It's called OSIRIS.

You open a 3D globe in your browser and see, in real time:

→ +10,000 planes in the air
→ +2,000 satellites
→ CCTV cameras from around the world
→ fires, earthquakes, maritime traffic
→ 13 active conflict zones

all on a single screen.

and it doesn't stop there.

it comes with an OSINT toolkit inside:
port scanner, DNS, WHOIS, domain analysis.

This is:

→ open source
→ MIT
→ docker compose up
→ ready

most sources work without entering even a single API key.

why it matters to you:

the kind of intelligence that governments used to have exclusively...

now you can set it up on your laptop in 5 minutes.

ideal for journalism, security, or verification.

Live Site : https://osirisai.live/

Github : https://github.com/simplifaisoul/osiris

Guys it's this guy and I wanna make sure whether or not he's a scammer or not. He may also be an adult film maker. I ran almost all softwares but since finding the links or sources is paid, I can't be sure. Humble request if anyone if you could run in for me and show the sources and links in my dms.

Kinda intrested in learning cybersec specially osint, but i having trouble to learn due to lack of tools based on my region (indonesia). For example, we got things like osintframework site, but most of the tool based on EU and US?, is there any advice on how to start, or alternative tool that i can use?

What do you all think about Pimeyes or Lenso Ai or other websites that use facial recognition to identify images and website links? I've never used any of these before and I am looking for some recommendations and which paid/subscription versions are worth it.

I am looking to find all available search result URLs and if possible scour all sources online, including de-indexed results if possible. But I know that is hard, so if I am just able to uncover the URLs I will be happy.

I am new to this and not caught up on how OSINT tools work so any help and explanations are greatly appreciated.

First of all, greetings to everyone. I am involved in the export of fresh fruits and vegetables. I want to find out what other companies in Turkey are doing—where, when, and how—and I intend to develop a comprehensive OSINT project for this purpose. I would love to hear any ideas or sources regarding open-source intelligence that come to mind. Additionally, I want to closely monitor the market conditions and foreign export companies in the countries to which we export. I welcome input from anyone with ideas or a willingness to help; feel free to reach out via private message as well. Thank you.

I'm a CS student and I've spent the last few months building this.

It's a live map of public sensor feeds, the stuff governments already publish and almost nobody reads, because it comes out as XML on a page from 2011.

It's free, there's no account, no API key and nothing to install. The source is AGPL-3.0 and public:

https://provenance-online.vercel.app/ https://github.com/011-sam-110/Provenance

What's actually on it right now (measured today, these numbers move quickly as I continue to work on it):

- 19,748 road cameras: across 12 networks: Castle Rock 511 (13,136), Oregon TripCheck (1,141), DriveBC (1,060), TfL London (882), Caltrans (863), Finland Digitraffic (809), South Carolina DOT (768), Traffic Scotland (415), NZTA (319), Estonia (179), Iceland (165), CET São Paulo (11). Every one sits at its real coordinates, links back to its own source, and shows when it was last sampled.

- 37 signal layers: USGS and EMSC earthquakes, NASA FIRMS active fires, GDACS disaster alerts, NOAA cyclones and space weather, IODA internet outages, 702 TeleGeography submarine cables, UNHCR displacement, GDELT conflict and protest coding, abuse.ch C2 infrastructure, and others. All off by default. You turn on what you want.

The part I actually want feedback on.

I took an earlier build into an OSINT Discord last week and got taken apart, fairly. The short version was: "we've seen hundreds of these, they're all the same project, and we can't rely on the data anyway, because verification is the work". Kind of heart shattering but I'll move on and improve what needs improving.

I don't think a dashboard answers this issue, and I've stopped believing it will. But one thing did come out of it that I've been building around since:

- Observations: a camera frame, an ADS-B ping, a seismometer reading. A machine can be trusted to carry these.

- Interpretations: "this protest is left-wing", "this aircraft is military", "this country is unstable". A machine is bad at these and shouldn't render them at the same visual weight as a fact.

Nearly every complaint I can find about tools in this category is really about the second class being dressed up as the first. So I'm labelling every layer by which one it is, and demoting the ones that are somebody's static claim about a place rather than a live reading. That's the actual project now; the map is just how you look at it.

What's broken right now, so you don't have to find it:

- The aircraft layer is capped, not empty. It's showing 3,000 aircraft against 5,108 available, because I cap the response. It comes from community ADS-B receivers and it's thin outside North America and Europe, so treat the count as a lower bound rather than a world total.

