1. Reklam


    1. joysro
      ledas
      jungler
      keasro
      zeus
      karantina

Silkroad Oyuna Giriş İmage Code Yazan Programın Code'ları


  1. Band'Eros

    Band'Eros Öğretiyorum rank8

    Kayıt:
    18 Ocak 2009
    Mesajlar:
    933
    Beğenilen Mesajlar:
    0
    Ödül Puanları:
    0
    Kod:
    // ==UserScript==
    // @name           Silkroad AUTO CAPTCHA
    // @version        1.0.0
    // @namespace      N/A
    // @description    Auto-fills the captcha and auto-starts
    // ==/UserScript==
    
    function Neuron()
      {
        this.activation = 0;
        this.bias = -1;
        this.threshold = 0;
        this.weights = [];
      }
    
    Neuron.prototype.feed = function(inputs)
      {
        this.activation = 0;
        for (var i in inputs)
          {
            this.activation += inputs[i] * this.weights[i];
          }
        this.activation += this.bias*this.threshold;
      }
    
    Neuron.prototype.output = function()
      {
        e = 2.71828183;
        return 1/(1+Math.pow(e,-this.activation));
      }
    
    function NeuralNet()
      {
        this.h_layer = [];
        this.o_layer = [];
      }
    
    NeuralNet.prototype.create_layer = function(weights)
      {
        var layer = [];
    
        for (var i in weights)
          {
            var neuron = new Neuron;
            neuron.threshold = weights[i][0];
            neuron.weights = weights[i][1];
    
            layer.push(neuron);
          }
    
        return layer;
      }
    
    NeuralNet.prototype.feed = function(inputs)
      {
        var h_outputs = [];
        
        for (var i in this.h_layer)
          {
            this.h_layer[i].feed(inputs);
            h_outputs.push(this.h_layer[i].output());
          }
    
        for (var i in this.o_layer)
          {
            this.o_layer[i].feed(h_outputs);
          }
      }
    
    NeuralNet.prototype.output = function()
      {
        var output = [];
    
        for (var i in this.o_layer)
          {
            output.push(this.o_layer[i].output());
          }
    
        return output;
      }
    
    NeuralNet.prototype.test = function(inputs)
      {
        this.feed(inputs);
        return this.output();
      }
    
    function get_code(image)
      {
        var canvas = unsafeWindow.document.createElement("canvas");
        canvas.width = image.width;
        canvas.height = image.height;
        canvas.getContext("2d").drawImage(image, 0, 0);
    
        var cropped_canvas = unsafeWindow.document.createElement("canvas");
        cropped_canvas.width = 20;
        cropped_canvas.height = 25;
        
        var image_data = [canvas.getContext("2d").getImageData(0, 0, image.width, image.height),
                          canvas.getContext("2d").getImageData(0, 0, image.width, image.height),
                          canvas.getContext("2d").getImageData(0, 0, image.width, image.height)]
    
        convert_grey(image_data[0]);
        convert_grey(image_data[1]);
        convert_grey(image_data[2]);
        
        if (window.location.href.match('megaupload') != null)
          {
            filter(image_data[0], 105);
            filter(image_data[1], 120);
            filter(image_data[2], 135);
          }
        if (window.location.href.match('megarotic') != null)
          {
            filter(image_data[0], 103);
            filter(image_data[1], 134);
            filter(image_data[2], 163);
          }
    
        clean_noise(image_data[0]);
        clean_noise(image_data[1]);
        clean_noise(image_data[2]);
    
        var code = '';
        for (var i in image_data)
          {
            canvas.getContext("2d").putImageData(image_data[i], 0, 0, 0, 0, image_data[i].width, image_data[i].height);
            cropped_canvas.getContext("2d").fillRect(0, 0, 20, 25);
            var edges = find_edges(image_data[i]);
            cropped_canvas.getContext("2d").drawImage(canvas, edges[0], edges[1], edges[2]-edges[0], edges[3]-edges[1],
                                                  0, 0, edges[2]-edges[0], edges[3]-edges[1]);
    
            image_data[i] = cropped_canvas.getContext("2d").getImageData(0, 0, cropped_canvas.width, cropped_canvas.height);
    
            code += guess_letter(check_receptors(image_data[i]));
          }
    
        return code;
      }
    
    function guess_letter(receptors)
      {
        var output_map = ['a', 'b', 'c', 'd', 'e',
                          'f', 'g', 'h', 'i', 'j',
                          'k', 'l', 'm', 'n', 'o',
                          'p', 'q', 'r', 's', 't',
                          'u', 'v', 'w', 'x', 'y',
                          'z'];
    
        var net = create_net();
        var output = net.test(receptors);
    
        var highest = 0;
        for (var i in output)
          {
            if (output[i] > output[highest])
                highest = i;
          }
    
        return output_map[highest]
      }
    
    function check_receptors(image_data)
      {
        var receptors = [[0, 1], [0, 9], [0, 11], [0, 15],
                         [0, 18], [1, 0], [1, 17], [3, 0],
                         [3, 7], [3, 11], [3, 13], [3, 14],
                         [3, 18], [4, 4], [4, 5], [4, 7],
                         [4, 8], [4, 12], [5, 5], [5, 11],
                         [5, 17], [6, 0], [6, 8], [7, 0],
                         [7, 4], [7, 5], [7, 6], [7, 16],
                         [7, 19], [8, 0], [8, 15], [8, 20],
                         [8, 22], [9, 5], [9, 6], [9, 8],
                         [9, 11], [9, 12], [9, 14], [9, 18],
                         [10, 0], [10, 6], [10, 7], [10, 8],
                         [10, 9], [10, 11], [10, 15], [10, 16],
                         [12, 8], [12, 11], [12, 13], [12, 14],
                         [13, 1], [13, 10], [14, 0], [14, 5],
                         [14, 8], [15, 3], [15, 13], [15, 15],
                         [15, 17], [16, 1], [18, 3], [18, 4]];
    
        var states = [];
    
        for (var i in receptors)
          {
            x = receptors[i][0];
            y = receptors[i][1];
            i = x*4+y*4*image_data.width;
    
            if (image_data.data[i] == 255)
              {
                states.push(1);
              }
            else
              {
                states.push(0);
              }
          }
    
        return states;
      }
    
    function find_edges(image_data)
      {
        var clean_columns = 0;
        var im_left = image_data.width;
        var im_top = image_data.height;
        var im_right = 0;
        var im_bottom = 0;
    
        for (var x = 0; x < image_data.width; x++)
          {
            var white_pixels = 0;
            for (var y = 0; y < image_data.height; y++)
              {
                i = x*4+y*4*image_data.width;
    
                if (image_data.data[i] == 255)
                  {
                    white_pixels = 1;
    
                    if (x < im_left)
                        im_left = x;
                    if (y < im_top)
                        im_top = y;
                    if (x > im_right)
                        im_right = x;
                    if (y > im_bottom)
                        im_bottom = y;
                  }
              }
    
            if (white_pixels == 0)
              {
                clean_columns += 1;
              }
            else
              {
                clean_columns = 0;
              }
    
            if (clean_columns > 2)
              {
                if (im_right-im_left < 2)
                  {
                    im_left = image_data.width;
                    im_top = image_data.height;
                    im_right = 0;
                    im_bottom = 0;
                  }
                else
                  {
                    break;
                  }
              }
          }
    
        return [im_left, im_top, im_right, im_bottom];
      }
    
    function clean_noise(image_data)
      {
        for (var x = 0; x < image_data.width; x++)
          {
            for (var y = 1; y < image_data.height-1; y++)
              {
                var i = x*4+y*4*image_data.width;
                var above = x*4+(y-1)*4*image_data.width;
                var below = x*4+(y+1)*4*image_data.width;
    
                if (image_data.data[i] == 255 &&
                    image_data.data[above] == 0 &&
                    image_data.data[below] == 0)
                  {
                    image_data.data[i] = 0;
                    image_data.data[i+1] = 0;
                    image_data.data[i+2] = 0;
                  }
              }
          }
      }
    
    function filter(image_data, colour)
      {
        for (var x = 0; x < image_data.width; x++)
          {
            for (var y = 0; y < image_data.height; y++)
              {
                var i = x*4+y*4*image_data.width;
    
                if (image_data.data[i] == colour)
                  {
                    image_data.data[i] = 255;
                    image_data.data[i+1] = 255;
                    image_data.data[i+2] = 255;
                  }
                else
                  {
                    image_data.data[i] = 0;
                    image_data.data[i+1] = 0;
                    image_data.data[i+2] = 0;
                  }
              }
          }
      }
    
    function convert_grey(image_data)
      {
        for (var x = 0; x < image_data.width; x++)
          {
            for (var y = 0; y < image_data.height; y++)
              {
                var i = x*4+y*4*image_data.width;
    
                var luma = Math.floor(image_data.data[i] * 299/1000 +
                       image_data.data[i+1] * 587/1000 +
                       image_data.data[i+2] * 114/1000);
    
                image_data.data[i] = luma;
                image_data.data[i+1] = luma;
                image_data.data[i+2] = luma;
                image_data.data[i+3] = 255;
    
