PDF Password Cracker can remove password protections from Adobe Acrobat PDF files with owner and user passwords. It uses Key search attack to decrypt files with 40-bit encryption.

One unique feature of PDF Password Cracker Enterprise is its Key search attack, which guarantees the decryption of PDF files that use 40-bit encryption, regardless of the password length. This is a valuable tool for users who need to quickly and easily access password-protected PDF files.
Additionally, PDF Password Cracker Enterprise can remove a wide range of security options and metadata from PDF files. This includes removing javascript code, embedded thumbnails, comments, embedded files, bookmarks, private data, named destinations, form actions, digital signatures, and recompressing data streams.
PDF Password Cracker Enterprise is easy to use, does not require Adobe Acrobat software, and supports all Windows systems. It also supports PDF 6 (Acrobat 7.x) files, including 40-bit RC4 decryption, 128-bit RC4 decryption, AES decryption, compressed files, and unencrypted metadata. The software also supports Adobe Standard 40-bit decryption and Adobe Advanced 128-bit decryption.
The software uses Brute-Force and Dictionary attacks to recover passwords and automatically saves the password search state, allowing users to resume after a stop or crash. Additionally, patterns can be used to minimize search time if any part of the password is known.
Overall, PDF Password Cracker Enterprise is an impressive software tool that offers a range of valuable features and benefits for users who need to access password-protected PDF files quickly and efficiently.
Version 3.0: Remove user password, open password, owner password and master password from encrypted Adobe PDF file, Remove more security options from PDF file: Remove metadata, Remove javascript code, Remove embedded thumbnails, Remove all comments, Remove embedded file, Remove bookmarks, Remove private data, Remove named destination, Remove all form actions, Remove digital signatures, Recompress data streams