p197 MS08-067漏洞渗透攻击

按照书上的设置做,exploit得到错误信息:

Exploit failed [unreachable]: Rex::ConnectionRefused The connection was refused by the remote host (10.10.10.130:445).

在2k3下输入netstat -an看到445端口是开着的,而且也没有设置防火墙。

可是在kali 上用nmap 也扫不到445这个端口,奇怪!

(补充:后来就成功了,我也没弄过什么啊。。有点莫名其妙)

p205 MS08-067漏洞机理分析:(每次运行堆栈中的地址会不同,但各函数的地址一样)

首先通过IDA Pro打开c:\windows\system32\netapi32.dll,找到漏洞所在的NetpwPathCanonicalize函数并双击。

书上说通过观察其流程图CFG可知,此函数并没有直接进行输入路径和规范化,而是调用了下级函数CanonicalizePathName。(我并不太会看)

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打开OllyDbg,点击file->attach,附着到svchost.exe进程上(通过wmic查看命令行参数为svchost.exe -k netsvcs的进程pid)

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" alt="" />

view->executable modules双击netapi32,在cpu指令窗口右键选Search for,找到函数NetpwPathCanonicalize,地址为71C44A3E

aaarticlea/png;base64,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" alt="" />

按照书上说的在此处下了断点,然后点F9运行,从攻击机那里通过metasploit进行exploit。

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LHp8cUFMWqJxcwKc48EdA8dtm8QyY6pIFD2CdDh+YymZpUoUtY31RhLpN5Z/AQmPOXKSjKZTI7hw5N0UDz19Z8PiG7AVRwnqLXcexQDX3srq2FRFslpYD8636pwnv79ms79tg9ImqfYCb8/xYEKY+wwrAgl8l8OLQWEO2UbCN5iCdS/YKCoiNHjujJf1C4zSVEmb7NwnkLFuZy+6MoQmZcSy9hYWdnZ7+BgyTIrqju+dHHHxPQeOz4id988824iZPgUmQURRVVPSSSTldW79m7VwcjVAcjudz+8qoeEn9XVPXI7d+vLXKKZUbJOmJF4DzEzOeT6YBycTJ5BVJL/kMyhCGDVTplzxYwYo3CgyZhByh5NnHvglEkSGfXYCTQHLdV3M1w+CbwDZlGYMQ57/Zg6mVs5Byv+fuYbOCCEK+Bg49dsHDR9Tfe9PgTT3Z2dv7il7cmgZH8/poDhM7OTg2oHT16NE66oIHj0xUrV33wwYdXXrUyDieMD1FaXin7KSuv2LcvZ7w2NHpOcrn9peWVrk8cEjg+K6uozOX2u2As/EnVrhbtPSRWIOOPk8vlKnr0go0lGHGlUoMCY+GSispH+/V7f2gsZL/v05fLvUDPoUOC6iDF0TN/9GltLUccLg24h/20thbKtCuNNiAkmwcPyWUyPYLQpaGA40P4ozcHD5YdMtEhDP95rxoOOgC2lnoN08DjR0KyKUoCIcwl7B+1tblMppgGIsla4hSKXLbKAgxcwp4eMDCXyVxeVV0aFIQshG1iyWahx8KCIJXLZD6srbWCEUCrKZf7qp699uVyQq9TbizTBS7Qax1S02BIbeaHP7p+67ZtBw4cePCPf5o8tcGjzA8KLPkhNPAItf6LrXAKDa5atfqDDz9csXK1YNMxGElXVnuE8pp0ReW+XA4m2wkkLclG4FGW278/XVktGXd5ZXVu/34hZ7HRjnDGiCzwDklMdXQwItA2YyhK94YwL9C34JR4oQ/jFClV8aBMuPtAhNsap8DnMrPlANBIBCMo2Q7jlPxLkSBFTyIOu/Lq4eBr0eaMGxNq+5Gh4xQnbLzSrVtApv+QjlVgJKmgSXDt8ScePHiQ10hIbRpS167g1CFs3fr11b1qXJt7dXx6+pnD337nnXRl9dtvv3PamcNlOKftsvHkhsYNGzc6IJGus7MzLCzWxgJghDk+ndo0jYMRADQ0MEJkxsiRI0dIkHJAZrfMqNvy1lvDRtbB0eEvfek9ZcER4YSw2WXlOZ774cOMkRKXsNFFJblM5vbevbmGvjZoUC6TGZAqdAk7JlWYy2Q2DRoEwYi1AFNQZIf80e/79M1lMr1ThS5hvcOCXCbz2qBB0jIXsvCD2tp9mczgVCHO5wvEcmXgoOwU4JQJc8HvDJeGLw4cmMtkhotVVnM3414JRkDGCP+JUBCkPBqcWFgE4Qkvn1Rc4tLgpMLiXCazYdCgboERykaOGrPlrbdcI3vPNQoeYT4LV1295o033/zmm2+ee/75+QsXFacrPJDQLTYoonRAEqTWr9/Qs6aP3M2o5X6cOXzEO++8W1nd8+133jlzxEiJOKIoamxWYKShqXnjxldh9l5nZ2dhSalSeQVGGmWbpmktmze/7oEMPwxGAviSOHLkSFhQJMGIl0A2iE1wgZjCxD6jTQD5tRYlthom9NydsUyhtI1lYgfdIHuQKcOowKQxgeXdQCgaNAi1XxIw3INTxV+v7VcCg38XDp14UTD7Bm/SZd5wlTGSVNj46quLL1jab+AgEqR69el3809+uvHVV5Us+qJx/H/zgREucJOmTH3hxZeGjawrKC4tq6iaOfvsl15+mbcpKk23ZbMj6kc5Phk5akxrW1tRadoR+CKbba8bPaawpHTYyPptra0tM2ZC3f/bpk3fu+hiP0gBMMIWLFrc2tY2vK6+sKRsRP3otmx27ny5e4hYwIgy2qy9/b3z5sxFHYoCzxhx8efSwAiQMPrswIHTy9LlLKSETSoty2Uyzw4cyKNOKCzaVVv7YN9+RTT4Q99+u2trTyws4o8uqqzigptm4W/79M1lMt+trNJkWgPZblKHNHAJO7OoZG8m89NeNSU0+FlN71wm873KKglGFlZU5jKZ/+k/AC1pUslDBMhWNeqT8hrIOqaXpXOZzPMDBw4qKCwNUqOLS/+rX38PhL81eEgukxlVUhbrNQ1dGjw3cGAuk5mdrqgMwof69xegQ1n4e/v0rQxCvvx4SVW1ltinwAjYSuOxcOXqq39/110SmgPhDpVeg63q//v226uuXtO73wBP284OojxAvfkK5OSpjS++9NKIulFFpemK6p6zzz7n5Zdf4flwJenybLa9btQYj7JRY8a1tWVL0uUSX2Tb20eNHVdcVj6yftS21tYZs2ZDxLFp02sXXnxJUFAE868XLl7S1pYdOWp0cVl5/eix2Wx23oKF2kZHDkYIyuMOSJBqf++9OfPm8w59S6YgAiMaLrBuXveBTFtJtHVLt4QwFk3XCnq4NhYGI/bt49bUOlMxzd3nSWQD92NJsg7zEpI8YylUIt+djnvuL4umXkLq5jsNqxy8dmcWxk6Y9Ohf/rJ3796vvvpqx44dv7rt9qqeNV2BkTwF4hA2YdKUl1955cCBA19++eXzL7zQ0DyNt/njn//j339+iyPyTH52yy1/+NOf5XyWLF3G0/Xa29uXLv+O1vMZw0Zsa23Vd2DSYNXVa95//4MjR47s3LnzqlWr4HKl+Qf+Spg+c1ZHx86jR49yTYe5KE3TWl7bvFmovFiTNHiILIwqLr2/T9/2Icfuqq1tHXLsXb379E4Vyj2ZjWXp1wYN+qy2dvPgwdNKy1yByAkJLqms2jx48Ke1tZsHD76ossqnaEuOPFqEb4uXCg47bC5LS1/s0HBGuvzVQYM+q63dMmjwFVXVBOj+y8cck8tkZqisbTNjRMvRpkqyEdqO28woK39h4MB/1NZ+MnToEwMGNpSl+Wy5SjaUlm0ePGRXbS2kH8cWFv+f/gM+Hjq07dhj/61XjQlGftKr13tDh/69tvbWmpogKDAz/OA/4tSR4I0335w2fWZSYp9+kAjeQeNrGdmJG2eYz8JJU6a+/Mpa/i/2Cy+82NQynbf503/8589u+YVE0j+/5Rd//PN/8J6jKFq6bHlHx87Dhw+3v/fesu98V7Pnw0aMbG1t4/9iS6dMw4LVa655/4MPjhw5svP991euWg3zuM0/cTJJkPJZOHPWWR0743+x8eZ1leqHcAp4ExDwSkCiY6PeeXUtsKtzPhG0u1fDeuuYWGPcBj3XAHSeV4IZlcCvjTYJY3WXejuFUy5265b4Z/+Ujl5kpR/IF8MaD/EQYzeKln+tOjQwiH13TAJOIQa+oOhYJdQPMYk2X50TPTPIOuAQctsO2PAiCwx+QJoq+vjjT84YNsIFbUQ/euMY4MLvRzplc1ekVtDyr1E4gXbY0Rw37aJnPWkPYWumtQFRDKaX2MQdZQGamyHRXnOxcQYXqMTfsLGAHjIdEG6lYbgGFYbX1X/y6adBQRHcdC7aUN+I0nfHmIuTmHr7LHAJjQuCmXhgYzrc6S4TRWSNWl0U1FvpNc/j5unSCoxQc+ek2ryOc6tVz4SRGIMwEqIolDGCsbVIrQtkPh9M7KMAQOvbLEFmnm+JQpwXAw2NNljG0hg3U2OhcAC7A4ySAf4maKoSteNwXbjNsfDqq2Us/jeIcQrKdzT29CPdd+ikS+h5vyBNK+nIuY5t58j/4x+LXids6bZ6cCzK8TGBUTfYi3a0CBiL2UbHbyYzytKPOnZq5erVz7/wolLnPFG4RuqsPKiPcwlzGi4qGMorbTU4JlBabwdJOToTCuCUWJ0dVdD2o4c8D10jJKCA96zn2/EoouyPlDpbxB2AESG49j3rnuIhqvDiSy+tunqNSTZElOIhtoKxTxKCEaGYgqsEHIN46sQ+oeCE+SwENUpwoyjyEZpAWpywnR0xCq1gRvmWGnWuHsEm2gNumppuOtAOvUONE8FIqB+V10VUYI3SfbrkBrqb1o7lMxGHNR1QjwptUUZ4YDX13fmVoArg54vCKTBL0nHPu5U1rPBHzHEnXW563v8/C/l2w2Nxj7rHXrQOXVjTjUNLtD3red4xrtBZq0y7ZhS21Q4QZanXLg6Pa+AOdWK4afPwVdsprK6uxaY6ozY4HBy+au8w4TC/BKNtqTHPD6FCVUUBLkUivQZAQxfuvFIOjuXTH+n82lh4jKWciUdMb+zjISS1QEetCjAiarimB3gBM7QVoASHmETnO97P0H2LgitsrQtKAJRFZfiZ3Fkb3RB3y1h5qDfRDym17e1OPMg0CYwkMG7zBRAkjZWXbNhP7EMvAKKPJfE3+jj8l4QTNFzpjVnuz/ihP3qJjYeYCp7nUXcsc3eG6E6U9dzq7vfTrTOqbAWV8mFxwXmicLhIB8STB27awQYZuGk0ehK6VTlzJN6lqfohyt1b1i1pKN8EGhjJO1bSGSMwn0+33uYZfnw/us2nU4uCixQ9LNwsn+MmzOcHtJrqrDtuXZ0TC8wgJCyU1Bvjb4ODi7MA5bqlKFjyTEBBO2NEt8z4aBFJWiRg0Y8ogfJKbYnP8GQSYL0t28eT0ooln9H9rBaOTtqL80x8i87qamhuwMFj5RnUnpmXUED7yInxSc3G1pw/zxplqrxtCIeNXead/TO34So67JxYVqB4+V0K97fT2S77AWdba9SbdbMfIXkqj9vR+zHHwq48wRdr9hxhh2Q3DRoni7KtH6jOaD+60Y88R1uz3vzdINU5HjSRepvH8ikpB7srrUZbqzHBCHikQQ/7BQhCwXXqrSTYptd53HSoCnYptx02AlJH8ieKwEsJ4J4az7wtQT+ZRGJriEqwibbprCTRvgE9fD0qhFHwpFaTh4BCAN4ECHbbotRLAumRnc/CV0Jgk7zEKGJ7JSQs9AHqbech2qqggci7sSqIsXVSlJExYl8a1T5XaNV0h5z1E9ZwhT/qAn/ixV1bZi5z3XLTXfTTldXFkKHLDrtRMPtxQcHFBaTOCRTFJToGidWNIMQhhVsDLODQVJ2HuGJQ19IYYxBUYI4oxG4agxEbITG4ikXBuyyYaNuuzi4NXCqiupRy6XmVuAeyoD+KwUiQdJifJ+w5kHJ1ywG4uEClAyaAEXuUrz0ya/TDVzVCouFvWAh9PcokJIEAI6pnG9pOvMvGWpB2zxB3C07Jgx1MDKJ8enfBiJxGYDzKH2WaVnRIoY1adDvKYofDhIIZbtX05ChRcLypK/wxy2jTSk+cMdKVwEFR1lx5/sZdi+m/ps7fKsocq4sC6W5jJ18Uoh/JY4FHSmchD+FWGmIZIeUJANohTF1zQ4P4jQIaO3lFOa/cW49jzVMTFzwdnmCjTaQWS8QRF1wIPWJVZaCAbLWbyDoM5cWPXKuJ1lcgzXDzONa8R7bC6w6QicbqDICGrx26DaJsPARF2cAIoiixuWOWcAOMJF1Pk4+QAOutxlIkGtToJhp0iCRPuwqHJlhvLYlQG6tbUcZNMUaUr0UForF1rC7DwSvBbOyQCRf6599Cxywhw87DAke0fD4kwbgm4SRrIpiAnZBoUa5e013AYvaDhbK7OF7LCwSO23KOtiPBCCg4PnVonvMLAxfNkEiiraiFhN1wmVEMEYdTUBB6zW+qhP24qh/QmMAo7b4CiEpCSWNkjRvXhKgGhxs9h3zagHWkgDpjBYeJfUTIdFyw3Eqj2uggWz/myVM3Q6aUlBPZmLlgp7ueo20ePwL3SSrEgdP4qILUfhAimTYutQHnqSpCQrR+MPUWYKQAFiQPUWAERskEQf3EPhtyQRRFFXyVBcg0eYVJhDBKsg5AtO3hIK1Q7UcHU9UhtU9VjaDeklHI0XX+gPg1QWNJQuKrKGMsambmaeEJY6F+4AdE/SCZpvH2SPGtpnwaOO65/+ZNuTyoX+BNFLfSxP/bPRItYTevtze2SifpoudEw97V8qAskK4mr+u1VFWiqbPtJWGX8qQoaW10O84AACAASURBVKIVGBFiCvPKkZv2FYnW8rj5iSKiwyDO9Vaw27TecUo1DBcSrCGX/CbaLtO2zTX5rXfeC2u0NiA129PV2YJBJOPWwQguSIrioXOjjOw9o+BpCi6XGYmRH2Lx6ThK4G/frMGFfETbWtDsOdR0ADTy9hNAndVIqwGywUqmeScWdq+eJQpJeRJAIEYBvhJ0TGwMmpdEW7B1EivPdw6JBXEkmWjLVhpiRhk3nzlk8mWsfp4/7VqvfklXaph0Wkh36AdoHIv7t0bSXWH0fIO6yY3dfD0HrrFKmacfNVU9U1AqL8znow60w0i4lRbDNlrGiFquJNTBMu2YSBq7clgDQDbSa8fOQ7StPclajNG2yUPErTRaoghvLLF1/JJIyr82CsyizkZin2um8SFRtqwudkE/LDglEP4a8hCzxvDONkJi4SEJuR9JhMTMMwHSoJ3hl49siIKNqyRkjGDFNI9atfGQbnKDvIMCBbdha6iYNND0OjH3I4Gi2F4JlhQ9K+vIQ8/Nz+X4o5ews24iEy9mI87tCiB013ob+tidlME8jf/1bEJj72KeqEAVhHQmiTu4TgwMqoGIvP3EBeOidN4Pzg/R7/GxSrCAFVDKqZBXxUwswm1IsCP1Go0Fd0VaTTTsJ2lXJLy3NzEvECIOPWNEMm767cCI1GIXi7s9UUQHI98iY4Tomq7nBbpaYh+WYD+wibKEJxRLZ4j0WnevuJ/4R71u3ELApnWf7oMhmHGCoF1nQRQuaGTDpmJoLERIrNl7WhQAI93wzqBNUhTLM6iYc74jAK0fEH8/3YriBUFIHHrez92Gq8JhZ6caV2AX3B2mnI9xC4EziXZ31NnamKuhpbGma+KEVeqqa3+tUTacgnyxNaEb+GL5uaRe640Z70f4YnANsQQjQGeVyuOLwTjncWFjIPeuxjo0MOKDbfEKSRv5hab11kx0IqQORBSUYCrUmXo69EhI1iacfkCZxv2AHBLDX8sTVjmtVq7cV48MEx3omi5PT5VRvsgLtKfoiSGUqjKbPcfYGtjqUNu87jPUj8IXgDt7SjpDo7FGxqVM63fZUA2MgL3vGlP24L0wmvUmqh/5SLJgy/Gn3JCK2xIwD1GnsBIwDR+GhzA88NGOcP1WGtw4NM7MC/zEC2JCn1ARRW1gxH56qmysxiLoa9FeAOaWdxKgfqw0xvGbrqZ18wtmXOuN+w5QsbyizEXNI7HidOdAEotQqrxpV888MSnKt9oLA4UbvD/0u9hBY2LM0GxsWGZXz8OTHwcUpCtXJpqJcOZoHznuR8FliEo0pwxdsGyjouB+GS1BEBY0623BIHjPukXToeCaqEQTZanX2CBbTh3hWiz3x1ObTCN+LQueEneaBEYwbkZu2o1lOsFNqz3rSdabqkRs4+Z1KaYKfxvqLDL8UGMUbtV0BCtgYh/26TCKwO3RGps2wEjcWCcAYJ+LJW8ayjQfS9Tg1GxzKTLQ1dmay2xnFESv6SZKTgAj+XK0gToDnZVIuqshDHVOHEt80tDxx3236Kyb2IQLvWHnY6HkGKRLxw2E0jfUUP7TNeIwGfe/xkMsfCaPuOejFrqmY702oqQEm48cX2ylSXgBQHGH8gpV3nwBGG8LmJoNuAqQctNEO3Y2bbfejk+TNd1MB7StSZrnhyjYHYAMvwQpt9ZYCAk3vxa9dmMeout+1xl+edYkUX5IgqbbCmidUF94lG1CHXEkUm+LvzbTAYUvRqewqn5QXqAtRU/nIeY2S3uyBFYf2102WK/zhhvcAETlPypPn5gRZcMpoRgi7PZY3dvO3q2xQvitOkXzfskarvJPm00mXZakzq7016jGRhu8fD7d7CdPFFYxXYsT0gGpPkN9ztBxW8AISJKDjpvBj2xReYk4BLoRQkmABBuiDFI1QD/QMiPrHeu+vKXX7AfnfjhInWGmBzUl2Cx0I2kvgJruyZRqYxs6sMxJ1lsm7WnLjDgPj0HYrYAGbOyjGq0fpLMu9Nfi7NbYF1sV3LZgqKMSfHukhYcQRsICz2KQY8YNWEfo2clGgWpj8c4IjOhRAKcooBHG3AAkbxQY4QKDYHDMTaIG1iXZkPjbcvEukE4tjY/hdEA0eqBPgxkn7ZkXF8AoqLMSmivlJZSBz6W5YNCz9SxAYfypygLUTLSJ0Qn8Dm2DapmLPmVOMPVKv26+33KtP2pxQp6yLq86IenagxOLTNtz7CxtXKOQZHWTrbdUeZnGZ88Y6SoxvIuMEZgfollvw0Tbzq2VGX4qh0RkZANWjryzUFVAqxEYySfKBirBBhnl8ynhFgXsuPOeMQIdt4V6A+vNBNFGW2mC+JWQDEYwIaGePS8QY2tTuDFOSViBtCdr23GKdVER2mGiCIldr4H5hYgjD1fB+XMKICSrvD3VT/fyUDHBI9uJdIEplJ6kwwqM2FKzdTAimTKKsoqyr49lchWdP0CukqSYSTaf6WNBMJKHbCREEf1zmT8geGOHjV3qzbzRm3QZPeMsIcHUIsr6YSN5sbXWT3cXHvNFJaizXNvsbsKJqfu2xhIySDDCbKPjgr4fHe9iT3pJ4GvJtLNb7SeKqBpdi9XlBqofREg01gH7cS1Aw7omGbr6LWJ5CkmnROEsQCoLKMq63qgTEhGeKOVUrzGzAMUyI6Io+XKrzaVItN4YeubRIlQcFwV01jeEUhFtForDoUJNOq1ZgAJxyMZhgvUOqD6WvofeNxRciI4SXA/h7xAouBorCQr7xjZ0U6+BcCceEiLaWE/w6FI6k/Km4VioZw/nTXdn0O6NpYMREv8VqBTv+IUUhIQFDjnnp+HE75Lh53kTLsXS2Z3MvHzLg11qqJaPkWC08+yKtCwz5jfsuI3ZDyckzNYP4s5a7qBL0I5HmRbiYr3Wd0XGOIUgVQWOG+SZIFGWOgsLUvdlsrZ2lhPSa0OdLcf7GYQEA40EcU/Kv5YFBLKpKeUeU4AFLyFSqM4uSNrTJLg7Zlx33EZute3cKINxm9cdsFBPLzHWLc0saXPDJNGXKzW4bPfF9lQ/kJhhPkqOCjwdW4dYvKya3i3FlOLuw3B9K41ubLsYy5aQZy5FJkVZ+XXX6owzBT0Co3TqnTQWwkS2nThq8jTwKXP8pmuCYbMLmla5Y5ZrEgx0jZMNqM5EAWgLIQE+XdPHfLAbRZm678Zj6RoK6Uc33xaJGSyyhqBpIKuL1dlR2Br0I1i54a8DZeGVcDOJrZXg2pcZDcuMr8sxmYlw01TTfdem4I5vcIxkKXd8Tcqxv+YpevHoARBlajATgL8lraYcQFOX6hzctmdd8GuKsLVrpI54NjAi2yTVaFnbvqHgPmiDogxRRkADcxX7yqHIPEG+WCAOFZUHcWhGm4J8Pky9CQ7XPa9Crij3A2/JMRLDQRSk3gS/PyBX0amuQO2WhAqo6ZRptAFgGfnjwBiL4pQPG4C2SifARDQ/vzajrGDEDnP075DSIHT8UYu8aT/wxl1Ih52jRNk3Cnl01mxj1/2EDn0qDkTt0rDn3zgjuHkiuum6H5Q3jaCHDka0FVEjXPXDFVxPu5aGnahdkfpYiWBEPxNK4yGqoIu7SiZBmm4B2QbstpBorZBo4bFeQwwCCzCfT2199IArRybazCoRKp94mB/tGox4CIwkpI4k5pAk8hAzygZGuDqLC2tAPwaADmFin4ZTAKwIzcaGv5ZgREcccCyJCyS/FuxFi0LhGk/X7hkg4nBR8I4Jk3gIsdTIs0mtdtiOU4gFO+SJsjCKvEkgepTVO9thDvhc5lR9FviExmCEzrqeTrmSjpxLxn8XSzA1zg/JA0aAcPt5VJXBnl3ErxN8Ouwn4UWStEkHkg1pkCH11vLBNSBu3TAp5JVCneU6pY9FYIexysMaF/eTQKt1IC6lUx2NbRN3V2i6I6QTWXh8dqsDayw8REv+C1yLKHfzpFbIVQL9kQTZXDptJ2t7SuUZVvDApNWyH7tM22+c6RqM5InqRmJfoDtuSEjiI1txgQW+ZVekJS+QsCTFDEwNNXGKjzXUiEoqhLixuc3a2k/SWLbjsw0RBGqYuDxoCm4+Em0UuinTfkJUvqnmnaERBQocjBRMvtivXxg0rSJ1C9AaIEe6vu3gp0QPbrOxccv81NvQ/USj3V3vbBLtrtJL8iyWdqsAvbPFTRuNLawcZ4zAgorC9BwfP6LjFN1WJ+QF5mHclhoTpySqsx12m4ybS5iLcrTF1keqUEme9UYjL7ALkG1N40vM0c4jynmTtYXy4q00vMZckxQybSckOGPE/gitSSa3IaZem5ndCeeZUBROdZ3t+hQUz6J0+uZ1DzMBoqw3VGcs7lS4V8QfulJnldnNJIn2utJ0H44lVLXbGSOhHMtPnKGekU1AjUPGLA1m/sCdcDEdeX5eUabYmULr3aWU58szcZFYo8Zucrh5VLeh4N0Sd9cYS1pvM8rFBX13TLJwCzHVoxz4SKp8voJSZwcsV0KOgdy0NnqSFuuXG+i7IhP1mmoy3R3rrV/X6xlt1O6YPFtpqOGvaaLyJi1OmsLtJihvF0uRaE2yK6NN1P5G7bpeSRukv5b/ueoFjFNwuNbYbGMSEnmRgh1xGNha60dvLHtWUSH84R+ajlJpn5U7G8uV+cAIAtBa7gdOw+iCq9hvHkgmG4lDGIV8UUm/LXi4Q8/5STh2mV8334u30kBfnKSYNjatClDpSPf8bBeGXch6l6CmO+rcXett5E1361GegkFaVIa4yipRYERRFAQ0aJCYtS3YC5DpBDYNkkkcDYzYBbfLM1e7IiRSpnV1tiT2mcItPbgnVd4i3Mpfe7rjthzv5yUf5mf0g5TXqNEvSchLSAKVrK3oh1mDwIhnuduXEYsrR4ILaUOSmzZl2ozqNhjRwk0wEpiCmweM2Bp3C3F0CUZIMtlAdji5kCS4iSTartegDU3+pPjkPycYt9SrX+I3rSLDz+1imTFRXs31Rqsofxt17lrcu6Qf3Tx30O6mk2T627wSVD/5OxSpfpB+KMosaxzCYDYhBCMutt5SFh11mB/O9NBwisUgaxJs6cem6d8WjEgpt8g0j1KbYuxbaYQoS3EnFpm2SjCP8ogqYL1mnv1EkVSyOhvX9TJ4XS8DBcu+dumL5fHZiqLwX+7g/l+TUaBbxMCmcwArEqmFrqrU0k9ilG0sH71ItJcElnLQ2Af3sBiPLBBGwyl6wRBlLLh8LIajQqPG1k9yY6XFqCawzTA0+jHyAtEMGVdwxx291J1+gzt2mXf6bGiQV9z/Fv/n/O8/YO5dXHH/Wya+mHPdH2WUyAtkjk9dz48bW/ZA0oWLl2x+/fX9+/fv3//5/3n88YmTpyS9NtzunFrVBU7pfj8wSxqJchRFoB9wmJ8UU6Ghsh/XmKGex40PTXUw2lZ3usf9BKIfpaGOVpD9mMxEU16MtvV+cJvI9keKcnG64me3/GLnzp2HDh3a1to6b/4CrsWy5cGDB//37XcuvPgSj0Iwou+T9EQU2KGuHwpoPWME2moelbgmydQQ8LPgHG1rsjY8spXarqeRO9QNeCL9Ndi8ruAylkVzWzwsaHo9tbHpjTfejKKIYGjuUzZj1ux3t279+uuv3926tblluhqU4rNb8V02Uxub3njjDd6hL7LleOOZs8/ayjt8d2tzy3RrOBWfS0Y1NDXzGWoi6FE2Y9Zs1CEB6XfmZTQiXM6QhilCVY7dlKkNTz75VG7//gMHDry5ZcviJRfI8IKi4pt+/OPt23d89dVX23fsuOnmm1OFRRKaM5DQDfmM+S88TOybKSe/dWtzy3SIZfDnasFRZ23FfykaK5dSLqJkIXC8836RmnxRMOwsb8oVsar6lIvyivvf0uRsxuW3jZ2zsqiyZsX9bxVV1oyds3LG5bdp3llJdqKYKl/8oxtu3Pjqq8NGjEwVlQzNHP+HP/4piiIYJfUxb5qK1ZVrYmrpML9lTqIfYoaYWnTRj3zrSJmmwDJDf23WKAnWNFTD1hKn2M4Y0S5TB7ts7Gl8FtYBdjzSKIq0xqyg6G+bNt14849r+g0oSZdfedXKI0eO8PAoivgoRWXlEydPyWbbL79yhcHBwfF+JH496EdjA9jtoVNH7PTDtfprUIiiCKpqFEV+EkXJw7i7mTGSdEQJaqN4CF7ATDhHW/jrtWvXTpg4KYoi7dEpp5/x2a5dUxoai0rTUxubPvts14mnnJqMUxSRWLt23YRJk6Mo0hhF3OHUBtQh/nVvijIJUmqGGBeIGYoOd+066ZRTk/MxFCpZu3bthEmqQ6l0URStXbtu7PgJJWXpE046+YUXXvzR9Tfw8Dt/+9tnnn32uBNOLC4tO+74E5566unf3PnbLpE0GCLUxjpVfBvF4ts46eRTeNSpp50uvqiy+JH4XDCqAT9ChAT/2lBghI1bTsYu85tWe8PnQFk0lJc6hJb26D9+/jUX/Xrtivvfuvg36yYsuLa05wANVsSB+XiIAiO7d+/uN/AYKJ3XfP/7UHk1BQfbdiwrkLgAMToxBdcFgpvHp5taHPdg8BCjH5z7YZsqHD1GH6hxYO1H133NREvWgXbZUExaNIpivAmUygswgqU8iiJN0y+57Ip77r0P1iy+YBlorNS5fsy4ba2tNoqC1JkPAcBIIJL2AAcnFuEWmm6XaQhGuK3WFNzFbexEu5v3Huj39iZtmLSrPFBn2wqk8PJSefn8IaO46+57Vq5eLftZc821v/v9XXrPTEmDxrijKNIa33X3PStXrZbSuebaa3/3+7ts/BpTbzHVKIo0KYczBB2qD4iE0iAkqkPhTH/xy1/6LJCQYeCgIZ/t2sXb7N6zp2//AbLDfgOO2bV7t8EodHWWQ5jpHHfdfffKVaulvMqvl/IvavVqqfv8kS8frVpNcVQCKw8lD/Ep8wkjQegUjFnszb7JHfddevoMoKpQeYkQSlLao//4+WsuumPtivvfuujXaycsuKa0R38si8S0526CGjo+zeVyvfsNgOFC5YnlBzgIb5k5a+Orrx46dGj37j33P/BguqIKjhVFUY+eNf/5Xw/lcvt37959xYqVXKy1P2pQj7TMnPXmli1ff/31Bx98+L2LLoZavPiCZdls9tChQzt2dCxZugyDEU15oRYHURRV9+LTyMlpOD6ZjseSG9O3bts2om6UPKtkeF39u1u3yiFaZs7GUQhfgLH2796954qrVjo+re5Vc+fvft/RsbOzs/Pzz7949rnnG5tbpDpPlx1++OH3LrrEoteYmUh84cQWGDVev2FD/ZhxGuKQYMQD6lxUmv7yyy9di3cONDAyduLkdevXf/nll7v37Hno4Ud61PSWjafPOiv+F2DPnvsffLC8qtpjoUtZFEXjJk7SowQPWbJseTbbfujQoR0dHRcsWw5ttS8U3OAhdMass+QXdeHFl8BHPktFUdSzpvd/PfQw/+ZXrFyVJ1GEF1auvrqjY+fhw4c7du688qqVEnpEUTR+0uT16zfwyT/8yCM9a/qQIJ4h0TMFUcFjQcwxgIXf1tp60qmnyaiTTz1967ZtCl9gVdWFm7KYY4DG21pbTz71NBnFO6TafOQNsxQUwgKfBToYoaJD0fjkU0/bum0buL2lwKLXAAqLGTIxKPMo2lDeo1fN3r37eONdu3b36TdA0uHefft99tku2SHfR86VATpuOYRkyhJWwG+DhalTTjt927ZtNEgR+UhA6lP454JR4noa+UiTaQlGCCIkgUPP+Qkdt8wbdo434WJgYy3K6/iUg5HC8p4r7n+rsKInByOuMtEE2nM3zxogt4oe+fVv7nxt8+amaS0FxaWaseWyonEMsVJHX3zppYmTpxQUl1b26Pmr225/6OFH4BBRFD351NNz5s1PV1b17NP3N3f+Vtp8hTUAGGlonpbL5c49f05JecUZw0dks9kpDY3cok6bMbMtmx1RN6qwNF0/Zmx7e7tu/JPdtG0atKG5JZfbf+75c0rLK8FYzPHpddff8Itf3ir7+eWtv7ru+hvceIZxVImImtzQBBYnxVjzF6Qrq3v16febO3/r+nTd+vWr11zTs3dfmiqs7lkz++xzXnzpZT6W6HBuaXnlGcNHZrPZKQ1NSJ3zZPj5FjCS27+/rKIKwhNpkOPGwk2PGjN2W2ubMQRYbxSf6M0tW8aOn1BcVt6n/8A//fnP//XQQ5J1vPjSy5OmTC0sSVf1rPnV7bc//MijnqDtb27ZMnb8xOJ0RV8Rxa13y8xZbdnsyPpRJemKUWPHtbe/J98lEoyYZ/g1TZue27//vDlz0xVVw0aMzGbbpzY1Q2wdRdFTT/913oKFFVXVvfsNuPO3v8OaHsLGHmELFy9py2brRo0pKa8cNWZce/t78xYs5JoVRdGWLVvGjp9Ykq7oO4BP/mGImy0FAM35T3jY5uDBg8WlaY+yV//2tw0bNhSXpQ8cOIBWBaVPBzcYyHDZoTz+9ODBg8VlaY+wV1/924YNG4pLRYfA70sTbd4mE3cIGscd4hkS2I9xw0usYkzN0McyLRqHhAU33nTzb3/3O8ICj9Af/+Snjz/xxNDMcUUlZbXHHf/440/cdPOPoTp7Yt1F5WgTGkXRJ59+eujQoZ3vv/+Xxx47Y9hwOdbBgwdLytK++jbK4skTdvDgwRL+zb/6tw0bNpTwb178pZSUpj0iPnJp+sCBAxzHEyTTiqf74K/A8Sdc6A2fw6Ze5tUt7ApJU6np8SPpygH0AFqPMEistjiz22fhpZdf8cabb3799dfvvPvuFSuu8mhgByP6WMrYlqQrPv/8c8enMqU6iqIlS5chWi3CNTDCCxs2brz08iukBDdPn/HXZ57hn33Dxo2TpzY4QNx5D6a/NgtiGpaxXH0s6hJWe/yJH374d48GvNu///2joccdnxA186/PPOuAxckoipYsXS4UnDmEuiT4/PMvjjvxJMFJ0E6cuEMhwdOmz/zrM89qrMMhlm0yjjD12mF+33zzDQlSWmMNjBSVpidOmdre/t6KlasgGLHR6iCKouEj67gYuYT26tNv167dmH4EvFBWUfX551/wfqIoGj6yXh4SIqN8Fm7YuHFKQ6MvwpumTecTk4kimoJzHrJh48bLrrhSWuaWGbOeeeZZ6J2jKLpg2XI3P+wG1/Vufv31KQ2NRDRuapn+2ubNkhsMr6uX/Lqmb/9du3djHqLWNn1YoIwEKcUxROrI0aNHSRCSIPXaa69tfPVVlio4evQolmlrSnVsokWHaiytwyBVePToUYhBKO7HE7/3MRhR4n706FEahFR1WHD06FFP8Ae15QSn1kmAYIIRGDVr9lkdO3dW9+zF2xQUFb/yylr5I/vlV15JFRarKBVOIZp47L//u27U6KKSsl69+8ybv+Cjjz6addbZ/NHRo0cJC2gQwsnLRzQI+aNXkx9pUZa0Qvy5SBA6/pjl7qzrvbr53umzIbrVlZf/L0z5SEjaU1qvmHKeFL34EQnCMeMnbNi48dZf3QbTSwC+UI3TFVW33X7Hjh07vvrqK/7t//Of/4SeN4qiXn362jI09A65BnV2dvbuN1AOka6s/uijj/gMc7lcaUWVDC+rqARgRAq35UIGOQ3Nend2dvbpP1DWpCur+Fhcef/37bfrRo9xfFo/Ztz/vv22zDzBUUG6svqjjz7WNLSmTz+0lcan111//ddff71u/frbbr/j8hVXDa+rlzPs7Ozs0/8YV+Bv2KG2XOkQ6thYh6bOudz+0vJK5MpFQf5H8uWXX779zruXXn6Fz0ITjEB7zg1UUFgMDXskckjKK6tvu+PXO3Z0wH8BpIAGhcUgdUR551xuf7qyWtLq8soq8ShuDBVcKm9nZ2ffgcdIBa+o6vHRRx9DEx1FUU3ffkmX82rC7dMgl9tfXtVDWu/yqupcbj8RP/PDohK4AinQjZEoYnPcGhjxaXDw4MGSdIWsKSkrP3DggKmqNlaud8hd3sGDB0vLK2Q471BbK5Mz9LHj9mN0gzb7qBkSRoJQzVC79jcfGAlhjSdOzZ45a/Y/PvvstNPPkKudv7nzzr8+88wJJ55UWFRy0imnPvfc87/+zW/yj6XxaxKEUxoaJOI4ePBgabpC7IFMlaT55MP4i0qXS8HlLhtGyTnLR+ZYGiHhBYec++/u5EvoqS10wkVQlK0ZIw5hrpBgFyq4KvhxYHzkntRrYpzqB2pEeO++/Xft2s07dEGChwt13yOPP/Hk/Q88mDn+hLCoxPVJUUlZLMRGWkg3M0Y6Ozs1zH306FHeZu/efaXllTK8rLwydtlqeVC9EqA6uwnTsI9FGNf97//wuttuv8Mh7PY7fn3t93/giPXG5BlSmV8hzmVVlxe7NDhm8LELFi2+/qabH3/iyc7Ozl/c+is+SWuHcpkRnfxH+AF7vMPQDkZ8umHjq3Wjx0r64RLqshRqTFS4zkN8Oxjx4ut6VQ0vPP7kkw88+OBxJ5xYUJL2CCspS/Mfs3EbvlwJsAzvZ+++fWUVVeKVEKS5ZPPXRpDiLwlw7W8sytYvKtZrEcXzpl1Rg2/71ZP/cvv3pyurZM5furIqt38/p7HcM6p0wLgGZvhRM9VPXjEMG3OdbW1rO/HkU+PEPhqcdPKp27a1+qIf1FivQfMhIuuutbXtxJNPkY1POvmUbdtaPQC7VYYfJ9GWDgOY7iY75Pz6pJNP2dbaKpVXMlzC5AxFDfzI/C4bGngkPgf1/Lnz9uzZM3zESDjW3n37+vYfIHvu06//3r17lV7jiUGhJODEvtKy9KFDh+Jvo63tJDF5wuJvQ/9cQejT4KRT+DfPeJT6yCpKG4uvN8bQ3Bffj0eowyZdxE6f7jetdusWwGNUkVmOgYYQXF8RElFQsqhnjGiajhHH9TfeCF8JvfsN+Mc//gFXKY8cOUKClNbPF198UVZRKeczfdZsLtmyhquq9Soc0aGiJS5h69avr+5VY10jXbd+fR4wAgqW682iKIL+mkuVHAtvpeEpemzw0NqPP/6EhgWf7vZu9QAAIABJREFUfPLpkNrjhAuOZyjyQ1RGtrTnSkMJvMEdpfFlTjjx4MGDXOXXrV/fo1dNcmIfdfHtNigLkIiMEZBwctkVV9519z0wfPEFS23pJQqnyEwP4yARGmeM+JRnXKgawjwWfvHFgXRllRTlmbPPko8ikWfiCeGWj9atXz+loVFurpFgROZxd3Z2FhSXukCvfRauW7+hZ01v32DcEIzAGhcex2rLD+FgRIY3Nre8tnmzS2icoUHQtsZIz9mw6awg0RECI4wEqbvvufeqVatlVJzSoB/ZagEjnkiWgGPRuMNVsg1P8LCGw6VIAmcIbjrnM1y5arU0tnGH6GhTeRaHZcdjJEkLABrf+e73vjhwoH70GO0K3b379vXrP0DW9BtwzO49e9QaqRpLSqdl0DFjx7e3v8fP1ePfhhxdfL2MP+Kfi6DUGia/QyOKmgdRyUQRcXYKJUHoBGMvoNN/4E+8iJ4+A1Jm5LJNMOLZQLZPjUDETMxCFEUPP/LoiaecGhQUnnDyKc89//xtt98hobnr0/b29vPmzPVjkY2j1q5bd8NNN5dVVJaVV5517nk7duyIUPo2jWz0g89HdBjCR5OmTH3hxZeGjawrKC4pq6iaOfusl16Ol+maprVsa20dNrKusKS0bvSYbDYb2VLFXV2CJdXRqTcaq7J65llnx2Pxrgjb8tZb111//Ztbtrhgz7qMKiwuTYMoV0RxgYtNscDWG199dfHSZf0HDqJBqlff/jf/5KcbX32VK+akKQ0vvPjS8JH1BarDVxJP9cN6jcFI/CgoKHxt8+brb7ypZ02fknTFZVesOHz4sAQjCbsiA9eeMRLw3A9X0Gou5ZFgzWvXrbvx5h+nK6vTlVVnn3f+jh0dEnGIgsrVkzXNLdO3tbYOr6svLk2PGjsum20HjanHwr9t2nThxRezVCGU4MlTG1586aURdfVFJWXlVT1mnXXOSy+/AuFJpG/ASU7NZqFPg4WLFre2ZUfWjy4uTdePHtuWzc5bsFCCCC01O4JghNnwBRBKjB1SPg1OPvW0z3btmjy1IVVUzLOeTzjpZDMqUuuWaIhIbqURjWWHBahDtOUddwiPKFEzlLAiqUN4PBPvUJNO