SocialFish is an open-source Python project associated with phishing simulations and security education. It provides a web-based interface for managing the application, but the remote-control component described in the project documentation does not operate independently. It requires the main SocialFish application.
Phishing simulations can help security teams understand how deceptive messages and imitation login pages are used in social engineering attacks. In an authorized training environment, tools such as SocialFish can provide a way to study these techniques and improve awareness of credential-related risks.
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SocialFish uses Python 3 and pip for its environment and dependency management. The original project documentation lists the following prerequisites:
The listed Python dependencies include:
Some modules are included with Python, while others may need to be installed through the project’s requirements file. Check the repository documentation for compatibility and dependency updates before setting up the application.
Clone the original GitHub repository to obtain the project files:
git clone https://github.com/UndeadSec/SocialFish.git
On Debian-based Linux distributions, Python 3, pip and the development package can be installed with the following command:
sudo apt-get install python3 python3-pip python3-dev -y
For additional information, refer to the official Python website and the pip documentation.
Move into the cloned project directory and install the dependencies listed in its requirements file:
cd SocialFish python3 -m pip install -r requirements.txt
Use an isolated Python virtual environment where possible to avoid changing system-wide packages. Review the repository’s setup instructions before running older dependencies on a modern Linux distribution.
The original setup documentation identifies SocialFish/core/config.py as the location of the application secret-key setting:
APP_SECRET_KEY = ''
For a controlled local test environment, configure a unique, securely generated secret rather than leaving the application with an empty or predictable value. Do not reuse production credentials or expose the application to untrusted networks.
The original documentation describes a web-based interface for interacting with the application. The screenshot below is taken from the original Kali Linux Tutorials article.

Keep any testing environment isolated and use only accounts, systems and participants covered by explicit authorization. Avoid collecting real passwords or personal information during awareness exercises.
SocialFish is presented for educational and authorized security-testing purposes. Phishing techniques can be misused to impersonate legitimate services and collect sensitive information. Do not use the application against unsuspecting users or systems without permission.
The original project disclaimer places responsibility for use on the end user and disclaims liability for misuse or resulting damage. Review the project’s license and disclaimer before using, modifying or redistributing the software.
The original source code and project documentation are available through the GitHub repository: