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Honeypot: a tool for fighting malware
Karger, David ; Lieskovan, Tomáš (referee) ; Hajný, Jan (advisor)
This bachelor thesis is focused on deploying a honeypot to fight malware. The aim was to study the issue of honeypots and their use in detection and analysis of malware. The first part is dedicated to malware, its history and individual types. The so-called botnet is described in the next part. The last part is devoted on the honeypot itself and its distribution. The practical realization is done through honeypots Cowrie and Mailoney.
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Detecting JavaScript Code with Known Vulnerabilites
Randýsek, Vojtěch ; Jeřábek, Kamil (referee) ; Polčák, Libor (advisor)
This thesis deals with the detection of vulnerable JavaScript libraries and NPM packages. Based on existing studies, it summarizes the technological core of the Node.js platform and further focuses on selected vulnerabilities of the NPM system and existing means of protection. A Chrome browser extension able to detect and fix JavaScript code with known vulnerabilities on the web browser had been introduced. The tool was tested in a crawl of 50 000 websites. 8 129 vulnerable scripts were detected. The extension has been published to the Chrome Web Store as JS Vulnerability Detector .
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Detecting JavaScript Code with Known Vulnerabilites
Randýsek, Vojtěch ; Jeřábek, Kamil (referee) ; Polčák, Libor (advisor)
This thesis deals with the detection of vulnerable JavaScript libraries and NPM packages. Based on existing studies, it summarizes the technological core of the Node.js platform and further focuses on selected vulnerabilities of the NPM system and existing means of protection. A Chrome browser extension able to detect and fix JavaScript code with known vulnerabilities on the web browser had been introduced. The tool was tested in a crawl of 50 000 websites. 8 129 vulnerable scripts were detected. The extension has been published to the Chrome Web Store as JS Vulnerability Detector .
|
|
|
Honeypot: a tool for fighting malware
Karger, David ; Lieskovan, Tomáš (referee) ; Hajný, Jan (advisor)
This bachelor thesis is focused on deploying a honeypot to fight malware. The aim was to study the issue of honeypots and their use in detection and analysis of malware. The first part is dedicated to malware, its history and individual types. The so-called botnet is described in the next part. The last part is devoted on the honeypot itself and its distribution. The practical realization is done through honeypots Cowrie and Mailoney.
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