TWC: Small: Collaborative: Automated Detection and Repair of Error Handling Bugs in SSL/TLS Implementations

TWC：小：协作：自动检测和修复 SSL/TLS 实现中的错误处理错误

• 批准号: 1618771
• 负责人: Baishakhi Ray
• 金额: $ 25万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1618771&HistoricalAwards=false
• 关键词: TWC; Small; Collaborative; Automated; Detection

Secure Sockets Layer (SSL)/Transport Layer Security (TLS) protocols are critical to internet security. However, the software that implements SSL/TLS protocols is especially vulnerable to security flaws and the consequences can be disastrous. A large number of security flaws in SSL/TLS implementations (such as man-in-the-middle attacks, denial-of-service attacks, and buffer overflow attacks) result from incorrect error handling. These errors are often hard to detect and localize using existing techniques because many of them do not display any obvious erroneous behaviors (e.g., crash, assertion failure, etc.) but they cause subtle inaccuracies that completely violate the security and privacy guarantees of SSL/TLS. This project aims to improve error handling mechanisms in SSL/TLS implementations by building novel tools that reduce developer effort in writing and maintaining correct error handling code while making SSL/TLS implementations more secure and robust. This project develops a framework for improving the robustness of error handling code in SSL/TLS implementations. The framework has three main objectives. First, error specifications for different SSL/TLS functions are automatically inferred to learn how they communicate the failures. Next, the inferred specifications are used to build a tool for automatically detecting error handling bugs. Finally, the framework also provides new program repair tools that can automatically fix the detected bugs. Therefore, the framework provides end-to-end assistance in maintaining error-handling code in SSL/TLS implementations and thus significantly improves internet security.

安全套接字层（SSL）/传输层安全性（TLS）协议对Internet安全至关重要。但是，实现SSL/TLS协议的软件尤其容易受到安全缺陷的影响，并且后果可能是灾难性的。 错误的错误处理导致了SSL/TLS实现的大量安全缺陷（例如中间攻击，拒绝服务攻击和缓冲区溢出攻击）。 这些错误通常很难使用现有技术来检测和本地化，因为其中许多错误没有显示出明显的错误行为（例如，崩溃，断言失败等），但它们会导致微妙的不准确性，从而完全违反了SSL/的安全性和隐私保证TLS。该项目旨在通过建立新的工具来改善SSL/TLS实现中的错误处理机制，从而减少开发人员在编写和维护正确的错误处理代码方面的努力，同时使SSL/TLS实现更加安全和强大。该项目开发了一个框架，以改善SSL/TLS实现中错误处理代码的鲁棒性。该框架有三个主要目标。首先，自动推断出不同SSL/TLS功能的错误规格以了解它们如何传达故障。接下来，推断的规格用于构建用于自动检测错误处理错误的工具。最后，该框架还提供了可以自动修复检测到的错误的新程序维修工具。因此，该框架在SSL/TLS实现中维护错误处理代码方面提供了端到端的帮助，从而显着提高了Internet的安全性。