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A Veteran’s Day Plea: How OSINT Reunited 2 Long-Lost Soldiers.

The faces and names shown in this blog are real, and are being used with their permission. Some details have been redacted or obscured to protect the privacy of others.

Every Veteran’s Day for nearly a decade, my friend Bill Stevens has attempted to locate and reconnect with a very special Army battle buddy of his from more than 20 years prior. For a number of those years, Bill has aired his pleas publicly via Facebook, accompanied by photos of this bygone era, in hopes that somehow his plea would go viral and word would reach his long-lost friend… but it never did.

Now, I’ve known Bill for a really long time, and for the past several years I have read these increasingly frustrated posts asking for someone to help him. Each year I wondered to myself if I might have any luck, should I try to help with the search. After all, I do find people online for a living, but finding an “Eric Garcia” with a last-known location from more than 20 years ago? Talk about looking for a needle in a stack of needles!

On November 11, 2022, Bill’s plea once again appeared in my Facebook feed. Incidentally, the fall of 2022 was the 5 year anniversary of the death of my best friend and Army veteran, Chad Jolson. Chad and I spent our formative years as 2 inseparable peas in a pod, and the 2 times I’ve cried the hardest in my entire life were the day he left for basic training and the day I eulogized him. I’ve carried this well-worn photo of him in my wallet every single day for nearly a quarter-century, and I still think of him all the time.

Perhaps it was the timing, perhaps just fate, but this time around I decided to reach out to Bill with an offer to have a go at tracking down his long lost friend. I know how close the bonds are that these brave men and women form in our military, and it’s clear that this person meant a great deal to Bill. It’s a total long shot, but if I can somehow help bring them back together, well… I want to try.

I reached out to Bill and asked for anything at all that he could remember that might help me in tracking down “Eric Garcia”, because you just never know when the smallest detail may be of significant importance when it comes to OSINT work. Unfortunately, I was starting out this search with very, very little information:

  • Name: Eric Garcia
  • Location: Ft. Gordon, Ga (1998-99)
  • Prior Location: Colorado
  • Company: Foxtrot 369

That’s it. That’s all we have to work with here.

It would be impossible for me to understate the amount of failure that followed, as I trudged through hours and hours of fruitless searching.

I started out the easy way, asking some friends in the military if some sort of public database exists and got a big fat no. Then I began focusing on Foxtrot 369, scouring military unit pages, Facebook groups, online articles, and anything I could get my hands on. After hours of going this route, nothing had paid off at all.

From there, I went the typical people-search website route, reviewing the contact information of every single “Eric Garcia” I could find with ties to either Ft. Gordon, GA or the State of Colorado who was born in or around 1980. Do you know how many people that is?? Spoiler alert… IT’S A SHIT-TON.

Now, it’s been well documented that I am stubborn at a nearly Olympic-level, but at this point in the process I’m thinking I might actually have to throw in the towel and admit defeat. I’m really not seeing how this is going to be possible with what little I have to work with. Having exhausted pretty much everything I could think of, I’m afraid this one seems to have gotten the best of me.

That pisses me off.

I hate failing, and I REALLY hate quitting. Time to dig deep.

Whenever I get stuck during an investigation, I always take the same approach… I back up and take stock of what I started with, looking for any ways I’ve missed that I can work with whatever information I have available. It occurs to me in that moment that I have one piece of information I’ve not yet explored at all…

The photo itself!

More specifically, the face of “Eric Garcia”. Yes, these photos are old, and yes they are a picture of a picture and not very high quality, but these days there are a number of free, open-source options for doing facial recognition** and also for upscaling low-quality photos. Some of these FR sites target images scraped from one specific platform, while others search their much wider, scraped databases. In rare cases, you can have some sort of success with search engines looking for a face, though they’re not great.
**Before you visit or use any of these sites, please understand the risks, laws, and policies that may govern your access or use of them. I am not your lawyer or your boss! (but go ahead and take tomorrow off)**

I search several of these open-source facial rec options, including search engines, and BOOM… one of them gives me some very promising results!!

Holy shit!!! Is that?

No way!

To my untrained eye, this certainly looks like a promising result, but these days we don’t need to rely upon my useless opinion, we have the benefit of a number of free AI-powered facial comparison tools like Amazon’s “Rekognition“. Let’s see what artificial intelligence says about whether this is a match to the “Eric” we are looking for…

99.8%? Ok then!