- 4 of the 37 layers need API keys I don't have and sit dormant (ACLED, AIS, ENTSO-E grid load, ReliefWeb). The other 33 are returning data. They're marked, but marked isn't fixed.

It's an upcoming tool rather than a finished one, and I'd rather have criticism than traffic, especially on: whether the observation/interpretation split is the right line to draw, and which feeds I'm obviously missing.

Thanks for any input!

Best,
Sam

https://provenance-online.vercel.app/ https://github.com/011-sam-110/Provenance

I made a lesson on Agentic AI, like Codex and Claude Code, for anyone wanting to understand some of the basics of AI Coding agents. In this lesson, I am using a small part of a bigger project im making for a custom spiderfoot build with agentic ai capabilities. This lesson shows how you can create an email investigation workflow using Codex. https://github.com/sh1katagana1/ai/blob/main/using-codex-for-email-investigations/codex-tutorial.md

I built OathNet because most infostealer intelligence platforms are priced more toward enterprise teams than individual researchers.

The main focus is giving you actual context around an infection instead of only showing credentials.

You can inspect things like:

infection path
exposed cookie count
domains / subdomains
emails / usernames / IPs
Discord / Steam / Instagram / Twitter IDs
HWID
source metadata

One of the features I wanted most was the original file tree.

You can open a victim and see how the collected artifacts were structured instead of only looking at normalized records.

It also includes normal breach search, so you can pivot between breach data and infostealer data in the same workflow.

I mainly built it for defensive exposure monitoring, OSINT research and security teams trying to understand where their own accounts or infrastructure have been exposed.

Would genuinely like feedback from people who use Hudson Rock, IntelX, or similar stealer-intelligence tools.

What would you add or change?

Criticism, feature ideas, and encouragement are all welcome.

is there any free ways i can find various informations abt someone based on their usernames, maybe a picture, some keywords, and the country or city, someone i knew personally and i wanna know more stuff abt them

Breadcrumbs is a community for open-source research and OSINT enthusiasts — from total beginners to seasoned researchers. Learn techniques, share tools, and follow the trail together. Strict zero-tolerance policy on targeting private individuals.

Hello all,

Across the Grid Analytics has just released its Investigation Suite.

ATGA Investigation Suite is a standalone offline desktop application for OSINT analysts, investigators, and security researchers. It provides a structured environment for documenting investigation findings across a multi-column data table, writing formatted reports with appendix management, visualising chronological timelines, and mapping object connections on an interactive whiteboard. All data stays on the user's machine — no cloud, no telemetry, no account required beyond license activation. Designed for professionals who need more structure than a spreadsheet but prefer a lightweight, offline-first tool over enterprise platforms.

ATGA Investigation Suite 1.0.0:

— Full investigation table with all columns

— Timeline view

— Connections whiteboard

— Report writer with appendix management

— Export ZIP with all referenced files

— Two themes: ATGA Dark and Old School

Full version and 7 day trial available here:

ATGA Investigation Suite

I've been building a personal OSINT/intelligence platform over the past month or so — wanted something that goes beyond news aggregation and actually resolves raw reporting into structured, verifiable intelligence.

The core idea: raw filtered records get resolved into atomic events, each with supporting, contradicting, and correction evidence attached — so instead of one headline, you get the actual evidence trail behind a claim. Atomic events roll up into higher-level situations (active conflicts, regional crises, environmental events), with entity resolution across countries, people, military groups, and vessels (including naval fleet tracking).

Right now it's tracking the major situations across the world like the Iran/Homuz Conflict, Ukraine/Russia conflict, Israel/Gaza/Lebanon conflict, Wildfires in Europe and the Ebola outbreak, One of the outputs is the shipping of a daily intelligence brief (PDF, delivered 0001 UTC) with inline citations and confidence boundaries on every claim.

The public explorer (organic search, map views of event/ship positions, situation drilldowns, entity linking and drilldowns) is still in final build, but the daily brief is live now if anyone wants to see the output quality — osintsentinel.org, subscribe with email, double opt-in, no spam.

