An analyst wants to create custom threat-hunting signatures to detect suspicious code by specifying text, hex, or wildcard patterns. Which method best accomplishes this goal?
An automated script that retrieves open-source threat listings for all connected hosts
A correlational query that aggregates events from multiple network appliances
A specialized pattern builder that locates strings or binary sequences in memory or files
A rule syntax that inspects network traffic flows based on header-level analysis
A specialized pattern-based approach, known as YARA (Yet Another Recursive Acronym), is designed to detect malicious code by matching specific text, hex, or wildcard strings. It is especially effective for scanning memory and files across various operating systems. The other suggested methods focus on different aspects, such as correlating logs, gathering open-source indicators, or analyzing network traffic flows, rather than defining flexible string-based rules for suspicious code.
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What is YARA and how does it work?
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How are YARA rules created and structured?
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How is YARA different from network-based detection methods?