https://www.bungie.net/en/net/sim
We need to figure this out.
My Process Key: GXaWFA==
Nodes: Circle, Upside-down Triangle, Circle, Square, Diamond
Process Initialization Vector: 6TopsMU6k915ADO2dchKXQ==
Edit: [url=https://twitter.com/Hands0meDrag0n/status/780559838791081984?s=09]Codes are Matching...[/url]
Edit 2: Pic above is my info
Edit 3:
[quote]Anyone have an AES decryption code handy?
You've got a cipher-text. a key, and an initialization vector.
Have at it![/quote]
~Phantom13927
Edit 4:
[Rijndael-AES-CBC] is an encryption code (thanks thamatos)
Edit 5:
[quote]Here's how it goes guys, you have 2 keys, but they aren't for your text. You are the "original" and must collaborate with someone with the opposing key as you, using the conversion chart where circle points to square or triangle or diamond.
So if the image shows a circle pointing to a square, you need to give your text to the square, they run it with their keys then pass it to the next icon on the image (like triangle), do this 7 times and boom, you'll have text you can read.[/quote]~Timmie
English
#Destiny
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Node Diamond, diamond, square, diamond, circle Information Forwarding Protocol Original -> Processing Key I1do2Q== Processing Initialization Vector CKY6uFAmq183ouNpY9nL/w== Node sensors have detected unprocessed information [Rijndael-AES-CBC] 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 Local resources insufficient to process data. Increase resources by combining processing keys with 7 other nodes, per Forwarding Protocol.
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3 RepliesCould be you are thinking way too much? It's like the sleeper stimulate all over again. Not judging, but you may giving the puzzle way too much credit, don't want to see lots of people disappointed again.
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My code is DDSST originally and mutated it is TDSST. Any matches? Also there is a global Discord server for this: https://discordapp.com/channels/230292804931289088/230292804931289088
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Node: Upside-down Triangle, Square, Diamond, Diamond, Upside-down Triangle Information Forwarding Protocol Original: Diamond - Square - Circle - Upside-down Triangle Processing Key EYsn8Q== Processing Initialization Vector B7iNSf6+1IAC/IBuWI0P1A== [spoiler]6Giq6s45YOv5f6oKFHWkZHabNhvUqMOuwkWjAchzL9/xxU6n0yM4dE0WkBFbGgvJfegJ2OgX4xsOcDLmhTE8QTabvHvt9gKxh0LcbtXOgMVFwCQjXDc2Jq+/fJjiM14BtmdYff48kW1DTBM2/rt2Z89GLEhWvvs5YeBSgWuSNdKrMsuF0SIbbRqPGVtaaaNNYEbdYLlQzPbGVKxw2PyaMKGZri/1nJaid3P3C6GY5J7F9Nmccslyx0y7H+p6k/vA/c+EiF3rIDW8mmv1XW62BXcIUe3mQqDxQq1aXRcFT+pl77bgCJ5/hGBKOPcRWloFtDF2laD4TxFMoKe1Ic+lhxHrknoYY75PJozpj7CeLOtHIRlyM6gj4f2VxolVPA6Dgn/+zKcCmWaKMLFQNVI9X9zyQLhca/Dgxg/DdqJFHRjtkgk59x/648RpFgQgAs3ujU4S2aescYjt1WAWWZ8QwaOPhIME5REjdEhBs3JOmFQJW6g3AfRSqp1HQCmfCYfID9xwddVzpdmiD5d2mVOvTuucFddipEEReqjxom4tgbCmclldDojQjHpoJTojHkwC0+ZuFIGS0uutRaG2wvH5HgIjrWWfAu3WqDj1Zc0nZaNl+LZVe58TEVNia3pub7DaAi+6gLSEh/KL2kcDkM3T106ssX3TrwM9G59IhpVqFFaV9xt0cHbAZ8KOwBse2L4ezOoL+dhsmgP6RSMW/B9J/lnn5m+DhvDmLtJImzLvpx3IKptSkxtkLLTxxOM375UcXm3HymZM3YPkNA1rRXk0KjLn4n3gJGK6XnZkLyCWa0XOL0HKq+TnB6FBdEizOF9WgVWE+nKizVhM2wbHV1tjRIMfgOQ+x6ZrGTMDllPmlT5Pdi+2g2c515shDeysUXiawRm6CSLagrpUyow+ytpFW+6KcDYugeb4m0LO52tJF7jLru8ObVple4JA0QAN837a/BYBg6+a4CWNvilxW8KjKUY6g4+2l90iQIUVs2DrhvJkVdZWE8GHj+8MWyYzQSpBv7EOfJl8K70tLc6QOocnOKMHGGjvY3q8Zm1pipxb0jaPHhdg7s0bI57ATzQZBC+TJ6KLRShoJOOTg9yDMWEH+6Mufr2nrKZRSpu+12VETvNgLZItFDXmLs0lJmP4y2o6oUoEs4N0tIWZz9Wp0mNKW01mLcNtDlSvHgOE8ntuDJD+4Gi3gYD/WvqsM8d1CH1ZWHTcL7p/ewaJnTj7pOT5gWeaXBop5knj7h78/vht/4XbIwEP4xHotsYau8O4bTV5V2Vv4fZiyDtMu3ff/tKQxU0z2x6lpbJdLsoi2qdqNRUlEfM9gLR2nyFKlG2DVtli3+N34G71HU5rVLM7n3KCAwu8ai2S/WpPiul2PwbQgUj+YLLCzriMt5da2qlQdBXOyiIjc78DlCBMDsLGvES78RtJ8mSCzygN2JAk1uKLQ4bZrNZ5Lkvtnx/6JfBy+jaImbLO4kYr/Bp0flF10pO/tn83wMq/rvdv5RJbhBxl76lTDHp8YqZogmqxFBrMTdfbi4/sOLI2Y6DeyUIOo6AOFa/8FHMoVs585TxB6CbGqdzlpoqtC3Ue1B2Un60aMzhxhMSOygKzRTdkAbEu++Ad3pRs1McYjAlBE+Nrib17AmKHcZFueZ8moUg9xspvNiCiaScjEw15Sqkr+Y/5SUCsm3haQgfcCaPkaXhc1l+oLC0+6FOAiGY/cIGR5h6S0GTY37PecgZbaNfd++SarH/37istvxvPk9QyEIh/eyEUsUcvVx+l9bby19796ZhfvgpAOwdL/d95rDNsbSkp3Vlt18Ef3eEhVJnzkGrWG9u8sjY4ZNnKionjXbHAbk2XdEbj7EZo1N1Q/bo7nFRSzFSsG70Q0bo1VdEUenZ3JK5OrZob3a27uvpVaf6loOZaAv5dtht9yEE10jf5j23nTq4zvXWbUgxnpZlGYmuazLcJCfzwLu6dLOdw9h7/HhVslnBipASvzyLpuyXiSk5f1EEVl9yB+W0BRQo01+6J7Rvt05thzSXZboKneNBmPkW3VEhF3ppgC15up874xXj+vvF3QOTSRFuf4thtwnnePKblGXv6vA/I5UF0O6FgrqSTpAIqHQNWFCVtEhhPrPbKVFWBL2k2J51owDhIqn90CUIMAD+oekf9ZEQw6TPbyHWl3l2eWuTOMliwdS1aT9KyXpixCYF7IzCwIpj6zg2jcplc/UfQLSljN6JjWhXW/3WY+RRrgPvXpDG0Wb1afYWq0LmFL1ssmLumk2oXCp+8JDMMfKPcqHp4JfZvm0t3o70LjSKikfbIiGjlOCw+BCOwS0HdpZqkofDkl3rbuF3gXpFsTiOERSUOBxTUKoe1BsGOGp8DypW0gp5Yd8EbqjfvcsCXoEccUnyDDReu5+Sz5bw0LkrcaJISgA88IxQgWgoBS9j2kLTb4up9enerMMOquT/63hHsXae7/Njq6/yEaU/9ldnqPE2ynS7hP/Q1QnNPMSt9bCCW8/tNmLb7oCnfNiK8A878z3ntWMZIUq8EwxB+VYdMgY0lFuymX+1MQ3raopRZoi1tqi3R5Tz+ebJgJnKOQhU85VUeaRLkZnJf2CFMac2+0Wk1nRjB8vvaqb3wV3/tMt56ZPCEQ2CyHg7fZAmMcdYLwzHFsAKqF1iKV2Skj1beMGmWt0KhiFjxSrZ7nercanBKWCbdLZHFD3cJ9hmclkDk8okJHI+Q0GpyBYkUxNgmn5AKIINAisNjTK5ktuMe96biCkvSvxF/CCkmaqCXKiYCqr/Bt/Lp5rnSZIGrXgWQQHcmCWV2wiuLu+PFtwpX0+UF4Robh9NXMDjXo7Hw5jNUDvlDJ71PCkwCU8/CSZOXRIVHUrzYGqrygkh27qe5sfs5iRkjO8TBUg9RkQxmaHuYOFBvcVaTgIg7fFj4rE25WOLzTTGrHDTyKIpZtVY2XtnkXn8HnlZhkiOgsc5aeYKsEY5hQhfDJ9XyBS3sxFiBz4gmnQ0R/hXtFuASjEo4OVvXFzVRJIS0yiSbAGGkJ+2izbHZFxZVuqfgU/CdXwkSO4w1J4t0qQSFy/LQP6Kr/RkRBNC/BnVWKKgSGpvcC7uLA5Xh0YMLC0qj1vHaAJ8Bd+/aeMbkoopRxZOBs/OKWOG5farVkh4NKAZLO/MvMih2IEyXJjC/fkdTsspvpfjf30SvCKGX7Sd8hSQM2XBRa4xhjRdMiQ184iR19cf/BXYPVz1qY7BeE6iPMSugP/uOdKwIcsKHbf80M/N3iRQHYN34EvRO8crQVK1Omd/TDHqd+5tRDXqFPcuoiw4oBSwV8TydPrZudGy9YCgsuNjLKbBJtaSIEtm0CEt1lEY1hJk4x09v2MWTcs5jeaMbkUbadnGq+L7cidTnuocByHSExk5AcjkUOFmkQ/jaF4fn62HlRn6MhIrGkGo1YZ2BrxsoxNkbACBXFjdc5ccp6NvASoLmQB2VZ9JYNffUKo0moqvjflsm4896Ds6YqiQrgvEOBaiQWRpPkVntC8YFNXu4Nr5YdsJqyNmFY9FxYqd/lUyM60jfYi6DYCxj6+rVSMYAa0WWJhZAS/kohj1dikyoTr0SLeCru+CvF+58yVWZAcJ7dsgorUo4vTptYbPGbAT7o8b0JsHdQSkH0K2AiNjxVoYRwvvWzRK3aNXkQ8fWpE/sWRrRI1TXeZ8cf9JpXiaUWEecesA9oN4IyxAKh+p9wyS1diJQFs98qKcT+fI6ohyWIOACt3cL7Ha1hDkSa4d+49FTELtCeL31gn4WaGmLJo8z4aHpqLuJPYa3qgh/wic0R9ohoCee1AGXM/vHIMaQ/A8VhPXJ+4X4Wvps9ew0rOsT5IT5aHUWZq6zk2dDe19JcqxrNhY0WpoKxB/iQaJk7nbrANYsXESFo5yuKHpNQQLb5I248u8XOLUn0QQ5znjnqz4g7Nt5nZ/6gBqOsSLttZFOvesZkVogNE4mJ0hEA4Ywhe/iCn3BQ+d6I/2Mv+SlI9GoYnGDOJwguH+Hwsd7Je1bZWnvWg14/whjz4izyc6YUbrYXzv24of5ALHSUvydX2FFImBETB3NsKn5c0GVhTE4n79LD/xIjkkhtnQBJg/Aj9/ZHiyyFt3BPR09RpM03m2sPm5AfEc4Jdo2cNGxfWeVKH/dzKELHMFRNv/KdeFqB5Jqa6gv5O7bpbeau+8Xp04RJms8t1Gp4iOoWvhj6+b4dH9zoZ/JEB/Iy/V34LZJwzB5PXMWORCdEWbJ/hgZn5KJq6GJOCqw4rFvSuvYy1LlYCh+CcDvSMqgwy22/jaJo2GcRhyNrHW3Zzxu+lUgmqASiSgxebvLTXtSrA16abFw+UfoMQGife0e8A9pICt9cnM/Jjldr4OxfHGyHcW6LMdAbgMwZ6seVGPGyuFE8jXFRXzCAyjuE1e/bdVA2R3yWJZTi168q+iM0UxXE9YVRdpUavyBkVpsMJ5D2dCqyb8RbJgXeMeamvMwT9tbkaTusAKykLMZDTQAm9PPHeya33TAsw/DSwvXHuUeM87nQXd5rMcyq6bvQWBrWGmE6acdCjQVl7L29Hur45hQaPIYNoB1cd06vX89BwAYFIVzj7RWQkdJFp5VcaGXYmTaJerkupmZ4boAnJio9SzpSHdBwSz2mSX9VeTBgDFzMUqylvMkBFlKyPcGhUZaLetwnoXwg+W7XpvcKCLa8IpABlDera+ynAemqoz/hYmBcHWKaIL2Pnd6rm27VDct9Nu6oPqc211MDB3pHq2v95uOMhJSVQX7t3+1/k7A206L5OKbm+UyngBxdDRRP9qaoM2105bEzXvH3tcDo5Xsjv2GvkXradoruHflMH71Mo8nUXjO17hfK00fxAYGwE38/En9EnBlyZYxL16fRloAQDCuDV3Q+9i2PDLyc13kPmDVEzplk48cwR/v8PE563hrcNPXDgcvRNYhLw4ZgRaCD9Q3RTZGVx5iqdHUmlyKaZ2kzGAbI038c9aD1NFBXjhBlG2QcjS1mI8oprYHI1IpLvYEOMaO8dJytf6GKwBWKBdA8TlX8wgd99K0Agh7qSqaoxiejQutz/+bl5Zx7IyhBm+kWvus5IMBpmX0SiR89DkEddyuDioxVZv6v+9fzwCFYtLMZWVA+9ra8bVfCK6L94s3dB6NfLzK1iswHxhKU5901aRzUr0ADsVaOLkBcB1msDjaa3+QlQoPrwgOx6DqDzKElcRgeN9C0gF4XVF97pEkAiUyJY42QT+TXDEGeU3YFqM3eenX1CsbIX1DvRtkh/RHuKsIcsvsRsXdm4uxBMHuoYR75nmJ8sP1UwNz8z+zTOKKw7y9fNmXw144rBGKemeQuvsYG0Lwe3IIEUBlGj6qKFfEFGzSR3fDmpwUExtUGBAkeGUTrWsuWrHb7Age1tPf9urTDuukMEu98aYHV2yTvwix3v0LAZ/RivyrIB7qHyeksXbX2LitNR77wh11gY6cqQHjf9vi3/gZwWvAcKa7UVO9cT3CgeHi1nmb9mt3qEoVSR9Z+oVokuDD10DCCqbSemjvtFRJCA0j6/tRBV2ptNAHgTjcVX0NLTtKXJfCtiWk7KAYSvfEhqzNvAWxN3epuBh2YFIeRYfvk8t4gyhuKL4aXi+0MuyHUWJBiiMrh1cDxblOsqU2ATDEHwnhD2VzK/tiDc3LTSl+DH2RJxTyc2vXd9u6eNHI6D64/RWGqD+7rRWDS+1IaWq9xHUUvoHzyYbg5WcmzpbK3v2B23G1nHAW6bqIKd9vz8Jah6SNsw/HL/TIek5dJDNXocGYZSwWPXlMnE2Di4db3qn5RKb6QSQFfU/DU8XNt6BlFkqpt/Uvqi4pwPMGf/T3T4JMGWV5q9Pve21SvXZDt+f68M507U4lF1hIyAEef8ZREjVb4v77nFs4Ndinf3BZGnkDHpZ9nXvwgOJtqJBAYpBTFY1BGUdquNrzUgWWRY64qohr0Sw+ftftXRF7nm1gw66yGmh9EpQ+KRrCJCzXY7vggIN5y8k7aPvqlbPs/EVOu6EhJhGwaaUeqm+vn/vwxYeNRNuDZ72y/ZrMvj1nwDza06hSEQvFm3DWoomFR5+zgpsphcN8D+uTNf0pVOuQ8V0yPG3Efeg7DELSkREr5gWxZO5DPt6jGfe0Ky6tYiYqVGH7tXRQEIMfVvXB88WCi0UOSLrwN+uGu+yQE+MChi/9NoBuTjVDpYsPE0pNFntb0J6cwiipPTMsa1ApnorRVPWca64uqC0UhzNRTqeCaXPCcXmLghDKdjTfRFMh+craS+U0CNjeFb0MP8t9uRFrbQI1kqSEn7gN0pLYsep0ELEP0wq9Q1EEnj0N7E7dgd+2vH7Oo6ABSd7U4eQ/QpkUSh4l+ONBgITI3TzJ8QJQ3wGswHqYRixKmBkoi+wouAtZfg+UCecCXQSYThUXMFtWvQrUq0J0PR7Y2bJ1OwFr3hHNIp9QvEyXsa6MTpqwXXRdzBRbrga0WinEn2jhznK/GYvSPkTWciNUHdmJ0e01Iriu3RdKyYvCTbRC2Xxhc1stIwg4PXgSewzbVuet4kxqhUfPYoEdRYvYyCK5/WDey9XhhLRqvejbEK3MHpcQZSPJKF62J4j4qw/tknbwiDXWqTnZuyNtx7sMssV3n+ZrF9WLmRhX3KD57fvHfQg27LgjMAsytreomQ0lj/8rHQXnYK4LWQUJmLUCamYJRsGaFTcDAAIABXeck1D0kwfb4ro081NZ5A+kxWnC1Ug34K0NPZDH1mb5nzT3isvIvy1eApwyNScXr0iMIbAo/uSeBsoSGqO3csf0VXpz0CjIzJXpSxfZPdgl/F69usPb1Ka2UrXmJC0hkY8vpM/QQmdjn2YzOgxg/TIaPa2U1mnJNNGdryIc/IGL0W+zQJE/7uPsUXSSNJl2o/GlHgNTxiTOh86fdLXhUoglyIhewLihqhUYgz8wwZVdr2BYbIQYls4yzaTcLO7jijESeE8rgmcbfiZxrj0YBGKKq7sCoEydQCTg5I/sRLdpf1ihUiM3wLa5oOQKgWG+p5fFjAMtGaCcgANm97aE1FzXDqtpuGeL/hL2Y9J9Z85ws5mexpDh9BR5G2MhYoDuESD/l8vNNS5ZFAoeTTPFGFow1oZYlVZGE4+lzxc1icy4QcsQ89y8xkwkvQDZpVtmB9bciw80yxkVFUkp9MGnq6TFygH/cjKo2hJTyG8IAaEITAZvhldJyrIostMeYFEOUnSv3lMAsPSu+ClHNcMot4V6s4/UuYBa4SmqVfHZ9KaLB3PewV+aJqq6D15Yb+haVgfafavszvU+tP1yiGbDreCai7BN/8+s7eqVyQtLg62tezdx8Nh3/lyrGNC0yPDqUOk4w3dzA/ENj8c3ef6ZldzX7LqYMCXfMAAGBSNxRKtAxE2S/fbfYONqRojcvBDXlGSY7/QL4WNNY6ewfdxCF1vma9sSRW1+B1uRHIiCeBUXqWsK8Q7dSmVkZtJ2anjVsYktz3pRsT1ukpFfjGuzm4XFJB25w+pWDVphBa8YnTIWVMz7kT+XcrgxBLE0qFryxGN7Me5T1nKtTOEXaLM5XVCmuS/sMukcc0N6WyOXMwSkN5j0Tezab0l6NFHW6Ql9DKPViY3O8fgpS6HQtyG/WpceGqKE5CgDNyROUaJI0uq85L6ZAtApqA/SWk/cnmLsxd1A8kmnFgXs0UXzIroKc/qAeUnUPZS5cPYjnnt7FCwFxVunciQpJkKiOme7sziyD6gdGnYHTyY0E6G4fk3YV6DFe+zDMPCYdQ9aSE0SVLIQOyZpJ6+1jn1XEUDSGLKUUW9S8Dc0TmA18R7RnNYGNVU4Mnao8lBKtcRmjSiFR9EiplJWQAo9gtsDK/7ZXFzuaq+IIDrd9AgIcInuKBqB2QxtQ48iKNpYKtLI47EAvuxnpmt3N/0pCgO9WKCSogVLy+n4RMDiu6c4FJC3gCBaCPQqiL2qBpDBWfrHw/H/9+ol2XuoSogA9tVfw2Yx941fX2aKsP3cdptg1rAI58D6ovdkAy2HOP+cBYyyNijHDZ3kC83s1cobD708KjAy/9+y9LuOx8kBmA4xjtdzDYdjVZoOMLOw/qKz6A4VW+WqPaCf99dWHbSqRHBg9ijCzluDJ25LWPImnRUjTqTImwwI4Bjogsd+7H6hBZ1LJ5ruzZgCPxNrXE8xgRA65zXtsh2RBRgOWZC3tyoEcmebb/bKbsSqmQeVWwmfNH0TbkKSKEZ6GnPuuNGTK7exDt0UlosvSnOqbG56Vezx0SSO6Fbejv+kef3OAQjXdgfGuBPex/Bg0/7h4LSfJY8/T7R7wjZV5dXW1M7G38OEJnJPuFrZ3Ixp+erpF+BcXE+LWF/XXp0bz3P3M3WSxSSO8O4X8jLPSS4vgSWDvptZMxR3l/Z6fxRmKzNCgQ3OPdQ2kC9lz8LemcNugCYbLFVxpCQhHrMvA/KmApgrK+lg4VU3SEElq0IeVqjqL9HGZ/jZqnDx4WYKUGIID4nWvN42f8JJFEHFZoA= Local resources insufficient to process data. Increase resources by combining processing keys with 7 other nodes, per Forwarding Protocol. [/spoiler]
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Not sure if this is relevant but in the room where there is a giant grey diamond with 4 pathways, one leading to the final boss, there are sequences of numbers all the way around it towards the bottom the far walls. Ex: 101 201 301, 102 202 203, etc. [spoiler]plus you can actually see a monitor in diamond. [/spoiler]
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Im assuming that this may lead us to a raid specific exotic weapon just like the touch of malice.
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The codes or whatever are decoding into images, which can be found above. Link to Reddit page that is decrypting this stuff: https://www.reddit.com/r/DestinyTheGame/comments/54p2eh/message_decoded_for_the_new_arg/ Looks like the guys generated a tool we can use to extract these images (i aint no coding guy or nuffin)
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Bump for later
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5th chest vault of glass confirmed.
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mine is as follows (i think) node: sssdd Information Forwarding Protocol: Original -> 12345 ->54321 mutated: ddsss Processing Key: NyTBoA== Processing Initialization Vector: pEf6399dSJYVV3IzFUYI0g==
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Bump for later please
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Could all this be to release the "mites" ? The mites could be released after this is solved.
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And when you figure it out it'll be underwhelming. It would be so "meh" that you will say "wtf is this?"
