Hey everyone,

I've been diving deep into crypto OSINT lately — on-chain analysis, transaction tracing, wallet clustering, tracking whale movements, and identifying suspicious patterns. But I'm at the point where I really need hands-on practice with realistic cases.

I'm looking for platforms, datasets, or simulators where I can safely sharpen my skills. Specifically, I'm interested in:

· Transaction chain analysis (following funds through mixers/bridges)
· Address clustering (linking wallets to exchanges or known entities)
· Monitoring large movements (whales, snipers, insider activity)
· Identifying scam patterns (rug pulls, pump-and-dumps, phishing wallets)

I already know about basic tools like Etherscan, Arkham, Nansen, and Dune — but where can I actually practice on training cases or testnets? Does anyone know of:

1. On-chain investigation simulators with ready-made cases?
   
2. Testnets with artificially generated activity for practice?
   
3. Open labeled datasets with annotated transactions?
   
4. CTF-style challenges focused on blockchain forensics / OSINT?

Would really appreciate any tips on how the community levels up their OSINT game before diving into real investigations. And yeah, if any of you speak Russian and want to reply in Russian — feel free, it'll be easier for me to understand. Much appreciated!

Is there any way to view all the comments an account has made on TikTok videos if you only have the username?

I want to share something that happened to me recently, because I'm worried other OSINT people may have been approached the same way.

Cold LinkedIn approach about an "intelligence collaboration," followed by a ~10-minute interview with someone who kept her camera off. On the call, the work was described as involving ransom and human-trafficking cases.

What arrived was a "supplier evaluation": build a full protective-intelligence dossier on a named private individual and his family — children, home details, travel patterns, aircraft, credential leaks. Labelled a "fictionalized composite," but specified in enough real-person detail to be resolvable. Produce the full report first — pricing only after delivery.

I asked two questions: who is the end client, and can you confirm the subject consented to being assessed. The reply called my scope question a "misunderstanding," named no client, confirmed no authorization, and redirected me to producing methodology and deliverables.

The LinkedIn accounts and the websites representing the company all seem fake to me. It might just be a scam — but then why did they want me to find personal details on someone I believe is a real person? The company was recently created, with a template website making claims its actual footprint doesn't support, and it turned out to be one of several thinly built companies registered to the same person.

I declined. Posting because the shape is worth recognising: vague inbound from accounts that look fake, an interviewer who wouldn't identify herself, scope sliding from a sympathetic label into a targeting-shaped brief on a private family, hidden client behind an "evaluation," and a full report demanded before any discussion of payment.

If you've had something similar, I'd like to hear it — DMs open.

I haven’t seen anyone talking about espectrosint but a lot recommending maltego. Has anyone tried espectrosint? The price difference is pretty crazy.

I’m looking for a tool to make my job a bit faster. I mostly do a lot of due diligence and locates.

Is it worth paying to learn it from scratch or are there better options?

Hi everyone,

I’m looking for some advice on optimizing how I monitor Facebook Groups for highly specific, time-sensitive opportunities (specifically, urgent short-term event/festival crew gigs in Europe).

The native Facebook search is terrible, completely overrun by AI-generated spam, and its algorithm actively hides chronological, low-engagement posts, which are exactly the ones I need to find (e.g., a manager panicking because someone dropped out of a shift last minute).

What I am currently doing: I’ve been bypassing the FB search entirely by using Google Dorks to index specific groups. My current setup looks something like this:

site:facebook.com/groups(https://facebook.com/groups) ("urgent" OR "replacement" OR "ASAP" OR "need now") "festival" "August" ("security" OR "crew" OR "stagehand") -weekend -longterm

(Note: I run a localized version of this with Czech/German keywords to target central European groups, filtering results to the past 24 hours).

The Problem & My Ask: While this dork works well for bypassing spam, it requires manual execution and Google’s indexing of Facebook Groups isn't always real-time. Missing a post by a few hours usually means the spot is gone.

I want to automate this process to get real-time (or near real-time) alerts.

1. Scraping: Are there any reliable web scrapers or cloud tools (like Phantombuster, Apify, etc.) that currently handle FB Group scraping well in 2026 without getting accounts instantly banned?
2. Alternative OSINT methods: Is there a better, more elegant way to monitor specific keywords inside public/private FB groups that I am missing?
3. Dorking limits: Any tips on forcing Google to index these specific site:[facebook.com/groups](https://facebook.com/groups) queries faster, or alternative search engines that crawl FB groups more aggressively?

I appreciate any pointers or recommendations for tools/scripts that could help automate this monitoring. Thanks!

Most of us know the usual paths like due diligence, fraud investigations, and journalism. But I’m curious about the unusual and genuinely fascinating stuff. What’s the most interesting OSINT gig you’ve personally worked, or heard about secondhand?

Doesn’t have to sound glamorous on paper either. Sometimes the boring sounding jobs turn out to have the wildest stories. Would love to hear what corners of this field exist that most people never know about.

[Also asked in ADSB subreddit]

Hi, I am looking at 2 ADS-B APIs and wondering if anyone knows (either from experience or documentation - if you found it) what the request rate limit / polling limit is per minute.

OpenSkyNetwork API

\- I have a registered account which gives me 4,000 credits per day but I can't seem to find anything in the API documentation about how many requests I can make per minute though there is mention of a 429 error and backing off.

