Bridging the gap between the speed of AI-assisted development and enterprise-grade security practices
The rapid adoption of AI coding assistants has revolutionized development speed, but often at the cost of security. "Vibe coding" – the practice of using tools like GitHub Copilot, Claude, GPT-4, and others to quickly generate code based on prompts – prioritizes speed and developer experience over security considerations.
At Vibe Hacking, we're bridging this gap. Our goal is to ensure developers can maintain the velocity and creativity benefits of AI-assisted development while implementing enterprise-grade security practices. We call this approach "vibe hacking" – maintaining the "vibes" of efficient development while "hacking" away at the security vulnerabilities.
Our security assessment tool provides a structured, easy-to-use framework to identify and address critical security vulnerabilities in AI-generated code, based on the OWASP Top 10 and AI-specific security considerations.
Our assessment uses a weighted scoring system across 10 critical security categories. Each question is assigned a weight based on its security impact:
Critical security concerns that could lead to immediate compromise if not addressed.
Important security concerns that represent significant but potentially less immediate risks.
Security best practices that enhance your overall security posture.
Your score is calculated as: (Sum of weights of "Yes" answers) ÷ (Total weight of all answered questions) × 100%
Important Note on Scoring:
Our assessment is designed to be educational rather than punitive. A score below 80% doesn't mean your application is doomed—it highlights specific areas where security can be improved using the AI prompts we provide.
80% or higher score
Your application demonstrates strong security practices. Continue monitoring for new threats and maintaining your security posture.
50-79% score
Your application has implemented some security measures but still has significant vulnerabilities that could be exploited by attackers.
Below 50% score
Your application has critical security issues that need immediate attention. These vulnerabilities could lead to serious breaches.
Restrictions on authenticated users are not properly enforced, potentially allowing unauthorized access to protected data or functionality.
Common in AI-generated code: AI assistants often generate simplified authorization checks that don't account for complex permission hierarchies or resource ownership verification.
Failures related to cryptography that lead to sensitive data exposure through weak encryption, improper key management, or outdated algorithms.
Common in AI-generated code: AI tools may generate code using deprecated encryption methods or implement encryption without proper key management strategies.
Vulnerabilities where untrusted data is sent to an interpreter as part of a command or query, tricking it into executing unintended commands.
Common in AI-generated code: AI assistants frequently generate code that directly concatenates user input into SQL queries, shell commands, or HTML output without proper sanitization.
Vulnerabilities in the authentication system that could allow attackers to assume users' identities or access sensitive functionality.
Common in AI-generated code: AI tools often implement basic authentication systems without consideration for password policies, account lockouts, session management, or multi-factor authentication.
System configuration errors that leave your application vulnerable, including insecure defaults, incomplete configurations, and exposed cloud storage.
Common in AI-generated code: AI assistants rarely include comprehensive security headers, proper error handling, or environment-specific configuration best practices.
Unique security challenges created by AI-assisted development and AI components within applications.
Examples: Prompt injection attacks, over-reliance on AI-generated code without review, and lack of validation for AI outputs used in critical functionality.
The Open Web Application Security Project (OWASP) Top 10 is a standard awareness document for developers and web application security practitioners.
Cloud environments require specific security considerations to prevent data breaches and unauthorized access.
Specific considerations for security when working with AI systems and AI-generated code.
Take our comprehensive security assessment to identify vulnerabilities and get tailored AI prompts to fix them.
Start Your Security Assessment