| Vol-3631 urn:nbn:de:0074-3631-0 Copyright © 2023 for the individual papers by the papers' authors. Copyright © 2023 for the volume as a collection by its editors. This volume and its papers are published under the Creative Commons License Attribution 4.0 International (CC BY 4.0).

# APWG-EU-TECH-RP 2023
Research papers APWG.EU Tech 2023

### Proceedings of Research papers at APWG.EU TECH 2023
co-located with the APWG.EU Tech 2023 Summit & Researchers Sync-Up (APWG.EU Tech 2023)

### Dublin, Ireland, June 21- 22, 2023.

Edited by

### Manel Medina *
Zoriana Dmytryshyna **
Adriana Freitas ***

* Polytechnic University of Catalonia, Polytechnic University of Catalonia - UPC, Barcelona, Spain
* APWG.EU , European Foundation Anti-Phishing Working Group,Barcelona, Spain
** APWG.EU , European Foundation Anti-Phishing Working Group,Barcelona, Spain
*** APWG.EU , European Foundation Anti-Phishing Working Group,Barcelona, Spain

## Table of Contents

- Preface
  Adriana Freitas
- Identifying Online Child Sexual Texts in Dark Web through Machine Learning and Deep Learning Algorithms
  Vuong M. Ngo, Susan Mckeever, Christina Thorpe
- Classifying recaptured identity documents using the biomedical Meijering and Sato algorithms
  John Magee, Stephen Sheridan, Christina Thorpe
- Block and Roll: A Metric-based Evaluation of Reputation Block Lists
  Siôn Lloyd, Carlos Hernandez-Gañán, Samaneh Tajalizadehkhoob
- Remote Clipboard Data In-Memory Attacks and Detection
  Khaled Fawzy Mohamed, Nashwa AbdelBaki, Ahmed Shosha
- Proactive Brand-Targeting Phishing Website Detection using a Hybrid Feature-based Approach with Machine Learning
  Nadezda Demidova, Philip Lawson, Jake Sloan
- Investigating Phishing Attacks using the Registration Data Access Protocol (RDAP)
  Hauke Jan Lübbers

2023-12-29: submitted by Adriana Freitas, metadata incl. bibliographic data published under Creative Commons CC0
2024-02-01: published on CEUR Workshop Proceedings (CEUR-WS.org, ISSN 1613-0073) |valid HTML5|