Conversely, a target that yields volumes of information about their activities may support a "we know all"-style tactic where you convince them you already know all the details of their organization.Įither tactic lowers the target's inhibitions when discussing things they possibly shouldn't be sharing since they assume you already have the information. Police, intelligence agencies, and scam artists use data as a weapon, and my tutorials on Maltego, the Operative Framework, and other OSINT tools will prepare you to know more about a target than they know about themselves, to support bold social engineering strategies that require detailed information to pull off.Įven with modest results, social engineering attacks can benefit from increasingly specific tidbits of data strung together in a way to make it seem as though you have much more information than you really do about a target. My tutorials will cover a number of ways to track, gather, analyze, and act on data left in public databases by a target. In Maltego, transforms like like SocialLinks can be run against a person to find their close friends and associates without setting foot outside.ĭon't Miss: How to Use Maltego to Do Network Reconnaissance OSINT as a Pentesting Tool Hackers use frameworks like Maltego to build detailed profiles of targets by pulling from APIs to notice patterns. These tools are used to skirt laws on data collection against protesters and can return more information that the subject may know or remember about themselves. Private companies have advanced this art into a science, with police and intelligence forces routinely buying software tools from private vendors that source data from public APIs to build invasive profiles on targets. Open-source intelligence (OSINT) is the branch of intelligence that relies on searching unclassified data to build a picture of a target. Today, I'll teach you to begin searching for emails like an OSINT researcher with the classic tool theHarvester for macOS (or Mac OS X) and Kali Linux. Sometimes, you will only need to learn that particular organization's email formatting to guess what another email account would for a particular user. Some uses of email scraping data include provoking a response from a target, presenting a service, sending a phishing email, or generating a list of employees to pretend to be. There are many reasons for this depending on your goal, whether as targets for technical attacks or as a way to contact the target by email. In many social engineering or recon scenarios, you'll want to find email addresses for a person or members of an organization. TheHarvester is a Python email scraper which does just that by searching open-source data for target email addresses. The problem is no longer whether the right data exists, it's filtering it down to the exact answer you want. Open-source data scraping is an essential reconnaissance tool for government agencies and hackers alike, with big data turning our digital fingerprints into giant neon signs.
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