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https://github.com/jonperk318/telegram-parser
OSINT tool: Telegram chat parser to find credit/debit card information using keywords
https://github.com/jonperk318/telegram-parser
bank cc credit-card debit-card json open-source-intelligence osint osint-python osint-resources osint-tool osint-tools parser python telegram telegram-channel telegram-chat
Last synced: 2 days ago
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OSINT tool: Telegram chat parser to find credit/debit card information using keywords
- Host: GitHub
- URL: https://github.com/jonperk318/telegram-parser
- Owner: jonperk318
- License: gpl-3.0
- Created: 2024-08-13T03:40:12.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2024-11-04T04:15:13.000Z (4 days ago)
- Last Synced: 2024-11-04T05:19:38.727Z (4 days ago)
- Topics: bank, cc, credit-card, debit-card, json, open-source-intelligence, osint, osint-python, osint-resources, osint-tool, osint-tools, parser, python, telegram, telegram-channel, telegram-chat
- Language: Python
- Homepage:
- Size: 43.9 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Telegram Chat CC Parser 2.0
## Now able to scrape directories for JSON files
This script takes in JSON files exported from Telegram chat history and finds credit/debit card information
in posts with keyword mentions. This is to be used to search dumps for sensitive data so the victims
can be made aware of the breach and the cards can be canceled. This is ONLY created to PREVENT
further exploitation.
Accepted cc formats:\
0000000000000000|MM|YY|000\
0000000000000000|MM|YY|0000\
0000000000000000|MM|YYYY|000\
0000000000000000|MM|YYYY|0000
The | can also be a :
## How to use
This script is written in Python 3.12.0.
1. Find a Telegram channel with credit/debit card dumps in a format shown above.
2. Export chat history as a JSON (machine readable) format by navigating to the top right menu of the Telegram desktop app. Deselect all boxes and change `HTML` to `JSON`. Export as many
3. Download `telegram-cc-parser.py`.
4. Run the following command from terminal:
```python
python3 telegram_cc_parser.py [file_or_directory_path] [keyword]
```
5. After a short time, the results will be exported to a `csv` file with the following format:
- `from-channel-name`: channel name post originated from
- `from-channel-id`: channel ID
- `message-id`: unique message ID (to find exact message by appending to Telegram chat URL)
- `date`: MM/DD/YYYY
- `time`: 00:00:00
- `bin`: first 6 digits of card number
- `cc-number`: card number
- `expiration`: expiration date
- `cvv`: pin
- `link`: link to message
## Notes
Please use responsibly! This is an open-source intelligence (OSINT) tool, and as any of these tools, it should be used to counteract criminal activity and protect victim data.
I originally created this for a more narrow use case and didn't intend to share it, but I realized its potential to help a researcher/analyst that stumbles accross it. If you have any suggestions on further features, or if you encounter bugs, please open an issue. Also feel free to contact me directly!