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Peekaboo is used to generate labeled datasets for AI and machine learning training in cybersecurity.
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
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
The tool monitors malware at multiple levels, including instructions, APIs, and system calls. record network traffic
The architecture is decentralized to handle large-scale analysis (e.g., datasets of over 20,000 samples) by distributing malware across multiple virtual machines.