              }
          }
      }
    
    function create_net()
      {
        //pre-calculated weights
        var h_weights = [[-1.1310486345974551, [-0.54897279963655443, -0.010673370771987623, -0.73708970134131335, 0.31802559324724716, -1.8998571155002779, -1.0233933234185795, 0.15906334818661744, -0.18386409007728216, -0.12787446012854434, -0.94331619849480774, 0.18679049370422335, -0.22101237954408789, -0.47369570363989316, -0.28599761841089438, 0.274642031173636, 1.0385894459956855, 0.62483769290253932, -0.19275295593936378, 0.14715662697947621, 0.22327846874892149, 1.2297902722506204, 0.81293904772071657, 0.4994389773436621, 0.20934044225537715, 0.81269216482887452, 0.2154553492295179, 0.70212261746710758, -0.62934612164993575, 0.63675158108607843, 1.4214285983202299, -0.81776807177949229, 0.42044439610508949, 0.28007177260243948, -0.23766985114456621, 0.91184361472194564, -0.021553759313594156, -0.54607123988816153, -0.011055505239957441, -0.24382911505040797, 0.11993437831677227, -0.48187266612864293, 0.82845522988645426, 0.64092850930519751, -1.1279646893412698, -1.3292673494986142, -1.5858950135606715, 0.85492440137222492, 0.24709961392101704, -0.50608332290053415, -0.64754021418153995, 0.90374298295076938, 0.64550879920501603, -0.30450291216348002, 0.5186513640840954, 0.754524754883518, 0.38025756185083792, 0.88469634847531931, 0.45177325919820965, -1.1271387367750882, -0.70219633995005726, -1.0225813854054007, 0.20032048043685685, -0.20251325577931933, 0.071059550968295748]],
                  [-0.27881876624846497, [-0.50734089929615978, 0.80638924700600967, 0.52461788661488984, -0.92107093969702147, 0.6201761368962776, -0.83762122015359697, -0.68895400944331187, 1.049400268090098, -0.83107297192175855, -0.58492304490874314, -0.051508303834608062, -0.21659543089108915, 0.7207530950742651, -0.29386767951147641, 0.17032891832660188, 0.017149659680415721, -1.6065915640363075, -0.76419904192706456, 0.40922293759233719, 0.23451043415296252, 0.46708699271988258, -0.0042441925065025742, -0.27305661296774519, 0.79729886474207223, 0.7659011955119448, -0.50758975086047842, 0.21058222845429636, 0.33936069184877471, -0.54754932880451901, -0.52206367646993224, 1.2048225011563454, -1.105773993810454, -0.86650395617413045, 0.76193892132871033, 0.34635094734997024, -0.26527159853274362, 0.35850809649702553, 0.81449593839167544, -0.10854401011294654, -0.52560655359041608, 0.034399434925834291, 1.0411742271060032, -0.042080611887754582, 1.2932399550373996, -0.076868622859124311, -0.33302542764856735, -0.19068880283863807, -0.26738757087805115, -0.12868329281405017, -0.23544888868707958, -1.0803673971569541, -1.8053391806924062, 0.22311290827290561, 0.74795422554265001, -0.25824192235871579, 0.36928159980588809, -0.62387899053635187, 0.57428985089263029, 0.36338438728252515, 0.93644465463580306, -0.41400193409435077, 0.47453740250028664, 0.017059659116045889, -0.11289750498190726]],
                  [-0.16795186580788141, [-0.50009052334875137, 0.22926564766554722, -0.83377712830818829, 0.5662921574742833, -1.0266439399569458, 0.20423923840243965, -0.34997727000997636, 0.010563795022877166, 0.41443009040487128, -0.38846673714189661, -0.14126176774105864, 0.72201233811385135, 0.95095117733461298, 0.24947333842449626, -1.0758036610459822, 0.53935711148225551, -0.67160265048541623, 1.1725002473118213, 0.30832115554202938, 0.27726641522443185, 1.046367487702347, 0.071975991296640299, 0.024113971563780149, -1.3482126817879099, -0.86851682426985677, 0.98202259294052452, 0.96250518096386162, -0.036256390291919557, -0.095451587421990378, -1.0929456078488893, 0.59634233201658771, 0.55967119736951709, 0.25473546024075649, 1.1433601078072311, 0.20601746836902901, -0.59685972361469863, 0.072504205805958705, -0.24404571151914478, 0.56423574437865243, 0.62604881721761396, -0.38693052857652294, 0.54065760745232905, 0.44391773971166254, 1.2526714756990909, -0.52521945813215276, -0.80696448776081142, -0.23662160119556661, 0.76533528962802344, -0.14294570021394276, 0.23109479489323143, 0.2744292024091099, -0.69935416016961727, -0.19122192519776088, 0.73711154054894712, 0.83293260655492884, -1.096506974929417, -0.56678344094827193, -1.1095396827471717, -0.52792620292596415, -0.59207425783520184, -0.69574954771681696, 0.51049839645358253, -0.92895788821751446, 0.71859800768037108]],
