Tutorials

Discover

PER INIETTARE ALTRI COMANDI INSERIRE PRIMA QUELLO CHE IL SITO SI ASPETTA E POI UTILIZZARE && E TUTTI I COMANDI CHE VUOI. This vulnerability exists because applications often use functions in programmi

#exploitation#web#sql-injection

PER INIETTARE ALTRI COMANDI INSERIRE PRIMA QUELLO CHE IL SITO SI ASPETTA E POI UTILIZZARE && E TUTTI I COMANDI CHE VUOI.

This vulnerability exists because applications often use functions in programming languages such as PHP, Python and NodeJS to pass data to and to make system calls on the machine’s operating system. For example, taking input from a field and searching for an entry into a file. Take this code snippet below as an example:

In this code snippet, the application takes data that a user enters in an input field named $title to search a directory for a song title. Let’s break this down into a few simple steps.

![](data:image/png;base64,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)

1. The application stores MP3 files in a directory contained on the operating system.

2. The user inputs the song title they wish to search for. The application stores this input into the $title variable.

3. The data within this $title variable is passed to the command grep to search a text file named songtitle.txt for the entry of whatever the user wishes to search for.

4. The output of this search of songtitle.txt will determine whether the application informs the user that the song exists or not.

Now, this sort of information would typically be stored in a database; however, this is just an example of where an application takes input from a user to interact with the application’s operating system.

An attacker could abuse this application by injecting their own commands for the application to execute. Rather than using grep to search for an entry in songtitle.txt, they could ask the application to read data from a more sensitive file.

Command Injection can be detected in mostly one of two ways:

  •  Blind command injection 
  • Verbose command injection 

BIND

I have defined these two methods in the table below, where the two sections underneath will explain these in greater detail.

Blind is a type of injection is where there is no direct output from the application when testing payloads. You will have to investigate the behaviours of the application to determine whether or not your payload was successful.

For this type of command injection, we will need to use payloads that will cause some time delay. For example, the ping and sleep commands are significant payloads to test with. Using ping as an example, the application will hang for x seconds in relation to how many pings you have specified.

Another method of detecting blind command injection is by forcing some output. This can be done by using redirection operators such as >. If you are unfamiliar with this, I recommend checking out the Linux fundamentals module. For example, we can tell the web application to execute commands such as whoami and redirect that to a file. We can then use a command such as cat to read this newly created file’s contents.

The curl command is a great way to test for command injection. This is because you are able to use curl to deliver data to and from an application in your payload. Take this code snippet below as an example, a simple curl payload to an application is possible for command injection.

curl http://vulnerable.app/process.php%3Fsearch%3DThe%20Beatles%3B%20whoami

VERBOSE

Verbose is a type of injection is where there is direct feedback from the application once you have tested a payload. For example, running the whoami command to see what user the application is running under. The web application will output the username on the page directly.

Detecting command injection this way is arguably the easiest method of the two. Verbose command injection is when the application gives you feedback or output as to what is happening or being executed.

For example, the output of commands such as ping or whoami is directly displayed on the web application.

Useful payloads

I have compiled some valuable payloads for both Linux & Windows into the tables below.

Linux

  • whoami = See what user the application is running under. 
  • ls = List the contents of the current directory. You may be able to find files such as configuration files, environment files (tokens and application keys), and many more valuable things. 
  • ping = This command will invoke the application to hang. This will be useful in testing an application for blind command injection. 
  • sleep = This is another useful payload in testing an application for blind command injection, where the machine does not have ping installed. 
  • nc = Netcat can be used to spawn a reverse shell onto the vulnerable application. You can use this foothold to navigate around the target machine for other services, files, or potential means of escalating privileges. 
Windows
  • whoami = See what user the application is running under. 
  • dir = List the contents of the current directory. You may be able to find files such as configuration files, environment files (tokens and application keys), and many more valuable things. 
  • ping = This command will invoke the application to hang. This will be useful in testing an application for blind command injection. 
  • timeout = This command will also invoke the application to hang. It is also useful for testing an application for blind command injection if the ping command is not installed. 
LISTA DI PAYLOAD: https://github.com/payloadbox/command-injection-payload-list