Summary: Sinon is an open-source tool designed to automate the setup and management of deception hosts for cybersecurity purposes, enhancing the realism and effectiveness of decoy environments. Its modular design allows for diverse and randomized configurations, making it easier to orchestrate deception at scale.
Threat Actor: Cyber Intruders | Cyber Intruders
Victim: Organizations utilizing deception technology | Organizations utilizing deception technology
Key Point :
- Automates the setup of deception hosts to simulate user activity and create realistic environments.
- Offers host configuration diversity, allowing customization of applications, settings, and introduced vulnerabilities.
- Enhances realism through randomness in configuration states and timing of interactions.
- Facilitates lure creation and synchronization with external systems for improved monitoring and interaction tracking.
- Available for free on GitHub, promoting accessibility for cybersecurity professionals.
Sinon is an open-source, modular tool for the automatic burn-in of Windows-based deception hosts. It aims to reduce the difficulty of orchestrating deception hosts at scale while enabling diversity and randomness through generative capabilities.
Sinon is designed to automate the setup of deception hosts by performing various actions that simulate actual user activity. The goal is to create a realistic environment that can deceive potential intruders. Sinon’s modular and configurable nature allows for easy adjustments and randomization, making each deployment unique.
“I’ve been working on a textbook covering deception technologies and CTI since December 2023. At present, the book is over 500 pages, and I have released 30 open-source deception technology tools created during research, including some ports of old tools that were no longer compatible with modern environments – for the sake of preservation and analysis of capabilities,” James Brine, the creator of Sinon, told Help Net Security.
“Part of this research explored the MITRE Engage framework, which describes technical capabilities around setting up a decoy host so that it would fit within the overall narrative that the defenders were presenting, as the need to convince, persuade, and motivate an adversary is pivotal to being able to select and collect data to close the defined intelligence gap. MITRE Engage describes an overly manual approach to this, which I’ve seen employed by other organizations when building deception decoys. Automating decoy interaction and burn-in through the application of LLMs, we’re able to rapidly create and interact with decoy systems in a way that generates highly realistic environments with minimal effort and, in doing so, can provide diversity where needed. Rather than relying upon the same base image repeatedly,” Brine added.
“Sinon looks to automate the components of MITRE Engage Application diversity, artifact diversity, burn-in, email manipulation, information manipulation, network diversity, peripheral management, pocket litter, introduced vulnerabilities, personas, and lures,” Brine concluded.
Key features
- Host configuration diversity: Install applications through the package manager, customization (wallpaper, resolution, default browser), and adjust Wi-Fi networks and settings.
- Introduced vulnerabilities: Control update state, including specific update packages for OS and applications.
- Host interaction: Email, view websites, download files, print documents, schedule tasks, copy files from network shares.
- Randomness and timing: Randomness to config state selected and timing of interactions improves the realism and makes decoy detection more difficult.
- Lure creation and synchronization with Redis: SSH keys, credential pairs, API keys, etc. These can then be used for correlating activities in other environments, such as by attaching the generated SSH key to SSH-Honey-Gateway config and proxying any connection with that key to a high interaction honeypot.
- File system monitoring: Specify file paths to monitor for activity to identify interaction with lures and pocket litter.
Sinon is available for free on GitHub.
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