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先贴拿flag脚本1
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38#!/usr/env python
import itertools as itr
import hashlib
from zio import *
import sys
from os import urandom
def md5Encode(str):
m = hashlib.md5()
m.update(str)
return m.hexdigest()
words="ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz123456789"
key = itr.product(words,repeat=3)
def pwd(a,b):
for i in key:
str="".join(i)+a
md5=md5Encode(str);
if md5[:4]==b:
return "".join(i)
io = zio(('202.112.51.176',9999))
c= io.read_until("key+\"")
a=io.read_until("==")[:10]
b=io.read_until("key:")[:4]
pwd=pwd(a,b)
token="JUlIxRMaGBLIACfwVqkyHcyhMLn6zgFs"
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lObTW3g2ENn70eEdUXbZqc4M05Pj2WZ17rDMGr0jFmU8Sys6ho/Ntt/9Fs/wiqdT+tlbWmrprfUfx67hDB/xdbv5z+37P8AjFzZN1tjn2OL3vO5z3auJP5znFGGMyI00XiNanRZz7LbHW2uL3vMue7uUSuo6FSZWOTqY1JRdB8ewVyGMRGq2U+gWDQPl3SIn6WiZxJHh5BBee8ffqlPIAFoF9X/1uAnRNKIXO4Jn46pjxMD7l1JDRtEQo68SQik6/RH3JifIAfBMlHuuBRku43IlNN1h3V2NbYwztJg/wBZv5rlGXdtFHa4+JTDHTYfVdfk6Fnq0lvqbQSJ9pDh/wBFWcfPsrAAdp3adQf7P0Vkh7mCCR8Eha6fa0qhLlsomZYxw32kso+BegF1Fw99TSe+2Wn/AKLlJ/oUUuebnVVtGrnkEaf1mtc938j6b1g/bLm6V/S4nlUs+2yyxpteXugySdOfzR9FTTlPHhM5jikNBZ7roYyZVfCHr+nPyMrHbkYzWWMfI3FzoBGm19Q2+7+RvVbNb1+h8tyWBrtQ302NHwHtsVLomc7p5DHOLKrI3Oby10fzkf8AnxdDZ1Bl7PTyALBH842Af637r/7Klw5oGEeI1Ktdeq2R1NfiHmMi/r1QLsi68MPLg87f86s7WqmSbXb3uL3+LzP/AEjK6a1ltPuqdurdw4fkWZkYdFkuY0VWd4+gf6zP8E7+Uz9H/wBWp4zjGVS0B2lvFIyDtR8HOFbuYPxRGVkdjrx2UxSWna8Q4chGYyO0yr8YdbWSmwDD3MHt5KTa3d+PEaj8EUNJ8k4DvgO0JxAYTNEKWnSYUX4hJ0OqM4WbRqdrdA068691AHWHTrwo5VsYqEjuC//X4MNPkEi3uTKJtcRoNE21w7arq6Ln8SPYOSTom2j4omx/gU2x3c/xQMfNN+KOI8AokF3cnyRdo+PxTGe+g8BoEODwSCi2gc/cNSU7RJA2nZPuDTBj873GUQV9z7R28VA1e4uBIBEQdf8AyKXBfRcJDuxA2iBqfzj2/sqtlt2vYO+3+KvBu3WNTwFVymH1q/Ma/eoOex1y0j2Mf+kvxy9X2ttpkS72kaT4/crJvsqrq9Mgg7pbM8bYiPofnIArluhP0lNtYHPPgrMeQxcRlXpI1gdYH+swmQBtsVdSuZqGls8yZB+KK7qNzh7aaj/Kg/k3BVgwc/cloAT5BPjyWCGo4q/d4p8P+LxLDkJXfZZYZf24EAAfBrUOywtH0oJ8v9qd74Gmqp2uLiZ4hSTyCAqP0TCPEdWwMouEboI7Af3lFre8mQ7Xz/2LL3FrvirTM2vHaHPYbHPEtYCAImJc4h3/AFKg+8xjEyyGgPqvnhv5Rboiw/nD+5Ispd4g+Szn9ct4bjVgeDi93/UurQ/23kdqaR8nn8tiiPxXlhoeM/4Cwcpl8B9X/9Dh4nn/AGpxPbTyGifQI+FjV5dzqnZOPh7WOs9XLe5jDtLf0bHV13udc7d7K9i601AWTs5osmg1yO8felE6d/BTcCyx1ctJY4tLmEOaYO3cyz6Nlf7j2/TTh3YCB5cqQUQg2N0RaZAIMdyNU4bHHKJymkePwCPDHzVxI9p+fiU7a/ziNBx5ogDdTHCfQxKeIhXEUYZOvJPhqq2dXsuoPi06fAq924j4Kp1DV1BPPu/76qvxGvuuTw4T/wA+K7FImf0l+TbLWgDYJA8ede6UiJScO8+cqBcAZ8efirXFoPJj3