In the modern digital space, the boundaries between public and private are rapidly blurring, turning instant messengers into powerful tools for collecting intelligence data. Telegram It has long ceased to be just a means of communication, having been transformed into a platform where thousands of automated scripts function, capable of aggregating huge amounts of information about users. These tools, often called "punching" or OSINT bots, use database leaks, open sources and social engineering to create dossiers.
The use of such services raises serious questions not only of ethics, but also of legislation, since many actions may fall under articles of violation of privacy. However, regardless of the moral assessment, understanding the mechanisms of these algorithms is necessary for every user for their own digital security. In this article, we'll look at exactly how such systems work, what data they can reveal, and how to minimize your digital footprint.
It is worth noting right away that most of these bots operate in the “gray” zone of the Internet, constantly changing addresses and methods of bypassing blocking. The main source of data for them is not real-time hacks of Telegram servers, but old leaks of passwords, phone numbers and correspondence collected from various compromised databases over the past 10-15 years. That is why even deleting an account today does not guarantee the disappearance of information about you from hackers’ archives.
Mechanisms for operating OSINT tools in instant messengers
The operating principle of such bots is based on an automated query to local or remote databases that were previously collected by attackers. When a user enters a phone number or username, the bot sends a query to its database, which can contain millions of records, and produces results in a fraction of a second. This is not magic, but the result of painstaking work on aggregating information from open and closed sources.
Often, such bots use the API of the messenger itself to obtain basic information that the user himself has made available, and then supplement this data from third-party leaks. For example, knowing a phone number, you can get an avatar photo, last visit time (if privacy settings allow) and a list of shared channels. Next, the algorithm checks this number against delivery databases, taxis, or registrations on dubious sites.
Technically, the process looks like this:
- 🔍 The bot accepts an identifier (number, nickname, ID)
- 🗄️ Searches for matches in local SQL database dumps
- 📡 Request to external APIs to obtain the current account status
- 📄 Generate a report and issue it to the user
It's important to understand that many "paid" bots are simply the front end for larger, more complex systems that sell access to data in bulk. Access to such tools often sold on a subscription basis, which creates the illusion that the service is legal and secure, when in reality you are simply paying an intermediary for access to stolen data.
Types of data available through automated scripts
The range of information that can be obtained through such tools ranges from innocuous public data to sensitive personal information. First of all, the data that the user leaves in the public domain is collected: first name, last name, profile photo, biography and geolocation (if it is included in messages). This data is available to anyone who knows your contact or username.
A deeper level includes data from leaks: email addresses associated with a number, old passwords, registration data on various services (food delivery, taxis, online stores). Sometimes passport data appears in the databases if the phone number has ever been used to register on sites that have been hacked and whose databases have been leaked online.
Below is a table classifying data types by availability and source:
| Data type | Source of receipt | Risk level | Possibility to hide |
|---|---|---|---|
| Avatar and name | Telegram public profile | Low | High (privacy settings) |
| Geolocation in messages | Message history, Forwarded messages | High | Medium (clear history) |
| Email and social networks | Database leaks (SQLi, dumps) | Critical | Low (data already online) |
| Device model | Technical data of the client (User-Agent) | Average | High (device/OS change) |
Data on your social circle deserve special attention. Some advanced algorithms are able to analyze common groups and channels, identifying a person's social connections. This allows for a social graph showing who a person communicates with, where he works and what he is interested in. Digital footprint it is almost impossible to erase completely, since a copy of the information remains with everyone you ever wrote to.
Use the People Nearby feature with extreme caution or disable it completely, as it allows you to triangulate your location to within a few meters even without turning on GPS in the app itself.
Legal aspects and risks of use
Using tools to find information about people without their consent is borderline legal or outright prohibited in many jurisdictions. In Russia, for example, there are articles of the Criminal Code of the Russian Federation concerning violation of privacy, illegal collection and dissemination of information about the private life of a person. Purchasing or using databases containing personal data may also be considered an offence.
The danger lies not only in legal liability, but also in the risk of becoming a victim of scammers. Many bots offering “breakthrough” are designed to collect money or steal data from the users themselves. By requesting information about someone, you can inadvertently share your phone number and IP administration with the bot, becoming the next target for attack or blackmail.
⚠️ Attention: The use of bots to obtain data about third parties may be regarded by law enforcement agencies as aiding in violation of the law on personal data. Even if you are not the creator of the bot, there are consequences to using illegal databases.