After countless frustrating hours, and nearly throwing in the towel on something that I REAALLLLYYYY wanted to solve, I’ve finally got something to work with!

There’s just one problem.

The URLs for the photos are cut off, intentionally. You see, this site is only willing to give me a teaser for free, but they want me to sign up for their service and pay them for the full results. SHIT!

It’s time to do what we do best. Get creative…

The part of the URL I can see tells me the domain begins with “hitched”. Based on the look of these photos, I’m thinking they’re from some kind of formal event… naturally, the kind where people get “hitched”. I suppose it could be that he’s just a very dapper dresser in everyday life, but even I (whose personal style is best described as “middle-aged, nostalgic, Midwestern dad) can tell that these are probably from a wedding and not how people dress in their day to day lives. Although I can’t discount the possibility that he’s gone on to become a famous menswear model, I decide to go with the wedding photo idea first.

I need to find these photos in the wild, but how? Instantly I wonder… could these results have been indexed by a search engine? Without the full website name, do I even have enough to find them?

Using the most fundamental OSINT skill of Google dorking, I craft query after query using the inurl: search operator coupled with the word hitched, and tack on a few potential keywords that I’m hoping might lead me to the site in question. By using this search operator, I’m asking Google to restrict the results to only URLs containing the word I specified (hitched), and combine that with a search for those other keywords I am interested in. These searches would look similar to something like this:

inurl:hitched wedding photography

As I begin to look through the results, I realize it’s inefficient for me to scroll through their entire websites as I find ones I’m interested in. I really need to be thorough here if I’m going to find that needle I’m looking for though! What if I ask Google to do the hard work again for me? Perhaps a dork that directs Google to query just what they have indexed from each of these sites I’m interested in, focusing on the keyword Eric. That would look something like this (for a site called hitched.com which was not the name of the site):

site:hitched.com eric

This is where being absolutely unassuming in your work will sometimes pay off. If you’ve noticed, I have been putting “Eric” in quotes throughout this blog. Did you wonder why?

The reason is that when I research something, I start broad, making the fewest assumptions I can because several times over the years something like this has happened:

While reviewing the Google results for one particular photographer’s site, I noticed something… One of the entries was for Erik + [Bride]

(I’ve removed her name for privacy, and from here on out will just type [Bride])

Could it be? I take a closer look…

Hell. Yeah!

As it turns out… I’d been given an incorrect spelling of the person’s name that I was looking for. It’s Erik, not Eric. How do you like that for an added layer of complexity?

But seriously… Hell. Yeah!

Ok, tv timeout here for a little soapbox moment. Let this be a helpful lesson for those of you crafting really complex Google dorks in order to find precisely what you’re looking for… It’s a double-edged sword at times. When you’re dorking, consider if it’s best to only be as restrictive as you need to be in order to get the result. I could have easily put the name Eric in quotes in my queries, asking Google to return only results with that particular name, however, I may have accidentally missed what I was looking for by having the Erik result filtered out. Google is doing me a favor here with something called “fuzzy searching” where they provide similar results. Annoying at times, but helpful in cases like this!
You can always add on more specificity in your searches as you go, and in this case I only needed to be completely restrictive about the site: portion of my request.

So let’s take stock of what I have so far…

After reviewing the wedding photos, I have the names Erik & [Bride] Garcia, I know what they look like, I know their August 3rd, 2013 wedding was at a well known venue in San Pedro, CA, I know the name of the Los Angeles photography company who did their pictures, aaaaaand… not much else. Do you know how many Erik Garcia and [Bride] Garcias are in and around the Los Angeles, CA area?

You guessed it! A SHIT-TON.

My first instinct was to take a look at the photographer’s social media. Surely, the bride or groom would have liked or followed one of the photographer’s social accounts, right? Wrong. More time wasted.

I wonder to myself if the photographer made a 2013 post touting their beautiful photography and the happy couple. That’s definitely the sort of thing that a bride and groom might like, right? Let’s find that! I hit the photographer’s Facebook, use the timeline filter feature to head back in time to 2013 and just like that, find the post I was hoping for:

Only… they didn’t like it. Or comment. Neither did their friends. Damn!

