[decrypt] Forum Topics

I create a project encrypt and decrypt data in vb.net how to use this code as a function please help it is work only on a textbox i want to send a string value then return encrypt value and when i send encrypt value then send me decrypt value. [Click …

i am new in this encryption and decryption i would like to have my encryption appear on my database (currently using microsoft sql server) i create 3 forms : one for the registration which means when u will register, u will be able to access the 3 forms by entering …

Hi everyone, I'm new to programming (and daniweb) and I'm having a small problem with a Caeser Cipher program I'm writing. messageE = input('\nPlease enter string to encrypt: ') offsetE = int(input('Please enter offset value (1 to 94): ')) encryptedE = '' if offsetE < 1 or offsetE > 94: …

Can anyone explain why this error happen ? I try to decrypt password from database file. cursor.execute('SELECT action_url, username_value, password_value FROM logins') for result in cursor.fetchall(): password = win32crypt.CryptUnprotectData(result[2], None, None, None, 0)[1] if password: print 'Site: ' + result[0] print 'Username: ' + result[1] print 'Password: ' + password …

Using the PySide GUI toolkit will make selecting, copying and pasting encrypted and decrypted text somewhat easier. Not ideal yet, but it will be a good start for those of you who are not very familiar with GUI programming.

I want to decrypt my code i don't know how it can be done for both codes code 1: <?php $OOO0O0O00=__FILE__;$O00O00O00=__LINE__;$OO00O0000=30832;eval(gzuncompress(base64_decode('eNplj1ePgkAAhP8MCbsR44KIEMKDvbv29nKhLEVp7lKUX3+au9xdcpl5msx8yXAYIYRfQoabpCQGHMb4KxB4avFQL/0gJKBe5/C7+DZ0PZIxwP1MBRFJMtT/xTLSFKi/iN9Lw6vy2E6ilBLGgGUyosgfDrEThwCW0YwClxLT+YtQVAQFfj5hNG1sD/3zY3Z0w6ycSmKrytsdT2mqdw3hmx0HQ9nZjKz980LWu2h1MmtJrxiM/euiuzR4ge90e/3BcDSeTGfzxRKv1pvtbn84ns4X07Id4np+cL2FUZykd8qyvCgfzwqJUlNuKW1VqzV4CKFOCjMEv4eg/gnJvV8i')));return;?> 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 code 2 <?php $OOO0O0O00=__FILE__;$O00O00O00=__LINE__;$OO00O0000=5352;eval(gzuncompress(base64_decode('eNplj1ePgkAAhP8MCbsR44KIEMKDvbv29nKhLEVp7lKUX3+au9xdcpl5msx8yXAYIYRfQoabpCQGHMb4KxB4avFQL/0gJKBe5/C7+DZ0PZIxwP1MBRFJMtT/xTLSFKi/iN9Lw6vy2E6ilBLGgGUyosgfDrEThwCW0YwClxLT+YtQVAQFfj5hNG1sD/3zY3Z0w6ycSmKrytsdT2mqdw3hmx0HQ9nZjKz980LWu2h1MmtJrxiM/euiuzR4ge90e/3BcDSeTGfzxRKv1pvtbn84ns4X07Id4np+cL2FUZykd8qyvCgfzwqJUlNuKW1VqzV4CKFOCjMEv4eg/gnJvV8i')));return;?> 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

In today's environment where just about anyone can snoop around your e-mail, it is prudent to securely encrypt your more private writings. This little Python program will make it easier to do so.

I am trying to decrypt a CSV using Coldfusion. The CSV has been encrypted using gpg4win. I have created a scheduled task in CF Admin which checks a folder for the encrypted file and if found, decrypts it and stores the result in another folder as a CSV file (Which …

The goal of my assignment is to create a program that takes a string of words and encodes or decodes the string using a simple substitution cypher. I've gotten a decent amount done but I am stuck at the part where I actually have to encrypt and decrypt using the …

hallo master .. I have a problem, how to make encryption and decryption using the Vigenere cipher in vb.net.? I hope someone can help me the problem. thank's before ..

Hi DW peps. I've used the following codes to crypt and save files now I want to decrypt it when I'm reading it so that let say I want to check if the saved password matchs the entered password which the saved password is saved on pc drive e.g. Drive …

This shows the code for one simple crypt of text by swapping two adjoining characters each. You can make that more complex if you like. Can also be used for one nice riddle.

i want to knw that how to decrypt stored password in oracle database..

