Detection Evasion Using eBPF for Linux Fileless Malware

Existing detection techniques for Linux fileless mal-ware are not resistant to tampering with commands and files. In this paper, we propose three evasion methods using extended Berkley Packet Filter (eBPF) against the detection methods for Linux fileless malware. We implement the evasion techniques and demonstrate their feasibility. Additionally, we discuss mitigations against the evasions to improve the robustness of the existing detection methods.

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Publication Details

Published
2024-11-06
DOI
https://doi.org/10.1109/dsc63325.2024.00026
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Detection Evasion Using eBPF for Linux Fileless Malware

Y. Takabayashi, Masahiro Mambo
Advanced Malware Detection Techniques
article

Detection Evasion Using eBPF for Linux Fileless Malware

Y. Takabayashi, Masahiro Mambo
article en

Abstract

Existing detection techniques for Linux fileless mal-ware are not resistant to tampering with commands and files. In this paper, we propose three evasion methods using extended Berkley Packet Filter (eBPF) against the detection methods for Linux fileless malware. We implement the evasion techniques and demonstrate their feasibility. Additionally, we discuss mitigations against the evasions to improve the robustness of the existing detection methods.

Kanazawa University (JP)
Openalex Percentile: Top 76%
Advanced Malware Detection Techniques
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Detection Evasion Using eBPF for Linux Fileless Malware — Y. Takabayashi, Masahiro Mambo · (2024) | TGRS Research Map | TGRS