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Fuzzing×Dünaamiline rakenduste turvatestimine×Sümboolne täitmine×
ValdkondKrüptograafiaKrüptograafiaKrüptograafia
PerekondMachine learningMachine learningMachine learning
Tekkeaasta19902000s1976
LoojaBarton MillerVarious researchersJames C. King
Tüüprandom input-based testing techniqueruntime vulnerability detectionformal verification technique
AlgallikasMiller, 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 ↗Kals, S., Kirda, E., Kruegel, C., & Jovanovic, N. (2006). Secubat: A web vulnerability scanner. In Proceedings of the 15th International Conference on World Wide Web (WWW 2006), pp. 247-256. DOI ↗King, J. C. (1976). Symbolic execution and program testing. Communications of the ACM, 19(7), 385-394. DOI ↗
Rööpnimetusedfuzz testing, fuzzer, mutation testingDAST, black-box testing, runtime security testingsymbolic execution, symbolic analysis, concolic execution
Seotud333
KokkuvõteFuzzing 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.Dynamic Application Security Testing (DAST) is a security analysis technique that tests a running application by sending various inputs and observing responses to identify vulnerabilities and security flaws. Developed in the 2000s as a complement to static analysis, DAST exercises the application at runtime, finding vulnerabilities that only manifest during execution such as authentication bypass, insecure redirects, and logic flaws. DAST is commonly used for web application testing and is considered a black-box testing approach since the tester requires no knowledge of internal code structure.Symbolic execution is a program analysis technique that executes programs using symbolic (non-concrete) values instead of actual inputs, tracking how symbolic values flow through the program. Introduced by James C. King in 1976, symbolic execution builds mathematical constraints on program variables and can determine which inputs cause specific program behaviors, enabling automatic test generation and vulnerability detection. Modern symbolic execution tools like KLEE, S2E, and Z3 have become powerful instruments for finding subtle bugs and security vulnerabilities.
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ScholarGateVõrdle meetodeid: Fuzzing · Dynamic Application Security Testing · Symbolic Execution. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare