BURSTGitPhish represents a significant advancement in automated social engineering tools, specifically targeting GitHub’s OAuth 2.0 Device Authorization Grant implementation.
This open-source tool streamlines the traditionally complex process of executing device code phishing attacks, addressing critical operational challenges faced by security professionals conducting red team assessments and developing detection capabilities.
Key Takeaways
1. Open-source tool automating GitHub Device Code Phishing attacks to compromise organizational repositories and supply chains.
2. Eliminates 15-minute timing constraints and scaling limitations of traditional device code phishing attacks.
3. Dynamic device code generation and automated GitHub Pages deployment for professional, credible landing pages.
4. Security teams, red teamers, and detection engineers for realistic assessments and defense validation.
GitHub Device Code Phishing Mechanics
GitHub Device Code Phishing exploits the OAuth 2.0 Device Authorization Grant flow, commonly known as device code flows, which typically provide a 15-minute authentication window.
Traditional attacks require attackers to generate user and device code pairs while targets are actively engaged, creating significant timing constraints and limiting scalability to single-user scenarios.
According to praetorian reports, the attack vector leverages social engineering techniques where attackers convince targets to enter an eight-digit device code, potentially leading to complete compromise of organizational GitHub repositories and software supply chains.
The device code flow presents unique challenges as the tight expiration window forces attackers to rush targets through authentication processes, often compromising the quality of social engineering ruses and creating operational bottlenecks.
GitPhish addresses these limitations through two core technological innovations. First, the tool automatically deploys GitHub Pages to create professional landing pages that build instant credibility with targets while guiding them through the device code login process.
This approach eliminates the need for attackers to maintain external infrastructure or create convincing standalone websites.
The second critical feature involves dynamic device code generation, where the platform generates codes just-in-time upon target interaction rather than when the initial lure is sent.
This functionality enables red team operators to execute attacks across multiple targets simultaneously without worrying about the 15-minute expiration constraint inherent in OAuth device flows.
The tool supports both command-line interface and web dashboard operations, providing comprehensive logging, analytics, and token management capabilities.
Installation requires Python, a GitHub personal access token, and can be completed using the standard pip install . command after cloning the repository.
Deployment and Security Applications
GitPhish specifically targets security teams conducting organizational assessments and building detection capabilities around device code phishing vectors.
Red team operators can simulate realistic attack scenarios to test organizational resilience against social engineering attempts targeting GitHub authentication mechanisms.
Detection engineers benefit from the tool’s ability to validate their organization’s capability to identify suspicious OAuth flows, unusual GitHub authentication patterns, and potential social engineering attempts.
The platform includes extensive documentation with real-world examples for both red team and detection engineering scenarios.
The tool’s open-source nature allows security professionals to customize attack scenarios while maintaining ethical boundaries.
Organizations can leverage GitPhish to strengthen their defenses against increasingly sophisticated supply chain attacks targeting developer infrastructure and CI/CD pipelines.
MSSP Pricing Guide: How to Cut Through the Noise and the Hidden Cost-> Get Your Free Guide
The post GitPhish – A New Tool that Automates GitHub Device Code Phishing Attack appeared first on Cyber Security News.