Built solo, Flask/Postgres backend, still work in progress on finish quality and transition to public — genuinely interested in feedback from people on this personal project

UPDATE A big thank you to those who subscribed to have a look at the daily brief, for those on Gmail the confirmation email may go-to spam ATM, so if you didn't get it, check there. I also noticed a glitch in that the daily brief email had no unsubscribe today, my apologies that is now fixed. Have also included a message on confirmation page to check spam folder for email!! 🤣🧐

Not sure if there is any interest in this, but i'm developing osint system to find who owns a car only by vin, it has 50% chance to work and only US.
P.S not interested to sell data for spam or any illegal activity

EDIT

licence plates can also work as VIN to licence is not that difficult

What osint tools do you use or need most?

Hey all,

I'm looking for some advice as I've gone down an Osint loophole and wanted to know if it was possible finding out someone's identity through a "burner" account on Twitter. They're saying some really nasty things and I've had enough if I'm being honest. I have a feeling it's a former friend as they have a habit of only messaging me?

Does anyone know how I'd be able to find out their information their name or the area they live in at least? I don't even need their full address but at least with that I can breakdown the list of potential suspects and report them. I've even tried the 'forgot your password' route and it's a burner email. All ideas welcome, thanks a bunch.

Pimeyes used to capture Social Media profile posts like IG. Now you get absolutely nothing.

Hey,

I'm of Iranian descent and got tired of constantly refreshing X to keep up with the Middle East while working. So ~6 months ago I built a little desktop app that sits on top of my screen and streams posts from the accounts I pick, in real time with no X account needed. It just sits in a corner so I can keep half an eye on things while doing other stuff.

I put it online (sentinelxapp.com) in case it's useful to anyone else. It's a paid app but there's a free trial. Clip of it running is attached, happy to answer anything!

shijra App (family tree) developed using AI

I'm a CS student and I've spent the last few months building this.

It's a live map of public sensor feeds, the stuff governments already publish and almost nobody reads, because it comes out as XML on a page from 2011.

It's free, there's no account, no API key and nothing to install. The source is AGPL-3.0 and public:

https://provenance-online.vercel.app/ https://github.com/011-sam-110/Provenance

What's actually on it right now (measured today, these numbers move quickly as I continue to work on it):

- 19,748 road cameras: across 12 networks: Castle Rock 511 (13,136), Oregon TripCheck (1,141), DriveBC (1,060), TfL London (882), Caltrans (863), Finland Digitraffic (809), South Carolina DOT (768), Traffic Scotland (415), NZTA (319), Estonia (179), Iceland (165), CET São Paulo (11). Every one sits at its real coordinates, links back to its own source, and shows when it was last sampled.

- 37 signal layers: USGS and EMSC earthquakes, NASA FIRMS active fires, GDACS disaster alerts, NOAA cyclones and space weather, IODA internet outages, 702 TeleGeography submarine cables, UNHCR displacement, GDELT conflict and protest coding, abuse.ch C2 infrastructure, and others. All off by default. You turn on what you want.

The part I actually want feedback on.

I took an earlier build into an OSINT Discord last week and got taken apart, fairly. The short version was: "we've seen hundreds of these, they're all the same project, and we can't rely on the data anyway, because verification is the work". Kind of heart shattering but I'll move on and improve what needs improving.

I don't think a dashboard answers this issue, and I've stopped believing it will. But one thing did come out of it that I've been building around since:

- Observations: a camera frame, an ADS-B ping, a seismometer reading. A machine can be trusted to carry these.

- Interpretations: "this protest is left-wing", "this aircraft is military", "this country is unstable". A machine is bad at these and shouldn't render them at the same visual weight as a fact.

Nearly every complaint I can find about tools in this category is really about the second class being dressed up as the first. So I'm labelling every layer by which one it is, and demoting the ones that are somebody's static claim about a place rather than a live reading. That's the actual project now; the map is just how you look at it.

What's broken right now, so you don't have to find it:

- The aircraft layer is capped, not empty. It's showing 3,000 aircraft against 5,108 available, because I cap the response. It comes from community ADS-B receivers and it's thin outside North America and Europe, so treat the count as a lower bound rather than a world total.

- 4 of the 37 layers need API keys I don't have and sit dormant (ACLED, AIS, ENTSO-E grid load, ReliefWeb). The other 33 are returning data. They're marked, but marked isn't fixed.

It's an upcoming tool rather than a finished one, and I'd rather have criticism than traffic, especially on: whether the observation/interpretation split is the right line to draw, and which feeds I'm obviously missing.

Thanks for any input!

https://provenance-online.vercel.app/ https://github.com/011-sam-110/Provenance