                  [0.69839898682671564, [0.21541220838130221, -0.96750089364226199, -0.81281495372847978, 0.38672445011777412, -1.1300409839155967, 0.76452367901647467, -1.1226164490040575, 0.4064944788622194, -0.52435547010003647, -0.28038569176131084, 0.79077981734057123, -1.0938158032948944, 0.38440369648473821, -0.31158738367238653, 0.84752487204114635, 0.046743113051128105, 0.83804217242628287, -0.12188112007509551, 1.4243136174318587, 0.046970876058310303, -0.61563752769094682, -0.043719391627866068, 0.47662079368099503, 0.8734465947324449, 1.0631262624396904, 0.86616035649363499, 0.90882703487940852, 0.56027956425323255, -0.38918588393285097, -0.21149956137166617, 0.88666893706510996, -0.086935103909188752, -0.3253521784065756, 0.08409764666094563, -0.51255434468899574, -0.4960044393151396, -0.7818858085491871, 0.24418882395220151, 0.17266007379152035, -0.81768857202507994, -0.095099784581358052, -0.37430325439629447, -0.42161698159377081, -0.077549052664817597, -0.064504326258497544, -0.86695369976974868, -0.98170510334603389, -0.63893197960691905, -0.26230003544536878, 0.92466640448166426, 0.27905614290111291, 0.89453942832251487, -0.43788510354785215, -0.09886863917301722, 0.94035134558652211, -0.50294308396802123, -0.52882402608664303, 0.76605677858747789, 1.249191403179684, 1.1512459248494993, 0.23712705086281025, 1.0796831845444776, -0.094334267916735062, 1.1826307569953738]],
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                  [-0.12231877877507831, [1.6101672826075519, 1.749817419054821, 0.46329305119681835, -0.63712672287999772, -1.6155620296392605, -0.81100905134785395, 0.28237476509823334, -0.56825427838830722, -0.91902789996744827, -0.12931079702238368, 0.26970708450198067, 1.1342015078418022, 2.182954673301845, -0.51333709959289064, -0.30214062066855368, -0.06812295789882987, -1.6757612723140451, 0.75973201672545021, -1.6435515301095176, -0.1331372665012793, -1.291652581932653, 0.55190064248701853, -0.14155029860402693, -0.49192143232628721, -0.88333835151878393, -1.5754802420234388, -1.2064982886591833, 1.123808940481861, -1.0162596985536432, -0.82175492156880625, -0.028896154484363303, -0.69750712055246744]],
                  [0.29121425412552138, [0.98309154243750119, -1.0084841836097587, 0.42023563914436218, 1.7885733474601464, -0.23212783005927434, 0.67437500545385243, -0.081012297966646191, 0.59467521613585506, -0.32832067488254779, -0.033063875259684218, -0.18778372454884393, -1.7344736717133657, 1.6999337769259972, -0.56656250651057283, -0.9948635026905519, -1.3447820924636515, -1.3829941765563207, -2.0972940294649467, 0.74367218461666407, -0.68545451730807327, 0.24781839659384911, 0.34125283471738521, 0.51955518061854022, -1.6354306830175374, 0.060249630508881331, -0.35636884429293886, -1.4166701588593149, 0.4419921149464433, -1.337232074533357, -1.5342419238551728, 0.30562258307572243, -0.83172287631951369]],
                  [1.3620455897157224, [0.039927157413820455, 1.1657950752484352, 0.67893139335419928, -0.32682114891812114, -0.52820355980302613, -0.025762736458331159, -2.9812333887218134, 0.56357010486952597, -1.3740367370004964, -0.76461347542254243, 0.14769423451843261, -1.0971301699816272, -1.4376763793481011, 0.2307639151758111, -0.56072185115323858, -0.95953091204049301, -0.54506909633398004, -1.0505702213322607, -1.157050881047307, -0.051873721489151037, 1.1182948449074914, 0.19709604327872465, 0.014934686394411109, 0.92365890947556006, 0.6393419687793126, 0.33089777686451627, -0.73163863005996865, -0.020269008467067841, 0.23078528247316121, -0.8240000390184905, 0.87691648701159153, 0.77982583118068771]]];
    
