Forensic examination of tencent QQ mobile application features for evidence collection on android and iOS devices

Abstract Tencent QQ, established in 1999, ranks among the most extensively utilized instant messaging applications globally. At its peak, it attracted approximately 900 million users (Business Daily in Sohu 2023). Despite the emergence of numerous similar applications such as WeChat, QQ continues to hold a strong position within business and interest-based communities, particularly appealing to young adults. Forensic examinations of QQ have been ongoing since 2009, primarily addressing its memory function, instant messaging capabilities, and desktop version. However, there is a notable lack of thorough research on the many beneficial functions of the mobile version of QQ on both Android and iOS platforms. Additionally, online fraudsters, especially scam groups in Southeast Asia, have taken advantage of the app. Inadvertently, QQ provides scammers with the means to contact victims and extort property. To bridge this knowledge gap, this study performs a forensic analysis of QQ’s new features on Android and iOS. Our study covers new capabilities such as device detection, file editing and transferring, the integrated camera, document sharing, payment, and service functions, message withdrawal, real-time location sharing, phone numbers, contacts, QQ group activities, chat history with its backup, QQ zone, and privacy preservation and protection measures. The objective of this research is to assist investigators by enhancing the use of forensic tools concerning QQ and its new functionalities to discern what evidence can be acquired and recovered, thereby closing the existing knowledge gap.

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Publication Details

Journal
Discover Computing
Published
2025-10-25
DOI
https://doi.org/10.1007/s10791-025-09725-9
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00
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article

Forensic examination of tencent QQ mobile application features for evidence collection on android and iOS devices

Yufeng Gong, Ümit Karabiyik
Discover Computing
Digital and Cyber Forensics
article

Forensic examination of tencent QQ mobile application features for evidence collection on android and iOS devices

Yufeng Gong, Ümit Karabiyik
article en

Abstract

Abstract Tencent QQ, established in 1999, ranks among the most extensively utilized instant messaging applications globally. At its peak, it attracted approximately 900 million users (Business Daily in Sohu 2023). Despite the emergence of numerous similar applications such as WeChat, QQ continues to hold a strong position within business and interest-based communities, particularly appealing to young adults. Forensic examinations of QQ have been ongoing since 2009, primarily addressing its memory function, instant messaging capabilities, and desktop version. However, there is a notable lack of thorough research on the many beneficial functions of the mobile version of QQ on both Android and iOS platforms. Additionally, online fraudsters, especially scam groups in Southeast Asia, have taken advantage of the app. Inadvertently, QQ provides scammers with the means to contact victims and extort property. To bridge this knowledge gap, this study performs a forensic analysis of QQ’s new features on Android and iOS. Our study covers new capabilities such as device detection, file editing and transferring, the integrated camera, document sharing, payment, and service functions, message withdrawal, real-time location sharing, phone numbers, contacts, QQ group activities, chat history with its backup, QQ zone, and privacy preservation and protection measures. The objective of this research is to assist investigators by enhancing the use of forensic tools concerning QQ and its new functionalities to discern what evidence can be acquired and recovered, thereby closing the existing knowledge gap.

Discover ComputingVol. 28(1)
George Mason University (US), Purdue University West Lafayette (US), Illinois Indiana Sea Grant (US)
Openalex Percentile: Top 55%
Digital and Cyber Forensics
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