whoer.net - Why am I not anonymous? Analysis of antifraud systems.

[DronVR]

whoer.net - Why am I not anonymous? Analysis of antifraud systems.

You wonder why I'm not anonymous? Indeed [DLMURL] https://www.whoer.net [/ DLMURL] shows anonymity of 100%
Yes, you have 100% anonymity but that doesn’t mean that you are “anonymous”
Whoer.net determines directly from Antifraud systems.

Imagine that you went to a resource from your personal computer, no matter what. Just for surfing or for committing an illegal act.

You went to the resource, and at that moment the resource remembered you at least the following identifiers :

- IP address
- UserAgent
- Timezone

These are the minimum identifiers that use 99.9999% of resources.

But if you intend to go to the resource, do something, change the IP and repeat the action, this will definitely not work. Because the resource remembered you for the first time, according to the identifiers.

You can see for yourself, in the FireFox browser download an addon called FP- Block

 https://addons.mozilla.org/en-US/firefox/addon/fp-block/

After installing this add-on, when you visit a website, it will show what data a particular resource is asking for you.

In addition to the identifiers described above, there are others. Canvas Fingerprint, JavaScript, WebRTC, Flash, Language, etc.

The logic is built in such a way that if you aim to enter the site, do something there, change the IP and repeat, it will not work. Because the site remembers all the identifiers about you, and changing the IP address, the site will still know that you are you. And what should we do in this situation?

Let's do everything in order?
Go to whoer.net from your regular computer, you will have at least 80% anonymity, or even 100%
This resource matches your identifiers with other parameters. For example, your IP address is Russian and you live in Moscow, for example, whoer.net will determine this. But if your local time is set differently, for example, Kaliningrad, then whoer.net will swear and squeak with detections, then you are not anonymous ..

And so, we just checked our “anonymity” and visited the site of the bookmaker’s office and approved some sort of promotional code, thereby earning 500 rubles for example. To repeat such a life hack, changing the IP is not enough, using the FP-Block add-on we will determine what parameters this site is requesting from us.
For example, it asks - Useragent, region, IP, JavaScript, Language.

We need to replace all these parameters and clear the browser from the cache, if at least one parameter is not changed, then nothing will come of it, because the resource remembered this parameter earlier.

For example, we dealt with this problem, but we need to double-check. We go to whoer.net and check if our anonymity is low, this does not mean that we are not anonymous, it means that we have problems with the substitution of identifiers! And any antifraud, like whoer.net, will reveal us that we are crooks and are trying to deceive someone.

They often write to me with questions about anonymity and take as evidence, a percentage from whoer.net with the words "look what anonymous I am, 100% al"

The whoer.net resource should never be used to check your pseudo-anomaly. If your goal is to deceive the resource by substituting other identifiers so that your personal identities do not shine, then whoer.net will help you with this. If your goal is to remain anonymous while surfing, then it’s valid reverse effect . The less percent of anonymity, the better. No matter how funny it sounds ...

Let us a little sanctify the question of fraud and antifraud in general, and what it is.

What is Frod?

Fraud is the commission of any fraudulent operations, most often found among bank cards, both in the form of a payment instrument and the plastic itself. Also phishing, skimming and any hacker attacks.

Antifraud it is a “surveillance” system and fraud prevention. Antifraud works in real time and verifies each payment in the system using many filters. The antifraud system itself works on the principle of tracking the payment and conducting an analysis, if any unusual or suspicious actions, based on these facts, the system decides whether to skip the payment or not. Antifraud works in two modes, it is both automatic and manual.

In the event of an anti-fraud system, for example, when paying with a credit card. Your payment may be declined and after that, the manager will contact you by phone to clarify any details.

What are the most common filters?
- Manual entry of a bank card in the column. In the case of copying Ctrl + V bank card, the payment may be rejected

- A geographic filter, for example, the Russian Federation refers to the High Risk range, in case of payment with the Russian Federation in any online store abroad, the payment may be rejected if the antifraud system works and your system seems suspicious.

- Identity matching filters. This is exactly what I described above.

- Filter matching bank card and region. For example, your card is issued by a Russian bank, and you pay from the IP address of Africa, with delivery to Germany, plus you have a Japanese language browser. In this case, the payment will not pass with a probability of 99%

- Authorization limits. The number of attempts to pay from a card or IP address.

We examined this as an example of an online store, but we should not forget that in addition to online stores, there is antifraud on almost any resource, for example, bookmakers, online casinos, poker rooms, microloan services. Wherever there is a financial footprint, there is antifraud.
Taken from Setup Security.