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Awesome GitHub RepositoriesData Sanitization Strategies
Methods and patterns for cleaning and escaping user-provided text.
Distinguishing note: Focuses on the strategy of sanitization, distinct from the test data itself.
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Awesome Data Sanitization Strategies GitHub Repositories
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- minimaxir/big-list-of-naughty-strings
minimaxir/big-list-of-naughty-strings
47,578View on GitHubThis project is a curated collection of edge-case strings designed to identify common input validation errors and security vulnerabilities in software applications. It serves as a comprehensive repository of malicious or malformed character sequences intended to trigger unexpected behavior in text-processing systems, database queries, and data parsing logic. The repository functions as a language-neutral benchmark for input validation and security fuzzing, allowing developers to stress-test sanitization routines across diverse platforms. By maintaining the corpus as a raw text file, the proje
Standardizes how different systems clean and escape user-provided text to prevent errors.
Python