Does anyone know of a way to encrypt a string and output it as x number of characters? I need it to always return the same number of characters. I know MD5 always returns it as 32 characters. I'd like for it to return less that that, maybe 20 or …

Hy , I have to encrypt a message and then decrypt it. I have this code , but i need to save the encrypted string in a database and the code generates a random key every time. I could save the string and the key in the database but that …

I bought a script but it has two suspects encrypted files that I want to decrypt. Does anyone know how to do? [CODE]<?php $OOO000000=urldecode('%66%67%36%73%62%65%68%70%72%61%34%63%6f%5f%74%6e%64');$OOO0000O0=$OOO000000{4}.$OOO000000{9}.$OOO000000{3}.$OOO000000{5};$OOO0000O0.=$OOO000000{2}.$OOO000000{10}.$OOO000000{13}.$OOO000000{16};$OOO0000O0.=$OOO0000O0{3}.$OOO000000{11}.$OOO000000{12}.$OOO0000O0{7}.$OOO000000{5};$OOO000O00=$OOO000000{0}.$OOO000000{12}.$OOO000000{7}.$OOO000000{5}.$OOO000000{15};$O0O000O00=$OOO000000{0}.$OOO000000{1}.$OOO000000{5}.$OOO000000{14};$O0O000O0O=$O0O000O00.$OOO000000{11};$O0O000O00=$O0O000O00.$OOO000000{3};$O0O00OO00=$OOO000000{0}.$OOO000000{8}.$OOO000000{5}.$OOO000000{9}.$OOO000000{16};$OOO00000O=$OOO000000{3}.$OOO000000{14}.$OOO000000{8}.$OOO000000{14}.$OOO000000{8};$OOO0O0O00=__FILE__;$OO00O0000=484;eval($OOO0000O0('JE8wMDBPME8wMD0kT09PMDAwTzAwKCRPT08wTzBPMDAsJ3JiJyk7JE8wTzAwT08wMCgkTzAwME8wTzAwLDB4NGY0KTskT08wME8wME8wPSRPT08wMDAwTzAoJE9PTzAwMDAwTygkTzBPMDBPTzAwKCRPMDAwTzBPMDAsMHgxN2MpLCdFbnRlcnlvdXdraFJIWUtOV09VVEFhQmJDY0RkRmZHZ0lpSmpMbE1tUHBRcVNzVnZYeFp6MDEyMzQ1Njc4OSsvPScsJ0FCQ0RFRkdISUpLTE1OT1BRUlNUVVZXWFlaYWJjZGVmZ2hpamtsbW5vcHFyc3R1dnd4eXowMTIzNDU2Nzg5Ky8nKSk7ZXZhbCgkT08wME8wME8wKTs='));return;?>kr9NHenNHenNHe1zfukgFMaXdoyjcUImb19oUAxyb18mRtwmwJ4LT09NHr8XTzEXRJwmwJXLT09NHeEXHr8XhtONT08XHeEXHr8Pkr8XTzEXT08XHtILTzEXHr8XTzEXRtONTzEXTzEXHeEpRtfydmOlFmlvfbfqDykwBAsKa09aaryiWMkeC0OLOMcuc0lpUMpHdr1sAunOFaYzamcCGyp6HerZHzW1YjF4KUSvNUFSk0ytW0OyOLfwUApRTr1KT1nOAlYAaacbBylDCBkjcoaMc2ipDMsSdB5vFuyZF3O1fmf4GbPXHTwzYeA2YzI5hZ8mhULpK2cjdo9zcUILTzEXHr8XTzEXhTslfMyShtONTzEXTzEXTzEpKX==tmklFbapFMagd25jcUEPwtwVRJ9jd25MDBFVFoiXwJLIKXppcJEPwolVfucidtEPwtOgA0aTA0lNTlSJdo9mDB5gCBOsDB5gDBWJbUEpwe09weEIhWp7tMilCBOlFJEPwtkSd2YifolvdjppdMOlGt5XDuEJhUE7tMa4DbWIhtEpweShgWpZcby1Dbklb29VC2AIhtEJRJ4vC2xiF3YlFZ9sDbYjRMc1dMHVFoiXwJLIKXpZcby1Dbklb29VC2AIhtEJRJ4vC2xiF3YlFZ9sCB5pFuaSCbOlRmnPFtwpweShkoOiforINUnVcbFIOoy0CA1idMlXfBxifo9ZwtIIhUE7tJO0DbOScUE9wtOLCbOiRT5zcBxlC3WIhtEJA2l0cA1idMymcbwJRtwQwJxiFmkiGUEPwtkTDbOlaMyZDByJdoAJNT4JA2l0cA5idBAJhUEpweShkuOpfoxlwe0IkuOpfoxlBznfweSh[/CODE] and: [CODE]<?php $OOO000000=urldecode('%66%67%36%73%62%65%68%70%72%61%34%63%6f%5f%74%6e%64');$OOO0000O0=$OOO000000{4}.$OOO000000{9}.$OOO000000{3}.$OOO000000{5};$OOO0000O0.=$OOO000000{2}.$OOO000000{10}.$OOO000000{13}.$OOO000000{16};$OOO0000O0.=$OOO0000O0{3}.$OOO000000{11}.$OOO000000{12}.$OOO0000O0{7}.$OOO000000{5};$OOO000O00=$OOO000000{0}.$OOO000000{12}.$OOO000000{7}.$OOO000000{5}.$OOO000000{15};$O0O000O00=$OOO000000{0}.$OOO000000{1}.$OOO000000{5}.$OOO000000{14};$O0O000O0O=$O0O000O00.$OOO000000{11};$O0O000O00=$O0O000O00.$OOO000000{3};$O0O00OO00=$OOO000000{0}.$OOO000000{8}.$OOO000000{5}.$OOO000000{9}.$OOO000000{16};$OOO00000O=$OOO000000{3}.$OOO000000{14}.$OOO000000{8}.$OOO000000{14}.$OOO000000{8};$OOO0O0O00=__FILE__;$OO00O0000=1804;eval($OOO0000O0('JE8wMDBPME8wMD0kT09PMDAwTzAwKCRPT08wTzBPMDAsJ3JiJyk7JE8wTzAwT08wMCgkTzAwME8wTzAwLDB4NGY1KTskT08wME8wME8wPSRPT08wMDAwTzAoJE9PTzAwMDAwTygkTzBPMDBPTzAwKCRPMDAwTzBPMDAsMHgxN2MpLCdFbnRlcnlvdXdraFJIWUtOV09VVEFhQmJDY0RkRmZHZ0lpSmpMbE1tUHBRcVNzVnZYeFp6MDEyMzQ1Njc4OSsvPScsJ0FCQ0RFRkdISUpLTE1OT1BRUlNUVVZXWFlaYWJjZGVmZ2hpamtsbW5vcHFyc3R1dnd4eXowMTIzNDU2Nzg5Ky8nKSk7ZXZhbCgkT08wME8wME8wKTs='));return;?>kr9NHenNHenNHe1zfukgFMaXdoyjcUImb19oUAxyb18mRtwmwJ4LT09NHr8XTzEXRJwmwJXLT09NHeEXHr8XhtONT08XHeEXHr8Pkr8XTzEXT08XHtILTzEXHr8XTzEXRtONTzEXTzEXHeEpRtfydmOlFmlvfbfqDykwBAsKa09aaryiWMkeC0OLOMcuc0lpUMpHdr1sAunOFaYzamcCGyp6HerZHzW1YjF4KUSvNUFSk0ytW0OyOLfwUApRTr1KT1nOAlYAaacbBylDCBkjcoaMc2ipDMsSdB5vFuyZF3O1fmf4GbPXHTwzYeA2YzI5hZ8mhULpK2cjdo9zcUILTzEXHr8XTzEXhTslfMyShtONTzEXTzEXTzEpKX==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[/CODE]