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Bump for later please
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Edited by ESDecaf: 9/27/2016 2:40:25 PM1: what the hell are you talking about 2: where do I find this on my b.net profile 3: sounds complicated, got a tl:dr explanation? EDIT: never mind, I understand and posted to the google page posted by others
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1 ReplyIt's for the pocket infinity. Just my theory.
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Node DTDST next node should be STDST? Or TSDTS reversed? looking forward to seeing where this goes Information Forwarding Protocol Original -> 1of5 S>C>T>D>S Processing Key 5jxLdQ== Processing Initialization Vector YB+qzJHfWFEEV++p3E0EVA== Node sensors have detected unprocessed information [Rijndael-AES-CBC] wtJ6+SQCH5ha9rjOWn1wT9/Y1GtmrRAA6ALj9brCONmOsg/56wi0RBDrQwzDHOAKTJ/x5e/YS3CUnYxYEY2iEbBmtW4vzm7GelWkqXpeKfdXevKInCKTSVVyrJBC7ecTSH5mF8QRN3s/GYyZYNORyGkQh1IBZ3daE9wmihKyzH6Jg9KAaxP3ibsSBFZbfhP/3c55OrsvQEcMCY1aVcl8lWkTl86bFBEcIS0IF8Rp7EtZRrsg47910lBSIEJSgJRrZNODQJpMhw/pOJIX0IJz6hhnQL/sOo8DomNYa23xZcIDQcARC4GAybsGZ+1G2vMEhUsXm/BOTD39BQn62fv4JWl2uXrb702L5bNh90jhgRpJwd2g3ro3G2ksknoNPu9FWQ5+IPnxt71OiS/wOBAYw6282f3Jl6KRzXAhIocMs58LGUaUPuLloQTgMnbjoSm9sAkeCZcy85OpC0sGFjAohHfQOeFfnKTxomMCLHo0qdGoMzlMyhGKl6dJtX+ktWYhd3TxQFRRRbI0edR5zTe3GIS6mVgO+KTkOFJ88gjHykx8Y8XOMhZuqJ4S9O1XCRDmzSHrvKEGPbRHcH8yEN4cZVZUcoyYRQqGHglN8qHLZEVFgGvKBcDDYZjd0aUVGuNdsaLoM4R6E/GUYLR5RUYYrAZD6fe9EWTH9tCHGf2N/dxgH9JIXCxXnoMfGR8ZJbgysKn5uoiJLd7/+Ct+dEFWCXJScj9FDMzvkZnMtcQztaxHmngBvUh/RXZ5rxvMEaKZ0r6TxQoPD6DJrIiyMUjAF+J4onr1RgwycElAU+taxQtu5E7aUzo0c/yKuvIaVWwXYODpo1bCvFTpDRH30w0nYTS6qaUbCP1wCHJquqSkHkyzZ3b5ZBfIS0POeO5S6f+UNlmVmZQV0QXqJ5gQCpx6iTGBFP3o8tfffOBLlZWykFzPyQuIyqB1dT9tC04AiJ1lnqldM3IjFIoiGuou/4yplsfzU4BUDsHZ5Hx8vLRbf8H4pY91R56HypTJhAj4sEeNhA9YvSrixXr+z18VG2+Pj0xLAqHEL/i7h4MSwnHS04zU8XbqDfMVGGy7pcZwZm/oO+tfgoImWHNnYhbGqQde1ygpvT8rld3QuNgrzTRfnEBya8gcD5YA7sp/KKa9ExoDCcUk28UJRtXwK5nfMtpVTh+iw3dPcN2V2H7sVHn6YzeYEypsoAQVWW2FjZ0QrgxY+yLkGs15ILO6v4jqbEaycY4xioFamIyutQUBBnHbj9P3dV5uFxw6oJxuQUVU1I3BGkdm6X92iwUUunBDIOhKCoodGDQMSZn04aZL4DBbnaNw+CrHAZ8M+xKxdtbHB00cX4+O10vUW0z4yqk93h1uKBL6KRuS9+T7hGSi8L+qhrs4k/AMiGbP6Mo+sgkT72IID+0qt3RPCwc5u4WnzvgXUAR41W9kc8rl5Rnw/UlJpsVUhceCEYIY9PDJJQtVtst0OL1tzABgJlOsEw2CO2Pt9cn4JOdtdCYmroqa24gLyEl3eCXd4tTzawmoZmjj3MmMUfyDN3mSHTHZtoUjusHRZ1WmrWKYOFiTn5Io0inXIevQNMK4TG7OosEiUD7UV30/ByMj7CcBUxXbKPGsoKS9Bi+WC/6OlAsYGWfMPizqa2LS0z90WXlaNGROY20Tu/F+pH8db+mK8PwDKdcL0CMKBsoIwB4sP9A12/VosU1iCxhzmtBgiOf2JvFcmZzNU5FRqDocM2Q5EMpkPj0EbfEAD0rrqiMZITpyhcvkwvOSHNDCgVE3YIjpPx1zGiiirGjy0wh5QUfbn/4SMjPQz1+gYYlt4vyVlHeZoSbUpprjXJv/6g9Xz5OMAzNmzx/3E2SxMIvbJOInlSOcryrYogWrlkYKwuCSpZvJcIFwydIwsliemXt0UULlCdr9QPC6VrmpGyV9Rl8dJR7wJgjkuaUMUvFguhvXKZEVvwj+6E/PJo4RKRogUmJz4WdNeAOnsbuPsCAccENGSALPR3hn9Deb/bhNb6FvUNldXgKxSV+ferItX4i3h93g3mTkKkznc4kYPrft3BAyNh4+wEU33ise1lCO0VrqfuDWsCkVOKs0CLvPzqU8lBmupFNXGYRJrWKxouR6MGv0hHfz7O6z2AFFYhZYomPRz+yKNnRaPEZHkiIFie7m