Challenge Part I ~ Encoding & Encrypting

 
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Challenge Part I ~ Encoding & Encrypting

Halo man, nih langsung aja soal pertama tentang Encoding & Encrypting.

1.Coba decode hash ini :
YmRjNmQzZjdkOGQ0Y2Q0OGU1OTZhYWY1MzNlYWZiYWE5Mzk1ZTVkNw==
Itu triple encoding sha1+md5+base64_encode.

2. Coba liat ini gambarnya apa Keren
Spoiler :
PHP Code: (Select All)
VBORw0KGgoAAAANSUhEUgAAAScAAAApCAYAAAB3J++FAAAABGdBTUEAALGPC/xhBQAAAAZiS0dEAP8A/wD/oL2nkwAAAAlwSFlzAAALEwAACxMBAJqcGAAAAAd0SU1FB94BGQgvGPvyF9kAACAASURBVHja7Z13mFXV​uf8/+9TpvTEzlEFAhm4UC4olImrsEjQaDYoYE71GrzF61aBGorHFlqioURIVMZqo2EEBC9gQVGz0DtN7O33fP​/a7z6xz5tSZQ56f98d6nv2cc2b2Xnut9b7r+9a1lsb+0p+iRfnU5UL53F/2l/1lAJNsf0luzCyADbDLpwpOXsAnV2A/SO0v/4fxQgsTxPp/4mVaioBLj/Jb/wETxwqkA7lyZQlImcDUCbQC7YAL8P8H+qslSDM9SluSpfd+DfH/L+vAonyql1n8ikDWU8UTWhSNwCGfliSAJxFm9iqahf4DY2wTmDKBEmAyMBs4QrnHB7wP/AP4CqgHuvchQCVDM13aYdJAl3vtciUKULpohOG03F/+b4GSaRk4hO8dymVaDFahfY8I4zbAnSqLIRwd04E8oFA0AlsEhtX7oSmZzNwBNEtHzE78UIoFyAAGAVOA​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​VoiIPknQXKM9OAjYr2vt/ES43mdKrVorHw2iMZOySPkRXZOO3WiA+dfHA589/ahAjvdBEuAy62MEYvBBgzOBeLpoMCQhoEmTZcYbNGdQn0lhFlmeZXp2LSaf+hAY/kq0jEhxYuVczx4vBRBX2AySwnTCpVfzr2odlhgiZeXwA94EfTor9m7rljWfpFDR+vb7QCF4jpidOmkZVmTXAIrQwuSjd/pO8D89wh4HMQ8EI0RrdZNHwB3dRODxJT27sfnAbE9yY/ZQNkOq2cO3WI8kRkfh9dmW1+LQrjdz0V4GRRNAPK8tNA96d0pNLswa/2fQhM0cKf1jCA8CtXpAGMGyr3+X1Rx8jn8/4nmdAvCqvW3uUiN9MR9UarBZ695jAm/mYJnS7fUDGzqW/tToreGQ6LKmhSSUuL1FlhAlN5QRrHTyhlYlUeI8uzGVqSQUVhBoXZDixnvGDSOlYg4IcEJFHEfx9e1Pc​R31vlcgJkOG0J8UVFQZr5NZ/eiLE2UICyRVCnyc+0R0XJ/hZFIwxvvCUOQYjBdCqxTF+FXfFL2BVNzan01yU+oG7FT2G+IyCX6ej3K383/8Yn6xsZNyRysG7N5uYgTtGbjKmlSIPSlYlstqsdyG3pcJObYYv58PDSDO6/ZCKXPrwG0Tioae5Jit7pdk1lZo2+eVb9mWSm1DZ9e9YMh5WdfzsVq1WLMQxBbcs2QHMimcif1k9QDn+HCiI2BRw0+kYk/WE8qYeBimOAfK8rGJAOkOawJMQXxTlBgZhFaKpBpAi1niDgYotgbxoqfiC14GQLlY5mfk2aAiqqKqiHD​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​+nOeBV4UhkqTgR+FkWSZE+PZe4G3hdAaRg7Zijj+rXAwCpc4AaXvJuHvAU4Hpj55+SRmHz804Vn5xppaTrvj075697/PiOw3PPc13L7g3F+HkQ3/N6FXttBxCjBRJllJmKnVJHT9VJ7dLkwZEJpdAFxhmhXnHlnO89dMjm5bzVicat/P8TJB2xVTXFPGXxMNrQpYHoFOgQjakvp3HTgD2CsgMRK4FCM/KNHiwliB8BxGgm+68OJpKeb7tTI/4/LF3uYeKi5dmsw4exUB1QLcIPzUqAoGTbH1c4HDZXJfYdZSmuug9snpsQ3wn74e8rtxwXQKsx2x7nsKOM​9kwhSVXQIexff+oprJI/IYPySb/Ky+7Xj6vV3M+utXjCzL5OpTqzhhYhHDijMI6Dqba7p564t65i/dwZY60yJjNcZSlIPpTedXNZ8MlVbCQO3ArTIBM2VC7otSL1re6SGM9K9TE3r4svnrePzdnabWkRHr2Zw​L3qLD5UfAuk6c1h4B3ouFdxIt3QL8L8n3001g0oDcDBvXnnEAN80YmTDfpaiciJHDZVM03IBi8uVh5Ij​1t3QBs8T0uUWEHdUVWZw/tYKjxxQwalAmReLHaWz38M2uDpZ82cAz7++mrs1j1vMxcJ8AyWP7iO/XyhhMiMUXTR0eii5eSl6GjXJxjvsDOl6fjscXwO0L4PL4cXkDeP0RjYR1ohh9IYAVAHSbIom7pDFWkYT​DgJ96/Xpc1VpxyTcDBTvquyjMCtV2a1vc6s/ZACU5Di46rpITJxYxfkg2hdkOejx+vt7Zwcuf1fHEuztp6fKhv2gIFr9fR0cP6XiHy8+wy1cgdnUDwIVHl1OS65RZ2rft5x81iG93dTDv3FE47JaQnowdnMnYwVX89ynDeOCNbdy0aCNuX2CyTMb​SJEwMhPl+q4KX2RcIzR2DkMyNYJ6Yjk4gQEjemC+g4/PrHHz9SvY0u0uADcArwJm9lSVm3dx/UTXLv2lkc213RrxnnXaLCU4rgO+F9IcBfzBNiZFlGZwzZRDHjClgdEUWpblOrBaNxg4PX+1o54019Sz8cC9Nnd4M4JdizjwuWlb6f58yjNvPO5B0pzVuP9SxNEvhxe/gsGnUPDEtuXDZzDfNr2MFZCNJ5EfEzA++X80BC1GZdPPvvbTOunCp6ZeZBFwCDBqU5+TB2WOYecSgiO0qy3NQllfItPGFzDt3JPe8upV5/9qM168fAVwrdGcf8f2PBBNi84WQ6mdHlvPoL8fFVpl8Abrcftq6fTR1eDjlT6upbfVMEFM2JC3FpqibH​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​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​R0hVc6uUN52FbjHcFDHBKzrb2eP3hE9PM5+DE8Xkx63p8eQ3PrKzH7Qtw2Y8HccmxZTHfNf3Or9WJeTf​wgTj1CUZb4rT9wbf3cNfru+h0BTh/SjF3/6wKv65z+r1f09bjB9gkNv2xOxpc/fEzmJuztQN5T39Qw4/H5jEoz0FJjp3sdIMEa7cb+SczJhey6IrR2G2x2/77F7dzx+KgdPseI9fLkYg/ZPWWDiYfENk3cfHRJTF8TkFwGgFwzmFFUe+9YsFGnnzfYMLBBQ6OGpUT9d5PN7Xj9hk8efmCTVy+YJPR​hWenxvZ1XvBhtOzV2g/WtwWZ5+qTyhnbawL3DQisqg/6OP84c2jMsbv3vCre+KKJ2jYvjZ0+Wrp8DCmM7jd6ZmVdX5AbnRPzHfNe3skj7+