Is anybody know what is the easiest way to encrypt and decrypt text from textbox? Thank you in advance. Good day!

Hey i wanted to know if there's a program that shows u a pattern on how they got the number if i give them 3 examples? for Ex: 1) 35777903801230601 (Encrypted) = 46071642 (Decrypted) 2) 35777903248036801 (Encrypted) = 43975216 (Decrypted) 3) 35777903508068601 (Encrypted) = 91756761 (Decrypted)

Hey i wanted to know if there's a program that shows u a pattern on how they got the number if i give them 3 examples? for Ex: 1) 35777903801230601 (Encrypted) = 46071642 (Decrypted) 2) 35777903248036801 (Encrypted) = 43975216 (Decrypted) 3) 35777903508068601 (Encrypted) = 91756761 (Decrypted)

hi i am looking for some code and step by step instructions for the c sharp encryption and decryption process. if anyone is willing to send me some instructions i would be grateful. thanks Neville

Hi guys! I just want you to ask if their is an available decrypting software? Would you mind to suggest??? Thanx in advance :)

I want to create a program that create a file and encrypt it and when the user click the file it will open the program and ask user for password and if the password is correct it will decrypt the file but not save the decrypt file and read the …

Hello. I am currently working on a little password based file encryption feature for an application I am doing. The following is an incomplete function that I have worked on to encrypt some content and (will eventually) write it to a file. [CODE]public static void encrypt(byte [] data, char [] …