At this point in the story I’m back to doing a lot of spinning my wheels. A lot. I’m looking at online reviews of the photography business, the wedding venue, looking at social media pages, scouring posts and comments and shares. I’m grasping and grasping and grasping and nothing I’m trying is paying off.

Remember what to do when you get stuck?

Back up.

So I go back to the photographer’s post above and ask myself what else do I possibly have to work with? What is pivotable? What is unique? What have I overlooked? And then I see it…

#TheSepulvedaHome

The venue has a hashtag! This opens an entirely new set of doors for me because now I’m hunting the wider social media landscape looking for not necessarily just Erik & [Bride], but rather any of their wedding guests who posted photos using the hashtag #TheSepulvedaHome on August 3rd, 2013. If I can find just one wedding guest, maybe I can back into one of their social media profiles!

So I hit Facebook with a hashtag search, look back to 2013 and find this post…

There it is. Just exactly what I was hoping for! A perfectly preserved memory from just the right date, with just the right hashtag, and a mention of just the right couple. Oh, and several guests tagged as an added bonus. Jackpot!

Sidenote, this ends up being a sort of right place/right time situation in retrospect because doing that hashtag search on Facebook now only gives you a handful of results and no filtering by year options like it once had. If I was doing this research today I would have potentially dead-ended right there. Thanks Facebook, for constantly changing all of your best OSINT-use features! #RIPgraphsearch

Alright, so even looking back on this while I write it I’m still kinda feeling myself, so I’m just going to drop this little meme here:

I mean come on… Backing into an associate using the wedding venue hashtag??? If I live to be 1,000 years old I might never use that one again! But the thought process that caused me to back up, take stock of what I had to work with, and find another angle? Hell, I’ll probably do that again tomorrow, hopefully you will too.

At this point I’m expecting to begin my typical social media exploration research, find accounts for Erik & [Bride}, and leverage them to drum up ways for Bill to make contact. Easy enough, right?

I shouldn’t be surprised that this turned out to be harder than expected as well.

Exploring the profiles of the wedding guests for publicly available information eventually leads me to several wedding photo posts that @ mention an interesting username in the text. A username somewhat similar to the bride’s name, or what could be a nickname. Hmm… These aren’t tags like what you normally see on Facebook where a person’s name is hyperlinked to their profile, instead they probably came from the linked Instagram profile of the wedding guest posted them. This is a feature of these two Meta-owned companies, where you can cross-post content in both places. Since Instagram uses @ mentioned usernames in their posts, I head over there and find [Bride]’s Instagram account using the username mentioned in the Facebook post.

The profile (which is now private), had a great many photos on it from over the years but as I scrolled farther and farther down, something was missing… Erik. Now, I felt pretty confident that I had the right [Bride], she is in the wedding photos after all, but she is using a different last name in her social media and I’m beginning to suspect that perhaps the marriage ended at some point and that’s why I’m not seeing him. Could this end up being a dead end after all?

With this in mind, I go back to posts around the fall of 2013, looking to see if anyone who could be Erik comments or if any friend mentions Erik or tags an account that may no longer be hyperlinked, because that could still be viable for me to explore. Once again, tenacity pays off…

Following the tagged profiles in the comments on this post from just weeks after the wedding I come to tagged Instagram user @h8[redacted]

The profile photo is not great, but it sure looks a lot like the Erik I’m looking for. Now that I know he might be a Journeyman Lineman with Local 47, perhaps I can find other sites with information on him that I can pass along to Bill. Returning to Google for some keyword searches does the trick!

WAIT JUST ONE DAMN MINUTE!

Shaun??? You’ve gotta be kidding me. Not only did I start with an incorrect spelling of Erik’s name, but now it appears this wasn’t even his first name at all? If someone came to me and said hey I’d like you to find this person from 20 years ago, but I’m only going to give you their middle name and last name, and I’m going to spell one of them wrong I’d say…

And yet, lining up the original photo with the wedding photo and the LinkedIn photo, I see the truth, right there on the screen. Bill’s long lost friend “Eric Garcia” is really Shaun Erik Garcia.

I’ve found my needle.

