try to guess the admin's password. There is no default username, as there is no username handling!
  • Password autocomplete enabled - boring
  • Missing HttpOnly flag on session cookie - interesting when combining with XSS
  • No CSRF protection - e.g. you can upload new exe, bin files, turn plugins on/off :-( boring. Also the file extension check can be bypassed, but the files are stored in the database, so no PHP shell this time. If you check the following code, you can see that even the file extension and type is checked, and an error is shown, but the upload process continues. And even if the error would stop the upload process, the check can be fooled by setting an invalid $uptype. Well done ...
        if ($_FILES['file']['tmp_name'] && ($_FILES['file']['size'] > 0))         {                 $outstr = "<br>";                 set_time_limit(0);                 $filename = str_replace(" ","_",$_FILES['file']['name']);                 $ext = substr($filename, strrpos($filename, '.')+1);                 if( $ext==='bin' && $uptype!=='config' ) $outstr .= "<font class='error'>Bad CONFIG extension!</font><br>";                 if( $ext==='exe' && $uptype!=='body' && $uptype!=='exe' ) $outstr .= "<font class='error'>Bad extension!</font><br>";                  switch( $uptype )                 {                 case 'body': $ext = 'b'; break;                 case 'config': $ext = 'c'; break;                 case 'exe': $ext = 'e'; break;                 default: $ext = 'e';                 }                 $_SESSION['file_ext'] = $ext;                 if( isset($_POST['bots']) && trim($_POST['bots']) !== '')                 {                         $bots = explode(' ', trim($_POST['bots']));                         //writelog("debug.log", trim($_POST['bots']));                         $filename .= "_".(LastFileId()+1);                 }                 if( FileExist($filename) ) $filename .= LastFileId();                 $tmpName  = $_FILES['file']['tmp_name'];                 $fileSize = $_FILES['file']['size'];                 $fileType = $_FILES['file']['type'];                 ## reading all file for calculating hash                 $fp = fopen($tmpName, 'r'); 
  • Clear text password storage - the MySQL passwords are stored in php files, in clear text. Also, the login password to the form panel is stored in clear text.
  • MD5 password - the passwords stored in MySQL are MD5 passwords. No PBKDF2, bcrypt, scrypt, salt, whatever. MD5. Just look at the pure simplicity of the login check, great work!
$query = "SELECT * FROM users_t WHERE uPswd='".md5($pswd)."'";
  • ClickJacking - really boring stuff

SQL injection


SpyEye has a fancy history of SQL injections. See details here, here, here, video here and video here.

It is important to highlight the fact that most of the vulnerable functions are reachable without any authentication, because these PHP files lack user authentication at the beginning of the files.

But if a C&C server owner gets pwned through this vuln, it is not a good idea to complain to the developer, because after careful reading of the install guide, one can see:

"For searching info in the collector database there is a PHP interface as formgrabber admin panel. The admin panel is not intended to be found on the server. This is a client application."

And there are plenty of reasons not to install the formgrabber admin panel on any internet reachable server. But this fact leads to another possible vulnerability. The user for this control panel is allowed to remotely login to the MySQL database, and the install guide has pretty good passwords to be reused. I mean it looks pretty secure, there is no reason not to use that.

CREATE USER 'frmcpviewer' IDENTIFIED BY 'SgFGSADGFJSDGKFy2763272qffffHDSJ'; 

Next time you find a SpyEye panel, and you can connect to the MySQL database, it is worth a shot to try this password.

Unfortunately the default permissions for this user is not enough to write files (select into outfile):

Access denied for user 'frmcpviewer' (using password: YES)

I also made a little experiment with this SQL injection vulnerability. I did set up a live SpyEye botnet panel, created the malware install binaries (droppers), and sent the droppers to the AV companies. And after more and more sandboxes connected to my box, someone started to exploit the SQL injection vulnerability on my server!

63.217.168.90 - - [16/Jun/2014:04:43:00 -0500] "GET /form/frm_boa-grabber_sub.php?bot_guid=&lm=3&dt=%20where%201=2%20union%20select%20@a:=1%20from%20rep1%20where%20@a%20is%20null%20union%20select%20@a:=%20@a%20%2b1%20union%20select%20concat(id,char(1,3,3,7),bot_guid,char(1,3,3,7),process_name,char(1,3,3,7),hooked_func,char(1,3,3,7),url,char(1,3,3,7),func_data)%20from%20rep2_20140610%20where%20@a=3%23 HTTP/1.1" 200 508 "-" "Mozilla/4.0 (compatible; MSIE 7.0; Windows NT 5.1; .NET CLR 1.1.4322; .NET CLR 2.0.50727; .NET CLR 3.0.4506.2152; .NET CLR 3.5.30729; .NET4.0C; .NET4.0E)"

Although the query did not return any meaningful data to the attacker (only data collected from sandboxes), it raises some legal questions.

