A penetration tester is examining a large urban area to gather data on wireless networks from multiple contributors. Which action would best leverage a crowd-sourced resource to identify unlisted networks?
Limit your probe to local addresses during the site scan to find routers quickly
Route traffic through a special proxy configured for channel hopping during site surveys
Send a log of your wireless survey results to a publicly maintained site that merges user-submitted data
Change beacon rates in a scanning tool to force listing of hidden networks
Uploading locally captured network and GPS details to a centralized database that combines entries from many people allows a tester to cross-reference radio signals against existing crowdsourced records. This helps identify networks not discovered during direct field scans. Other options focus on different approaches, such as modifying tool settings or limiting scans to a narrow set of addresses, which do not fully leverage a publicly aggregated dataset.
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What is a crowdsourced resource in the context of wireless network scanning?
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How does uploading survey results to a crowdsourced database help identify unlisted networks?
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What are some popular tools or resources used for crowdsourced wireless network mapping?