方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 模糊测试× | 静态应用程序安全测试× | |
|---|---|---|
| 领域 | 密码学 | 密码学 |
| 方法族 | Machine learning | Machine learning |
| 起源年份≠ | 1990 | 2000s |
| 提出者≠ | Barton Miller | Various researchers |
| 类型≠ | random input-based testing technique | source code vulnerability detection |
| 开创性文献≠ | Miller, B. P., Fredriksen, L., & So, B. (1990). An empirical study of the reliability of UNIX utilities. Communications of the ACM, 33(12), 32-44. DOI ↗ | Chess, B., & West, J. (2007). Secure Programming with Static Analysis. Addison-Wesley Professional. ISBN: 978-0321424778 |
| 别名 | fuzz testing, fuzzer, mutation testing | SAST, white-box testing, source code analysis |
| 相关 | 3 | 3 |
| 摘要≠ | Fuzzing is a software testing technique that inputs large numbers of random or semi-random test cases to a program to find bugs, crashes, and security vulnerabilities. Pioneered by Barton Miller in 1990, fuzzing has become a primary method for discovering zero-day vulnerabilities in complex software. Modern fuzzing tools like libFuzzer, AFL, and HoneyPot combine coverage-guided mutation with instrumentation to efficiently explore program paths and trigger vulnerabilities. Fuzzing has discovered thousands of critical vulnerabilities in major software including browsers, compilers, and cryptographic libraries. | Static Application Security Testing (SAST) is a security analysis technique that examines source code or compiled binaries without executing the program to identify vulnerabilities, code quality issues, and security flaws. Developed in the 2000s, SAST analyzes code structure, data flow, and control flow to detect potential bugs such as SQL injection, buffer overflows, and insecure cryptographic usage. SAST is widely integrated into development workflows as a shift-left security practice, enabling early detection of vulnerabilities before code reaches production. |
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