Which company/organization has the right to attack my server? 
  • police (having a warrant)
  • military (if we are at war)
  • spy agencies (always/never, choose your favorite answer)
  • CERT organisations?

But, does an AV company or security research company has the legal right to attack my server? I don't think so... The most problematic part is when they hack a server (without authorization), and sell the stolen information in the name of "intelligence service". What is it, the wild wild west?

The SQLi clearly targets the content of the stolen login credentials. If this is not an AV company, but an attacker, how did they got the SpyEye dropper? If this is an AV company, why are they stealing the stolen credentials? Will they notify the internet banking owners about the stolen credentials for free? Or will they do this for money?

And don't get me wrong, I don't want to protect the criminals, but this is clearly a grey area in the law. From an ethical point of view, I agree with hacking the criminal's servers. As you can see, the whole post is about disclosing vulns in these botnet panels. But from a legal point of view, this is something tricky ... I'm really interested in the opinion of others, so comments are warmly welcome.

On a side note, I was interested how did the "attackers" found the SpyEye form directory? Easy, they brute-forced it, with a wordlist having ~43.000 entries.

(Useless) Cross site scripting


Although parts of the SpyEye panel are vulnerable to XSS, it is unlikely that you will to find these components on the server, as these codes are part of the install process, and the installer fails to run if a valid install is found. And in this case, you also need the DB password to trigger the vuln...



Session handling


This is a fun part. The logout button invalidates the session only on the server side, but not on the client side. But if you take into consideration that the login process never regenerates the session cookies (a.k.a session fixation), you can see that no matter how many times the admin logs into the application, the session cookie remains the same (until the admin does not close the browser). So if you find a session cookie which was valid in the past, but is not working at the moment, it is possible that this cookie will be valid in the future ...

Binary server


Some parts of the SpyEye server involve running a binary server component on the server, to collect the form data. It would be interesting to fuzz this component (called sec) for vulns.

Log files revealed


If the form panel mentioned in the SQLi part is installed on the server, it is worth visiting the <form_dir>/logs/error.log file, you might see the path of the webroot folder, IP addresses of the admins, etc.

Reading the code


Sometimes reading the code you can find code snippets, which is hard to understand with a clear mind:

$content = fread($fp, filesize($tmpName)); if ( $uptype === 'config' )     $md5 = GetCRC32($content); else $md5 = md5($content); .... <script> if (navigator.userAgent.indexOf("Mozilla/4.0") != -1) {         alert("Your browser is not support yet. Please, use another (FireFox, Opera, Safari)");         document.getElementById("div_main").innerHTML = "<font class=\'error\'>ChAnGE YOuR BRoWsEr! Dont use BUGGED Microsoft products!</font>"; } </script> 

Decrypting SpyEye communication

It turned out that the communication between the malware and C&C server is not very sophisticated (Zeus does a better job at it, because the RC4 key stream is generated from the botnet password).

function DeCode($content) {         $res = '';         for($i = 0; $i < strlen($content); $i++)         {                 $num = ord($content[$i]);                 if( $num != 219) $res .= chr($num^219);         }         return $res; } 
Fixed XOR key, again, well done ...
This means that it is easy to create a script, which can communicate with the SpyEye server. For example this can be used to fill in the SpyEye database with crap data.


import binascii import requests import httplib, urllib  def xor_str(a, b):     i = 0     xorred = ''     for i in range(len(a)):         xorred += chr(ord(a[i])^b)     return xorred              b64_data= "vK6yv+bt9er17O3r6vqPnoiPjZb2i5j6muvo6+rjmJ/9rb6p5urr6O/j/bK+5uP16/Xs7evq9ers7urv/bSo5u316vXs7evq/a6v5pq/trK1/bi4qbjm453j6uPv7Or9tr/u5um+uuvpve3p7eq/4+vsveLi7Lnqvrjr6ujs7rjt7rns/au3vOa5sre3srW8s7q2tr6p4Lm3tLiw4LmuvKm+q7Spr+C4uPu8qbq5ub6p4Li4vKm6ubm+qeC4qb6/sq+8qbq54LiuqK+0tri0tbW+uK+0qeC/v7So4L+1qLqrsuC+trqyt7ypurm5vqngvb24vqmvvKm6ubm+qeC9/aivuq/mtLW3srW+" payload =xor_str (binascii.a2b_base64(b64_data), 219)  print ("the decrypted payload is: " + payload) params = (binascii.b2a_base64(xor_str(payload,219))) payload = {'data': params} r = requests.post("http://spyeye.localhost/spyeye/_cg/gate.php", data=payload) 

Morale of the story?


Criminals produce the same shitty code as the rest of the world, and thanks to this, some of the malware operators get caught and are behind bars now. And the law is behind the reality, as always.

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