Advanced Monero wallet forensics: Demystifying off-chain artifacts to trace privacy-preserving cryptocurrency transactions

Monero, a privacy-preserving cryptocurrency, employs advanced cryptographic techniques to obfuscate transaction participants and amounts, thereby achieving strong untraceability. However, digital forensic approach can still reveal sensitive information by examining off-chain artifacts such as memory and wallet files. In this work, we conduct an in-depth forensic analysis of Monero's wallet application, focusing on the handling of public and private keys and the wallet's data storage formats. We reveal how these keys are managed in memory and develop a memory scanning algorithm capable of identifying key-related data structures. Furthermore, we analyze the wallet keys and cache files, presenting a method for decrypting and interpreting serialized keys and transaction data encrypted with a user-specified passphrase. Our approach is implemented as an open-source Volatility3 plugin and a set of decryption scripts. Finally, we discuss the applicability of our methodology to multi-cryptocurrency wallets that incorporate Monero components, thereby validating the generalizability of our techniques.

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Publication Details

Journal
Forensic Science International Digital Investigation
Published
2025-10-01
DOI
https://doi.org/10.1016/j.fsidi.2025.301988
Primary Topic
Digital and Cyber Forensics
Type
article
Field-Weighted Citation Impact
0.00
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article

Advanced Monero wallet forensics: Demystifying off-chain artifacts to trace privacy-preserving cryptocurrency transactions

Jeongin Lee, Jun Han, Jungheum Park, Geunyeong Choi
Forensic Science International Digital Investigation
Digital and Cyber Forensics
article

Advanced Monero wallet forensics: Demystifying off-chain artifacts to trace privacy-preserving cryptocurrency transactions

Jeongin Lee, Jun Han, Jungheum Park, Geunyeong Choi
article en

Abstract

Monero, a privacy-preserving cryptocurrency, employs advanced cryptographic techniques to obfuscate transaction participants and amounts, thereby achieving strong untraceability. However, digital forensic approach can still reveal sensitive information by examining off-chain artifacts such as memory and wallet files. In this work, we conduct an in-depth forensic analysis of Monero's wallet application, focusing on the handling of public and private keys and the wallet's data storage formats. We reveal how these keys are managed in memory and develop a memory scanning algorithm capable of identifying key-related data structures. Furthermore, we analyze the wallet keys and cache files, presenting a method for decrypting and interpreting serialized keys and transaction data encrypted with a user-specified passphrase. Our approach is implemented as an open-source Volatility3 plugin and a set of decryption scripts. Finally, we discuss the applicability of our methodology to multi-cryptocurrency wallets that incorporate Monero components, thereby validating the generalizability of our techniques.

Forensic Science International Digital InvestigationVol. 54
Korea University (KR)
Openalex Percentile: Top 54%
Digital and Cyber Forensics
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