🌍[Guide] Prevent scam!!! Some useful tools for find scam / fake ICO team 🌍

[CoinPoint]

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[1714032891]

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[r_victory]

Thanks for the great topic. It's always good to be careful and do all sorts of research so you don't fall into scams! And nowadays the amount of tools available for this is incredible, I'll test them now!

[fizik4]

HEY. What should I draw conclusions from the data? ICO :https://bitcointalk.org/index.php?topic=5037197.0 . A team of 4 people. Linkedin link in one does not work. I did not find the rest with the help of the listed tools. What with the rest? can it be that there is not a single mention in the networks? or are they real? And if they are real people, then what about the last-fake?

[lovesmayfamilis]

If the photo was edited, then always less confidence. You can check how the photo was edited.

http://imageedited.com/

[plr]

This is what I've been looking for I'm just relaying information that is posting here in this forum, now I can do it on my own, so sorry to I don't have merit to send anymore but you deserve for compiling this, makes it easier for all of us here .

[SFR10]

You can also try "Cloud Vision":
- Apart from checking duplicate pictures, it also helps with extracting texts from images ^{[and few other things...]} (useful for checking plagiarized content in whitepapers that are made from images/screenshots only ^{[instead of a normal PDF format]}).

[The Cryptovator]

You can also try "Cloud Vision":

Added on main thread. Thanks for help community.

[aioc]

Damn great list, this is the kind of thread or information that deserves merits, I have bookmarked it and will definitely going to use this from now, I just knew something like this will comes out that we can use to combat these frauds not only those rating sites only.

[robelneo]

If a newbie posted this he could easily reach a higher level in just a short period of time, this kind of post deserves a merit and I wonder why the guy only has a few merits, but great post, this will helps us all, because we are investors and bounty hunters here.

[efrenbilantok]

Great tools to find scam ICO's, Im glad to see this very helpful thread
I hope I can help you guys catch more SCAM ICO's by using these tools for the better and healthier cryptoworld
Now is the start of my scam ICO hunting, hope to catch some.

[whotookmycrypto]

Up for newcomers

Hey do you have methods to share to deal with AI created faces like what the user a few post above mentioned? Thanks.

[AhmadM]

This one also good tools for checking both plagiarism and duplicate image. Support till 1000 characters for plagiarism checker or by upload file with .docx/.txt format, then for the duplicate image you can check by upload an image or enter the image URL.

https://smallseotools.com

[The Cryptovator]

Hey do you have methods to share to deal with AI created faces like what the user a few post above mentioned? Thanks.

No, still I have not find any kind of tools for detect AI created faces. It's a bit difficult to identify since it's really look like real picture. But we could identify few face by using our brains. There is few common mistakes on the picture because I have tried and investigated it. 80% picture have few common mistakes and I don't like to expose it. Because may be scammer would misuse it and they would aware. So create few face then zoom it and investigate deeply. Hope you will found something wrong.

[masulum]

4)  https://reverse.photos/
Search only from google . You can search only by uploading image.

Simple way to search image from Google is upload it directly to https://images.google.com/?gws_rd=ssl

[The Planner]

Thank you for that thread. I'm already using these tools from long time to discover the fake teams and also the fake images they using in their whitepapers, social media, and telegram.

You can check my table for analysing the bounties and projects from the following link
https://docs.google.com/spreadsheets/d/1HaCHVydpUN8jXfinj4BOktx0mTr4s5S-KQzpt8V0yhI/edit#gid=1417620408

[timerland]

This is a great thread - I think investors should all have their own must follow steps every time they see an ICO that is interesting, follow a couple links, check for copied content, check for fake or edited team members, etc, etc

If the photo was edited, then always less confidence. You can check how the photo was edited.

http://imageedited.com/

Thanks mate. Saved this link, I've only used google images search back in the past to check for fake/stolen team photos.

I don't have a specific tool I use, but more so a piece of advice -  A lot of ICO's nowadays use fake advisors, and they often put random advisors there that actually have nothing to do with the project. Google and find the advisors, and if you can't find if they are involved in the project, DM them if your bothered, or just give up and assume it's a scam.

[Zionatin]

Thank you very much for doing this for us. This is very helpful and I have bookmarked it. I can quickly run a few of these checks and pick up the scam quickly without wasting time. No more wasted time on bounties, trying to figure out of they real or not. This will eliminate most of them probably. At least half. I also think you should add that you should whois the website of the accused to check for things like a domain registration that is ending soon. A real team will never have a domain that will expire anytime soon and you will be shocked to see how often this happens with scam websites. They domain flip all over the place. I get very suspicious when a project claims to want to stick around but their domain expires next week?

You deserve some merits but I have none to give silly merit system.

[masulum]

I found good tools to compare similarity picture. This tool is good for members who have a coding skill. Check this out:

Code:

https://deepai.org/machine-learning-model/image-similarity

Demo version:


I can't explain too much about this, because currently I do not really understand to use this tool. I hope other members can give explanation about this tool later.

[SFR10]

https://pipl.com
This website will also show you how many % match with your original photo. URL and photo upload both are allow.

You can also try "Cloud Vision":
- Apart from checking duplicate pictures, it also helps with extracting texts from images ^{[and few other things...]} (useful for checking plagiarized content in whitepapers that are made from images/screenshots only ^{[instead of a normal PDF format]}).

It appears the above two services have altered their system (no longer suitable for finding duplicate pictures ^{[you might want to remove them from the list]}).

[tvplus006]

Since the creation of this topic, it remains relevant for everyone. After all, every day we see that scammers publish new scams instead of disclosed fraudulent schemes. A very useful Guide not only for Newbie, but also for all forum participants.