Code Privacy in Detection of Web Vulnerabilities
Author:
Affiliation:
1. LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal
2. LASIGE, Faculdade de Ciências, Universidade de Lisboa, Portugal, Portugal
Funder
Fundação para a Ciência e a Tecnologia
Agencia Nacional de Investigación e Innovación
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3593434.3593483
Reference10 articles.
1. 2021. Usage statistics of server-side programming languages for websites. https://tinyurl.com/2p94fynw. 2021. Usage statistics of server-side programming languages for websites. https://tinyurl.com/2p94fynw.
2. David Beazley. 2021. PLY (Python Lex-Yacc). https://www.dabeaz.com/ply/. David Beazley. 2021. PLY (Python Lex-Yacc). https://www.dabeaz.com/ply/.
3. Xiaoning Du Bihuan Chen Yuekang Li Jianmin Guo Yaqin Zhou Yang Liu and Yu Jiang. 2019. Leopard: identifying vulnerable code for vulnerability assessment through program metrics. In ICSE’19. Xiaoning Du Bihuan Chen Yuekang Li Jianmin Guo Yaqin Zhou Yang Liu and Yu Jiang. 2019. Leopard: identifying vulnerable code for vulnerability assessment through program metrics. In ICSE’19.
4. Nenad Jovanovic Christopher Kruegel and Engin Kirda. 2006. Precise alias analysis for static detection of web application vulnerabilities. In PLAS'06. ACM 27-36. https://doi.org/10.1145/1134744.1134751 10.1145/1134744.1134751
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