In addition, there is a risk social engineering. The information obtained is often used for phishing attacks, when attackers, knowing the name, number and last places visited, call the victim on behalf of the bank or security service, instilling trust and luring money. Thus, even indirect participation in the circulation of such data raises the overall temperature of cybercrime.
☑️ Digital security check
Technical methods to protect against data collection
To minimize risks, it is necessary to take a comprehensive approach to setting up privacy in the messenger. The first step is to limit who can see your phone number. In your privacy settings, it is recommended to set the "Who can see my phone number" setting to "Nobody" or "My Contacts". This will prevent random people from adding you to their databases.
The second important aspect is managing the visibility of the last visit and online status. By hiding this parameter, you complicate the task of analyzing your activity and daily routine. It’s also worth disabling contact synchronization so that numbers from your phone book are not uploaded to the messenger servers and are not associated with your profile in other people’s databases.
Recommended algorithm for protection actions:
- 🛡️ Set a complex password for your cloud account
- 🚫 Prevent forwarding messages from strangers
- 📵 Disable number display for everyone
- 🗑️Regularly clear your call history inside the app
Don't forget about the physical security of the device. Access to an unlocked phone gives full access to all correspondence and hidden chats. Using biometrics and a short auto-lock screen timeout is basic security hygiene in today's world.
Secret chats and their impact on privacy
Secret chats on Telegram use end-to-end encryption and are not stored on the company's servers. However, if an attacker has physical access to your unlocked device, they will be able to read them. In addition, screenshots in secret chats on Android can be blocked, but this does not always work on iOS, and no one has canceled the camera.
Analysis of popular services and their functionality
There are many services on the market that position themselves as tools for checking counterparties or searching for people. Some of them are legal and work with open data (court cases, enforcement proceedings), while others disguise illegal penetration as “analytics”. It is important to be able to distinguish between these tools.
Legal aggregators usually require extended authorization (for example, through State Services) and provide information that is already public by law. Illegal bots work anonymously, accept cryptocurrency and provide data that should not be publicly available: correspondence, exact location in real time, content of deleted messages.
The functionality of such systems often includes:
- Search by phone number and photo
- Determining the operator and region of registration of the SIM card
- Search for accounts in other social networks by nickname
- Checking for participation in fraudulent schemes (blacklists)
Users are often confused OSINT (open source intelligence) with hacking (hacking). True OSINT does not require violating the integrity of systems; it merely assembles disparate pieces of the puzzle. However, the line is thin: using stolen databases for “asynth” is already working with compromised information, which changes the legal status of the actions.
The main idea: Complete anonymity on the Internet is impossible, but proper privacy settings and digital hygiene make collecting information about you economically unprofitable for most attackers.
Psychological aspects and ethics of the digital footprint
Requesting information about a person without his knowledge is often dictated by mistrust, jealousy, or a desire to protect oneself. However, invasion of personal space, even digitally, has consequences for the mental health of both parties. The realization that everyone can know about you creates an atmosphere of paranoia and constant tension.
On the other hand, the presence of such tools forces users to be more responsible for their words and actions online. A digital footprint remains forever, and information posted back may resurface at the most inopportune moment. This creates a new ethic of behavior, where every action has long-term consequences.
It is important to remember the principle of “digital minimalization”. You should not store photographs of documents, card numbers and other sensitive information in instant messengers. Use the Disappearing Messages feature for important conversations and regularly review your social media accounts to remove unnecessary items.
⚠️ Attention: Even if you deleted the message from yourself, it could have been saved by the interlocutor or ended up in the backup copy of his device. Never write in a chat what you are not ready to see on the TV screen in prime time.
FAQ: Frequently asked questions
Is it possible to completely remove yourself from all databases?
It is almost impossible to completely remove yourself from all existing databases. Once information has entered the network and has been copied into many dumps, it is impossible to control its distribution. However, you can minimize the amount of new information by strictly controlling your privacy settings and not registering on dubious resources.
Is it legal to use such bots to screen employees?
Checking employees using illegal databases (punching) is a violation of the legislation on personal data. The employer has the right to request only the information that the employee provides himself or to check open sources (court cases, credit history with the consent of the subject).
Are bots that simply show an avatar by number dangerous?
In themselves, they may seem harmless, but the fact of contacting such a bot is recorded. The owner of the bot receives your number and the fact of interest in a certain person. In the future, this data can be used for targeted advertising, phishing, or sale to third parties.
How can I check if my data has been leaked?
There are services (for example, Have I Been Pwned or analogues in Telegram) that allow you to check whether your email or phone number appears in known leaks. However, they should be used with caution; it is better to do this through the web interfaces of trusted cybersecurity companies, rather than through dubious bots.