PḦP Transformation

Citations

Statically identifying XSS using deep learning, Héloïse Maurel, Santiago Vidal and Tamara Rezk, In Proceedings of Science of Computer Programming, Volume 219, 2022

• Online at hal.inria : PDF

• Citation in .bibTex format :

       @article{DBLP:journals/scp/MaurelVR22,
         author    = {H{\'{e}}lo{\"{\i}}se Maurel and
                      Santiago A. Vidal and
                      Tamara Rezk},
         title     = {Statically identifying {XSS} using deep learning},
         journal   = {Sci. Comput. Program.},
         volume    = {219},
         pages     = {102810},
         year      = {2022},
         url       = {https://doi.org/10.1016/j.scico.2022.102810},
         doi       = {10.1016/j.scico.2022.102810},
         timestamp = {Wed, 01 Jun 2022 15:34:38 +0200},
         biburl    = {https://dblp.org/rec/journals/scp/MaurelVR22.bib},
         bibsource = {dblp computer science bibliography, https://dblp.org}
       }

Statically identifying XSS using deep learning, Héloïse Maurel, Santiago Vidal and Tamara Rezk, In Proceedings of SECRYPT 2021

• Online at hal.inria : PDF

• Citation in .bibTex format :

        @inproceedings{DBLP:conf/secrypt/MaurelVR21,
    	  author    = {H{\'{e}}lo{\"{\i}}se Maurel and
    	               Santiago A. Vidal and
    	               Tamara Rezk},
    	  editor    = {Sabrina De Capitani di Vimercati and
    	               Pierangela Samarati},
    	  title     = {Statically Identifying {XSS} using Deep Learning},
    	  booktitle = {Proceedings of the 18th International Conference on Security and Cryptography,
    	               {SECRYPT} 2021, July 6-8, 2021},
    	  pages     = {99--110},
    	  publisher = {{SCITEPRESS}},
    	  year      = {2021},
    	  url       = {https://doi.org/10.5220/0010537000990110},
    	  doi       = {10.5220/0010537000990110},
    	  timestamp = {Wed, 16 Mar 2022 10:02:02 +0100},
    	  biburl    = {https://dblp.org/rec/conf/secrypt/MaurelVR21.bib},
    	  bibsource = {dblp computer science bibliography, https://dblp.org}
    	}

This repository is the official implementation of this approach described in:

Héloïse Maurel, Santiago Vidal and Tamara Rezk, "Statically Identifying XSS using Deep Learning", SECRYPT 2021 PDF(https://hal.inria.fr/hal-03684437) April 2021 - The paper was accepted to SECRYPT 2021. June 2022 - A journal version was accepted to Science of Computer Programming, Volume 219.

This repository contains all the Transformation function to be able to build :

• PHP D2 : where all the HTML, CSS and Javascript are placed in a echo function
• Replace div tag by p and an extension to replace by all the tag expression that you want.

Prerequisites

• Installation of PHP