Synthesis of Allowlists for Runtime Protection against SQLi
Data is the new oil. This metaphor is commonly used to highlight the fact that data is a highly valuable commodity. Nowadays, much of worldwide data sits in SQL databases and transits through web-based applications of all kinds. As the value of data increases and attracts more attention from malicious actors, application protections against SQL injections need to become more sophisticated. Although SQL injections have been known for many years, they are still one of the top security vulnerabilities. For example, in 2022 more than 1000 CVEs related to SQL injection were reported. We propose a runtime application protection approach that infers and constrains the information that can be disclosed by database-backed applications. Where existing approaches use syntax or hand-crafted features as a proxy for information disclosure, we propose a lightweight information disclosure model that faithfully captures the semantics of SQL and achieves finer-grain security.
Wed 17 AprDisplayed time zone: Lisbon change
16:00 - 17:30 | Security 2Research Track / Software Engineering in Practice / Journal-first Papers / New Ideas and Emerging Results at Grande Auditório Chair(s): Diomidis Spinellis Athens University of Economics and Business & Delft University of Technology | ||
16:00 15mTalk | PonziGuard: Detecting Ponzi Schemes on Ethereum with Contract Runtime Behavior Graph (CRBG) Research Track Ruichao Liang Wuhan University, Jing Chen Wuhan University, Kun He Wuhan University, Yueming Wu Nanyang Technological University, Gelei Deng Nanyang Technological University, Ruiying Du Wuhan University, Cong Wu The University of Hong Kong | ||
16:15 15mTalk | FuzzSlice: Pruning False Positives in Static Analysis Warnings through Function-Level Fuzzing Research Track Aniruddhan Murali University of Waterloo, Noble Saji Mathews University of Waterloo, Canada, Mahmoud Alfadel University of Waterloo, Mei Nagappan University of Waterloo, Meng Xu University of Waterloo DOI Pre-print | ||
16:30 15mTalk | LibvDiff: Library Version Difference Guided OSS Version Identification in Binaries Research Track Chaopeng Dong University of Chinese Academy of Sciences & Institute of Information Engineering Chinese Academy of Sciences, China, Siyuan Li University of Chinese Academy of Sciences & Institute of Information Engineering Chinese Academy of Sciences, China, shouguo yang Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China, Yang Xiao Institute of Information Engineering at Chinese Academy of Sciences; University of Chinese Academy of Sciences, Yongpan Wang University of Chinese Academy of Sciences & Institute of Information Engineering Chinese Academy of Sciences, China, Hong Li Institute of Information Engineering at Chinese Academy of Sciences, Zhi Li Institute of Information Engineering, Chinese Academy of Sciences, China, Limin Sun Institute of Information Engineering, Chinese Academy of Sciences, School of Cyber Security, University of Chinese Academy of Sciences, | ||
16:45 15mTalk | PrivacyCAT: Privacy-Aware Code Analysis at Scale Software Engineering in Practice Ke Mao Meta, Cons Ahs Meta, Sopot Cela Meta, Dino Distefano Meta, Nick Gardner Meta, Radu Grigore Meta, Per Gustafsson Meta, Ákos Hajdu Meta, Timotej Kapus Meta, Matteo Marescotti Meta, Gabriela Cunha Sampaio Meta, Thibault Suzanne Meta | ||
17:00 7mTalk | Software in the Manufacturing Industry: Emerging Security Challenge Areas for IIoT Platforms Software Engineering in Practice Yannick Landeck fortiss GmbH, Dian Balta fortiss GmbH, Martin Wimmer Siemens AG, Christian Knierim Siemens AG DOI | ||
17:07 7mTalk | Detecting and Characterizing Propagation of Security Weaknesses in Puppet-based Infrastructure Management Journal-first Papers Link to publication DOI Pre-print | ||
17:14 7mTalk | Synthesis of Allowlists for Runtime Protection against SQLi New Ideas and Emerging Results Kostyantyn Vorobyov Oracle Labs, François Gauthier Oracle Labs, Paddy Krishnan Oracle Labs, Australia |