Forensic analysis of OpenAI's ChatGPT mobile application

被引:1
|
作者
Dragonas, Evangelos [1 ]
Lambrinoudakis, Costas [1 ]
Nakoutis, Panagiotis [2 ]
机构
[1] Univ Piraeus, Dept Digital Syst, Piraeus, Greece
[2] Univ Coll Dublin, Sch Comp Sci, Dublin, Ireland
关键词
Mobile computing - Open systems;
D O I
10.1016/j.fsidi.2024.301801
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Since its public launch, OpenAI's ChatGPT has achieved significant success, attracting millions of users within the first few months of its release. Although numerous similar applications have emerged, none have yet matched the success of OpenAI's ChatGPT. Last year, OpenAI released the ChatGPT mobile app. This application serves a broad range of uses, some of which may be malicious and, unfortunately, it has not yet been parsed by either commercial or open-source tools. Nevertheless, the data stored by this application, such as JSON files that store a user's conversations with ChatGPT, can be instrumental in attributing user actions, discerning perpetrators' knowledge and motivations, and resolving practical investigations. In this paper, OpenAI's ChatGPT mobile application is examined on both Android and iOS operating systems, focusing on potential evidentiary data within. The cloud-native data associated with the app, which can be retrieved through user data export requests are also investigated. The primary objective of this study is to discover artifacts that investigators can use in real-world cases involving this mobile app. Additionally, the authors have contributed to FOSS to support professionals in this field.
引用
收藏
页数:10
相关论文
共 50 条
  • [41] Forensic analysis of mobile phone internal memory
    Willassen, S
    ADVANCES IN DIGITAL FORENSICS, 2006, 194 : 191 - 204
  • [42] Forensic Analysis of Water Damaged Mobile Devices
    Fukam, Aya
    Nishimura, Kazuhiro
    DIGITAL INVESTIGATION, 2019, 29 : S71 - S79
  • [43] MoNA: A Forensic Analysis Platform for Mobile Communication
    Michael Spranger
    Jian Xi
    Lukas Jaeckel
    Jenny Felser
    Dirk Labudde
    KI - Künstliche Intelligenz, 2022, 36 : 163 - 169
  • [44] MoNA: A Forensic Analysis Platform for Mobile Communication
    Spranger, Michael
    Xi, Jian
    Jaeckel, Lukas
    Felser, Jenny
    Labudde, Dirk
    KUNSTLICHE INTELLIGENZ, 2022, 36 (02): : 163 - 169
  • [45] A chat-tastrophe: Cross-sectional evaluation of customisable cancer GPTs accessible via OpenAI's ChatGPT platform
    Chu, Bianca B.
    Menz, Bradley D.
    Modi, Natansh D.
    Sorich, Michael J.
    Hopkins, Ashley M.
    ASIA-PACIFIC JOURNAL OF CLINICAL ONCOLOGY, 2024, 20 : 188 - 188
  • [46] Forensic Analysis of LinkedIn's Desktop Application on Windows 10 OS
    Bashir, Saman
    Abbas, Haider
    Shafqat, Narmeen
    Iqbal, Waseem
    Saleem, Kashif
    16TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY-NEW GENERATIONS (ITNG 2019), 2019, 800 : 57 - 62
  • [47] Efficacy of AI Chats to Determine an Emergency: A Comparison Between OpenAI's ChatGPT, Google Bard, and Microsoft Bing AI Chat
    Salazar, Gabriel Zuniga
    Zuniga, Diego
    Vindel, Carlos L.
    Yoong, Ana M.
    Hincapie, Sofia
    Zuniga, Ana B.
    Zuniga, Paula
    Salazar, Erin
    Zuniga, Byron
    CUREUS JOURNAL OF MEDICAL SCIENCE, 2023, 15 (09)
  • [48] Concerns with OpenAI's Sora in Medicine
    Waisberg, Ethan
    Ong, Joshua
    Masalkhi, Mouayad
    Lee, Andrew G.
    ANNALS OF BIOMEDICAL ENGINEERING, 2024, 52 (08) : 2013 - 2023
  • [49] The application of ChatGPT in nursing: a bibliometric and visualized analysis
    Wang, Peng
    Zhang, Qian
    Zhang, Wenyu
    Sun, Jing
    FRONTIERS IN MEDICINE, 2024, 11
  • [50] Mobile Forensic Data Analysis: Suspicious Pattern Detection in Mobile Evidence
    Barmpatsalou, Konstantia
    Cruz, Tiago
    Monteiro, Edmundo
    Simoes, Paulo
    IEEE ACCESS, 2018, 6 : 59705 - 59727