Stack Tracer: Dual-Phase Steganalysis and Malware Detection for Multimedia Security

K Rithik Karthikeyan, M. B. Manav Srinivas, A Jenifer

2025

Abstract

The increasing use of steganographic techniques to embed hidden and potentially harmful data within multimedia files poses significant challenges to cybersecurity. Existing detection methods often lack precision, scalability, and real-time capabilities, necessitating innovative solutions. This paper introduces Stack Tracer, a browser extension designed to detect and analyze hidden data across various media formats, including images, audio, video, and more. The extension integrates multiple advanced technical analysis tools into a unified backend platform for detecting concealed content. Detected results are seamlessly passed to VirusTotal’s API, enabling comprehensive threat assessment by leveraging its extensive malware database. Unlike traditional methods, Stack Tracer validates its contributions through detailed comparisons with state-of-the-art tools, demonstrating detection rates of 95% for images, 92% for audio, and 89% for video. These results establish its robustness and accuracy across diverse media types. With a clear problem definition, validated outcomes, and a user-friendly interface, Stack Tracer provides a reliable and accessible tool for real-time multimedia threat analysis, addressing gaps in existing solutions.

Paper Citation

in Harvard Style

Karthikeyan K., Srinivas M. and Jenifer A. (2025). Stack Tracer: Dual-Phase Steganalysis and Malware Detection for Multimedia Security. In Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT; ISBN 978-989-758-763-4, SciTePress, pages 890-896. DOI: 10.5220/0013606700004664

in Bibtex Style

@conference{incoft25,
author={K Rithik Karthikeyan and M. B. Manav Srinivas and A Jenifer},
title={Stack Tracer: Dual-Phase Steganalysis and Malware Detection for Multimedia Security},
booktitle={Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT},
year={2025},
pages={890-896},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013606700004664},
isbn={978-989-758-763-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Futuristic Technology - Volume 2: INCOFT
TI - Stack Tracer: Dual-Phase Steganalysis and Malware Detection for Multimedia Security
SN - 978-989-758-763-4
AU - Karthikeyan K.
AU - Srinivas M.
AU - Jenifer A.
PY - 2025
SP - 890
EP - 896
DO - 10.5220/0013606700004664
PB - SciTePress