commix v3.8 releases: Automated All-in-One OS command injection and exploitation tool
Commix (short for [comm]and [i]njection e[x]ploiter) is an automated tool written by Anastasios Stasinopoulos (@ancst) that can be used from web developers, penetration testers or even security researchers in order to test web-based applications with the view to find bugs, errors or vulnerabilities related to command injection attacks. By using this tool, it is very easy to find and exploit a command injection vulnerability in a certain vulnerable parameter or HTTP header.
- Fixed: Multiple bug-fixes regarding several reported unhandled exceptions.
- Revised: Minor improvement regarding parsing raw HTTP request from a file (i.e.
- Revised: Minor improvement regarding dynamic code evaluation technique (i.e. command execution output).
- Fixed: Minor bug-fix regarding
--skip-emptyflag, for skipping the testing of the parameter(s) with empty value(s).
- Revised: Minor improvement regarding tamper script “uninitializedvariable.py”, for adding randomly generated uninitialized bash variables between the characters of each command of the generated payloads.
- Revised: Minor improvement regarding skipping further tests involving target that an injection point has already been detected.
- Revised: Minor code refactoring regarding multiple tamper scripts (i.e. “backslashes.py”, “dollaratsigns.py”, “doublequotes.py”, “singlequotes.py”, “uninitializedvariable.py”).
- Added: New tamper script “rev.py” that reverses (characterwise) the user-supplied operating system commands (for *nix targets).
- Fixed: Minor bug-fix regarding checking for similarity in provided parameter(s) name(s) and value(s).
- Fixed: Minor bug-fix regarding forcing usage of SSL/HTTPS requests toward the target (i.e.
- Fixed: Minor bug-fix regarding setting custom output directory path (i.e
- Added: Support for “Bearer” HTTP authentication type.
- Revised: Minor improvement regarding tamper script “xforwardedfor.py” (that appends a fake HTTP header
- Fixed: Minor bug-fix regarding not ignoring specified injection technique(s) when
--flush-sessionoptions are set.
- Replaced: The
--dependenciesoption has been replaced with
--ignore-dependencies, regarding ignoring all required third-party library dependencies.
- Added: New option
--alertto run host OS command(s) when injection point is found.
1. Results-based command injections.
In results-based command injection attacks the attacker can directly infer the result of the injected command through the response of the web application. We divide results-based command injection attacks into the following two techniques.
1.1 Classic results-based command injection.
The classic results-based technique is the simplest and most common command injection attack. More specifically, the attacker makes use of several common operators, which either concatenate the initial genuine commands with the injected ones or exclude the initial genuine commands executing only the injected ones.
Shellshock bug which was discovered in a tool known as Bash that is widely used by the Unix operating system and many of its variants, including Linux open source software and Apple’s OSX. 
1.1.3 ICMP exfiltration.
1.1.4 DNS exfiltration.
The DNS exfiltration technique, exfiltrates data using DNS requests. 
1.2 Dynamic code evaluation (aka eval-based) technique.
2. Blind Command Injections.
The main difference between results-based command injection attacks and blind command injection attacks lies to the way that the data is retrieved after the execution of the injected shell command. More specifically, we have observed that there are cases where an application, after the execution of the injected command does not return any result back to the attacker. In these cases, the attacker can indirectly infer the output of theinjected command using the following two techniques.We divide blind command injection attacks into two different techniques:
- Time-based (Blind)
- File-based (Semiblind)
2.1 Time-based technique (Blind).
Through this technique, an attacker injects and executes commands that introduce time delay. By measuring the time it took the application to respond, the attacker is able to identify if the command executed successfully or failed. Note that the function in Bash shell that can introduce time delays is
sleep. Thus, by observing time delays the attacker is capable of deducing the result of the injected command.
2.2 File-based technique (Semiblind).
The rationale behind this technique is based on a very simple logic: when the attacker is not able to observe the results of the execution of an injected command, then he/she can write them to a file, which is accessible to the attacker. This command injection technique follows exactly the same methodology as the Classic results-based technique with the main difference that, after the execution of the injected command, an output redirection is performed using the
> operator, in order to save the output of the command to a text file. Due to the logic of this technique, the file-based can be also classified as
semiblind command injection technique, as the random text file containing the results of the desired shell command execution is visible to everyone.
2.2.1 Tempfile-based technique (Semiblind).
An essential prerequisite to achieve this, is that the root directory on the web server (i.e.,
/var/www/) should be writable by the user that is running the web server (i.e.
www-data). In case the root directory of the web server is not writable, an alternative solution for the attacker is to use temporary directories, such as
/var/tmp to store in a text file the output of the injected command. The limitation in this solution is that the attacker cannot read files located in these temporary directories through the web application, due to his/her limited privileges. To bypass this limitation, the attacker can apply the time-based command injection technique to read the contents of the text file. For example, the attacker can use the following HTTP GET request, in order to store the output of
whoami command to a random file (i.e
/tmp/UvlLSE5S.txt) and subsequently how many characters there are in this file.
Copyright (c) 2014-2018 Anastasios Stasinopoulos