From here I have more than enough to go on, and start hitting the usual people search sites with Erik’s name, age, hometowns, etc. It’s not long before I’ve drummed up a couple email addresses, physical addresses, and phone numbers to try. All of this is packaged up with the social media accounts and sent off to what I can only assume was a completely stunned, and very happy Bill.

Several months after I shared all of this information with Bill, I learned that he had successfully leveraged it to make the long overdue reconnection he’d started seeking so very long ago.

Once again, the power of OSINT saves the day.

I’d like to wrap this up by taking a moment to thank Bill & Erik for letting me tell this story, and also recognize Bill, Erik, Chad, and every single brave and selfless person who has courageously put their own lives on the line for the freedoms we enjoy.

LinkedIn Fakes: A Wolf in Business Casual Clothing

Nobody wants to believe they’ll fall for a scam. Especially not any of you, my intelligent, savvy, and OPSEC-conscious friends!

Your radar is always on and carefully protecting your personal information, so you’d never click the link in that fortune-promising email, you’d never open an unexpected file attachment, and you’d certainly never send some stranger a document with your personal details on it, that’s inconceivable!!
Or is it?
What if there was a site where doing those types of things wouldn’t actually seem all that out of the ordinary? One where interacting with strangers and sharing personal information about yourself could lead to long-term gainful employment? What if the profile on the other end of that message looks polished, with a long work history of instantly recognizable company logos, a top-tier college, and a mountain of mutual connections and groups? One with a real, human, smiling face that syncs up perfectly with the nice, tidy appearance of the rest of the profile. Maybe it looks something like one of these…

Several of you are already closing this page and running to check your LinkedIn connections, which normally I’d say is probably a better use of your time than reading anything I wrote, but hang on her for a few minutes and see what else you might pick up.

Now, despite what I’m sure you all assume is my day to day online life: tidal waves of adulation, throngs of adoring fans, and a never ending barrage of “likes” and “follows”, you might be surprised to know that a handful of similarly-structured connection requests on LinkedIn would catch my attention. Several months ago, I began to receive request after request to connect with various Human Resources Specialists, Talent Acquisition Consultants, and Senior Staffing Specialists. At first glance, this could have been quite exciting; I mean hey, I’m finally getting noticed, right?! Do I need to go check my WordPress stats? Nope. Immediate red flag, I know better than that.

A quick glance down the line and I instantly noticed one thing… the profile photos all seem like GAN images (Generated Adversarial Network). Specifically, after testing with Sensity.ai, they’re StyleGAN2. If you haven’t heard of these before, you may have heard of a sites like thispersondoesnotexist.com or generated.photos which will provide you a seemingly endless supply of “fake” faces, using trained AI to attempt a realistic construction of a face that “doesn’t exist”. (Picture me saying that with air quotes, turns out those don’t work well in blogs) I say it that way because it’s been demonstrated that the images of actual people that the AI learned on are remarkably close in some cases to the “fake” ones it generates.

Tell-tale signs of these GAN photos aren’t always that easy to spot. A mismatched earring, strange wisp of hair, odd teeth perhaps. Others may be comically-easy to spot, giving much more obvious clues like partially constructed glasses, an ear that belongs on a Halloween costume, or a half cropped-out companion that looks like something out of a Stephen King novel (yes, those movies are from books). One thing is usually always right though… the eyes. Perfectly spaced, perfectly level, and generally clear as a bell.

Think about it… would you accept a connection request from this profile photo, with a recruiting job title, who sends a note saying he’d like to have you in his professional network? Most people would…

thispersondoesnotexist photo

What about his oddly-constructed friend up next here… with one tiny, unpierced ear halfway up the side of their head, and some sort of Red Baron-esque goggles that reminds me of Seth Green’s character in Can’t Hardly Wait? This one would be much easier to second guess and avoid.

Great movie, I don’t care what you say.

Anyway, back to the story… The connection requests keep coming in and eventually I get curious, as all investigative-minded researchers do, and I want to know more. What’s the motivation here? What’s the game?
Some of the profiles may offer a message with their connection request, professing their admiration for my work or interest in something I’m doing, but most are just smiling faces, awaiting my acceptance. So I let a few of them in.

