安玲学记（260）——精读期刊论文4.2安全测试

摘要：This issue of tweets will introduce the 4.2 safety testing of the journal paper "Research on Supply chain Security Risk assessment

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今天小编为大家带来“精读期刊论文《混源操作系统供应链安全风险评估方法研究》4.2安全测试"。

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Today, the editor brings the "the 4.2 safety testing of the journal paper 'Research on Supply chain Security Risk assessment Method of Mixed source Operating System'".

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一、内容摘要（Content summary）

本期推文将从思维导图、精读内容、知识补充三个方面介绍精读期刊论文《混源操作系统供应链安全风险评估方法研究》的4.2安全测试。

This issue of tweets will introduce the 4.2 safety testing of the journal paper "Research on Supply chain Security Risk assessment Method of Mixed source Operating System" from three aspects: mind mapping, intensive reading content, and knowledge supplement.

二、思维导图（Mind Mapping）

三、精读内容（Detailed Reading Content）

在评估过程中，可以借助一些技术手段和工具对部分指标进行评估。作者在深入研究已有的软件成分分析和测试技术基础上，总结并阐述了可用于评估相关指标的技术手段及工具。作者介绍了软件成分分析、安全测试方法、渗透测试方法。本次将为大家带来安全测试的相关内容。

During the evaluation process, some technical means and tools can be utilized to assess certain indicators. Based on an in-depth study of the existing software component analysis and testing techniques, the author summarizes and expounds the technical means and tools that can be used to evaluate relevant indicators. The author introduced software component analysis, security testing methods, and penetration testing methods. This time, we will bring you the relevant content about security testing.

安全测试方法主要包括静态分析、动态分析和混合分析三种：静态分析（如代码相似性检测、符号执行）通过检查源代码识别风险，覆盖率高但误报率高。动态分析（如模糊测试、污点分析）在运行时监测数据流，误报率低但覆盖率有限。混合分析（如交互式测试）结合两者优势，通过插桩技术平衡误报与覆盖，但自动化程度较低。这些方法互补应用于混源系统扫描（如检测恶意植入）及工具链安全验证。国内外企业如奇安信、Synopsys等已开发集成多类测试的平台，提供综合安全服务。

Security testing methods mainly include three types: static analysis, dynamic analysis, and hybrid analysis. Static analysis (such as code similarity detection and symbolic execution) identifies risks by inspecting source code, which has a high coverage rate but a high false alarm rate. Dynamic analysis (such as fuzz testing and taint analysis) monitors data streams at runtime, with a low false alarm rate but limited coverage. Hybrid analysis (such as interactive testing) combines the advantages of both and balances false positives and coverage through instrumentation technology, but it has a relatively low degree of automation. These methods are complementary and applied to mixed-source system scanning (such as detecting malicious implants) and toolchain security verification. Domestic and foreign enterprises such as Qianxin and Synopsys have developed and integrated platforms for multiple types of testing, providing comprehensive security services.

四、知识补充——动态分析方法之模糊测试与污点分析（Knowledge Supplement - Fuzz Testing and Taint Analysis in Dynamic Analysis Methods）

（一）模糊测试（Fuzz testing)

模糊测试（Fuzzing）是一种自动化安全测试技术，通过向目标程序输入大量非预期、随机或变异的异常数据（即“模糊输入”），触发潜在漏洞，如崩溃、内存错误或逻辑缺陷。

Fuzzing is an automated security testing technique that triggers potential vulnerabilities such as crashes, memory errors or logical flaws by inputting a large amount of unexpected, random or mutated abnormal data (i.e., "fuzzy input") into the target program.

（二）污点分析(Stain Analysis)

动态污点分析（Dynamic Taint Analysis, DTA）是一种在程序运行时追踪敏感数据（污点）流动的安全测试技术，主要用于检测漏洞（如注入攻击、信息泄露）和恶意行为。

Dynamic Taint Analysis (DTA) is a security testing technique that tracks the flow of sensitive data (taints) during program execution. It is mainly used to detect vulnerabilities (such as injection attacks, information leaks) and malicious behaviors.