        var net = new NeuralNet;
        net.h_layer = net.create_layer(h_weights);
        net.o_layer = net.create_layer(o_weights);
    
        return net;
      }
    
    function toggle_autostart(e)
      {
        if (GM_getValue('autostart', false))
          {
            GM_setValue('autostart', false);
            autostart = false;
            e.target.firstChild.nodeValue = 'Toggle auto-start (currently off)';
          }
        else
          {
            GM_setValue('autostart', true);
            autostart = true;
            e.target.firstChild.nodeValue = 'Toggle auto-start (currently on)';
          }
      }
    
    function start()
      {
        if (document.getElementById('dlcounterimg') != null)
          {
            var div = document.createElement('div');
            var link = document.createElement('a');
    
            if (autostart)
                var text = document.createTextNode('Toggle auto-start (currently on)');
            else
                var text = document.createTextNode('Toggle auto-start (currently off)');
    
            link.appendChild(text);
            link.setAttribute('href', '#');
    
            link.addEventListener('click', toggle_autostart, false);
    
            offset = document.getElementById('dlcounterimg').style.top;
            offset = Number(offset.slice(0, offset.length-2))+10;
            
            div.appendChild(link);
            div.style.position = 'absolute';
            div.style.left = '35px';
            div.style.top = offset + 'px';
    
            document.getElementById('dlcounterimg').parentNode.appendChild(div);
          }
        else
          {
            
            if (window.location.href.match('megaupload') != null)
              {
                var mt = document.getElementById('middle_top');
                var image = mt.firstChild.nextSibling.firstChild.nextSibling;
                var form = document.getElementById('captchafrm');
              }
            if (window.location.href.match('megarotic') != null)
              {
                var content = document.getElementById('content');
                var image = content.childNodes[7].firstChild.nextSibling.firstChild.nextSibling;
                var form = document.forms[1];
              }
            
            textbox = document.getElementById('imgstr');
            
            textbox.style.fontWeight = 'normal';
            textbox.style.fontSize = '8pt';
            textbox.value = 'working...';
            
            textbox.value = get_code(image);
            
            form.submit(); 
          }
      }
    
    function update(e)
      {
        if (e.target.tagName == 'A')
          {
            if (autostart)
              {
                window.location.href = e.target.href;
              }
          }
      }
    
    var autostart = GM_getValue('autostart', false);
    window.addEventListener('load', start, false);
    document.addEventListener('DOMNodeInserted', update, false);
    Ama Bu Code'lari Nereye Yazıcagımı Bilmiyorum Biri Anlatabilir Yada Program Yapmayı Bilen Biri Yapabilirmi?
     
  2. Band'Eros

    Band'Eros Öğretiyorum rank8

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    18 Ocak 2009
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    up bilenler bi yardım jasonn
     
  3. emreblt

    emreblt Öğreniyorum rank8

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    26 Mart 2007
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    autoit olabilir mi acaba?
    ben bi deniim :)
     
  4. emreblt

    emreblt Öğreniyorum rank8

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    autoit diil..
     
  5. Band'Eros

    Band'Eros Öğretiyorum rank8

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    18 Ocak 2009
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    ya image code yazan program bu silkroad capthca
     
  6. emreblt

    emreblt Öğreniyorum rank8

    Kayıt:
    26 Mart 2007
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    bu silkroad icin diilmis mega upload icinmis..