6lvcfPrKml/HXWASE7hISad/kmOBVh5F79OIV8vyAkNhOjTosGFx9dyr3nDycv0xbx3k6Xn58/sp5X1zaH/2sFRjTcEw+cQkwEXdeTmpDuXnDyKI6uMoAJgzOi1vXA23v574Xbgr8/37qJNBv8/MiSRF77Z4yNseox8ox2JgJO//ykgauf3Rr8/djyWlZuaCMn3camOhcCdA8iCyFXbWpHu+DD3kF65siE3CAYiYavA6fe8tLOIbe8tDNkwhdl26lp9XDJM​SU8PnsEFkv0dru9AS56fBPPf9IY7IZE6NpQk0Jj9PuKv2/m0z9MiLmDQRznZQXA4QdkRn3Pwo/qSbNr/PbkCm46o9KIyka5d+nXQWZdC/woUYez1QK+QMSgyIMYWdxnAAcuXtPI2IrIKXW/+nEpd762G69fZ+6ZgynKssYJ0lh46MLhnPNXQ6G4YlpZ1PubOry88UWwb48B5wPZ4yrToz7z+PJabv73​juDvR5fVUF2expXTyyM7rodlqDRZkgg4Jcj38zD2XitJhB7v3TSOqQfmRr1vS10Pp9/3Pd/t7TH/9L4SiPuzaGhmQE6PZ9bp/YlKuDw+FZzM5SdOgPJcW9S6/rJ0r/n1VcChw0n3vLGHn08pSuS1qzDSGFqkg82JtP2hJcF3LsFYHjDr2z09qjZ2I0YCJsCvgUcJ9zkkBk4tGJ​nUYGTEl2DkdWS7fTp7Wjxce/Ig7jlvmDFkemR9oLHDyxn3r+ejzZ1BXsZIiKxV1OK4bVuzvZPHltXwq+PLkgInRXPKBBhWFF1j+NlhRc​w9s5LhJWlx27NkXYv5dR1G3s5txiOxt4Bx2Cz4PAGA32Mk4TbLxHJhJBUXAQe+8EkjN55WEcU0sjPjkA​LW7ujiymmlCdF05qEFnDYpn/fXt3PhkdG1x2dX1eMxkg6bRTPIBKjIix7VfOK9WnUe+ICzn1lZz5UnRKZVVVFQWc7ByE9MBd//jwS0zMz/uHVOHZUd9f+rNrZzxgMbaOr0IRr+fRgpS40YSZfmgSAh23nYIph0fVfPJwFOXa4gOLnpXXclzB1dC9vR​GIwMrJd3n/Td3oRXy5tbzJpZvL5E2v7lzm5VrVwnA5YhoOrCyOpuld+twDEYG6DNT2JczATXTpGeSzCWv/wEOE4D7jxnMNedUh6zvo21PfzkzxvYUu82x/ZJabMvsu4bWwW/6V87+enkfIqy7f3RnAyEckR/z4JLh8dth8cX4JFldaze2qmCkznemtfnV3OrIphkFro9AVWo+kQQtAmzfwzMXrerm293dTK2MiNiPVee​UEpzl8/YOSNBXn9k1lAeWVZPljN66sNTHwRNuqUyEeOO27e7gzwZ9Fl8tyf6PMhNt4TzWqr4vgUjpSjQHxxQy+d​bO01gQoJk68XCqaN3fWWfo9TCdyUwdwswt1swhHggtuMu67K1dHn6NLxHQCP4DrfHR5o9MrOV59vZ1ew​FIyzuBijKssV9t2I62sMu8fhEf76nt827RfPaQOie6OZe2pqiCeYmUndYRNScOH6MXLAZwOE2Czw2axi​zjy6KWdcHGzo46y+bae4K3uPESAjsEM3uZnqXXMRtm82i0dzl57rnd/DUJVWJg1MY6XpcXjKcye9S4g/o/H1lI7ctrmFnc9AZ/YxMlCwRMA6X24fDEr3+7DQLjQauXaYA1K+Fjj3yuV6H0f/4sJ67zx0csZ4pB2QkQ08AKvNs3DGjPOozq7d2sW5XUBv5RAATUyOMttuKP3Qa+QBD+4rWttBUGlsK+d4​n2pglSX7vU646oZj6djd3vF4L8AsBob3Csz307o4QYrVZwoDJiREmLkNyJ3QTMWNcEdbLfIaxB3EnSs5​UfZsnah2/OrY4aBFgrD3iwikFiYbrC0WFL5R2F4agfZQrLG8nRwDZdF63y8D5FZAJPa8rsbZlSv0lGImLNwGHp9k0​Xrx8OLOnxu7jwo8amX7vRhxWjaIsK9lpFhQFJhsjC/02jKU12Ym0zSYV/GNVEx9tak847KvsydUDsKXelXSY+oVPmxhz4zfMWbDDBCYPRrj6OYxUkC6ZHPS4fTHrKs4OzsXBOWmWw​SLY5mNsE2IXQFgK8OzHTfgTSM9QL7fHx6qN7f0Kxz/xfjCK/KU4l9vN6dTR44363PjKoG/scIwFxgwpsEe9v6XTE85rA+X7DvluFW0qI5E6P9wQe5xuP7ucuaeVmZB8kQjXkUKrEvERmlsAaSrSmjs​TFMigzES2rdD1pNU5t6Cin94weiNQuam2hyEFkX3wN/ykmG63n0dWNOIL6Fx4RD7zzixN9N3XYixC/QJjT+nDElFF8zKs1LX7zMHahXEQwQKMJFJzdbS5T3epMEtVkmruUBnwHPFhjcpJs7D4yiqOHZ0ds47bX​69l7su1WDTY8+exIRGbjh4/H27q4pQHt2ZjLCOp6sNIUX01GrgNofvrp3ey9pYDYybD9Zp1wa87gdEfbGhnfEViGaVvrmvn9y/X8MXOnj7Nkfp6FFeAC8hp7PBQmhNdc5pQmYbbG+DKacVMq87mwJu+x+3TBwMnC9i5MU6XuaKmzWd9/ctWzjgoN2FGfmBpHY++18g3t42Os41xaGnr9rPo06Af7S2M3RhyZeLn7W5yk5duiTIPSpj56HZ0Y4cEA​M6ZHD3KvbUhuH1Nawr4fq+ptQoWDBc3Rtw6T7pvE6dPymXB7CFRraPbziwj06Fxw79r0I1M+zyMNB3Ty​lomAqob8IcfcHCIANM5yTh+C7Os1Lf7EAXKKczhxQjv+zBW5ld+tLmT46sjh3Q14I9nlfLHs0pJ5t1SD​jK1bYztOo5K5PnKfLtJpEPkMpvysOJcTBegvgC4rh9te0gc1h3AyJJsK29dXcWPhkaPXPoDOpc9vZsnV​7YEzZfwPd2z0zR+NCQIDGkS5bokkbZlOixBE3Hdbhd/ebeeq08oTsbntBEY/feVzVxxXGHc55Z+28Gdbxr5TrnpFno8xuJlxSK5XgTYmyLUmoGS2jYPY8ujg98TsypDfs8+Kp9H32tGa​LVcQG+3fD/hifcbOWNSYss7mjt93PlmHa09Aa5/cS8PX1CRMDj9fVUjne4Aormtkk+bmFB5X+/uZlwUUJ9xcA4LLq7k1lfrqGnzMePgXG4+LXp6x2dbu8yvezC2qxkI3z8i8zVTtJrHkLSReHW6vDrPf9b​KrmYPb/ymityMyGB+/cnF5KVbuGLhHvw60+ldYL1Jxuh10ab9NsVnkyET+5yx5U6uOr6QoYX2mJEFs+y9d3QwzP3sJ63MeXqvU​1A3XaTXd8BRL61tY+6pxaSqfPuHEXS4AtzxZgOvftVxkDjYjrrq+EJ+Mj7L2KEvVpTo6qGsr3Wzqc7Dp​noPd7zZAHAVsFAQXBet6TzgOqsGWWkWMh0WstJib2F6yNA0NtZ5aHcFEDNZA3jvd1VUD4q90NPjDfC7E​4v43YlFvaAQ4f60XiXULsDktGowvDj2eq15Z5bw6dYeNtW7WfZ9F7csruPcQ3IYlGdP1OfUCPD5jh5eW​tPC2T+KrY1MH5PJ9DGRfVsz5+/kX2vazT5YBZyaALY1uGF0ZsL8cOPJxTy1sgW3T6/ACKn/U8zEd4AT3v6mg11NLmPZSJwy73UDmADmv9/EuZNzOHpU/Lbous7Dy4P7m70moNEuc2EzUL1ifSfnHRp9zGZNyWPWlLyEhPQb68x965iYAr5fJONVYAJTpkNjVKmTM​eXOmHUePTKT9bVutjV4eGhZAzecXBx0H4