I start by reviewing the profiles and I see a fairly consistently repeated pattern: smiling face, a tagline with consultant/hiring/sourcing, a generic stock art cover photo of some cityscape, a hometown anyone would recognize, 3 prior employers with unmistakable brands and a college I’d be lucky to afford cafeteria food from, let alone an education. They’re in groups, they’re well connected, and many even have endorsements for skills by seemingly real-life people using the site for actual networking.

All very interesting, but not much I can use to further explore a potential network. Reverse searching the profile photos leads nowhere, there’s no contact information being offered on the page (even after connecting), and the names offer nothing to pivot from. Visiting their connected groups and scrolling through the ranks makes it clear there are more profiles that could be consistent with what I’ve already seen, but what can I do to find them? I’m looking for something I can expand from, pivot from, some lazy mistake they’ve made that can help me see a bigger picture.

Remote Hiring? What could possibly go wrong?!

Then I notice something. Many of them have a short bio section talking about who they are, and a few of them have lazily repeated each other. BINGO! I take one of the bios, zero in on a section that seems unique enough that it won’t appear elsewhere and head over to Google to use my favorite dork!

site:linkedin.com “I’ve had an interesting career with several wonderful companies but being a world-class HR consultant and practitioner has always been my passion”

This gives me 95 unique profile results sharing that exact bio text, including my new professional pal, Winnie Hill, Human Resources Supervisor! Does poor Winnie realize that 94 other hard working recruiters and HR professionals out there are just as passionate as she about their careers (but not about originality)? A quick review of some profiles in those results shows me the same cookie-cutter approach I’ve seen before, sprinkled with different company names and colleges, topped off with all new GAN profile photos.

So, I try a few more: “I’ve made a name for herself as an international HR and staffing consultant” and “I am a consummate networker, thinker, traveler.” and
“changing the world through providing quality jobs to people in developing economies”.
These new searches net me a few hundred more profiles to review, new faces and new names, but the song remains the same.

You get the idea.

Soon, it becomes obvious we’re dealing with an organized network. One that someone put a lot of time and effort into constructing, maintaining, and leveraging. One that managed to bypass whatever level of scrutiny they were given at sign up and has now gone on to connect with thousands of unsuspecting potential victims. This is the type of threat in the type of setting that can literally ruin a life, a career, or even bring down a company when the wrong person clicks on a link, sends over their resume, agrees to a fake consulting gig, or gives away too much access or information. Sure, they could also be trying to sell you weight loss pills, talk to you about your car warranty, or perhaps something less dastardly… maybe they’re bots, creating profiles to bypass login wall protection and hoover up as much information as they can. One thing is for sure, they’re here for something they probably shouldn’t be.

In case you’re wondering, after taking a handful of these bios and performing the same searches in order to scrape together the results I found more than I expected. Using basic tools & extensions like Remove Breadcrumbs to lengthen the visible URL in the results, and Instant Data Scraper to grab the Google results and pull them into a workable spreadsheet, I was able to capture over 300 profiles sharing the same series of unique bios, then tease out the top job titles in a simple pie chart.

I share all of this as a warning, because even as recently as this week, I’ve read of many more folks complaining about fake profile requests trying to infiltrate their networks. It seems LinkedIn has an ever-growing problem on their hands that’s not going away any time soon. One that appears largely unchecked, and may have already infiltrated your professional network. Don’t become a victim and don’t let your network become a victim, and certainly don’t think for a second that this problem is unique to just this one platform. Take what you’ve read here and use it to protect yourself everywhere you go. Be curious, but be careful.

New LinkedIn Search Features Mean New OSINT Opportunities!

Let me start with a quick note of apology for my long hiatus. I know you all come here every day just constantly hitting refresh, hoping and praying, for anything at all! Turns out life has gotten really busy, and between my work with NCPTF, Trace Labs, conINT, and everything else… writing has really taken a back seat. Anyway, I’m glad you’re here and hope you find something useful and new.

In late September, 2020, articles like these began popping up regarding a major user interface (UI) redesign for everyone’s 5th favorite social networking site, LinkedIn, intended to make on-platform searching even easier. If you’ve seen the newest mobile design, you probably felt the familiar comforts of a Facebook-style menu bar across the bottom, and “stories” bubbled across the top. Finally, 2020 has given us something besides politics, conspiracies, and videos of a still-terrifying Mike Tyson training maniacally, just to spend 48 minutes hugging an old boxing adversary on pay-per-view.

