Amass is an open source framework used in cybersecurity to gather intelligence on targets through active and passive reconnaissance techniques, relying on multiple sources such as DNS queries, search engines, public databases, and APIs of Internet services to discover subdomains, analyze infrastructure, and identify assets associated with the target. It is considered a powerful tool in footprinting operations due to its advanced capabilities in network mapping and exploring online infrastructure. It supports different modes of operation such as passive reconnaissance without attracting the attention of security systems, or active reconnaissance that includes attacks such as brute force on DNS domains to discover more information. To protect against Amass scans, it is recommended to configure strict policies at the firewall level to prevent unauthorized queries, use DNS protection services such as Cloudflare and AWS Route 53, monitor abnormal network traffic, and enable multi-sign-on techniques to isolate suspicious activities. In cybersecurity, Amass is used in penetration testing and intelligence gathering during the Reconnaissance phase, helping security testers understand the overall structure of a target and uncover potential vulnerabilities before executing attacks. It is also an important tool for monitoring potential attacks on corporate domains and identifying unsecured assets to reduce the attack surface.

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