Implementation Ids for Web Security Mechanism against Injection and Multiple Attacks

In this paper we propose a philosophy and a model apparatus to assess web application security instruments. The approach is in view of the thought that infusing sensible Vulnerabilities in a web application and assaulting them naturally can be utilized to bolster the evaluation of existing security systems and apparatuses in custom setup situations. The investigations incorporate the assessment of scope and bogus positives of an interruption recognition framework for SQL Injection assaults and the viability's evaluation of two top business web application defenselessness scanners. Results demonstrate that the infusion of vulnerabilities and assaults is to be sure a viable approach to assess security components and to bring up their shortcomings as well as courses for their change

Evaluation of Web Security Mechanisms Using Vulnerability & Attack Injection

In this paper we propose a methodology and a prototype tool to evaluate web application security mechanisms. The methodology is based on the idea that injecting realistic vulnerabilities in a web application and attacking them automatically can be used to support the assessment of existing security mechanisms and tools in custom setup scenarios. To provide true to life results, the proposed vulnerability and attack injection methodology relies on the study of a large number of vulnerabilities in real web applications. In addition to the generic methodology, the paper describes the implementation of the Vulnerability & Attack Injector Tool (VAIT) that allows the automation of the entire process. We used this tool to run a set of experiments that demonstrate the feasibility and the effectiveness of the proposed methodology. The experiments include the evaluation of coverage and false positives of an intrusion detection system for SQL Injection attacks and the assessment of the effectiveness of two top commercial web application vulnerability scanners. Results show that the injection of vulnerabilities and attacks is indeed an effective way to evaluate security mechanisms and to point out not only their weaknesses but also ways for their improvemen

Analyse de vulnérabilités et évaluation de systèmes de détection d'intrusions pour les applications Web.

Avec le développement croissant d Internet, les applications Web sont devenues de plus en plus vulnérables et exposées à des attaques malveillantes pouvant porter atteinte à des propriétés essentielles telles que la confidentialité, l intégrité ou la disponibilité des systèmes d information. Pour faire face à ces malveillances, il est nécessaire de développer des mécanismes de protection et de test (pare-feu, système de détection d intrusion, scanner Web, etc.) qui soient efficaces. La question qui se pose est comment évaluer l efficacité de tels mécanismes et quels moyens peut-on mettre en oeuvre pour analyser leur capacité à détecter correctement des attaques contre les applications web.Dans cette thèse nous proposons une nouvelle méthode, basée sur des techniques de clustering de pages Web, qui permet d identifier les vulnérabilités à partir de l analyse selon une approche boîte noire de l application cible. Chaque vulnérabilité identifiée est réellement exploitée ce qui permet de s assurer que la vulnérabilité identifiée ne correspond pas à un faux positif. L approche proposée permet également de mettre en évidence différents scénarios d attaque potentiels incluant l exploitation de plusieurs vulnérabilités successives en tenant compte explicitement des dépendances entre les vulnérabilités.Nous nous sommes intéressés plus particulièrement aux vulnérabilités de type injection de code, par exemple les injections SQL. Cette méthode s est concrétisée par la mise en oeuvre d un nouveau scanner de vulnérabilités et a été validée expérimentalement sur plusieurs exemples d applications vulnérables. Nous avons aussi développé une plateforme expérimentale intégrant le nouveau scanner de vulnérabilités, qui est destinée à évaluer l efficacité de systèmes de détection d intrusions pour des applications Web dans un contexte qui soit représentatif des menaces auxquelles ces applications seront confrontées en opération. Cette plateforme intègre plusieurs outils qui ont été conçus pour automatiser le plus possible les campagnes d évaluation. Cette plateforme a été utilisée en particulier pour évaluer deux techniques de détection d intrusions développées par nos partenaires dans le cadre d un projet de coopération financé par l ANR, le projet DALI.With the increasing development of Internet, Web applications have become increasingly vulnerable and exposed to malicious attacks that could affect essential properties such as confidentiality, integrity or availability of information systems. To cope with these threats, it is necessary to develop efficient security protection mechanisms and testing techniques (firewall, intrusion detection system,Web scanner, etc..). The question that arises is how to evaluate the effectiveness of such mechanisms and what means can be implemented to analyze their ability to correctly detect attacks against Webapplications.This thesis presents a new methodology, based on web pages clustering, that is aimed at identifying the vulnerabilities of a Web application following a black box analysis of the target application. Each identified vulnerability is actually exploited to ensure that the identified vulnerability does not correspond to a false positive. The proposed approach can also highlight different potential attack scenarios including the exploitation of several successive vulnerabilities, taking into account explicitly the dependencies between these vulnerabilities. We have focused in particular on code injection vulnerabilities, such asSQL injections. The proposed method led to the development of a new Web vulnerability scanner and has been validated experimentally based on various vulnerable applications.We have also developed an experimental platform integrating the new web vulnerability scanner, that is aimed at assessing the effectiveness of Web applications intrusion detection systems, in a context that is representative of the threats that such applications face in operation. This platform integrates several tools that are designed to automate as much as possible the evaluation campaigns. It has been used in particular to evaluate the effectiveness of two intrusion detection techniques that have been developed by our partners of the collaborative project DALI, funded by the ANR, the French National Research AgencyTOULOUSE-INSA-Bib. electronique (315559905) / SudocSudocFranceF