plockchain 1.1

plockchain support for send request flow by write yaml config file

Overview

Plockchain is a lightweight, configurable automation tool designed to help web pentesters streamline their HTTP-based testing workflows. With Plockchain, you can define a sequence of HTTP requests (a "chain"), leverage proxy settings, extract and manipulate data in-flight, and easily integrate dynamic variables into subsequent requests. Whether you need to automate a login flow to fetch a token, or orchestrate a multi-step sequence to probe various endpoints, Plockchain has you covered.

Key Features

• Configurable Flow: Define multi-step HTTP chains in a simple YAML file.
• Proxy Support: Route requests through an HTTP/SOCKS proxy for traffic inspection or access.
• Data Extraction & Injection: Extract fields from responses (e.g., JSON bodies via jq-style selectors) and inject them into later requests.
• TLS & Timeout Controls: Customize TLS on/off per request and set individual timeouts.
• Templating: Use Mustache-style placeholders ({{variable}}) to render headers, URLs, and bodies dynamically.
• Lightweight & Extensible: Built in Python with minimal dependencies, easy to extend for custom extractors or request types.

Prerequisites

• Python 3.8 or higher
• pip for installing dependencies

Installation

1. Clone the repository:

   git clone https://github.com/nquangit/plockchain.git
   cd plockchain
   

2. Install required packages:

   pip install -r requirements.txt
   

Configuration

Plockchain is driven by a YAML configuration file. Below is a sample configuration showing global variables, proxy settings, and a request chain:

# File: config.yaml

---
global_vars:
  key: value

proxy:
  host: 127.0.0.1
  port: 8080

chain:
  - req:
      # name must be the file name contains the raw request
      name: raw1
      # Default is true
      use_tls: true
      host: api.taskspace.com.vn
      port: 443
      # Default is 5.0
      timeout: 5.0
      export:
        response:
          body:
            var:
              name: token
              # Key access with jq for json response with unique key
              key: ".data"
  - req:
      name: raw2
      use_tls: true
      # Auto mode will get the host from the Host header
      host: auto
      # Auto mode will get the port base-on use_tls value (80 or 443)
      port: auto

      import:
        headers:
          # Write as pystache template
          Authorization: "Bearer {{token}}"

Configuration Fields

• global_vars: Define key/value pairs available throughout the chain.

• proxy: Optional proxy settings (host, port).

• chain: An ordered list of steps; each step can be a req (HTTP request).

  • name: Identifier for the step; used when exporting variables.
  • use_tls: true for HTTPS, false for HTTP.
  • host/port: Target host and port (support auto).
  • timeout: Request timeout in seconds.
  • export: Extract data from response. Currently supports body JSON extraction with a key selector.
  • import: Inject variables into headers, query parameters, or body.

Usage

Run Plockchain by pointing it to your YAML config file:

# Future
python plockchain.py --config config.yaml

• Use --verbose for detailed logging.
• Add --no-proxy to bypass proxy settings.

Example Workflow

1. Login capturing a JWT token.
2. Fetch protected resource using the extracted token.
3. Process or save the final output as needed.

python plockchain.py -c config.yaml -v

Extending Plockchain

• Custom Extractors: Add support for XML, regex, or HTML parsing by extending the exporters module.
• Additional Steps: Implement new step types (e.g., file uploads, GraphQL requests) in the steps directory.

Contributing

1. Fork the repository.
2. Create a feature branch (git checkout -b feature/your-feature).
3. Commit your changes and push to your branch.
4. Open a Pull Request detailing your improvements.

Please adhere to the existing code style and include unit tests for new features.

License

This project is licensed under the MIT License. See LICENSE for details.

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Happy pentesting!