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Fixing Telegram Account Blockage with WTelegram TDLib

Solution for permanent Telegram account blockage after authorization with WTelegram and TDLib libraries. Learn the causes and prevention methods.

#account-blockage#tdlib#telegram-api#telegram-development#wtelegram

How to fix the issue of permanent Telegram account blocking after authorization using WTelegram and TDLib libraries?

I am a beginner developer creating my own Telegram application using WTelegram and TDLib libraries. After authorizing the application with my Telegram account, an immediate permanent block (freeze) of the account occurs.

The problem occurs regardless of whether I use the WTelegram library or TDLib. Even with minimal code containing only the authorization process, the result remains the same.

I have studied many articles, code examples, official documentation, and consulted with AI assistants, but I have not been able to determine the cause of this problem.

I have a Python code example from another developer where this problem is not observed. I am ready to provide my authorization implementation code for analysis.

NeuroAgent

Constant Telegram Account Blocking When Using WTelegram and TDLib Libraries

Constant Telegram account blocking when using WTelegram and TDLib libraries is typically related to violations of Telegram API restrictions, improper session management, or aggressive activity. The main reasons include exceeding request limits, using non-standard behavior patterns, or lacking proper error handling.

Table of Contents

Main Reasons for Account Blocking

Direct account blocking after authorization is most often caused by the following factors:

API Limit Exceeding
Telegram imposes strict rate limits on API usage. Even with minimal code, improper request patterns can trigger automatic account protection mechanisms. The Telegram API has specific limits that must be respected to avoid account suspension.

Non-Standard Behavior Patterns
WTelegram and TDLib libraries create differences from official Telegram clients. Telegram’s automated security systems may recognize non-standard behavior patterns and block suspicious actions.

Session Issues
Improper session management, especially with frequent re-authorizations or simultaneous connections from a single device, can be perceived as a security threat.

Lack of Proper Error Handling
Many beginning developers don’t implement proper API error handling, leading to repeated authorization attempts and request spam to Telegram servers.

Important: Even if your code seems simple and harmless, Telegram analyzes many parameters: request frequency, time patterns, geographic location, and client behavior.

Optimizing WTelegram Usage

To prevent blocking when using WTelegram, follow these recommendations:

Setting Delays Between Requests
Always add random delays between requests to simulate human behavior:

python
import asyncio
import random

async def safe_request(func):
    delay = random.uniform(0.5, 2.0)  # Random delay 0.5-2 seconds
    await asyncio.sleep(delay)
    return await func()

Caching Results
Avoid duplicate requests by implementing a caching system:

python
from functools import lru_cache

@lru_cache(maxsize=128)
def get_user_info(user_id):
    # Logic for getting user information
    pass

Handling Temporary Errors
Implement exponential backoff when receiving errors:

python
async def api_request_with_retry(request_func, max_retries=3):
    for attempt in range(max_retries):
        try:
            return await request_func()
        except Exception as e:
            if attempt == max_retries - 1:
                raise
            wait_time = 2 ** attempt  # 1s, 2s, 4s
            await asyncio.sleep(wait_time)

Using Official Client
Consider using compatibility mode with the official client through initialization parameters:

python
client = WTelegram.Client(
    session_name='my_session',
    api_id=your_api_id,
    api_hash=your_api_hash,
    connect_timeout=10,
    request_retries=2,
    timeout=10
)

Proper TDLib Usage

When using TDLib, it’s important to consider its architectural features:

Proper TDLib Initialization

python
import tdjson

# Setting up logging for debugging
def setup_tdlib_logging():
    def logging_callback(log_level, message):
        print(f"TDLib [{log_level}]: {message}")
    
    # Setting correct parameters for authorization
    authorization = {
        'api_id': your_api_id,
        'api_hash': your_api_hash,
        'database_encryption_key': '',  # Can be left empty for tests
        'use_test_dc': False,
        'database_directory': './tdlib_data',
        'files_directory': './tdlib_files'
    }
    
    return authorization

Session Management

python
async def manage_tdlib_sessions():
    # Saving session state
    async def save_session_state():
        # Logic for saving state
        pass
    
    # Restoring session
    async def restore_session():
        # Logic for restoration
        pass

Optimizing TDLib Requests

python
class TDLibManager:
    def __init__(self):
        self.request_queue = asyncio.Queue()
        self.max_concurrent_requests = 1  # Concurrent requests
        
    async def process_requests(self):
        while True:
            request = await self.request_queue.get()
            try:
                await request()
            finally:
                self.request_queue.task_done()

Prevention Strategies

Activity Monitoring
Implement a system for monitoring request count:

python
class RequestMonitor:
    def __init__(self, max_requests_per_minute=30):
        self.max_requests = max_requests_per_minute
        self.requests = []
        
    async def can_make_request(self):
        now = asyncio.get_event_loop().time()
        # Remove old requests
        self.requests = [req_time for req_time in self.requests 
                        if now - req_time < 60]
        
        if len(self.requests) >= self.max_requests:
            wait_time = 60 - (now - self.requests[0])
            await asyncio.sleep(wait_time)
            return False
        
        self.requests.append(now)
        return True

Simulating Natural Behavior

python
import random

class NaturalBehaviorSimulator:
    @staticmethod
    def get_random_delay():
        return random.uniform(0.1, 1.5)
    
    @staticmethod
    def get_random_typing_delay():
        return random.uniform(0.5, 3.0)

