The architecture is decentralized to handle large-scale analysis (e.g., datasets of over 20,000 samples) by distributing malware across multiple virtual machines.
Peekaboo is an automated tool built on the Intel Pin DBI framework. Its primary purpose is to bypass the evasive maneuvers modern malware uses to detect virtual machines (VMs) or debuggers, allowing researchers to capture "authentic" behavior that would otherwise remain hidden.
It implements massive coverage against 97 systematically derived anti-analysis techniques, outperforming many contemporary tools in depth and precision. Use Cases in Security Research download-peekaboo-v1-3-7-0-online
The tool monitors malware at multiple levels, including instructions, APIs, and system calls.
Peekaboo intercepts routines and monitors the number of modules loaded, system calls made, and threads created to determine the sample's runtime behavior. It is noted for its ability to capture
It is noted for its ability to capture executed Assembly (ASM) instructions, record network traffic, and measure start/completion rates for malware samples. System Architecture and Operation
Peekaboo is used to generate labeled datasets for AI and machine learning training in cybersecurity. record network traffic
Each sample is typically run for up to 15 minutes to ensure complete behavioral observation, including long-term evasive techniques.