SXy47Jpzjbwp/ebKA420ZAhyXfdo7E2DZlpTjjPeoBB0FH8uFVaVw6VRm8BDNZnTYYWx5k8MGK3f8Z8Msvd7n4cGMHU0d​mpAScxgwy3jWu3MGrXwX7weRhTqaPyYjb9sJMjSMPSOPIA4xwtxDJ1ETMrWbNXTr5rx/n88C5ZQmNy+qbjMlY0+pl5mN7WLWlpxQgEAjEHc90OxxYGmb+RnjGYQmo4GS/6Ihc5l9QhtNuifmOWUfkMOsIIyUq76oNtPUEuOaFGhZdGls7MFefC4C8C0y7/Nm9HDrMSWW+vV80rG8PiR6by3xqAD7f3s2coxI3wyrzLVw8JZf5H7QC/Fz8TXsx8qd2+3Uqn/igmdvOiC0gtzd6TA0MYHVAZ/Kcf+xm3S3Do5osQTT6soNN9R7TXbtEJlq3+F/XAae9tLadv/ysxKDTAMr2Rg/Lvg9GOlPB9+ZpOsEJunZuFaNKnXHrXHHtEM55bDfbm7zMPaXQIGWM/V3PPiiLsw8yjktcX+Om+pZO04dq+p1C1tYF0wc0jX6vy6kqDE6qEpnYbuBbCU9y9T9r8fn8KV1fp4WNg​tvbz7pCo3/qJvYWMPaTSrbOQblWCpTlKmt3dKes33arrtIOTdNx2pKjXUWeQa9/rm5n2XcdiTrEvRh5OHvqOvyccP9Odje7+9WH7U1BcDKXOvWIis+Hm5IfqxtPLjDzG0UoDQAACMpJREFU​sSoxduY0NbHXAJ5c2RKX/258ud7MWN8ppqZrU72Xua/Ux33/3UuCWtMyCZmbDuYOSW1wN3X5efyDloGvrXutwUxC3ZUivjcxILiNtNeXeD0ub4CmzuTndm56UMPKEUFr​AbSIC3+9voCxurgfV2mWhYze0zkKhJGbMBIGfWt3urns2dqE61uzrTv+fXqIRKejx9e/9kcvATDS7/tTr03RbtfucPV7bMMvix6yLzs1rcn3uzzXGiT8FYvq8Hii91HR0n0Y6xhvAfasr/Vw8O07eGVte1Lv7nb52N0SzH9poHcT/+8Avqvx8MnmrqTqHJxnZcrwNNWV6RPgWw749rb5eeWL9pj89s/Pg1vZPi3azt8AHljWwuqt0flxxfedrNoSdPi/LHzfI3OgW8DuRYC5ixvZ3uDuN+1f+7Kdpz9uD8mJSiHfm/u909aVeJ0uj274spJ8f26v+y1DBUb15AjzdAgjD2IAiK5E5AqkXtO0uxPgqY/aOXv+Xpo6vDHrefaTNn7x99q47/P1elZdAC1d/oFKkPB9u416u/391HB6K16zw5UyzcnSmx+nAdS2+5Kuozgr2DjPhjovdy9tSkRDDWAsFVojEcg99R1+znqshmkP7Oad7z​oTevc3e1ymU7xb6jMPP9ggdfPHt5oT7ktTh5cZj+1lxcYeNXLsEq1lm/ieePi91qh1XPdSo9mmrwTQNmFkrX/pC8Dsp+vwRtG8bloczLP8SNpvZj2bJ/o0YmxNvLPNFeCkh/awp8WTNM1Wburi50/VqovSu1PM9+ZR7zR3+ZLSnLo8Oq1d3qTen2EPyfqKuNmc34xQtbsCSWeDBgLGceQBHQbnW1lf51Xr7RZ​n9Uvy8pte/qqLFRt7mDMlm7MmZTC+3EGWU6OxM8BHW108+mEHS77vIdOh0dzpJc2uYbNoWC1GhrO6rEHZEKsHoKHDF​3t71+AWuEZ7/QGd0PXKIcfUmJKX2nZ/wvUaW+qCP2wr3i93u+Muy0i0hNfQ0OFnV7OHdLuGw2qMlab1PeYlEABfQMftE1PAKC8BP7v9rVaOGZFG​dZmdDIdRj+nYVPbOMpm3VcDkcoz9v6cv29DDsg09VOZZOWVcBkcdkMbECgfDi2xkOkMV9TU7gmHwDUpO​nE80jueAg9/4ppubX2vitlPzo46D16/zt1Ud3PJGCw2dwf7cIJGyLsW0ewM4+f1NLhZ81MYhQ5wUZ1nISbeQZtNY8n0Py3uBbYFE+sxEwQeBx7+​p8div/GcDF0zOIifdggb0eHWWbejh421uNaHU3MfMr/BUu4DdjcDdG+q95YfcuZuHZhYy80fxne1ev84Dy9u4+fVWXIbZuVqc2IemiO/VU1HaItUZkCirP2AeTw9un06XJ2AIb+D+Za1MHZFGfoaFbKeFdIexc63NYiQA26xhR/L4ja1yhBV9SjJm8ByuMsmu1VN0eTBOliiR9AKnJEhOkNBxUwrfZV4Pp6COdmljtrS5BLgwBfV20ffMrl​ReuwfwbB1wh/gFE7n/Dgl4mOetVUpI+jcYO0P0eUYDPd2u6cVZFr0026LnpWu6VQv+/1kJXWeIQzZfIsd/NZ8/crhTf/WyYn3LreW698EhetNdlfqK35Tqvzs+Rx+UY1Xf1ST8NV40d/N8uXxJOXkxgf4tx9iPrFD8pnmSS3Y7vSsFol2PC//kEXoEmOnLyZG+XiCRPB3Qq0tt+rxTc/UPri7V6/5UqXsfHKL7HhqiN9xZqb9/dak+96RcfXBeSD8/xTgU4kihRyr4fqLw+0jJG+xPPa0DaEOrpMRkQ3AH5OABjYMwNnd/sJ/CXD0K5xqJVtSKBDETGjMlm7sK46SLqeK4zFLqaZLM2g8lvGieWhp+vLJa7pH7jxTmjBv1DTPfzKOmTqX​3XDBzuUkZxrq6vyVZr3qM0z3iuHyC1B+bfYG081aJuNiJsO1puAJF73KF+4TZMzEW0Y5UIjfhWbN3iWa​wR7Qdk64ZkmhYgHE4xsEY+3iNwsjcjqYaPAfcT+8xUX6pL1eeuwjlNKBYigXGPurPiybWIO3zKsmeeZI​Ue62ATaFMBHUzpvdkDLZLvpWX3nP5KoCfCt9mhY2tSzSZx0RQtBG2BQi9B8hmiKAeh3HIQzJHQ3kFzJ8​WH5Zb+nGuaGQD4futAhDmqcv/I/2NNM/NZwP0nknXLXO+WsYrS1FMzPkb6dh408d1luTQNQIeLWzQskTC9EklT7CoJ7m0yNVF6CmsZng+U6RIlgy​GegyPl9BdDRwxJptpjpon8zqVOq1JEMs8WLGR3pXtusJM+TLxMhMcFxWc3NJGnd7jnq0DBCmzzd0yxrq​00wQn4tSvmvJt8mlTaOIg9BTmgNzTKpNWnfgmXc11mebhmmZ7nELzNEKPUe8S4dWgTGYUMMkVwXCETJI​RoqWZpUMiYp8JqGwVwdZO7/ow9URih0wac9mGUxF4ZhpDh1KHerimKVhzlWdVn635bKtiokY7mNOqaGTqoZoTJT8wP4x2rWIOrsFYrL​tRxsw8Rsnkz7wB8L15oKhHAeNC6a8jQp3qrpXhJzmrp3hbwhQKLQofqm1wAQEtwqDZFcnbn0QMFY377G​6nAIz5LltYB8IPkFT/p8WYZOaqZouC0loSE109Llr1OQ1kXPQwLQUlfyoVpxwEFD+BWreWYN8Dytj5FRNfXTkQPs6m4IhEVxR6​qceSq4waXp96CqzK8JqikeXIlamEms2JFX6CsJsIK9yV9tki8J06HibfRmqPVXlenXAqjSPxfCSAMsco​XYRBlvQ1/BSSaP10KTxlAq89RXxv9tURoa99ovsRrAXCUnHiCcqIcy/a+TVaCqR6332hknuXHsP3G+t9A2m/HqGuVIyLHseXTYrGuj/ti9ZfrZ90JQJDxqtPj6NlhAuycCHmUwA2MAC+i9c/LQYN9Rj0jtUOS5jJY4kCfP4wQRIIo3uq+b4/dcYbs6TakGrfx/6yvyQTYExkImtRPpMFzB/CuMQCgv8L/Uyq/C+FqENrkp8KkAAAAABJRU5ErkJggg== 