U54HCgbdZI04KVjmx3QHPkzqQOFFLIV8Y2k9QjTQ+BVawk6+Kd9pJiNfL8iE5xPOpVbJkB6s0IVqwc4JZRk0nsagPmC5v8ABM7XjhNeZqr8Wlw++HLP5sk4yf3ZCTPHdFr3KiXSU5cYUFQy5BoInzZA/wD/2ThCSU0EIQAAAAAAVQAAAAEBAAAADwBBAGQAbwBiAGUAIABQAGgAbwB0AG8AcwBoAG8AcAAAABMAQQBkAG8AYgBlACAAUABoAG8AdABvAHMAaABvAHAAIABDAFMANQAAAAEAOEJJTQQGAAAAAAAHAAIAAAABAQD/4Q0/aHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wLwA8P3hwYWNrZXQgYmVnaW49Iu+7vyIgaWQ9Ilc1TTBNcENlaGlIenJlU3pOVGN6a2M5ZCI/PiA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJBZG9iZSBYTVAgQ29yZSA1LjAtYzA2MCA2MS4xMzQ3NzcsIDIwMTAvMDIvMTItMTc6MzI6MDAgICAgICAgICI+IDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+IDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiIHhtbG5zOmNycz0iaHR0cDovL25zLmFkb2JlLmNvbS9jYW1lcmEtcmF3LXNldHRpbmdzLzEuMC8iIHhtbG5zOnBob3Rvc2hvcD0iaHR0cDovL25zLmFkb2JlLmNvbS9waG90b3Nob3AvMS4wLyIgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIiB4bWxuczpkYz0iaHR0cDovL3B1cmwub3JnL2RjL2VsZW1lbnRzLzEuMS8iIHhtbG5zOnhtcE1NPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvbW0vIiB4bWxuczpzdEV2dD0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL3NUeXBlL1Jlc291cmNlRXZlbnQjIiBjcnM6QWxyZWFkeUFwcGxpZWQ9IlRydWUiIHBob3Rvc2hvcDpDb2xvck1vZGU9IjMiIHBob3Rvc2hvcDpJQ0NQcm9maWxlPSJzUkdCIElFQzYxOTY2LTIuMSIgeG1wOkNyZWF0ZURhdGU9IjIwMTctMDQtMTZUMTM6Mjc6MzArMDg6MDAiIHhtcDpNb2RpZnlEYXRlPSIyMDE3LTA0LTE2VDE1OjI1OjI0KzA4OjAwIiB4bXA6TWV0YWRhdGFEYXRlPSIyMDE3LTA0LTE2VDE1OjI1OjI0KzA4OjAwIiBkYzpmb3JtYXQ9ImltYWdlL2pwZWciIHhtcE1NOkluc3RhbmNlSUQ9InhtcC5paWQ6ODM3NzM2NjU3NTIyRTcxMUIxM0I4NEE5NjYyNTA0MkEiIHhtcE1NOkRvY3VtZW50SUQ9InhtcC5kaWQ6ODM3NzM2NjU3NTIyRTcxMUIxM0I4NEE5NjYyNTA0MkEiIHhtcE1NOk9yaWdpbmFsRG9jdW1lbnRJRD0ieG1wLmRpZDo4Mzc3MzY2NTc1MjJFNzExQjEzQjg0QTk2NjI1MDQyQSI+IDx4bXBNTTpIaXN0b3J5PiA8cmRmOlNlcT4gPHJkZjpsaSBzdEV2dDphY3Rpb249InNhdmVkIiBzdEV2dDppbnN0YW5jZUlEPSJ4bXAuaWlkOjgzNzczNjY1NzUyMkU3MTFCMTNCODRBOTY2MjUwNDJBIiBzdEV2dDp3aGVuPSIyMDE3LTA0LTE2VDE1OjI1OjI0KzA4OjAwIiBzdEV2dDpzb2Z0d2FyZUFnZW50PSJBZG9iZSBQaG90b3Nob3AgQ1M1IFdpbmRvd3MiIHN0RXZ0OmNoYW5nZWQ9Ii8iLz4gPC9yZGY6U2VxPiA8L3htcE1NOkhpc3Rvcnk+IDwvcmRmOkRlc2NyaXB0aW9uPiA8L3JkZjpSREY+IDwveDp4bXBtZXRhPiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgI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qSD1G2WeuSPzv5cfyx5kvdJ3MET8rWT+aB/igb/AID91/rxvhBDBLcSLDDG0kjsFREBZmJ+yFVftNlkJiUYyDd1UgCxAAqcN9G8ta3r8hj0qykuQpo8iCkaHb+8lb90v2vs8+f+RnS/Kn5VwWqrf+ZwJZiA0emKfhU/a/0mRf7z/jEn7v8A34750BXjt4o7e3RYbeFQsUUQCoo/ljjX4FXG5T+lrlMReVaZ+UV8xD6zexWq13igBmk