KeePass – The Open-Source Password Safe

A while back we chatted about Passwords, Bloody Passwords.

Now realising that a lot of people aren’t actually going to give this really neat idea a shot, here is a more conventional method of keeping track of all those annoying passwords.

KeePass – The Open-Source Password Safe

So recognising the fact that we attract passwords like dogs get fleas, and we actually need to remember the bloody things. Plus to add insult to injury everyone insists that we use different passwords for different programs. You need a password for the Windows network logon, your e-mail account, your homepage’s ftp password, online passwords, etc. etc. etc. The list is endless.

But who can remember all those passwords? Nobody, but KeePass can. KeePass is a free, open-source, light-weight and easy-to-use password manager for Windows. The program stores your passwords in a highly encrypted database. This database consists of only one file, so it can be easily transferred from one computer to another.

KeePass supports password groups, you can sort your passwords (for example into Windows, Internet, My Homepage, etc.). You can drag-n-drop passwords into other windows. The powerful auto-type feature will type usernames and passwords for you into other windows. The program can export the database to various formats (like TXT, HTML, XML, CSV, …). It can also import data from various other formats (Password Safe v2 TXT files, CSV files, …). Of course, you can also print the password list (how else could you stick it to the side of the monitor). Using the context menu of the password list you can quickly copy password or user name to the Windows clipboard.

It uses serious encryption (AES or Twofish) and offers the optio of a keydisk or a master password.

All in all a real little winner. I must confess I use PasswordSafe by Bruce Schneier, it uses Blowfish. It’s also open source.

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.