So, you may be asking yourself… “Why do I care if a lame, old people social media platform like LinkedIn is now more like other (also lame) old people social media platforms?” Just kidding, that was actually a test. If you actually thought that, this is where you get off the ride kid. Go TikTok about Tide Pods, or whatever it is you do, grown ups are talking now.

Anyway, in their effort to help job seekers better leverage their site during this tragically tough time in the job market, they’ve built out more robust search options to help their user base more easily find the content they’re seeking. This is not just great news for those in the job hunt, it’s also great news for investigators, because if you’re conducting online research, your ability to find what you’re seeking just got that much easier! If you’ve ever done online research over the LI platform, you already know that people there are much more inclined to use their full & real name, a good clear photo of their face, share up to date contact information, list personal details you might not find anywhere else, all while connecting to people they may know on other social platforms. All of these things make LI one of the must-check locations when conducting online people research. After all, they boast 760 million users!

So let’s get right to it…

This first screen can be found at the following URL: https://www.linkedin.com/search/results/people/?firstName=&origin=FACETED_SEARCH

As you can see, there are some default search options across the top, but if you click on the All filters button, you’ll see even more pop up on the right. Now before I move on, take note of something else here. Just like so many other social platforms, LI is already trying to push me content based on what it knows about me (well, what it knows about my sock puppet, browser, IP address, and other potentially identifying data points). As a researcher, you can certainly use that to your advantage, and as a privacy conscious person you may want to mitigate that, but that’s a post for another day. 

In the “All filters” section, you’ll see the following options to select and sort your content by: Connections, Connections of (only works with people you are connected to), Location, Current company, Past company, School, Industry, Profile language, Open to, Service providers, and my personal favorite… KEYWORDS! Keywords for: first name, last name, title, company, and school. 

Taking a look at the list of initial suggestions from the search home screen, let’s just say our target was someone who worked at Eat Just, Inc but we don’t have much to go on besides just a name, and we need some pivot points for our research. We know there’s a good chance someone working there will have a more open profile, especially people working in HR or recruiting type roles. Adding in a filter for current employment of Eat Just, Inc gives us 192 results. Unfortunately, many of the people we see here have their names hidden from non-connections. That’s no problem for a super-sleuth like you though! 

We don’t have to look very far before we find someone currently employed there, with a more open profile, and a unique enough name to pivot away to another platform. Since we know many people will have friend crossover between LinkedIn and their other social platforms, you may want to jump to Facebook, IG or Twitter and begin a parallel thread of research there. Since Jessica’s name is visible, that’s a great place to start. A quick search on our old pals Facebook and Instagram give us plenty of pivot points to work with:

From there, we do a little digging and look to friends, associates, likes, comments, etc in the hopes we discover either our intended target, or someone else at Eat Just who may connect back to them. There are plenty of places to look beyond these sites though, so don’t stop there. One quick example thanks to a hit on Zoom Info via a very simple Google search gives us names of even more coworkers! 

Ok, back to the search filters again, and this time a little story. (DISCLAIMER: everything about this story is completely made up except the obvious reference to the greatest cinematic achievement of our lifetime… Super Troopers.)
I want you to close your eyes for a minute and picture that it’s a post-Covid19 world. No masks, no hand sanitizer, no opening doors with super annoying foot pedal things. Where are you? What are you doing? Naturally, you’ve just pictured yourself at a bar, knocking back a couple drinks with your pals. Shallow, yes, but I like your style. Now let’s pretend that bar is at a wedding, and since we’re pretending… of course, it’s an open bar. You’re standing there, watching the bartender add a little extra ‘tini in your 4th appletini when up stumbles your soon to be brand-new acquaintance, demanding 6 Schlitz’s… or whatever’s free. (that’s the Super Troopers reference you uncultured slob, go watch it)
Jared, as you unnecessarily learn, just flew in from Chicago and recently graduated from Harvard (which he tells you several times). Ever the polite conversationalist, you stand idly by nodding and smiling all while wishing a meteorite would come crashing through the roof and send you to the great open bar in the sky. Now, it takes you a good 30 minutes to escape the never-ending, spittle-laced barrage of bro’s and for realz’s coming from Jared’s gigantic Harvard educated head, but eventually you catch a break when he’s drug out of the place by security, for not knowing a single person even remotely associated with the event. To celebrate, you turn back to the bar for another ‘tini, and see ol’ Jared left his money clip there with $100 in it! Now, you’re no thief, but Jared is long gone. So after you tip the bartender, you need to find a way to return his $70 and the clip! What to do?

