I think I'm going to stick with 2 tools a week. One web-based, the other script-based. This week it's about archives and scaling your work in search engines.
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The first tool is from @ODU and it's a web-based tool that will tell you the date a website started and show the earliest archive from multiple sources.
The next tool I found through @s0md3v and it's called degoogle which lets you extract results directly. The reason why I included this is that the author claimed to not have run into a captcha for weeks and Somdev said he had 0 with 120+ requests.
Remember #OSINT != tools. Tools help you plan and collect data, but the end result of that tool is not OSINT. You have to analyze, receive feedback, refine, and produce a final, actionable, product of value before you can call it intelligence.
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In addition to OSINT Tool Tuesday, I'm going to start doing Workflow Wednesday where I unpack a process, instead of a tool, for open source intelligence. This week I'm going to talk about how to deconstruct a new social media platform.
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Step 1: Map the platform without an account.
You want to see what you can access without registering. Explore the platform from the website but also check out what's indexed by Google and other search engines using site:, -site:, inurl:, intext:, and other operators.
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Step 2: Understand the platform's privacy policies and other fine print.
You want to see what the risks are for registering an account including what information is collected and shared. You also want to know what other users can view once you've registered.
[#OSINT] You can use Twint to find indirect relationships between users. By matching the “conversation_id” to multiple queries, you can discover more insight.
For example, let’s say you’re trying to find violent users on Twitter that are threatening an influencer. Twitter only limits you to search for “influencer name” + “violent keyword”. Using Twint, you can search for all “violent keywords” and then match it to influencer mentions
You can also mine replies within Twint. It’s not in the Wiki, but adding “c.To =“ to your python module will allow you to pull tweets sent “to” someone. By finding the accounts that most mention said influencer, you can take this a a step further