ScholarGate
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Machine learningProgram analysis for security

Taint-analyse

Taint-analyse er en datastrømsanalyse-teknik, der sporer, hvordan utroværdige (tainted) input flyder gennem et program for at identificere sårbarheder, hvor tainted data når farlige operationer (sinks). Formelt defineret af Newsome og Song i 2005, markerer taint-analyse inputdata som tainted og propagaterer taint-etiketter gennem programmet, idet der advares, når tainted data når følsomme operationer som SQL-forespørgsler eller systemkald. Taint-analyse er fundamental for at detektere injektionssårbarheder og bruges bredt i dynamiske analyseværktøjer og sikkerhedsovervågningssystemer.

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Kilder

  1. 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). link
  2. Schwartz, E. J., Avgerinos, T., & Brumley, D. (2010). All you ever wanted to know about dynamic taint analysis and forward symbolic execution (but might have been afraid to ask). In IEEE Symposium on Security and Privacy (SP), 2010, pp. 317-331. DOI: 10.1109/SP.2010.26

Sådan citerer du denne side

ScholarGate. (2026, June 3). Taint Analysis (Data Flow Analysis). ScholarGate. https://scholargate.app/da/cryptography/taint-analysis

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Refereret af

ScholarGateTaint Analysis (Taint Analysis (Data Flow Analysis)). Hentet 2026-06-15 fra https://scholargate.app/da/cryptography/taint-analysis · Datasæt: https://doi.org/10.5281/zenodo.20539026