Σύγκριση μεθόδων

	Δυναμικός Έλεγχος Ασφάλειας Εφαρμογών	Ανάλυση Μόλυνσης Δεδομένων
Πεδίο	Κρυπτογραφία	Κρυπτογραφία
Οικογένεια	Machine learning	Machine learning
Έτος προέλευσης	2000s	2005
Δημιουργός	Various researchers	James Newsome
Τύπος	runtime vulnerability detection	data flow tracking technique
Θεμελιώδης πηγή	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.	Newsome, J., & Song, D. X. (2005). Dynamic taint analysis for automatic detection, analysis, and signature generation of exploits on commodity software. In Network and Distributed System Security Symposium (NDSS 2005).
Εναλλακτικές ονομασίες	DAST, black-box testing, runtime security testing	taint analysis, information flow, data tainting
Συναφείς	3	3
Σύνοψη	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.	Taint analysis is a data flow analysis technique that tracks how untrusted (tainted) input flows through a program to identify vulnerabilities where tainted data reaches dangerous operations (sinks). Formalized by Newsome and Song in 2005, taint analysis marks input data as tainted and propagates taint labels through the program, alerting when tainted data reaches sensitive operations like SQL queries or system calls. Taint analysis is fundamental to detecting injection vulnerabilities and is widely used in dynamic analysis tools and security monitoring systems.