Arno-MHL/ios-security-vulnerabilities-swift-objc

这是一个全面的iOS安全漏洞数据集，包含Swift和Objective-C中的27个真实世界安全漏洞模式，涵盖所有OWASP Mobile Top 10（2024）类别，包括漏洞代码、安全修复、攻击场景和检测指南。该数据集是Hugging Face上第一个专门针对iOS/Swift/Objective-C的安全漏洞数据集，填补了现有数据集（如TitanVul、DiverseVul、CleanVul）在iOS特定安全模式上的空白。数据集可用于训练LLMs检测iOS安全漏洞、iOS开发者的安全培训和教育、构建静态分析规则、基准测试代码安全模型以及作为iOS安全最佳实践的参考指南。数据集包含详细的统计信息、模式、漏洞类别和覆盖的iOS特定API，以及快速入门说明、示例条目、方法论、许可证、参考文献和引用信息。

A comprehensive dataset of 27 real-world iOS security vulnerability patterns in Swift and Objective-C, covering all OWASP Mobile Top 10 (2024) categories with vulnerable code, secure fixes, attack scenarios, and detection guidance. This is the first dedicated iOS/Swift/Objective-C security vulnerability dataset on Hugging Face, filling the gap left by existing datasets (TitanVul, DiverseVul, CleanVul) that focus on C/C++/Java/Python. The dataset is designed for use cases such as training LLMs to detect iOS security vulnerabilities, security training and education for iOS developers, building static analysis rules for Swift/Objective-C, benchmarking code security models on mobile-specific patterns, and serving as a reference guide for iOS security best practices. It includes detailed statistics, schema, vulnerability categories, and iOS-specific APIs covered, along with quick start instructions, example entries, methodology, license, references, and citation information.