Using Proxies and IP Rotation

python
async def get_random_proxy():
    # Implementing proxy server rotation
    proxies = [
        'http://proxy1.example.com:8080',
        'http://proxy2.example.com:8080'
    ]
    return random.choice(proxies)

Limiting Application Features
For testing purposes, limit application functionality to a minimum:

python
class SafeTelegramApp:
    def __init__(self):
        self.initialized = False
        self.last_action_time = 0
        
    async def initialize_safely(self):
        if not self.initialized:
            await self.safe_authorization()
            self.initialized = True
    
    async def safe_authorization(self):
        # Only authorization without other actions
        pass

Diagnosis and Debugging

Activity Logging
Implement detailed logging of all Telegram interactions:

python
import logging

logging.basicConfig(
    level=logging.DEBUG,
    format='%(asctime)s - %(levelname)s - %(message)s',
    handlers=[
        logging.FileHandler('telegram_activity.log'),
        logging.StreamHandler()
    ]
)

async def log_api_call(method, params=None, result=None, error=None):
    logging.info(f"API Call: {method}")
    if params:
        logging.debug(f"Params: {params}")
    if result:
        logging.debug(f"Success: {len(str(result)) > 1000 ? str(result)[:100] + '...' : str(result)}")
    if error:
        logging.error(f"Error: {error}")

Code Analysis for Issues
Check your code for the following anti-patterns:

python
# Bad example - immediate sequential requests
async def bad_pattern_example():
    client = WTelegram.Client(...)
    await client.connect()
    await client.get_me()  # Request 1
    await client.get_chats()  # Request 2
    await client.get_dialogs()  # Request 3
    # ...

# Good example - with delays and error handling
async def good_pattern_example():
    client = WTelegram.Client(...)
    await client.connect()
    await asyncio.sleep(random.uniform(1, 3))
    
    try:
        me = await client.get_me()
        await asyncio.sleep(random.uniform(0.5, 2))
        
        chats = await client.get_chats(limit=10)  # Limit quantity
        await asyncio.sleep(random.uniform(0.5, 2))
        
        dialogs = await client.get_dialogs(limit=5)
    except Exception as e:
        logging.error(f"API Error: {e}")
        # Proper error handling

Testing in a Sandbox
Use test accounts for development:

python
async def test_in_sandbox():
    # Creating test environment
    test_client = WTelegram.Client(
        'test_session',
        api_id=TEST_API_ID,
        api_hash=TEST_API_HASH,
        connect_timeout=15
    )
    
    try:
        await test_client.connect()
        # Testing functionality
    finally:
        await test_client.disconnect()

Recovering Blocked Accounts

If an account is already blocked, there are several recovery methods:

Contacting Telegram Support

  1. Through the official @SpamBot interface
  2. Through the feedback form on the Telegram website
  3. Through the built-in recovery mechanism

Analyzing Blocking Reasons
Check your logs for the following patterns:

  • Too frequent requests (more than 30 requests per minute)
  • Requests during non-working hours (e.g., 3 AM)
  • Unnatural activity patterns

Implementing a Safe Client

python
class SafeTelegramClient:
    def __init__(self, api_id, api_hash):
        self.api_id = api_id
        self.api_hash = api_hash
        self.request_count = 0
        self.last_reset = time.time()
        
    async def make_request(self, method, **kwargs):
        # Checking limits
        await self.check_rate_limits()
        
        try:
            result = await self.client.invoke(method(**kwargs))
            self.request_count += 1
            return result
        except Exception as e:
            self.handle_error(e)
            raise
    
    async def check_rate_limits(self):
        now = time.time()
        if now - self.last_reset > 60:  # Reset counter every minute
            self.request_count = 0
            self.last_reset = now
            
        if self.request_count >= 20:  # Conservative limit
            wait_time = 60 - (now - self.last_reset)
            logging.warning(f"Rate limit reached, waiting {wait_time:.1f}s")
            await asyncio.sleep(wait_time)
            self.request_count = 0

Recommendations for Creating an Application
For successfully creating a Telegram application:

  1. Start with minimal functionality - only authorization and basic operations
  2. Use official examples - study code from the official documentation
  3. Test on multiple accounts - use test accounts for debugging
  4. Implement gradual scaling - gradually add features as you test
  5. Monitor API updates - Telegram regularly updates its restrictions and requirements

Conclusion

Constant account blocking when using WTelegram and TDLib is usually related to violations of Telegram API restrictions and non-standard behavior patterns. The main solutions include:

  1. Implementing proper request management with random delays and frequency limiting
  2. Implementing caching to avoid duplicate requests
  3. Adding error handling with exponential backoff
  4. Using activity monitoring to control API limits
  5. Testing in a safe environment before deployment

To solve your specific problem, provide your implementation code, and I can give more precise recommendations for optimization. Remember that even small changes in API interaction patterns can significantly reduce the risk of account blocking.

Sources

  1. Telegram Bot API Documentation - Rate Limits
  2. TDLib Documentation - Authorization
  3. WTelegram GitHub - Usage Examples
  4. Telegram API Guidelines
  5. Telegram Bot FAQ - Account Restrictions
What API limits exist for Telegram and how to avoid them when developing applications?How to properly handle sessions in WTelegram and TDLib to prevent account blockage?What methods exist to recover a blocked Telegram account after using third-party libraries?How to set up delays between requests in Telegram API to simulate natural user behavior?What anti-patterns in code lead to Telegram account blockage when using WTelegram and TDLib?How to use proxy and IP rotation for secure work with Telegram API in application development?
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