Hello everyone, during this time I did a lot of tests on my 4g proxies, I read a lot, and heard opinion of several people.
So I decided to write a small study containing some of the key points that I think are generating many problems for those who use automation.
These are the results of the 4g proxy tests and some other considerations.
To begin with I analyzed the fingerprints (outside JV) with sites like www.f.vision
By analyzing the IPs masked by proxies, these sites are able to detect the real IP address to which we are connected, this via WebRTC.
So the sites detect two IP addresses, the first of the proxy and the second (local IP address) which is the real IP address to which we are connected.
Obviously it is very simple to disable WebRTC with a browser extension, but obviously sites like f.vision detect an inconsistency (the result is FAKE WEBRTC DETECTED) given by the fact that the WebRTC has been deactivated.
By running tests (inside JV), with embed browser, I note that many types of fingerprints have been hidden, but unfortunately not all of them.
I noticed that for example JV hides a lot of information to protect the identity of the user, it is certainly a positive thing, but at the same time instagram will detect that there is a difference with respect to an average normal user, the average user does not use the proxy, does not hide your data, does not hide anything.
Analyzing with whatleaks.com (in JV in embed browser) a difference between operating systems is detected.
JV fake user agent is android, but browser windows requests.
Analyzing instead from a simple smartphone is android / android.
Even privacy.net has interesting fingerprinting analysis methods, but the most frequently detected problem is that it is the double operating system.
Another test on the passive os fingerprint, if the proxy is done well (or done with a smartphone) the fingerprint is correct (linux), if you use a hotspot it results Windows.
Again, if you analyze the passive os of a simple smartphone it is linux / linux.
Another thing detected is the geolocation (really important in my opinion).
Using proxy 4g of my city the geolocation is perfect, using proxy of another state instead no, this can make you think.
Another thing to think about, in which I didn’t do tests, but logically it seems to me absolutely plausible for those who use proxy 4g: The rotation times of the IP address.
Do you think it is normal that an IP address changes perfectly every 3 minutes or every 5 or every 60?
I don’t think so.
When we are outside home it is unrealistic that the phone goes offline or we change position with a precise time interval.
Now imagine dozens or hundreds of accounts, which change IP address with perfect frequency of 3 minutes, all on the same geolocation, network, similar ip, same operator.
In my opinion, an extremely visible pattern is created.
Moreover, as if this were not enough, groups of 10 account each time fall on a different IP address, but the same is the same for all these 10 accounts, and then they change IP again, and then return to another IP again equal for all 10 accounts, all this repeated dozens of times a day.
It seems obvious to me that an extremely visible pattern is created.
However it would be much more realistic that the IP address changed at random intervals, and that the accounts rotated between the various proxies/ IP, and the same 10 accounts did not always remain on a same IP address.
Another fundamental element is to make the actions of the accounts as random as possible, the people are unpredictable, the humans are chaotic, it is absurd in my opinion that a person goes 12 hours a day every day always in the same time bands and every hour it always puts the same number of likes.
The same goes for those who perform actions by hand, it is useless to do them by hand on the official app if we then move exactly like a robot, with patterns that are always the same.
Even on the app you have to be human, add in ever-changing times and numbers.
Another point on which we are talking about is the fact that the current automation tools are not able to perfectly emulate human actions such as mouse movement or touch on the screen.
Another point is also the ability to replicate all the information given by one smartphones, such as battery power, camera, processor and many many others.
I hope this study can be useful to all of you.
Greetings to all.
