| Reference : A Scalable and Accurate Hybrid Vulnerability Analysis Framework |
| Dissertations and theses : Doctoral thesis | |||
| Engineering, computing & technology : Computer science | |||
| Security, Reliability and Trust | |||
| http://hdl.handle.net/10993/35504 | |||
| A Scalable and Accurate Hybrid Vulnerability Analysis Framework | |
| English | |
Thome, Julian  [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >] | |
| 6-Apr-2018 | |
| University of Luxembourg, Luxembourg | |
| Docteur en Informatique | |
| Briand, Lionel | |
| Bianculli, Domenico | |
| Sabetzadeh, Mehrdad | |
| Denaro, Giovanni | |
| Gorla, Alessandra | |
| [en] vulnerability detection ; string constraint solving ; security auditing ; static analysis ; search-based software engineering | |
| [en] As the Internet has become an integral part of our everyday life for activities such as e-mail, online-banking, shopping, entertainment, etc., vulnerabilities in Web software arguably have greater impact than vulnerabilities in other types of software. Vulnerabilities in Web applications may lead to serious issues such as disclosure of confidential data, integrity violation, denial of service, loss of commercial confidence/customer trust, and threats to the continuity of business operations. For companies these issues can result in significant financial losses.
The most common and serious threats for Web applications include injection vulnerabilities, where malicious input can be “injected” into the program to alter its intended behavior or the one of another system. These vulnerabilities can cause serious damage to a system and its users. For example, an attacker could compromise the systems underlying the application or gain access to a database containing sensitive information. The goal of this thesis is to provide a scalable approach, based on symbolic execution and constraint solving, which aims to effectively find injection vulnerabilities in the server-side code of Java Web applications and which generates no or few false alarms, minimizes false negatives, overcomes the path explosion problem and enables the solving of complex constraints. | |
| Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Software Verification and Validation Lab (SVV Lab) | |
| Fonds National de la Recherche - FnR | |
| Researchers ; Professionals ; Students | |
| http://hdl.handle.net/10993/35504 | |
| FnR ; FNR9132112 > Julian Thomé > HyVAn > A Scalable and Accurate Hybrid Vulnerability Analysis Framework > 01/09/2014 > 14/04/2018 > 2014 |
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