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AdvancedOffice PasswordRecovery是一个多功能Office文档密码破解工具,能够处理微软公司的各种常见文档格式,涵盖从Word到Project在内的十四种类型。软件提供了“暴力”和“字典”两种破解方式,如果时间足够加上破解策略得当,Advanced Office PasswordRecovery完全可以找回用户遗忘的文档密码。
支持破解从95~07版的各类Office文档,主要格式如下:
Microsoft Word 文档
Microsoft Excel 文档
Microsoft Access 数据库
Microsoft Outlook 个人存储文件
Microsoft Outlook VBA 宏文件
Microsoft Money 数据库
Microsoft Schedule+ 文件
Microsoft Backup 文件
Microsoft Mail 文件
Visio 文件
Microsoft PowerPoint 演示
Microsoft Project 文件
Microsoft Pocket Excel 文件
Microsoft OneNote 文件
Forgettinga password to your personal email folder or a family budget can beannoying. Halting the work because of the lost password causesimmediate monetary loss. Get control over your own documents even ifthey are protected with a password! Advanced Office Password Recoveryrecovers, replaces, removes or circumvents instantly passwordsprotecting or locking documents created with Microsoft Officeapplications.
Advanced Office Password Recovery unlocksdocuments created with all versions of Microsoft Office from theancient 2.0 to the modern 2007. Recover passwords for Microsoft Word,Excel, Access, Outlook, Project, Money, PowerPoint, Visio, Publisher,OneNote, Backup, Schedule+, and Mail. Reset MS Internet ExplorerContent Advisor passwords and open any password-protected VBA projectby exploiting a backdoor.
Features and Benefits:
» Supports all versions of Microsoft Office applications from 2.0 to 2007
» Instant password recovery for multiple products
» Instantly unlocks documents with previously recovered passwords
» Exploits all known backdoors and tricks in the Office family for instant recovery
» Completely automatic preliminary attack may recover documents in less than 10 minutes
» Dictionary and brute-force attacks with user-defined masks and advanced templates
» Highly optimized low-level code for optimum performance
官网:http://www.elcomsoft.com/aopr.html
~Support Windows NT/2000/XP/2003/2008/Vista~
官方下载:
http://www.elcomsoft.com/download/aopr.zip
Crack + 简体语言文件:(注意看NFO文件信息,简体语言为"狐狸少爷"制作~)
http://w19.easy-share.com/1903157158.html
MD5: FB4289FB90D23BD63A51C1B241EA13E8
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