Password-Parser

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Password-Parser

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Parses passwords from raw, unstructured text

Password-Parser 최신버젼 다운로드

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// repository documentation

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Hurl is a tool that extracts unique username/password combos from raw data in a variety of formats. This tool will identify, extract, clean, and then sort any combos found in the data.

*Note: I am uploading this in an unknown state, it might not work as-is. Also you shouldn't place this on a public-facing web site for now.*

This repository includes both a command-line parser (hurlc.php) and a web page version. You definitely should not upload the command-line version to your web site.

This code is mostly optimized for readability and accuracy at the expense of speed. Works well with small to medium-sized files, but may be a bit slow on very large files.

Combo Parsing
This tool will identify usernames and passwords in many different formats, including the following:

username:password

username : password

username - password

http://username:password@www.example.com

http://www.example.com/members/ L:username P:password

http://www.example.com/members login:username password:password

http://www.example.com/members user: username pass: password

L:username P:password

username:username password:password

Name: username Password: password

http://www.example.com/members L: username P: password

username = username password= password

u=username p=password

Username username Password password

Password: password

Email :username@gmail.com

Password :password

name: = "username";

password: = "password";

email@address.com password

email@address.com | password

email@address.com - password

Domain.name user password

domain.name:user:password

DSN=myDsn;Uid=myUsername;Pwd=;

Provider=MSDAORA.1;Password=password;User ID=username;Data Source=data;

DEFINE ('DB_USER', 'username');

DEFINE ('DB_PASSWORD', 'password');

Limitations
Although this tool is able to recognize data in many different formats, it relies on certain clues to identify usernames and passwords. For that reason, this tool will not work well on raw tables with multiple columns of data, SQL dumps, CSV files, and other formats where the username and password data are ambigious. In the future, this tool will allow you to specify the formatting with multi-columnar data. The best workaround for this type of data is to import it into a spreadsheet and then extract the two columns that contain the usernames and passwords.

Normally this tool will expect the username to appear before the password for any particular pattern. If the raw data is not in this format, use a spreadsheet or a text editor to change the formatting.

Cleanup
By default the parser will perfrom various cleanup steps to insure the validity of the data and to compensate for parsing issues. These cleanup steps are:

* Remove usernames less than 3 or longer than 60 characters/
* Remove passwords less than 3 and longer than 40 characters/
* Remove the combos of well-known hackers (such as zima, passfan, pr0t3st, etc.)
* Remove combos that look like parsing errors.
* Remove passwords that most likely are encrypted hashes

https://xato.net

Password-Parser

Password-Parser 최신버젼 다운로드

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