What if a LinkedIn search could help you? Since we can’t assume Jared is from Chicago just because he flew from there, what if we assume he’s from the state of Illinois? Will LinkedIn let us search that broadly? Indeed, they will!

From here, how about adding keywords for the other 2 data points we have? “Jared” in the first name box, and “Harvard” in the school keyword box. This will catch all the different variations of Harvard schools listed in LI, and since some users don’t share their full last name for privacy reasons, we will likely catch more people this way anyway.

Boom! Just like that, you’ve got a short list of 10 Jareds from Illinois who attended Harvard and of those, 8 have profile photos!

Now, even though we all know this kind of Jared would for sure have a profile photo, what if none of those 8 matched, and you wondered about the other 2? Of course, you PIVOT! How about a search on other social media sites for a Jared of the same name who matches the information shown? Could you find a photo of Jared Bass who works at Google? Of course you can, superstar!

Eventually, you’ll find your Jared in the mix, and like all of Jared’s social media platforms, his DMs are open, so you can now be the good samaritan you were raised to be, and return that $30 in his money clip, knowing you did the right thing!

(DISCLAIMER 2: None of the Jareds you see here, especially the ones who are lawyers, would ever act like the Jared in our story. They all seem like very fine people to me!)

Another handy little feature of searching LinkedIn is that the pre-populated options in some filters update as you’re searching and narrowing down a list of people, to include actual places where the people on that list have worked. Once again, this is a feature where you may be able put their platform to work for you. These are the options for the Harvard Jareds in Illinois once you’ve conducted that preliminary search, so if your wedding crasher pal mentioned any of them you could further zero in by going back to the filters to see what’s there. Something to keep in mind for larger lists of results.

You may have also noticed a feature which allows you to search the people connected to someone. In order to use that feature, your account must be connected to theirs. That’s going to be off limits for all the no-touch OSINT practitioners out there, but may be something that’s in play for certain folks with different parameters, so I still wanted to call it out. You’ll notice the search box will only allow you to select connections you already have when you start typing a name:

HOT TIP: kind of unrelated to what we’re talking about here, but did you know that you can leverage a built-in feature of Outlook email to find the LinkedIn accounts of email addresses you’ve added to your contacts at outlook.office.com/people? Just add the email as a contact, and switch to the LinkedIn tab of their contact card! (make sure you’re signed in to your LI sock puppet) In the privacy questions, you can say yes to sharing information from LinkedIn to your Outlook account, but say no to sharing info from your account to Linked in and this will still work! Thanks Microsoft!

That’s all for this one folks. I hope you’ve grown a little more fond of using LI in your searches, or maybe gained a few ideas of how to approach this kind of research and leverage data points to pivot. If you’re interested in learning more about LinkedIn searches and going beyond these basics, I highly recommend these great articles and videos by some exceptional people:

Intelligence with Steve (Steve Adams) – A Guide to Searching LinkedIn by Email Address: https://www.intelligencewithsteve.com/post/a-guide-to-searching-linkedin-by-email-address

“Dutch OSINT Guy” Nico Dekens for the OSINT Curious Project – 10 Minute Tip: Viewing LinkedIn Profiles Anonymously (Video): https://www.youtube.com/watch?v=bIAdx3CAjtM

Sinwindie for Sec Juice – LinkedIn OSINT Part I & Part II: https://www.secjuice.com/linkedin-osint-part-1/https://www.secjuice.com/linkedin-osint-techniques-part-ii/

“Matt” Maciej Makowski for OSINTme – How to Conduct OSINT on LinkedIn: https://www.osintme.com/index.php/2020/04/26/how-to-conduct-osint-on-linkedin/

As always, you can find me on Twitter: https://twitter.com/hatless1der

and you can find my The Ultimate OSINT Collection Startme here: https://start.me/p/DPYPMz/the-ultimate-osint-collection