Yang terakhir...

dah dua aja dulu, pemenang pertama akan gue kasih 1000KPoint, thanks Keren
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RT: Challenge Part I ~ Encoding & Encrypting

YmRjNmQzZjdkOGQ0Y2Q0OGU1OTZhYWY1MzNlYWZiYWE5Mzk1ZTVkNw==
kampoeng man Keren

tinggal yang nomor dua nih belumHarapan
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RT: Challenge Part I ~ Encoding & Encrypting

bener man YmRjNmQzZjdkOGQ0Y2Q0OGU1OTZhYWY1MzNlYWZiYWE5Mzk1ZTVkNw== itu kampoeng
ayoo satu lagi hehehe
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RT: Challenge Part I ~ Encoding & Encrypting

Yang nomer dua kayanya

paman

Haha nebak aja Ketawa
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RT: Challenge Part I ~ Encoding & Encrypting

Nomor 1 = Kampoeng
Nomor 2 = Gambar Kampoeng
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RT: Challenge Part I ~ Encoding & Encrypting

(21-03-2014 01:13 PM)root Wrote: Yang nomer dua kayanya

paman

Haha nebak aja Ketawa

Salah Melet

(21-03-2014 04:01 PM)Noveriz Wrote: Nomor 1 = Kampoeng
Nomor 2 = Gambar Kampoeng

Bener gambar, tapi bukan gambar kampoeng Melet

Ayoo coba lagi kwkwkw,,,
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RT: Challenge Part I ~ Encoding & Encrypting

Yang Ke-2 Gambar Maho Maho
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RT: Challenge Part I ~ Encoding & Encrypting

Salah juga Palu aah gimna sih lo wkwkwkw
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RT: Challenge Part I ~ Encoding & Encrypting

[Image: ckBvXag.jpg]
Nih man, sector clear Keren
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RT: Challenge Part I ~ Encoding & Encrypting

Oke, selamat man ente dapet 500+ KP thanks

Sector clear, CLosed Keren
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Closed 
kampoeng