AttackMate: Realistic Emulation and Automation of Cyber Attack Scenarios Across the Kill Chain

Fuente: arXiv
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Main Authors: Landauer, Max, Hotwagner, Wolfgang, Boenke, Thorina, Skopik, Florian, Wurzenberger, Markus
Format: Preprint
Published: 2026
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author Landauer, Max
Hotwagner, Wolfgang
Boenke, Thorina
Skopik, Florian
Wurzenberger, Markus
author_facet Landauer, Max
Hotwagner, Wolfgang
Boenke, Thorina
Skopik, Florian
Wurzenberger, Markus
contents Adversary emulation tools facilitate scripting and automated execution of cyber attack chains, thereby reducing costs and manual expert effort required for security testing, cyber exercises, and intrusion detection research. However, due to the fact that existing tools typically rely on agents installed on target systems, they leave suspicious traces that make it easy to distinguish their activities from those of real human attackers. Moreover, these tools often lack relevant capabilities, such as handling of interactive prompts, and are unsuitable for emulating specific stages of the kill chain, such as initial access. This paper thus introduces AttackMate, an open-source attack scripting language and execution engine designed to mimic behavior patterns of actual attackers. We validate the tool in a case study covering common attack steps including privilege escalation, information gathering, and lateral movement. Our results indicate that log artifacts resulting from AttackMate's activities resemble those produced by human attackers more closely than those generated by standard adversary emulation tools.
format Preprint
id arxiv_https___arxiv_org_abs_2601_14108
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle AttackMate: Realistic Emulation and Automation of Cyber Attack Scenarios Across the Kill Chain
Landauer, Max
Hotwagner, Wolfgang
Boenke, Thorina
Skopik, Florian
Wurzenberger, Markus
Cryptography and Security
Adversary emulation tools facilitate scripting and automated execution of cyber attack chains, thereby reducing costs and manual expert effort required for security testing, cyber exercises, and intrusion detection research. However, due to the fact that existing tools typically rely on agents installed on target systems, they leave suspicious traces that make it easy to distinguish their activities from those of real human attackers. Moreover, these tools often lack relevant capabilities, such as handling of interactive prompts, and are unsuitable for emulating specific stages of the kill chain, such as initial access. This paper thus introduces AttackMate, an open-source attack scripting language and execution engine designed to mimic behavior patterns of actual attackers. We validate the tool in a case study covering common attack steps including privilege escalation, information gathering, and lateral movement. Our results indicate that log artifacts resulting from AttackMate's activities resemble those produced by human attackers more closely than those generated by standard adversary emulation tools.
title AttackMate: Realistic Emulation and Automation of Cyber Attack Scenarios Across the Kill Chain
topic Cryptography and Security
url https://arxiv.org/abs/2601.14108