Národní úložiště šedé literatury Nalezeno 2 záznamů.  Hledání trvalo 0.01 vteřin. 
Tool for Analysis of JavaScript to Detect DOM XSS Vulnerabilities in Web Applications
Barnová, Diana ; Polčák, Libor (oponent) ; Homoliak, Ivan (vedoucí práce)
The main goal of this thesis is to design a tool for analisys of JavaScript to detect DOM--based XSS vulnerability in web applications. Then to implement it and test it ethically. Cross--side Scripting (XSS) is one of the most common injection attacks on web applications that insert malicious code in an otherwise trusted site. An interpreted response by the browser is required for the detection and subsequent exploitation of DOM--based XSS vulnerabilities, therefore the tool captures the response from the Burp Suite proxy server. The analysis of this response uses two separate regular expressions aimed at searching for sources and sinks in the source code of the response. A set of payloads is used to determine if a site is exploitable. Subsequently, the user is warned of the possible danger. The output is a text file summarizing the results for the URL.
Tool for Analysis of JavaScript to Detect DOM XSS Vulnerabilities in Web Applications
Barnová, Diana ; Polčák, Libor (oponent) ; Homoliak, Ivan (vedoucí práce)
The main goal of this thesis is to design a tool for analisys of JavaScript to detect DOM--based XSS vulnerability in web applications. Then to implement it and test it ethically. Cross--side Scripting (XSS) is one of the most common injection attacks on web applications that insert malicious code in an otherwise trusted site. An interpreted response by the browser is required for the detection and subsequent exploitation of DOM--based XSS vulnerabilities, therefore the tool captures the response from the Burp Suite proxy server. The analysis of this response uses two separate regular expressions aimed at searching for sources and sinks in the source code of the response. A set of payloads is used to determine if a site is exploitable. Subsequently, the user is warned of the possible danger. The output is a text file summarizing the results for the URL.

Viz též: podobná jména autorů
1 Barnová, Daniela
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