/4JuESt/weSbT/wAuvJ+nkPLHPqThgwW4k4x18GSFUVl/yXySyzsx+IknYbf8RXBVtZXHqxLNE0YmI9PkKVFeLN/w3/DZKWOEReSTX4kpHZ5P+bdjpmn6lpNrp9rBaH9HrLNFbxiNQZJWZeSr+1xVs5y5r8K/ZGTD8z9UGpedNWdH5RQSiziApRVtlEfH/kb6mQ0AnDpwfDiG5coBPt44oKqKd+3tjVUAcj27eOVWprmxiOGLE7r+nhjOpyxv/t44JyICitcgbkULKV2G+LIvH3OWqBQAPpOPG3TMjDg4fVNjKXQLgSo9srmfH3xpJOwPTNXL/EFgsKf/1eK9BldBlVr2y86guG1T3zEZeYnHdQtB41B3B6jGkBa+HY5Zr3GUDSobdT+GQkO5mGq+OY5Rqhpt7e+Y1oK4xktONKYP0PU5dF1az1SGpezmS44juIzydfi/nj5rgDr3zBqMCQD4++OSIlGQTE0+vCUkCzQnkjASRHxVhyX/AIVsQkjAJI3HbCH8t9U/TPkvTmdg09kpsZiDUgwHjHy/yngaN/8AZZKShIHiNv8AmnMHHMhJCCCh0aNxyRhxIptTAq8oQ0VeUR2Mbkkf82/7DDBzHCpklYKg6k5Gr7XkWRktU5b/AGzsPuzJw4pZTUY359Ew0+TJ9ESfPp81W9tvTjaeMkxA1ZTuyf638y/5f/IzCk6nbwMyg86jfj/wp/2DYGnu7i4ctLITXoo6fKmINpl0yiaOMiFiFLHYBm6D/Zfs/wCV8ObLFiEI1nkPubp6AY4+JkmPMDZHXOrQ39pLYXdpHc2sy8Zo5viVx+y1P2ZE/YdP3n+XnNdY8o2ti/rwI0lrIaK1SWUn9hqeP8/7WdHtdJDFTNJtSpCjt0PXD6x8v2UrenKrOF3fkQQSCKbD/PlmLrMWm4JCBljlzEo878+9EjpJ4jiBlCXMThdg+d/UEg8sS3PlvRYtOtCsVS0s1ACTJKfiq3stEX/IwZca7qLpQyCnyGSaXy9pgVQFYk7n4jgK40LTwlQjf8EcGHNowABjJoAWYi/i509VoRjEI4ieEAWYizXUli41S9BrzH3DBUGt6glKSD6QMHHRbLl9luv8xwRFodkzceLDtXlmVPNpq3h/sQ4uPUaQS3x/7EMR84WNv5oks7+/h5XNqpgdovgMkTGqK9By/dP9n4vhV3ww8o+WNA0c/XrSJW1FhQuzF/RB7RB/2v53yQXPltgpNo/MGvwNsaHwOR799Yykmsc6E0psR8sphiwZYGOH0+Xd7w5WTTabUXkwZOE1uO4/1fNl0kTceUrCJSP2tzT/ACVXAQ9GR54YlMlI+SORRgy/FxVV/nXC+31lrlRFdN+8Jrz/AJvnhtpAP1hpjuetaZVPDPFGRn+x0+TGYT4JD9qvp1gYCLqdazneJCPsf5Tf5X/EMFiXne+vKw4Qb1PQCIeo3/DYOZAOUjGopzyK+ab86P5R1fU6lZWgNtakdfWuT6Kt/sPUzCnPi4pHmy4a4QHzhqV3JqF/cX8o4vcyyTsPAyuZv+ZmBVUk+Ay2NWNPs9B8v2cxPhtm0xgCMUlsmuw6DKAJzZagsKDYZdZpDg29KVxVQadqnwylVaEDc/rx34Zdij1kxkV42G9aZi+wxhavU42ppSmWTnewY8LYNd8ujeGPWMqKHrsT7Y7gvhg4J0ZdVven/9biXEoaEZftjw2wVzt2PcYx1KjkDUHv2zp5Cju4nN3L78afbG133xwrX+3DaacRvv0yiNun044bkfPOp6B+X+j655TsL5QwuplcyXCPRg6yFWRl+w3Djx+NMiZBBNCy8/8ALNrpt9rlhZau7x2M86RzNEQGAf4V4s32ecjRq7/sJyfOxeYPye8v38Sny/PJpl5Hs0F07Twv/wA9Gb1Y2/1H4f5GQK9/La8t5WWK6Vl7CRCCf8nkrcc6v5V1G8utJig1RlfULQCCeRTX1Av93L/rOv8Aef5avlGbBPi8UemKRlidhJ4d5h8j+ZPLJLajaEW/a7hPqwn/AJ6L9n/ZomRsgg756zM/NCj0dSKEHev+T/13nPPNn5X6dqiyXmgIlneirSWw2gk2/l/492/yk/cf78wxyEbTZCQKB/IvV6XGp6DI396i3sC0/ai/czfF/wAYmizrd9ewafGZZjUnZEHVs83eUrnUfKvm61uJYWiezm9O9hk+AiOQcJUb5KVkX9n7D/Yzr17dz31wZZTyZtlUdAPAZHBp45s09/QKvv3c/Q6Uaicrl6cdcQB9W/Jff6lcag5Mh4xj7MY6D+uVb6LdXVJX/dREAhmG5+Qw80TQUUie+Xk53jiPQe7YeXiLwUjYDb/gsycmtjjPhYABXXp8HJ1Wsxwh4OmAFfxdP83v96QWujWlswcD1GB+0++3ywwa3SVGjkWqSLxceIb/AJu+PFUUE0PXEJrplBWAUan2iMxpznkluST5uonklI3kkZHzSUW0lvO