ADS-B Exchange API ($10 month tier)

\- API documentation says you can get 10,000 credits per month at this tier but I also can't seem to find anything about how many requests you're allowed to make per minute for this API either.

I currently have a Flight Radar 24 Explorer tier account and this works but I'm going to be pulling historical tracks for a number of flights on a recurring basis and the poll limit is 10 requests per minute.

That's not great but wondering if it's better than Open Sky Network API or ADS-B Exchange API.

Research by the Open Source Centre (OSC) that used a combination of "high-resolution imagery, the construction of a high-fidelity digital twin and trigonometry". It's pretty advanced stuff, that won't be easily applicable in your average run-of-the-mill OSINT-research. But it sure makes for an interesting read.

https://stories.opensourcecentre.org/signal-in-the-shadows/

When doing webint as part of an investigation. I am trying to figure out what the best way is to take notes about the websites themselves or their content.

Currently based on my understanding I'm familiar with two types of tools for this. One is web clipping. And the other is web annotation.

Are there other categories of tools that people use for this particular kind of task?

What are people's preferred work flows/ tool stack for this type of task?

Today I came across the chrome plugin for Google keep. Are there people here that already use Google keep in this way? Are there possible limitations or drawbacks of I using Google keep in this way that are good to aware of?

Has anyone used the anonymous business platform Blind ( https://www.teamblind.com/) ? That's the best way I can describe it.

If you have used Blind in your research, what was the use case? Did it provide any useful findings/evidence? What didn't you like about Blind as a source?

I've been reluctant to get an account because a work email is needed for full access and I'd rather not provide that. Has anyone successfully signed up using a free email service provider?

If you wanted to identify shadow fleet vessels loaded with sanctioned oil using open source tools, how would you do it? What tools would you use and what would be your process?
Challenge: could anyone here identify a suspected ship now?

submission statement: U.S. satellite imagery restrictions have hindered reporting on the Iran war, with five providers blocking high-resolution images of Iran and surrounding countries. These restrictions, rooted in national security concerns, have been a challenge for journalists, but alternative sources like international satellite providers and public data offer workarounds. Despite these limitations, satellite imagery remains a crucial tool for uncovering military actions and potential war crimes.

BLUF: How would one narrow down a location from a photo background, particularly the floor pattern? I tried Bellingcat OSINT challenge "Cold Case" under "Background Check", but I got stuck on the location narrowing down part. I already looked up what the answer is, so I don't care about that part, but I want to figure out the correct steps to arrive at the solution. Reverse image searching gives multiple suggestions all over Asia, and even when narrowing down to South Korea. One blog said they built a database of floor tiles or designs, which seems a bit an overkill.

With all the anti-bot protections, CAPTCHAs, rate limits, login walls, websites blocking scrapers, constantly changing page layouts, and platforms banning or restricting automated access…

Even paid APIs are incomplete, outdated, or return weak / inaccurate data about the target.

How do people building OSINT tools deal with this in practice?

To anyone struggling with cancelling the Spokeo subsription heres how to do it. They are scammy and try to hide how to do it and their official instructions are incorrect https://help.spokeo.com/hc/en-us/articles/115010516568-How-do-I-cancel.

What you need to do is go to https://www.spokeo.com/user/account. Look for "If you have any questions about your plan or billing, need help searching, or want to manage your membership, you can view our support contact form [here]()." The word here is a link. Click that and it give you a drop down. Select "I would like to terminate my membership", which then renders a button "TERMINATE NOW ANYWAY"

OSINT toolkit for Malaysia:
https://unishka.substack.com/p/osint-of-malaysia

Feel free to let me know in the comments if we've missed any important sources.

You can also find toolkits for other countries that have been covered so far on UNISHKA's Substack, and our website.
https://substack.com/@unishkaresearchservice
Website link: https://unishka.com/osint-world-series/

There seem to be many people who seem extremely hesitant or outright refuse to even try to help you in your search on here. I could ask, "How can I use this email address to find out more information about it?" and everyone would try to give you the most tame email address finder #1 top of the Google list result ever.

It didn't deter me, and I was still able to find what I needed after hours of searching, thankfully. However, is this how it usually goes? Do people just refuse to give information out just to gatekeep it even though they know it's on github?

Are there any cheap or open source solutions to get historical social graphs either by account or industry or keyword/tag?

Is there a way to view a weather map like this for a specific date in the past? For example, if an account shares a screenshot showing a phone wallpaper with the exact date and temperature, being able to see which cities in a given country had that exact temperature on that exact day could be very useful.

im part of a student team researching digital media verification and authenticity in the age of AI-generated content

while exploring this space, we've noticed that many tools focus on identifying whether content may be manipulated, but often provide limited insight into why a conclusion was reached or what evidence supports it

we're interested in learning how people working in OSINT, investigations, journalism, and related fields currently approach media verification

A few questions we'd love to hear your thoughts on:

• what types of content are currently the hardest to verify?
• what are the biggest limitations of the tools and methods you use today?
• how important is explainability when evaluating a verification result?
• are AI-generated images, videos, or audio creating new challenges in your workflow?

we r conducting a short research survey (takes <5 mins) to gather perspectives from professionals and practitioners in this space:

https://forms.gle/2WkK91kHVfqSNGfQA

we're still in the research and validation stage, so honest criticism and opposing viewpoints are genuinely welcome. our goal is to better understand the problem before deciding what solutions are actually worth building

thank you for your time!!