Which concept generates inputs from scratch?

• A. Mutation
• B. Generation-Based
• C. Container API
• D. Application Vetting

Answer: (B)

Generating inputs from scratch is a fuzzing approach that builds test data directly from a model, grammar, or protocol specification rather than starting from existing samples and mutating them. This lets you systematically craft inputs that explore specific structures, lengths, or edge cases, including combinations you want to test that might not appear in real-world data. The key is using a defined specification to construct inputs that either conform to or deliberately violate the rules, enabling thorough exploration of the input space. This differs from mutation-based fuzzing, which starts with real inputs and makes small changes to create new variants. The other options aren’t about creating inputs from a ground-up model or grammar: a container API relates to an interface for containerized apps, and application vetting is a review process for software security and quality.