0ElSVYb06q32W/wBnkl0yHjbgt9s7nepAX4VwoeR2HxOWJ8TvTC25lliZZLdzHIrV5qaH/Vb+ZcsnjyZo8PF6mmMhE2zCQVYnAU42/hhRb67fcFMgWWmzKwof9i2Dk1S0uVAcPATtUjktf+JLlPg5MZ3iz4oy5KJWpoB16YMiQRjxJ65Qt+kiMsi9im5/4HBAX0hyb7fZfD/m7DPJewQINSPwXjUhj19hhHqNtHfAhhQjZHHUYZTuWBPWvTAjig/AZbhuJEgaKTMgiUTRDDbq2ltXKOOv2WHQ4eaDqogcQ3X2Dssnh88GS2sd0fSkWq1r8v5aYU3Wmy2Lb/FE32H/AIHNicmPPDw8m0vxydhpZY9UfDyipdP+Os5k5SQBIzUy0RT/AK32v+FXOT/nhrSRrpvliA/DEv125A6Vesduv/A+rL/wGTny9qvpXMVtdv8AuQCImb9ktsfuGef/ADrrZ8weZdS1SoaOadhBQ7ejH+7h/wCSaK//AD0zUjBKGoEZ/THcHva9Tp54J8EuXQ94Y/0+eYY9I3kYKikljQACtT/Kv8zf5OTjQfyu1/Vo1uLsLpls/R7kEykfzLAvxf8ABun+pmb4kY85OKdmDAdzj/iXanH/AFjT/iWdysvyq8qWoBvHuL8/th39FR/sIeH/ABPJTYeWfLVi4Njo9pG42VzCGb/gm+PK5arexFFg7PmUDj3X/gh/zVjyCDRgRsD0p1+znpfzJqXl3y5pT6jqlrbylDxtrT0o6yTU5Ki/D/k85H/YTPOWrandaxfz6lekPc3TmSQqKLVvsqi/sqiqqRr/ACKuXafUyy8XFHhjFSEHSv34om3+t+rGqKA9fn4YoqivsM2OOPVrkabAp028cU38B9+YAkbbgHLqPHvmTtfC13vb/9fipU5twKj6R2OO7VONPfOrMQebhBaV5fZAB/lxoO9KdMdSvXMTUAN9DdxlRgY7hkFPeu2dO/KTzKbe7k8u3b/6PdcpbbkfsSqP3ir/AK6/H/sWzmZQgVpUeIxXT72bTr6C9gPGW3dZY6GlSh5U/wBl8S5GY4osqsU+lr+BXBNKOg6ddv5l/mXCWEiwvUmQ/C/wSDsVb/mj4XwwttQjuLaC6jblbzKssLg9FccuP+rgK/jVQ1dkcVHscvwg1wS+lxZbGwngeg61xK5vY7VPVc0I+wR9quALO8H1QPK1GiHF267/APXOEl3dvdSlzXiNkXwGSxabxJ1L6RzcvTYvFlZ2iOf6kJrlvHrsrXNxRLqnBZ1AB4jokgX+8Xfrk18o6WwsYbrUQGukXhxqDQpt6nf7Y/mXl/kYSafYBaXE43pVEP6zhsk8kL84mKsO4PXK9TgxiUvy54TIcMyOUgOX/STkZdTHHKccI4DOIjMx2EhHl8R/OZS5IaoJr4jFZW9W3LDqOo8DhNbaskwEdzRHHR+x/wCacNIXAJQn4XFP+bs1uSEon1D6WiMgVAURWPfC+cAE06Vp/n/w2GEikfCR02wunO4HauXYtywkg5m2O+AZjVj7tt92C5jUHxp2wI32+9S33Zn4w0yWIvE07GoPvg5Iw1e4cUI98CgU4kbCtf8AgsGQVoNvbBkPVQrW7PEOSk8f92AHqP5v9bDQMZVKklmTep/aDftYBiUKwqNu/wDxHB0ClSpPhxP+x/azCy87boIeXqPDEHWv68GTpxc02B6YHK8qDxPTJQlsxkFOGIklqdcMvqcdzbtBKKqwp8vfE4Yxtt7YOU8V6ZVlyGxWxDZjuJBBojcF5p5sWbRLSeNjxkk/dQN0rz2LD3C8s5tpXkW/8w6hS0ZLe0YEyXEv2VoeNI0HxysP8n4P53TOw+a9KbzBqcXqNyttPiKwwKDSSZzWRpKfsqqqsa/8ZeeEtu72cqOnwNEacBtSn7OZWHFm1EvGlMRIhwiI6nnxHuc2Ry67J4pmIjHj4BAfxS58cu6040DypoXlxR9Qtw10BSS+mAadv5uLN8Ea/wCTDwTDxi7bmtPFjiEV2ksCSpRQ4r4k4nJMzE1JyAxyuj0ddMkEg8wiGaJKljXetFwLqGsW+n2U97cyCC0t15ysPD+Vf5mf7EafztiYq7U3av685H+Ynmj9KXf6GsJCLGzY+q46SzL8LN/lLD8SR/5fOT+TLBis19UkRslj/mnzHeeZtTe7nJSFfgtbavwxR/y/6z/bkf8Abf8A4rRMJVBNP15YG1F2Xv74oqqBvmwwacDn9LKUqbVSvTbxxRTXam2NOxpUb5ZYLsO/hmZxiIprO7bsFNK75XxeHbxGXGvM8j1P4Yt6K/5jDUzHj4dx0RtfC//Q4t0GUTXLOV0zrOThB3U/wxpWp7Zfic2O5SFoJB+E7+GY8GoacG/A5ZAxjV8KZWYdzIF6v+XGuC5sH0O5YerafHByO7Qufs/a/wB1SNx/1GXJdcOsMZEhpH1HemcI0fVbnSNQhvrf4miO6E0DK3wujf5Lr/wD