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Introduction:
Telegram, a cloud-based messaging app with over one billion users, is increasingly used for both legitimate business and illicit activities, creating a complex landscape for investigators. Open Source Intelligence (OSINT) techniques provide a powerful framework to methodically extract and analyze publicly available information from Telegram, including user details, group data, and hidden metadata, transforming raw data into actionable intelligence.
Learning Objectives:
– Objective 1: Master core Telegram OSINT techniques, including user profile inspection, reverse image searches, and analyzing group/channel metadata.
– Objective 2: Learn to use specialized OSINT tools like `Telepathy`, `Tosint`, and `Telerecon` to automate data collection and analysis.
– Objective 3: Understand best practices for secure and effective Telegram investigations, including API key management and mitigating common security risks.
You Should Know:
1. Manual User Profile Inspection and Data Extraction
A Telegram investigation often starts with a username. This section details manual techniques to inspect a user’s profile and extract valuable intelligence. The goal is to gather unique identifiers and cross-reference them across platforms.
Step‑by‑step guide:
1. Identify the Target: The username begins with “@” and is case-sensitive.
2. Locate the Profile: Open the Telegram app and search for the username. Identify account types: personal accounts have no icon, bots have a special icon, and channels have another distinct icon.
3. Access Profile Details: Click on the account, then click on their username to open the full profile page. Note the following:
Display Name and Bio: These can be changed, but may contain unique phrases or links.
Profile Picture: Download the profile picture for reverse image searches.
Phone Number: If hidden, this may not be visible.
4. Reverse Image Search: Use the downloaded profile picture on services like Google Images, Bing Images, or Pimeyes (paid) to see if the same image appears elsewhere, potentially revealing the user’s identity across other platforms.
5. Identify Permanent Telegram ID: Unlike the username, the unique Telegram ID, assigned at account creation, never changes. Use `@get_user_id_bot` to find your own ID, or use tools like `Tosint` or `Telepathy` to obtain a target user’s ID.
6. Cross-Platform Username Search: Use tools like `WhatsMyName` or `Sherlock` to check if the same username is registered on other social media platforms.
Linux/Windows Commands (for OSINT automation):
– Install Sherlock (Linux/macOS):
git clone https://github.com/sherlock-project/sherlock.git cd sherlock python3 -m pip install -r requirements.txt
– Search a username across platforms:
python3 sherlock.py target_username
– Reverse Image Search (using `tineye` API via command line): This requires an API key from TinEye.
curl -F "image=@/path/to/profile_pic.jpg" "https://api.tineye.com/rest/search/?api_key=YOUR_API_KEY"
2. Automated OSINT Tool Setup: Telepathy and Tosint
Specialized OSINT tools significantly enhance investigation efficiency. This section covers the setup and basic usage of `Telepathy` and `Tosint`, two popular frameworks for Telegram reconnaissance.
Step‑by‑step guide (using Telepathy):
1. Obtain API Credentials: Go to `my.telegram.org`, log in with your phone number, navigate to “API development tools”, and create an application. Copy your `api_id` and `api_hash`.
2. Install Telepathy: The recommended method is using `pip`.
pip install telepathy
Alternatively, clone the repository:
git clone https://github.com/frasercrichton/Telepathy.git cd Telepathy python3 -m pip install -r requirements.txt
3. Run Telepathy: Execute the tool. On first run, it will prompt for your `api_id` and `api_hash`, then send a verification code to your Telegram account.
telepathy
4. Basic Usage: Once authenticated, you can use various commands. For example, to gather information about a public channel `@example_channel`:
/info @example_channel
To get a user’s information by their Telegram ID:
/info 123456789
5. Using Tosint: Tosint is another tool that extracts intelligence from bot tokens and chat IDs. Install it via:
git clone https://github.com/drego85/tosint.git cd tosint python3 main.py --help
3. Analyzing Groups and Channels: Extracting Metadata
Telegram groups (up to 200,000 members) and channels are rich sources of OSINT data. This section focuses on extracting metadata like member lists, message history, and channel information without joining private groups.
Step‑by‑step guide:
1. Public Group/Channel Discovery: Use Telegram’s search functionality with keywords related to your investigation. Use search operators like `”keyword”` for exact matches.
2. Use TelegramDB: This Bellingcat toolkit allows you to search for public groups and channels by title or keyword without logging into Telegram.
`title
`: Search for groups/channels by title.</h2>
`members [id or @username]`: Export a CSV list of members of a specified group (requires credits).
3. Extract Member Information: Using a tool like `Telerecon`, you can gather information on group members.
<h2 style="color: yellow;"> Setup `Telerecon`.</h2>
<h2 style="color: yellow;"> Obtain your API credentials from `my.telegram.org`.</h2>
Use the command to list members of a group you have joined:
[bash]
python telerecon.py --group "https://t.me/joinchat/..." --members
4. Automated Message Scraping: Tools like `silvertgosint` can collect all messages from a target user within groups you are a member of, saving them to a database for analysis.
