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As you already know, all transactions taking place on the blockchain network are public. This means that you can find out the following information from a certain wallet, even someone else's:The article is written with an educational purpose and does not call for actions prohibited by law, and does not create propaganda. Any actions described below are fictitious.
- Current balance;
- The total number of transactions;
- Transaction amounts for all time;
- Sender and recipient wallet addresses.
Since all data is available for analysis, we will be able to trace the entire path of bitcoin transactions of a particular crypto wallet. But the problem is that we will have an array of data on hand, which is easy to get confused in. That is why we will use Orbit for visualization in order to further analyze bitcoin transactions.
Orbit is a special utility designed to study the bitcoin wallet network by recursively traversing the transaction history.
Unfortunately, the graph of the rendered transactions does not completely solve the problem of excess data. But with this tool, you can reveal the main source of money, endpoints, suspicious transactions and much more.
Installation and operation
First, install the git package, if you don't have it:
Code:
apt-get install git
Next, we clone the tool repository from GitHub:
Code:
git clone https://github.com/s0md3v/Orbit
Open the folder with the utility:
Code:
cd Orbit /
To open the utility help, enter the command:
Code:
python3 ./orbit.py -h
As we can see, the analysis wallet must be specified after the -s option. All other options are optional.
We will run the utility for the first time with the -d option, which adjusts the crawl depth. This option will set the crawl depth to 1 to view only those wallets from which or to which transactions were made in relation to this wallet:
Code:
python3 ./orbit.py -s <bitcoin wallet address> -d 1
The utility will install the additional program Quark, which is necessary for generating and visualizing the graph.
After all requests have been completed, the utility will save the entire result to a file that can be opened with a web browser. Don't worry if your graph looks something like this:
Select the Make Clusters option to form clusters beautifully using a specially designed algorithm. After that press Spacify to fix the overlapping nodes and faces.