/H+xnYLi8j1O1tb+0Je3lXkpHj7r/N/xtlmlqUhjJrhYnEJZBZoFSku2d2RfhjJ2A706E4M0+0MziZx+7XoD3OA4rQt+8kqqdVHjhzBMPTAG1OoGZ+WQETGHzZnOMcThx/NHczx61pXGh/2e46f8a4gJCD7EZuVDQGg6fRmIIONasCdwCQOowdZak9uQjnnCD07r/q4WBiehoVPf/P8AmzctlYDtWnt/LkZ4hMVJkJEbhmHrRXIE0JDI6ipHY+DYWXJIfp0NcK7O+ktHLrRkNOSHo3/N2GN1JHKq3ERBRvHqD/K3+VmGMJxz4f4Wwz4gg5WHEjp/tYHP2j86imPleoPjTqMYehJ8Qcy4ig1kqwFQT7g/qwXEu3ywPGpIbav2cMIo6K21NzlOSVbJiFShH0Dr9OCojXt+0R+HLEivh/Li0S0J/wBauYszYboil1ytQD47YiiVNfDBU61RfbGooA32GQjKoqRuuRQB4YlPdcTwTdgOvbGyyF6qlQvc+OBwtOtf64xgDuVJpTOwqKLvU075GNatmjnNwq0jk6+zZKXQ9afRgC8jSaJonFQR1zN02XgnxdDsfcywZjiyCXQ7H3JHpd+Yj9Wc/A/2D4HDVianepJ3yMTxvbyFGqGX7J/jgptbjt7RpJfilT4UjP7bdh/q/wC/Mzs2IH95Hkef62etxi/FhyPOvvSrz95p/RFkdLsWIv7xTydDQwQt8PL+ZZZviSP+ROUn8mcfClyB+1sAAd/8lVXOhPp9jeXUl7e25u7mZi8s87ueRb/iteCL9lUj/wAhcOLOFbdStpBFbc6f3Maof9b4V5/8b5RjuO/C4njQiKDy+Sxu7URvcwSQpJUxmRSnL/V5Yl3yc+fZo7aG202Vi1+zfWZwxJMcdCsSN/lOzNLw/YyDgDblU+w/z+HM7DPjjaQbFlyKXBIIA8T0x8cVTvUDv4nHKOXXYDoB0GLAACmZOPCOcmEp1sGwFG4AHYAY7l8saAWqd/bLoPH2y+97ar3t/9HjGxFSN/EbZRjqKqeX68cQSeuNK77fhnXGBHJwQVtDT2xpPjitT0Ycv15uCsDwbfwOIvqkFTPTGEbY8oVNGBxgGRICQtI3yaeRPMX1G5/RV23+jXLVhZjssvh/qy/8T/18hpFBje/XfI7g2GRAIovfJRyQ8SSBucDhjA/+QxqCcjHlHzOdQtxZXjD63CNmPWSP+f8A1k/b/wCRmSglGFNgD75mQIkLDiSBiaKISWvTY/qx4avTbtTC8MyNxY+6k4qj1JGTMAoKLV6igJ23+jFkavfr+vC8PxNa7f58sVWShp365AwTxI0mh7YpBcFKqxqjgch4f5X+w/5rwIsvL9Xyyy1DTK5Y72KQUa7bHwxoNa9K7YGWQ0KN2G2CIKsQAK9ANuuRMeEJTO2jJB28Dis9/FCSkQ9RwTUj7IP/ABtgK4uTQ20BAXpLIO/+SuIgcQAKgePfMYY+M8Umd1yRDX165+2F9lAxB7y9JHCdgD70zFugpuexxpIYb1I65YIQH8LEktPqOpg1NxIyj3AAxn6Wv2B4zsaHv0OMerb/ALK7jeg+LKcpEnxCrdcl4eP/AFOCOI/zlca7dQisjI6+DChyn83LFtLbKaCvwsRhVMgYGhAalSPAf5/sYU3Ksx470p07/wCTyyGTDjraKPEkP4mTQ+eLGeX0ZLWVKdWBDD/gftYJ/S9ncAcSyFj0Zf8Ahsh1lZrGwZiCx+In/iK4cpHUgAb0G2HHpwBZ+pTkJKproVI0lLBq7q48Cfs08cjIDXEtT07d6CvQf5WHGpepeVjQkpF0P8zftBcL4U9N1dvsg7gHcj55n4onwuHubo8WXHwDkERaafJdOEgTkajmzGir/lM37OLa5qOn+VtNeeouL+T4YiTQFvCNf5U/3Y/28E3mrW1nZtLyEVtGpYhRQD/Y/tNnI9c1efW75rqaojpxhjJ+yten+s/2n/5szHjCeWf9FphAXug7q8uL65lvLiQvNMxaRz1J/wCNV+yuUqrQHpTGBaHamKItWzZY4CIoNkj3LhXFBudug6nGV47+OPALDivwjuT3zIDSXFiSEUGmO4r4jLEde/0DbL4x/wAv68eEosP/0uN9hlHfHAA5R2BpnZkbOuUyPHKrT544jplAb5A8mYLuTDY7jwONqh/yT94xxHzxhFMr4LSHFWIqNx7Ywjfb78upBqpocxkPRwG/A42QyFroZpreVJ4HKSRkMrqdwc6P5f8AMkepxCKSiXij97D2b/Li/wAn/fifsZzaqHo3H2OXG0kTh42KspqroaEf5StjDMIyWcBIbvZGnWQVrTwPgcfHNU8ankMgml+bekGpHix2FyBs3/GVf+N0yTxXauqyxOGQioZTVT/qtmdCcZj0uJKMoH1J0WqK7U7jLDkbVOA4LtXAqa4sXDDkpxOyjdEJLQkDoe2Lo9ab7dAf+I4XFypxWOblVSdiPHv/