Passcovery Password Recovery: Top Speeds Now Available for PDFs
St.Petersburg, Russia (November 6, 2013) — Passcovery announces the release of Accent PDF Password Recovery, the latest tool for recovering and deleting passwords to files created in any version of Adobe Acrobat. Passcovery’s new software guarantees lightning-fast recovery of document open passwords and instant deletion of permissions passwords for any files created in Adobe Acrobat 2-XI.
Passcovery, a leading supplier of high-speed password recovery solutions, is expanding its line of software tools with the release of Accent PDF Password Recovery, or AccentPPR, a new product for handling Adobe PDF files.
Accent PDF Password Recovery supports all types of encryption for all PDF versions, from PDF 1.2 files created in Adobe Acrobat 2 to PDF 1.7 EL8 files created in Acrobat XI.
Passcovery’s specialists performed detailed optimization of the AccentPPR source code in order to maximize the speed advantage common to all of its software when run on any modern Intel or AMD processor. The test results are impressive.
Support for Adobe PDF Encryption
There are two types of passwords used to protect PDF files: Document open passwords are used to restrict access to data, and permissions passwords are used to restrict how the data can be used.
Accent PDF Password Recovery recovers and deletes both types of passwords.
Document open password (also called the User password). If a file has a document open password, then all of the data in the file is encrypted using a complex encryption algorithm. Anyone wanting to access the data must enter the password before the file will open.
Over the years, Adobe has used a variety of algorithms to encrypt the data in PDF files. Some of these algorithms are more difficult to crack than others. Accent PDF Password Recovery can recover passwords for PDF files using ANY type of encryption.
Accent PDF Password Recovery was specifically optimized for each type of encryption used in all the different versions of PDF files. As a result of this painstaking work, AccentPPR guarantees top-speed recovery of document open passwords, regardless of the file version.
Permissions password (also called the Master password). A PDF file with a permissions password may be opened by any user, but other actions are restricted (for example, it may not be possible to print or edit the file or copy its contents). The permissions password must be entered in order to remove these restrictions.
Accent PDF Password Recovery offers instant decryption of protected PDF files and password deletion to remove restrictions.
About Adobe PDF Files
Portable Document Format, better known as PDF, was created by Adobe Systems in 1991 and was presented to the world at Comdex in 1992, where it was recognized with the "Best of Comdex" award. Over the years, Adobe PDF became the unofficial standard for cross-platform exchange of text and graphic files. In 2008, the International Organization for Standardization (ISO) published standard ISO 32000 for Adobe PDF 1.7.
Passcovery Co. Ltd. is a provider of high-speed, professional software solutions for password recovery, which also support GPU acceleration on AMD and NVIDIA video cards. The earliest versions of these software products were released in 1999. Now the applications are successfully used by governmental bodies, investigation agencies, corporations, private businesses, and home users all over the world.
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October 14, 2016 - AccentOPR 9.5: quick recovery of Microsoft Office/OpenOffice passwords is now supported by NVIDIA Pascal and the new AMD GCN GPU’s
October 13, 2016 - AccentEPR 7.91, AccentWPR 7.91: beginning-level password crackers for all versions of Microsoft Excel and Word
October 12, 2016 - AccentPPR 1.40: update to fast password cracking for Adobe PDF documents
October 11, 2016 - AccentRPR 3.60, AccentZPR 4.95: support was added for video cards NVIDIA Pascal (GeForce GTX 1070/1080) and AMD GCN latest generation (Radeon RX480)
April 19, 2016 - AccentRPR 3.51: we improved dictionary functions and overall made the program better