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Living-off-the-Land Abuse Detection Using Natural Language Processing and Supervised Learning. (arXiv:2208.12836v1 [cs.CR])
Aug. 30, 2022, 1:20 a.m. | Ryan Stamp (School of Computer Science, University of Guelph, Ontario, Canada)
cs.CR updates on arXiv.org arxiv.org
Living-off-the-Land is an evasion technique used by attackers where native
binaries are abused to achieve malicious intent. Since these binaries are often
legitimate system files, detecting such abuse is difficult and often missed by
modern anti-virus software. This paper proposes a novel abuse detection
algorithm using raw command strings. First, natural language processing
techniques such as regular expressions and one-hot encoding are utilized for
encoding the command strings as numerical token vectors. Next, supervised
learning techniques are employed to learn …
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