ANdYkWm0xRgSGHUHBLk28dUNXfaMjwb9rAMEoY1JFTv9OCZSWljU/ZRfh/2RzHyDemY5ImEBEB8dzihYAbAV6U/41xMN/wACO2Ju23U+Ap/wzZDhVeW3pua40sSR3P8AHGmQUpty+fXE2kP2Qa13qT0GHhW1QuF2AFRvXEvU5EnqR/nybEpJe9TyavXagXGK4UN1oaEg+H7OTEGNtFSCSRux5VPc4AKguzsaqu2/c4ImZmYb7/PoMDTuBTff2xMGJK9acwa7Cn34PUgAnxFNjhZAxPGvRdyffBZZmHFdkH3nJVQQESssUYPFQT067D/ZftYSai4R3lDBYhVmbsKfa3wZMyxI0kpCIg3qaAD/ACmznXmLzAdSc2loStmp3PQyH/mn/Ixx8XFUW3FKYNA8+ajr2tPfuLWByLWPcDpzb+Y/8aL/AMb4SgHrTKAptQ+OKBaj4iFHvmZjgAK5thO3eXA7UxVE2qdh45aR1A41+ZH/ABrghEpUnc+JzJhC9y1TmAtVNxtT3PX/AJtxQKAAK0x3QdK407Hfr7ZbQGwaDIlxYqOmJ8z4YrwJ67nwy+I8fwyFm7Ww/wD/0+NlSpFD9BzEEdQcVK1BxtCDttnacBHJ1vEpV38cofLFiyk/EoJHfplFY+oJHzyJFsrUiK/LGb0xcRN1G49jjChHUHImKRIKJFcbSuLFfbG8dzTBwHmzElIoD12xoTfY0xY1pjCtB0yEsYIoxZiT0Hyxo9jPoUV0qRvcSczNyAZ/hYr9lv2UVf2MbPoyW7GWyka1cmtYvsk/5UTfC2Efl3Unhhe1DFSpLxb9AftKv+y+LFLzVtbtrlruGT6zbMAZIZByA4/s/wA3/AZA6rHi9EouOYSlkkBJGtquoafV7uATxL9q4t9mH/GRG/2X7eHmkeZbC6bjDIrsftQyDiWH+q3/ABJMBQXFrfwI4IilZQWR+lf2lVsKtS8tpIfVg/0aQ7ggfu2Pj8P2W/yky+GSUxeKfixYgwuskeCT0VILK7T1beRozTda7qf8pWwLc20lqplLCSNd3K9VH8zL/L/l5zy01bzFobgTq00KmnJqvt/kyL/xvkvtvMC3EayBqchUb7HLIyKZRATG3uKEENVTuMNmlDmJhTdN/vyGvdLBckw7RyGvCuwP+T/k4f2V2s0AcGpBpgExMoIoJx6lEJB6HEnloKEnYU2OBFuRSlcTaUVO+5pkxBFo4SA712O2xxJ5vtEnY9fYfs4EM4AAHT54kZ60C7mta++SEEGWyLMldq/P/mnE2lAqFJp1Jpgb16A1r9HfEzIWrvuTkhFjauX4mrdT+GINzkk2Fa9BTrmHNyAo5Hx7YujRWytJI6hqbsegGJoLzRMUAQAH7QFaf81Yy7u7aziaeeRY0QVLk0AyO6n50sLRTFZkXMvSiH4B/rN/zRzyEalqt/qsge7kJANY412Vf9j/ADf5X28gISkdm2OM9U08weZZtXY28LejZA/YJ+J/8p/8n/I/5GZH/wB2TTkT7KM3p1PanbFUiHWmZWLCaZ2IhoBmoEUKPE7nFUg3BqSe5PXFFUbbYqBSmZUMYDTPIeQdx4gAdccBQf575iQoq3fGFmP2fhr49RlkpANVWvJCA7798SEhrVQWY+Ay+IFSaMfE4mSfHb2ymeQ82UQGmeatD8PiScT9Rv5vwzPU1rUjEqnMbxJcY9TbQp//1OQ12H45R/hTMKE7jfM1aZ3bq6aIB+jGkffl1qPllUrkTHvSFpHauVzcdCcft239saRvlZiCyDRduhAP0Y3n4gfdjumYqO43yJgy2Wlxv8P8MoOngK5YFTuM3EGhAr7YK/pJFOin9GRZYxRlPj1w5juUkT1ErxcdPD/JwNFa2FynJWaF+8ZP/EWb7S4Mh0yCOMul1ECd+Lygf8Kq5i6nSjLCREvU15JR/wA50c/A7NuDhnaalMgorED+U7g/7HCFmKkgmtO4xWOam53zTRlPDPaSOIEMnS6tZ6+qnBvGI0/4JfsZRsrVhWGYAeDDjv8A6y/BhClwKjicGQ3JB3YUO3sf+ac2WHX5DtL1MTEdEZLp96RWJll49KOK/wCr8XDFYJ7+2FGgkQHqKBqf8C2JpLUjcMBsQdjggTj9kHbt/wA1ZmQhxnjHpkjxCNi0dRfmEYsjnoGqMEw3c778+Q/ysjWteYLOBVt4aXEvL95Q7R/6sn+/P9T4Ew60uzg1S0jubeaRonWvAuaqf2lb/KTBiy8WSWOGTilFu4TwxlKKMvdUsbJA13cqknUQoC7f8Cv2f9nhT/jPTVr+6uG38E3/AOGw6GhRleJUEHY7YR6l5etw5LR7n9pPhP8AwuZojMC+JrvH1ipT+d4F/wB57R3r3lYKP+BXniA86XDg8LWIH3dj/DAb+XFc1gmp7SD/AI2X/mjAN1pF7aLzeItH/vyP41/4X4l/2aZHcn+8bYjDLkmMvm3WGBVTHCD04JU/8ExwquLy9vCTd3Dy+znb/gfs4irsoFKEHsd8VXi1OXwj23GXQgOZik7coqYSuw298tVpQ1/DFBGxFFKsPY748RPUfCcvhEMTJTA+kYug8MywueqkD7sURGNBUKPbfL4BqlJwIH0Y4tQb/ee2PCKoGwJHfrj+KtTkDt0YdRllEBqMgo9TUD4vE5ZUkbd+uLCBhQqeX4HHhSvVDt7ZHgJ5sTPuQxRqHbtjSntg0Ba/ED+rHhEJrQZE4wWJyUlDIwHTr3xnBffDdoFY9Acr6ovtlfgH+cz8cU//1eTepU/EoPvSmNLIT9nKNKV8coCnhnfEW6ml3FO4pt2ONHp9wT8jjgOx74zr7ZAwS4iLvyzFYSCQTlEeByqbCmCURHmyDiYx0B6ZRKA9CfnmIpvTGmh6g5WQCkBxcD9kfdjTIx6bA+GXxzcT0A+jBwMhQWkvXqcUS4cbHf3yvSalTsPE5XFAdzU+2VTw45bSipoq4nDDen05fQ/CcDFqbKKe+NIJO5rmLPs6MuUmPAEas1DSvT3xcXC03YfThYsZIrsB4nMWoCF698Eez4xP1L4QPKSbHWBCBxrIw2AO3/DYWalqN5cRHlIUjY09NdhRvH9psYsdasxPHA981YxQUHLbLdVAw0uUf0G3DGInGkEg5OF8SBk18sah9Ql+rs5WGY9Rtwk+yrf7P7H/AAORCzXncRqfGv4YdLRds1Gin4cuJlqpfSHqEOryRkLPGsi9CQeJ/wCaMUuWsr5CIT8R/ZcUIyF6Zq7GMW85qy7RyN3H8jf814YfWN6lipHTNwNZGO5cXnsvu7RoGLLuteh64GFyFG1UYd8HpepIoWf41H7fcf8ANWB7mzB/eREMnYjcZf4kM0bxy9TAgxSq7sLO9JdgIJm/3cg2J/y4/wBr/XT48I7iwntXCTKOLf3boaqw/wAlv+Nft5InjZa8hX6MTZWKMjDnG25jbof9X+Vv8vHDqZ4jw5PVBmMhpjwU7b74qsVTQjBstkU5SRVZRuykfEn+t/Mv+WmIhfuzdYjCcYyiwlNYqCtQMXVBUA7nLVajpQY4J18PHLeTVKVuFKnxH4ZgP5unY0xRVFAP2cugoOvscQ1mSwstNgK5iHoBUgDHBFry5GuO4chtX6cjLdBICySeQhUJDcV47Cn/AAX8zfF9rEy/U0I7HelMX9GgO1D44HZSpr1HeuUyjJnGQk2rM4ADH6cuj+/34mCyEdCvUYpzP4YLKa3p/9bkdQBtmJI3XcfqxRVpufi9gNsvlxqAAPozvRvzdTxKJNeta5ipp039x1xcMaGtfoxhFfGmNHpJRJS4SN2J9jlmM0BqB7Yqq779t8aeuw98iYE814iphBXc/hm4oOxPtilN/ntjT75ExTxLDT9lfvzFmp2Hyxx2xlST3w8IZA2plSdyT9JzBQK1ripR6AtsuV8A61an3YKEecU8SmqljsDTvjiI06/EcxdmFNlHtlBQPtYBAnkldGjXEgiDIh4lqyOEWi/5X82MijDL6jVVfbHqkVOTEN7dczEsfAeGEY6OyTLagsduewAoOgHbAt4tIVPapH4YOVSxAwNqJHpoq9ATlGux1pMp/oMsUvXEBC2JKXCsOor1+WHK8ZByQ/MdxhRYpyl+jDaJSgJXY9sw+z9DHUaSR+mUZp1JHErRbOATTtvg2e8e0WAU9RXVuW+/wnivHACTmv7xQw8V2OK3Usc/o+kCAkfF6inxVLN/scydJ2bk45Q1EOKDjD0m0cmoxN0fifBtsFRai0Z5K2x7A1GEAiDdMcEC9Bt4ZZPsKN8WHLPEy4xyZKNXtD/fRAnxQ0riUmrafT4YJGPbdMJVL0AYVHv2x4iShKn/AILMrD2Zkj/eZ5yj/Vi1SmP5qLm1BpCDFEsVOjVLEf8AGmBCwBJahJzemKbk0yyvEbChPc7nM7HijiFQazIFotUiikjwGJyTup3WiDqBvT/Wy3k4rsTvgJ56HtTGeQR/ibMcL/hRq3YYDgrN40G2YzTBvs7+LbYWC5dSQWJpsN8XWYtQVOUQz8W3EzlhEf4UcssnUgE+IOLxXCkANv4jAkT0pTrgpfjADCp/VlwNuPOIHOKIEikbd8sqj1rX7sSMTqOv35QZwNx0yYmerRw9Qva1BHwio+7E/qr+B64qGdhs2X6j+Pbxx9HPqtz5P//X5UagbY01PzxQFBUsdvYVyqx9ACR8qZ6BV85OlCn03rv8s3gB92K0UjpxB7k5vTX+YV8F3w8Hcm1Hf/ayjX/bxbjHXox/DNRQPhWnz3weGU8SgASfh65fBu5A+ZxVh0JqKHoOmUQT0pTAcV808SlxVRuSfYZuRAooCnxx5G3XKIH04eCl4lLjU1O575iAe344oEZqACpxwjVftMGP8o3x4b5J4lERl+gPicbcQclojEtWpr0OCSWbYAADsMbxGHwjIcJSJkGwhFhlChSEWhryH2j7YqELGiip9hivAtQAde+OKhBwU1c9TX/hcnHHwspZDJYxCAoN69WGAb9aRKad8MFjJ3O5GBtRT9yh/wAr+GUa/GRo85P8xOKQ44oXT1JbYeP6sNEjYRvU71HfANgu57bdcNUWkIqDuTTKOxI3ppD+nJdTP1KCR961xVY69sUVOhIp4DHlW77DN0IgBxZTtYAKUFK44JU7jfLC03NKY4Gu2ww3TAlbxpXb6M1aJ8zlnevXGl6oVA3G4pkZToLzb6CpIp88SeTqa/25uRI6VxjqSNhlEp7MoxAO6Hmfbcip7DAjmo2+eLyrxJ2xB9gAD165h5JkmnMgB0USaGtMVjl3BNAcTffp/t4wE1plMZmMm4xBG6b2zKTyZgij7TuaBcEnWdLg+EySSn/itKD75CmEuoExx28I25IJj7l/s/8ACrgCgJ3zD1HauojOWLTyhHh/jYDSY5jimyR/M9qu0dq7j/ixwP8AiOJHzPAeun08aTHf/hMICgxhUZgZO0u0on+//wBjFnHRaYfwf7pkH+Jo6fDZKD7yk/8AGuN/xM//ACyR/wDBNhB0zZX/ACl2hf8AjM7Z/lNP/qb/AP/Q5UvWgArl0Hc8j4V2zAUHFRQdyRvjgopuM9BECebpSVv2jvl/51zb+GOofDbJAUglrvtv3yq1O++KUPYD6c3BqV2OWCyi1MgnwyiKbEfRiohc7khV9xjgqj7PyqR/xHDwE/wrxUhSfGm1Kgnf4v8AJxTgAaD4vc4oYoyeRFW8TmCAdwPpxGPvSZgjZTKnoTt4DKAAOwAxXiB32yuIJ2rkuAdEcSkRtlHbtvi1D4Ux6xhTVhVvD/mrCMaeOlJF4LzYAM3Qf8bZQQsTXpirhiTQDkfE5lV+5+gDJiIBpHFtawLvtgbVYyLUNTblT8MMFVeQrufniGr0NltTZ16ZRr4g6POB/MThn++ggNKVGkCMeKnqfDDd6KAVWqqKA+GFGmCsgBpTfDaoXdd+22YPYMv8GnX89lqf7xoPU7imWBX+3GkBgStQR1Uf8a5XItTw8Rm0MqaCFQ07bnEyQo3plFT4gD3OJuadSD8shLJTKMWzKaEDoMpJiDUHYYmQCNyAR2riTNvxH0HKTkLaIAqshKtUbqdxjWlO1BjSpI/Vv3xPkaGp79MrnMsxG1jszk7VOByaE13P6sXZlWtT92B3bY0GYszZst8AsLAdsZ1Ip165ZFR1p3xMk1G+2YsshtuAV9VJ5Wpr1to/44Cbc18cGXnxWVu/7UbPGfltIv8AxtgJTUU8M0ubbVTif4m6P0hoVx32RlgYm53phyfuocR+pRu0Wrmrjc2YPiy58W7Kn//R5ge/b5ZVABvQZXh88a2ejG+jom2kCgs2wArkou/y+832liNQayjli4mR44JlkmVVHJv3f7Tcf2Ed3yJTf3Z+nD1Ps6TX9Kf7zPy5eHBeP6Op/uj/AJaeHxel/eZRlGYyj4ZgPdHi/wBzOLdj8OpcSThqivIUIr8O9cejAAv9AriK/ZFKf7Hpizdvoy6DVKm+RO5JPjXHd/h2xnf6cvLN2C4jah3zEAUGYdDjG6jD6qVcAKVJzcqiopTuTiZ6j59+mPbqPnhF9E7dVQMFQMBRiaVplA1+nM32F+WUvQ/wye7E+a4UrsBQZdSepp45SfR1xy9T8++O6CtJp02+jA1+KWMlftEqR9+CT/HENR/3kl+j9eY2r/xbPxfzJNuG/EggdMoZQK0Br+rDZhv7YUab/fLhw3U/PNf2F/i87/n/AO9Zar+8WfZIO1QcTYhXIp8J3GO/bPzxj/ZH+tm0N01xXcl79MTkZOwFPfK7HEn6HKjx9AyjVtO6haChxEOdzQU/VlN9odOmZvs/TlRv1N8eHo08jGnYDpiLyFiSdj7d8t+g/hiY75jZDk7m2HC4kjr08a4wtXYdOuO7YzscolxW2hpqnZT1xgG+OHf55h2yk892Q8l8hJs5E/lYP9P2WwADv88HH+5l+R/hgAZp9df5iP8AUbcfIrixGJk1OPbvjMxs5yfxBmGhl5XbLyhL/9k="
io.write(pwd+"\n")
io.read_until(":")
io.write(token+"\n")
io.read_until("?")
io.write(image+"\n")
io.interact()
这道题的意思就是先解出key，满足1
MD5(key+"10位随机字符")[:4]==四位随机字符
然后提交一个base64的图片，这个图片和原图的所有像素点通道值的差的平均值小于等于2，并且图片分类不为daisy，就可以得到flag，这是我最终拿下flag的图
1
2
3
4[*]I think this is pinwheel.
[*]What? This is daisy?
[*]You fooled me? impossible!
BCTF{Y0u_4r3_sma773r_7han_AI}
总结
还是太菜了，只做出两道题，web的sqli那题用户名xxx’=0#进去了。一直以为flag在b里，没有思路，后来听说买d就可以得到flag，好气哦。