5. Extracting Media Files: `Telsca` is a tool with a GUI that can scrape messages, user info, and download all associated media files (images, videos, documents) from channels and groups.
4. API Security and Cloud Hardening for Investigations
When building custom OSINT tools or integrating Telegram APIs, security is paramount. API keys and tokens are valuable targets for attackers.
Step‑by‑step guide (Best Practices):
1. Never Hardcode Tokens: Avoid hardcoding bot tokens or API keys directly into scripts. Use environment variables.
Linux/macOS:
export TELEGRAM_API_ID="1234567" export TELEGRAM_API_HASH="your_hash_here"
Windows (Command Prompt):
set TELEGRAM_API_ID=1234567 set TELEGRAM_API_HASH=your_hash_here
Python:
import os
api_id = os.environ.get('TELEGRAM_API_ID')
api_hash = os.environ.get('TELEGRAM_API_HASH')
2. Use Configuration Files Securely: If a config file is necessary, store it outside the web root and set strict permissions (e.g., `chmod 600` on Linux). Use a secrets management tool like HashiCorp Vault for enterprise environments.
3. Implement IP Whitelisting: For any self-hosted Telegram API services, restrict access to only trusted IP addresses to prevent unauthorized use.
4. Regularly Rotate Keys: Periodically generate new API keys and hashes from `my.telegram.org` and update your tools accordingly. This limits the window of exposure if a key is compromised.
5. Validate Inbound Webhooks: When using bots that receive webhooks, verify the `X-Telegram-Bot-Api-Secret-Token` header to ensure requests are genuinely from Telegram.
5. Vulnerability Exploitation and Mitigation in Telegram OSINT
Understanding potential vulnerabilities helps investigators build more resilient tools and identify weaknesses in targets’ OPSEC.
Step‑by‑step guide:
1. User ID Spoofing (Auth Bypass): Some poorly coded applications may rely solely on a numeric user ID for authorization. An attacker could potentially spoof a trusted user’s ID to gain unauthorized access if the application doesn’t use additional verification like a bot token or API hash.
Mitigation: Always use official API methods for authentication. Never trust user-supplied IDs without a valid session token or API key.
2. Token Exposure in URLs: Avoid passing API tokens as query parameters in URLs. These can end up in server logs, browser history, and referrer headers.
Mitigation: Use the `Authorization` header or POST requests with tokens in the body.
3. Prompt Injection (AI-Enabled OSINT): AI agents integrated with Telegram may be vulnerable to prompt injection attacks, where a malicious user crafts a message that alters the agent’s behavior.
Mitigation: Implement strict input sanitization and avoid giving AI agents unrestricted access to system commands or sensitive data.
4. Client-Side Exploits for Data Extraction: As an investigator, understanding how to extract encrypted data can be useful. Tools like `mtproto-mitm` can intercept MTProto traffic by extracting keys from memory or from the `tgnet.dat` file on an Android device.
Command Example (Linux – extracting key from memory):
Use a script like tdesktop-keys-extract while Telegram Desktop is running ./tdesktop-keys-extract
Mitigation for Targets: Regularly update the Telegram client, avoid using modified or untrusted clients, and use built-in secret chats for end-to-end encrypted communication.
What Undercode Say:
– OSINT is a multiplier, not a magic wand. It transforms publicly available data into structured intelligence, but it requires meticulous verification and cross-referencing to avoid false positives.
– Automation is the key to scale. Manually searching for a username across hundreds of platforms is impractical. Leveraging tools like `Sherlock` and `Telepathy` frees the investigator to focus on analysis and pattern recognition.
Expected Output:
The output of a Telegram OSINT investigation is typically a structured intelligence report containing:
– User Profile Information: Username, Telegram ID, display name, bio, phone number (if visible), and profile picture.
– Cross-Platform Footprint: List of other social media accounts using the same or similar usernames, derived from reverse image searches and username correlation tools.
– Group/Channel Metadata: For a given group, this includes the member list (exported as CSV), message history, top posters, and any media files shared.
– Actionable Leads: In threat intelligence contexts, this might include IP addresses, compromised credentials, or links to other malicious infrastructure.
Prediction:
– -1 The increasing adoption of end-to-end encryption and privacy-focused features in messaging apps like Telegram will make traditional OSINT techniques less effective, forcing investigators to rely more on metadata analysis and AI-driven pattern detection, which introduces new privacy and ethical concerns.
– +1 The open-source nature of Telegram’s API will continue to foster the development of innovative OSINT tools, democratizing access to powerful investigative capabilities for journalists, researchers, and cybersecurity professionals.
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Reported By: [Logan Woodward](https://www.linkedin.com/posts/logan-woodward-919597215_osint-socmint-telegram-share-7466505637947052032-eiKh/) – Hackers Feeds
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