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Preventing Input Validation Vulnerabilities in Web Applications through Automated Type Analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Defending Against Injection Attacks Through Context-Sensitive String Evaluation
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Boosting Web Intrusion Detection Systems by Inferring Positive Signatures
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Quo Vadis? A Study of the Evolution of Input Validation Vulnerabilities in Web Applications
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Sania: Syntactic and Semantic Analysis for Automated Testing against SQL Injection
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Dynamic Taint Propagation for Java
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Automatic creation of SQL Injection and cross-site scripting attacks
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Pixy: a static analysis tool for detecting Web application vulnerabilities
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Saner: Composing Static and Dynamic Analysis to Validate Sanitization in Web Applications
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A Symbolic Execution Framework for JavaScript
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The essence of command injection attacks in web applications
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Sound and precise analysis of web applications for injection vulnerabilities
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Precise interface identification to improve testing and analysis of web applications
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Context-sensitive auto-sanitization in web templating languages using type qualifiers
inferredcites →https://doi.org/10.1145/2245276.2232004openalex-snapshot
An empirical analysis of input validation mechanisms in web applications and languages
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Abstracting application-level web security
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Anomaly detection of web-based attacks
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Anomaly detection of web-based attacks
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Securing web application code by static analysis and runtime protection
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KLEE: unassisted and automatic generation of high-coverage tests for complex systems programs
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Web Application Security: An Investigation on Static Analysis with other Algorithms to Detect Cross Site Scripting
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SEGATE: Unveiling Semantic Inconsistencies between Code and Specification of String Inputs
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Analyse des vulnérabilités dans des systèmes embarqués face à des attaques par fuzzing
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