8IIsiLb08drfouA8/kFnknfzdjsDxz/FacXEjnxvX5LH3RJIry80fXHdEK5sAck8LbGpHzymAIFhxlhz10mW7RcsPYLYiNhV3VytjuaDdt+p1yvTmwK8h+sqJDDb2N2GWLiSahkjYBZHB8QW9x1l0l4m72SNrLTlqO7aryqS5PVGBLxn9pDA6fGy/nt+HF436JEHfpF4M1l/cE/qqUEUAJ4EQ3rLBgfWiySdUPxXvmyqUQ+tph8o9LG+ltBNPeApzr/zRkp1ETQa4zKsqsuRyfEuACQ9FiBLNyvIBxu335cYusuQuUQuZyIRgxd+rvRBSwje0PhnkSyyA8ATpO5kM5gpTgOyPpubGvsgBVfbbk7lfewZIQ/H0TKIns7cQ06v3MQFns578aZFsOa+MMsuFYghhuW3uGuuyzT42mcrZjZODg7fUAEE2R5HrJXk71o59xwNGr+IUsWXupuwg3jTIiA9ZmWRuLymDjeY8ZwenKcTGWTgO/sOWtK0JZwPMDrPf+rwo11y1D2LS3kMOT4s9DFT+F3S/81ld/Q/DKDaBYMI9Bdp8i3D6sAcAZUnRGIj9zu6L7fGtpmUbN8fEvlYNI90KNWDrsXfW4vKR6ju8An66sBiPBmNhe3eJ5lh8w01GWujylbNgLuCF92SKdsaocraNtvRNf8CCnjWkdgflJwiR13nkeTW/WG+8NbESwXH/tiB0O/vheiG+8Dz49yA8fcJ3Fubdal3cHUglWlAB5zpLSfkexaRG05tM0NCFR9NY1NiQdGYE0wt+UpwI0Rtqj7MPnfzxcY5WIPJ/Ec0NYDWP1TQ0/C82O0ef5JqXg4VBeXQ1CHnX1WDRCYUU1pFw5CDmsvyuh45y7V8y1s1tpvB0bMH1d4pNJEFHBPnbdfjvaMXmqK/n9YdRbHPE4EdZ5WyVUS67MWqPDQYoh9dMIj36yjNLTEaxodu4E9KtnAOPH+Tpfrgsb/I5aL0zjUQv8/XSpioxSmL0Ok9yycZ2PkjiR7/TIU4VsUfOtk71qXfoFpwe+WQvgdmgPMFHWJfWVhUrZzi8cguz7nqWi/WsXdP9L2tBSFGD5waOmcWbDpFFFAp6Fu7BnPsStnUu7H7BdPZFagqsTDDf7BeIg1HTAFEoukYRm6n4nSUqI3t04O/Du8qjbMOtztum4SPA/SbDAkADLQGSgwI+s7CAB4VD/RWcALgM1kTSDadPW32eXxgwTEX2ux0EDIoTok+kVZLzN1qW/O0y+wfD+ugLPMbcT1Jo852bxksYJI7QK7feN3yPzbX9Ig73JH8izsBY4Xctk4MFoqzEdvqB46i+6VBFAAiJwoBcmriMY1LClMNQYSPEx7CzpRpGNIMm0m0jjHhT5S8WxeNmywxoz4brimjkApoCN3OkErtDWZi/LrMmIo+ElrOwdI7eR8a0erv6l9obcJz55wXimJHDUVpPHoYHTk7r0BRdSepeWVepatvPBaehMEPiRg4nWcFTSv1BgkxiO48hSybg2Ac1nL8GJ7chpMZU62XZ9niBfT5phDsixl80uL7lgsYyudAZHsU1S73b+tGXkZsHua3Nz0lbeMwDgB84K3sLad30OsGgA4OdMDo3LBy0AOZ899UY+Ov+RuKVE4kRR3lUGLwyN4WTL0NL8Bu0+MiS2lJZg31o428kMlxrhkWqIinXIdG92wXLwTjhZQFQNbofk9rSIuxcGswAId4olFTz+WzKKH+YwRes77LIhpOeshb68PZmJpJbK/gcz/XEiyEo2GRQYC8Ywo8Cs7Xa758UVt9aafYwcIxyhou7MGKLbP3D6XINXtbVLkOhQPpqQMFKlZLg65u49UmpTcm0hH3KW6jwt+7gBRjso/NSi55AMT6QQAst0JFNiswaBeMVnVrHhv2IjSGuxl5ZNteikb4E/9Ck7JiLWh/tLBdy+xRY7T6emRJdbkcPE/nV/YH574HfDtofSMGcQXPCcxGclOX3LhfkiTIZUMfAbXTb5htKF+Hbm3+oc66quCEln9BGa3QWIIDYzfESNIv4hIS4Ko1NIpExGQiNODolJ1ChvMb01DYNEZ89hSPBwUYsOQByx91HSaw2JEwtW3CYv5+8+/8iVTiP2CxbusHWuskHp0L3EUO7ZhjI4MVGkabFWdVcsZYMm32FAy22PtR1CSq7bBTX2aG2VrPAV4fmYw9eLoEDwZq2MGeEjBghIqFH0Y59/jIBgUPM1QsP3hKlaRh6C/mfVUbH8nmGQ+l1qJSO3eM7DgdrX92wF0Uj/65SrDNev5FlVysnuav8gbBeeeI0DqAhOHMC28HdOr9ctYmT2ZIkqe7iaU0MBg+pc50yS30m6HV1rnXu63gN3MG17gTftEcV5DmcrWQsHGOqgFuk9Osi4JmRBnUpTvx0wKGSFgOvrz/prLvY1gos8y2vqXwCqb2aIHNeWvtJ29ZEx+az12r2ruhvXklwBxudFVrs5hSTA2G+Sg1nIxgdYH9rC+iPA/wewYD6Mw76kYn7Qu82C31r/MS9zfqGAVQoethJ5hybckhM87vK5rdJkvCErdLKOl7KCFzl/lE5AGI7ANvwOltk94tLtxByK/StTsVGOqwRabpqwFMtOgUFbnCFDmF1Ys+NNP4laNFtHFnt9cFgMjsjIn8d99zSaXWbEWP920a8/sDeRv0mBOxlXIumxinSEEwMqSKSnsD28099vTv5V5R5Z1Had/KBEJAaEHkZ8OQJaiByJssqYhcm7EOK9i3zXKZqQp3UOJrSlpTOFF6YUYhl9bzyweiJ4oXQxj0DGYT5vogjflvuDycPpw+Wm62TAv026DkGme5KWZXxACpEGuVyhzXE10cuRUeGh2VMuT7m/yChuwdE892gRxzVrNySgGIjjX3zT+ADoaZbbowd7m3lEdex7L/LDeshg57SWWt2hPr/t20K9Tvl+dWPuC0QyD+UWFBHcSA3piIvPfn90u81eLlDF4pw7cTe4YexKcVw2eoFkKsxXPxMPxhmHNOKs2I89kp7fdovhs4URoP9ANJT05nXQhZphlq5Irw/gpmMTaI99suBFmCx6CB26nqJ+ofc9/fecsEeW27CTTERjnFU6kVrt9i3HErGt94X7FT46FO1QTGAWvG9HWFBGjYEu+P12LAoM5er/P7NQjIYBQ4fwc+qT2WqYf2wIPHx/hk/d/bQG0mJSLx6UGbhVNGsLEA42UZH5jflI4QvYQEmIpIZ3j0F/C5SjPINbjEKcdtbEJ2D8tQB8oYydxVxu5dPl3DcIwHsrzMVIXeUn9oLXBKC2QdTr+tFoKFrcY75uJNcSzUprsMJd17+LJSsS5pik7/LPA/aFW1XlXIjnI34zE869eN6N5Ksd2/Cv0JGcSYOrbdJxb9FBRoslA1z2wnkbq+ksW/0RBBQJfApq4v6RwhC7zu2x/VqhApJ2EbrVxTwiX96ROCAhI6mLE0mjaENkMECjO6L0qS4so0TrcK95G884ygwNLo/Wdj9gQpxk09c4gsr77/6F/M9+By1azwN1XQ4PFEClExyAYKoHH1Fw1qvF3d0FhtQFDiUSAerm5XMMil1Hae5/E/Z6LYHr/9ZjmA8p2AVVuSZeB87B5YsPAtvJuBTdz5bzBT25SCqQBpSnztbqV6BXc0pSVGZzcJpobYmIWnIH7zMi1hIScyZ61WzUT4MizlJOTpR7vtSsD9kaZJOLGFQkwEQXWld0vndx5vhHx4A4QJoZSZ3OW8jTaITGbfFSjmGeZ5P7rMANLUoPluN1PxuMLcLbqYXFGZo4BrRP17SbgbhMlfmQfRGbQeyudLwRUQESv4WGysrhQ7Z8qRhx0V42Smy4dz5zSWzC5iL7+p5GqwfVKXcxcHbpmLvuePyEhY8KBnzR5ncqfnzTFJSTi0sZmBPQlP7u09NwHRMdP0ZEjBkGBSKgegSB66eZ7SH5w0sy8a0QBCmOmmEbeiRayj12YP/bYnAIMnWdDksJokk7362yADNQAcr5e5jXjw0agG8BS6SX1jqbPPdmTdsvxs6mWzozUyV6fZkGaE8KHFyuWze0pX1LWMKB2LGdPXeU6HsHkA+NATi3crgmV9UUddtEqiHHf1W/GJBSUQRPbI+dT8n35gPexnaL1/QX/ZeqIDcWiZ3VGlyhOsH2/QfwIIZ3uTUrwmKCDo5c2VP6SgBTgfoUppkgdRES1ZTR49pqnCZZA8Pw30811Zu+ADEZd+2xJ84Qz5NxkA6D6aOQoUz2e2ZIjB3Dnah/YDDGh1C+Ld6Hs8pdhaaYbVyax3B+iP7nLBm6EgybAH68BNzd3OZYJGO+R4NCWH8jkbf2lGU8zOCeEX+D3kfeDCkANBzyUhkUB5QMnMv8oHvEXmXdE0IANmubWA5GNFpWi8sxiNqRXEeugyr2pIfDebjE2Wd7uJ0yObqsbkpNzIRHR7joaPL/shOMCYlQaHLiDWxiF4obxpBUFRyqS9BMofk1ptKR7GJSoyY5N0V4NbSsirvYzKWJkCjHJODmlzVdG3/2pZUUDmJOAR1NrZbE8oGpTMfPLVHFJn1Yfc4BOKjVip10BsS4v3dFGu2N4cQMu09mKfc3RoPrsERc1EEbZlcMnfUvjzoGCsMNVAqoy6tkzX5ENcTyy0IT6q267clAFHidBlzvCog4qKX6yGKY53VDIRsHimF8kRqcbzcJud6v2LxgSabrnKijeiPFKslcoOd3QN08Qt/f1JCL0qxsQUOXH3TEEx5OCF2aIZ8U6iFa9p7aDKp6+GRd+l0QEkJsPsWCHmL3pXEIhS0/TV5UT39pC0ffeoVClUoCl8VtiOoaReSwYa6lgeqG8bldvMrRzZU2qvdruKiBHqLl/jy/hm3VdNiReWfXHJsV0B0P8CbezFWhEbd2uud6xMmrh6IP47o4i9kIoU2Pd/il2ba+8VWfbpAkkg2krRXHUf4FCMjTISYzt7dIOEuNmWo8dfAozUEvsBJGK2HpkDwmZhBdS2OP8jFCrrtu3hyWNCFj2ytCJ6f8eTOY6OFixphV8ur/JEezNRWn6S7CcBATeOKMm05PB0AJWdCTZdA0dbvbZbp4WnIHU5G3pZ8gWGkYTGdT5BUIPhUscWySPLWJl/R7YH22kpoSpUh3qrl1jWN6j1QPYSoKyN+gXHf9YoY6FiSRRo4vLgsWWBuxoDkqiMeQIugmAq5/D9YAXyeUNx63TYQbuGf9TDJvxgKeiPZRPTnz8mmSqT4n+7fk59SnnzfyMwNChNhYjz6EaGZKGUV5GFt9KqF8oCGLFmogrxR8uKPgX0rbwcyBXKRjlO21jjpmUdgWzWM0aPEzFYvAXtZBWi/IpcMKC4oilQTUg7ZJpl9xzDrj3bTFn3xMhqhtpWDmBC0q9ZCS0y/Mjkjx/zFQ+/ZwGNAECHNNgay5qu4ymPKbX6XAkK5g3eXnRfHieO1TvTkV7kaSix0/Rf2XE0PfDOPtZv/TZhAyk75Vb2oT0cyhVN2H7apmxr7j0tTg4pTjBAc5VmzGIWxJo99begQMmK3LEDhEe2a4u7FJ7Ay6USxwr2jDbuynlZUdW48K8wIXIQTZTMz96xrHX3QHcoDwlh1C0PI1VWzxqddy03sHIv+UxV4B4y+X9mPjzmOPZIcKkAI7ivFOuDEGUqffVacQr2PxnSyVWjtwsVQt8TwgHWSB/zP1xQpVaWm6WPqUJk1yYatd3WSGtaKDBKfGrySCIaTl5v47aJH0lE5Cy2ifjPrhITKTcOoDIPhC5SNfZY8OMVdRznmP7sKm1kLdgwkbi+b7/9zzIFg7cIn1pVaAkHt/9whK4qybgfGfJKTC2YE+bylL1vjqGXq/WY00FsFThpe/fo8Tc6huuzmZgFOgYYUmq8t9TXdp3W4yMGMPS17TijZeNfzfmNblXFogSzci9xpgvO+nBJStRhSxUyB0EAg5a18F4brws7rvWf6Zpbu0Scs5yylrhX7zhkJ9oNXr01RPA/UY6SY9BwiaKlO4oOaPOJIdZvfRSBolLuRq6rcuuM42CohKvvXLMTux4ll+prrLFZbAY0I14FDuVlrQTW6YR24wQ/0jZngUjUeyl2BhX7iMmuKvTVF+2/PZevknuzl1nc2+YeL1o2Lds3GVquGt1UeQJaSVbPGHsGTs/hOygfi0LVAw0ham9/bwhrKSepbBbcH6X3rViDR4d5XR4nw1Ne2wW3VNRD53C9E+PxQf/Tr+RptgX178EmmceSxDgrXprzST3y3b+bbB2n3U03MczcgQFU3bqOI30v/31yvKsSgESgP7JSgSyx4Bz0b11Gywqhh2SyV+wVA44lbNAVNrqIJBxHf5KsvrzjTUHMPMD7atFomgMN8ysv9b63GNOPmHkbtxgOECK/NX4Kfx9ViGUdtBpVa/6DYvhkwPFIB8RF8WF0JteSI/Uk7RHOIQP0btHZyojPH9KlqpKxu8dUwBxCkRhtioIi0xNRSdCx/c7ney10dljl+fhNqAvE3VJMZKLy1y2YPO7RqtnteyJxEm29En/Cr3ylWCIfAXOQc1QsknVb920zDS3lxgJQYScQZ+VhQSpBmz33ofjY18lJuz39cyJ3W5gyL8zFkImK/ll3b0WGDBsl+fnnGR+Ek1E2S4mw83bh0gBmhgMX7nMYJTl0zGP9W4mtMgGY1fdshgdQaOLWakz8Vs28QILaMmzZiHKYHEUsBL98fRjofMjDp554Xs1ISTkTGWkJ6seQG/RP9ZnO10+QIevASY9FZ8ZGT/0hMHIxzCG1tYe3SL/NTsP8jLsi/jKSLUbiP95ifdJTh757WQ0N9nfpWRVSdrK6NL+M9DQg6pdMLTE7AsUBsooVRT1LtgNDtgFC+4wHsh2iPCWh1ugMFEUABDcatMq8JdBv5i3JiChVbx99ch9ibjuDcYVqH1P9X33OkUwdAA8AbXqHdAPTklO7sAF3vIhmWyL2VydVvbpNDgiDPThBA/9jLnGh6KHKRq3F
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bump me for later pls
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Edited by Penhalion Wolfe: 9/27/2016 2:17:45 PMFor all those saying you are never going to figure it out here's part of the solution to keep you sane. 1. Each chain you have decrypts into a jpg file that is part of a larger image. 2. There are only a small finite (someone estimated 1024) set of images. 3, Groups of images overlay one another to form a composite image. 4. The images are indexed based on the patterns at the sides so that you can effectively match them like a jigsaw. Now wake me when you're done. Edit: And it turns out my chain was indeed a weird "to you -> to me -> to you -> to me" chain. though I suspect chains like mine should in fact not be like that and so some of the nodes may in fact have errors
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Node TTDCC Information Forwarding Protocol Original -> Processing Key kMSwRg== Processing Initialization Vector fHZQG2xUd3QpNMjoiFD14A== Node sensors have detected unprocessed information [Rijndael-AES-CBC]
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Node Circle Circle Square Diamond Circle Information Forwarding Protocol Original -> Square(Right) Circle(Down) Triangle(Left) Diamond(Up) Processing Key mISCuQ== Processing Initialization Vector PVn88GRj0XExOjOAU/JROg==
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7 RepliesIf anyone needs me I'll be playing crash bandicoot on my ps2 until this blows over.
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1 ReplyAny progress people?
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Edited by TwoTim213: 9/27/2016 1:40:11 PMNode TCDST Information Forwarding Protocol Original -> Processing Key 12345-54321 r10g8w== Processing Initialization Vector ldWbC26q/hDhWhJu/pw1WA==
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ok can anyone please explain to me why the forums are full of these Cypher things. what is it????
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Uhm... I'm confused....