/m3EHVI1xJprrj1y5MiMmbM0skFYcM+99z773HMnnHhSQVHx8Sec9Ndnnvn9XXdpqXV4rJCw4Jlnnm2a1pKuqCxLl09tbMpm25ctX84F9+RTT9u1a9cUPHma+LlOInHUqeZHVjLNBBhhKMNPGnaHnX2DO3UFO21GMP47QIvNjBECWYfuuG3rlq5N11CHPpnc0PjkU0/t37//yy+/3Nba+v0f/JAVFMGo6TNndXTsPHr0KBTKvgOO+ctjj+3bt6+zs3PDxo2jxoyNjA04LmHahcJucocOYRMmTX75lVcOHDjw5ZdfPv/CCw3N0yTQWLJ0WTabPXz48I4dOxYtuSDSM0bUVQbya4FUx0HpgMS1jNUiwYjj06uvuebw4cNXX3OtizoMJkyeYouK2TQHI9Jo8/fHuAmTHv3LY3v37vvqq6927Oj41W23V/fqIyUYd/hiY3OLVaYdqbPAjJtgxKVBSXnFL2699YMPPzx8+PC21ta5CxZhoJHnUMDYX3vgul6JQcTmGgVG+h0z+C+P/fe+fTn+L8DoseOE1dXBCMi2ph4LL1i2XPxVdixeslQwk9g7nzl85LbWtn/+859AKKnPwomTp778ylr5RTVNmw4ddxRFPkt5aFdkvmRtGhasXnPN++9/cOTIkZ0731+5ajXEIDKfD4ERsO+G5/OBlA/qBykN3UBXPn3mrK3bth06dGjr1q3N01rgAqb8lRBFEcxSIEaHFLhy2GHTtBZzJ04s2QAumx1C/K3NUL+cl6osDrAQasxQREW2Pz161fiElqbLf37LLR0dO7/++uuOjp3/9u8/K0mXExr44g4BH3wb0gWfN2fupk2bOjs79+VyGzZsaJk+AyY+Tp85E00e+H39c/H3B2E0ND4yiPJp4ItPqti9wDI+oY4z6dLC06cFky91R8x3PJXOgTNGFCZ2Pem4fQVGFLEVLtu4wka35/Duc2zGEYCW7t6IMq9EcLUacJMOpBYYX2gbFE3mjvaja7TaAP2iYLuVBq5Soih53bsUXAU9mOiHOfF+Gf0F4BIm+pFtABgRUagfbJkt+de44Fgdt668gRRlx2yDGoM7eSXR5ht21KPAI8z11fU08jhWZaIVTgmkrca6r99KI603bCyAhl7wjBt43WQt1sJ9jaKA7ey+YNxxIRBRgcQpYIM7hgyQaMvwLhCHuW6pgRHajXCYWmfjKvqSJlG0wRauTDTKMwHXr0AagwgJBiNqdLMxVWP5SSejGtjaoDHWw1eZHkWZ5yMSbd9UiXafqxmaIBvmaEOIT4LQ8UZdEEy7Kpx4IR12LsQg6IwRaz6fUcBnjNjawL2L3eiwGwXQj1RnozEEPvo/XfwUQI1lEiHEIKbRlj3jNmZU4g71ODyWYOYCKXck/QAZftojrQaGWwokfyGBkOQ7uq+rxjSABY5BRAGiEopqbAVP1VBYMNVZqHygF+SBJKIm725GWRPkcdPy9FQ7IbEcqK2IhDxzVT/Vj+Aafa+5KMiT/+RdNrBgJoqY4RT0Q2xtFIm2RQkLrz6XaAyPuANTNcYiTAMjPg6HY/kU8aI855dK7EDAfDyVfy0KGkqWUXAsrKr6WMwoiCEIFmXIysEMA/G5gnjtF/9VOkHzGnf8hf6IeeGYpUn6qLvXbymv7reJcnXlpWD05CjV2IDmiZ8CbxZHBZuU60NYCnKZ0SiQpCg9s5sYE1PyKtuYomy+CdQj5abRKawJ4p7vFNbkzTUW4c5zjjbkIRrIth0kYr0JATBuoLzaPTUyireJdZY/8rpz/rUI7xJSd8lD4DZ0URA1QJQ1KTfP+UNReaXTR4ppnEzC8kZRLcr+bvBhwTiCg1rk3jxDw8xBNve+2z9XQpSe3Wwefwqwg+0cbQo+F1GDUluU3jN4kUCVTx6LqTZEew9px/vFQzhkwvfIGWeRpqvcEfOQtUQ8RKxAejGjcOGaJNJHDDR8kA6o7DDMFKTJg2J1BlFYQxPXNnXcjMxvHludp2CaaDtgcY1BzX6M+QQO0R+JxuYN7ubJf4HIwwNHtoooINwye08cN4j7cewGOe65K8dtVfkuz9pm2hl+rjpPlcoCusJGRHmosTxGlYMR6Z3FI1zwccHTKYqqQQoONrgbBZnYJymKBYxgQmKqPLUppsrnk/BEgJGUKpjqjMONfL6EO4Lt4YhswBeAT9Xpd7axQhwOlc7cMR8aM1SMAo6lizsGCBIyEAujkCejYrLBGwvAYsEpKEoLRyTaFGXrWGa4TPEm6GgRtCvS8Udd4M+8wRu9jJ5xFnavRCmmmR9izRgBOuvCfixXsH9LDGLh16qQtBAKHC7F3hkKpWHYk6230jUbv3Yk9Za4GcEKOB9Nr9UtB5r5VUkgOBfFMMgBEO6Yg2sF1yyY3Dn+30TYnVem83hwlIjtxdhaTxSB1tvDRltEWW85gDxEijLm1zJceecQG23VGKuzXa+NR9RnKZ+FoiZUHCMJnlgLJhjBKYMKO/A2ZsG4JAHBiiQwYjpuKJ2JhES/VgbtyQRRvrUxs0QRfayUzig0p2wbKx8YAe5earrk1/mjINnQIAxOB9Su2WXq/cEAtqZJYAQZdhGlCg6dcR0bu9w/81xv7DKgxcQQbmKRxcTGutH+V2S6i4JtPlayYQnXHsX/IHHXo6Dc6zWaL9auD3b1cJvRtl8NLFUeIg4o5ULlVT+Ieju2KPAIYGtDym2EBNTI8DyN81lvHYwYCm5KuW2fpAWIK5wCVJ4hHoL02n7Uqu0swMAu5d0hJMk5f0kFJO5dNbbqta9xFRbXdNkhuu/G5Bgao0iQewxY7I0RSTBQCUTJemNrFNWjiCWKWaNMigKigq6niht71igEWJiYIZPY2ieiQGFBD3f88Re6Z57jT77MHT7X0FldcAWagN5Z02sLGLEJt5Wr2BcDXe3doB7pHtw1wi16bcEOJqPQvLxOq2VjY3clsUzewNYwe8/ox0LGpbvXOsTzgdBDuXJJNuSgkpA40ERr/hrKq52r/Ov8GiX2JWuxp9UwoMUSg2iX/IJLyDyK+rHecuARphfwbWSmFuNTWE1CkkemWTej4FKkLVxKHtgniQ7UFuGB3iFMkvP1R+ZhfmaUnXEb6sws/Wg+He/J1goYsKDRdZ3VRFCQBHTYSL5bYCC1EKMTy8SSokzoYYxlH1SxDvFXifm15WvhBccfMcedfr03djk5ZRoUOP1WmthWx4l9KI1PRCVkjBBzFyLwj8QldP7CRVEUzV+4SLwJmOPHW2mwzlops/TX0GgTW+M815JZdB++AFwENJQ68zaRtjGdMNt6oynlBLlguVwpw6WbxquUDrzvRlHmuMYBhh3QapLopnVCol+koFtvGjhwd4yg5/mYia+y9wC2zgdGsASrXewelHs9UUTItC2fzxO7bFyl4Ip6YwCN+pFi6upmXEWJzeuBZ+QFYniSdAMO1XfiWN4WClvnOWxE7bsJtILc6U7B+SH25UHZs0rxJlRLhdYBC9BrEcU8S66eofJKlJXOqp2TIUj+AxhEqqGRbAfyMWwJJwI36wAab1WXeYpash3QWcug4JAQjG5MkA0KaOMl/FySokCc4tPAIc1r2MQL6bBzyLjvQJ21KK+8laaiV+KtNJ5tK408bETzvOJNcO99921rbb3n3vuwmAo19O20OpJn8tn9tUWdNe6s+XTzQBJZiPDJJC5+68iZGG8m08JboIep8thfK+GO+H4ZodeOJsE69YY1kE0ryxyJ+2IwD8EZ4jY2HaljQ7494+YFTLQB/VApH5h+YIpC4SN0T40X70nRdZbP2RP5fFYeYoJsBbtFlE2UrYKL2IsWFUWRfhd7HuqN7rLRrW7+23492RgvD0byQBItHRAMwdv4hjpHUaSn6IFf7hG8eoYaUWAs7B/VeU86QYYTY0Y4TlNBtFqFM59YwAhOSmFqDwsiyAHs0LDMItMDppcInYU0Ri57qo/MQsJ/UqCxzKmiOTsFk77rjF4WNq4IRpwHZdE8Y8Tx899KQxyfwsNX0QqkJTlaFXbs2DFn3vzt27e7YCwOYaIIHr4KdV/sSveJ40OgQQRA0Iw2zcOUDcGlchQXvx6k8pqMIn/BzFexSrnWs8ZDInFoib0NMNpJ+NtV65bUiZVXhncPaPyrYMQzwg2jnaeAXLknHxk3r/NHkTglCq5JxsYWowlgqxOzSqwcw9NgRbf5tSfU0JTyvJQ5/m9bRhk8xM46pPlVOIUywszzTKwFZn0U4YO5NaEEUSAc7eTMD0bA6GgfINDZ/FwFnTfdBQ+xEhKcVYLGMnmIssPJOMWq4NC52z8OjuJ/X44/Yk7hrB/4Y5eRU6a5wPwil61upek3ft6ai+54Bd1KgyUYXdcrO5THhhCGanzSb+CgXbt2eYTt3r2n74CB0ERrf7rzyPHN+2UIV64oih56+JF9+/Zdf8ONzzz73L59+xZfsFSa6EVLLti+ffuhQ4fastmFi5dA6GEZS4i7rHSBB+fcYOz4ifHdKLv3PPTwI9W9amSb+QsXtWWzhw4d2r59x7wFC0E4xM0g4cQ+DSXBK1at7ujoOHz4cEfHzitWXKVJufH+iP21rUNlxiN0zc3uK69ayR+pj2yI8oJFi/XPJWQaPuIcTEowvBznwosudvmOR0E/oijq0av3fz4U37YTTyNZ3M3PJY12ZF5Y06u33EqTfPUM81noEl24XcK2bts2ctSYuE2QGlk/6t2tW5WJxnIfgdNCfHF8FeAY4lYacBHPww8/Ik6kYh5hM2arGV508SUe3rIYxZfjPJTbH1+Ow4Vy5mx1fc8DD/6hoqpaQo9ly7+zY0fH4cOHs+3tS5ct54rgiSP3+B+dKcvjomy0GkSFAiXHY2l/pFS9uWVL07QWLu40SI0eO27rtm0Uh+MCtN4mN4D32yoXTKWJ1hXTjKLaWH4XYyHE4asa5dwTEvsMMKLzkECL4gXHn/mjovq5/qkt3tjvQXU2LkonjkfErTQ94K00Ehzz/GuLPRfhsg18EyxcvOTRv/zF8elfHntswcJFqo1BJDSgEYH7ZWQbdb9MuuLMYSOy2ezkqY38JRFFUUNT8+SpDVEUNU1rGTdhYmtbm1TebDZbP3pMYWl6RP2otrZsQ/M06Ge1aWhgPYrNL6p5c8uWMePGF5Wm+/Qb8Mc//fk//+sh3mZKY/P27dvHjp9QVFo+vK5+W2trLJd4g7vWoZqGwNaSaM9ftLgtmx1ZP7qoNF0/ekx7e/v58xboq4sINytaHWknk4C7IqMoevKpp+fG19z059fcSAmODDAytbF5+/YdY8dPKCorH1E3in8u3mZqU8IjnzY2t+Ry+8+bM7e0oupMfjlOY7Ow1THiePLpp+fOX1BeWd2rb/87f/tb6Z09xbhharY8RjXE1htcc5Ou6Nt/4B/VhTW0adp0Po0ycfXMlMZmD2QKWlnH9Tfc9MtbfyXMeHDrr371oxtu5BQlEmee+EAEhbhLMKLwt5S8LVu2jJuAb6WhgUdZU8uM+HKcyuphI+qy2faGpmYfcPAoip56+mlxOU5/fjkOCVIvvfTy5ClTi8vKe/Sque322x9+5FFfzDDb3j567LjS8oq6UaPbstnpM2che44ukUHCDUQZAATNTYPjWJOj2IUXXfzf//M/Mpvw9jvuuOGmm3CHIB+cmdoXM25xGY3I1ZN3I4AZWjOgNb02VgV1lOyDvfgoEVvNGabxCUKSwNyNsewyDb9eJzV+uTd8nj/p0mDY2V2CEamz4kRs6K8JXLfUo6zJGz51fHrf/Q9cctnlrk8vvfyKe++7H70AoBpKwCLCo0i/sMYlVNzeEnOV5hZ1v0wURWFhUVhUwgupopLOzk4uylEUTW1skkI5pbFp7bp1EF9E+lFQiGNE6AJfwmuGjRgpRbBn7z67du3ijdeuW9fYPE0+mtLYFImTY02KotWIb0Pmq1CXBJtff33y1AZJPxqap722ebORFmJknqgjW23bI0l8zQ3KGAG2OsI38Lo0WLtuXdO0FtlmamNzJM5cXbtuXRO4cxI+2rBx46WXXymBhnE5Do3iO18wGDE5huDgHqEuOCMbRGkX1jB+YQ2X4A0bN152+RWyw/jqGZNE45SPzAknfvjh3wk/I5uyv3/0Ueb4E6SJhkAD1kiwbuKUiN9KI9yrvJXGD8KN/HIc8d+tnKEkJFEULV22XIFRGypJV1Z9/vkXnrggpqGpWS48NjZP27hxI28soXmk4IliFJJxG4gjLggPHn9RSMqNjJHSdPm+fbm+/Qf6lPks+Ojjj48/8STBlJFUmQl5GrWAKR9CuCk22nqOnQ2nKA319X03ibtjCHol2PJDzLGMV4KJgKxRjl+/yJt2LR29hJ42I1F5sS9G0MPQdKD1sb92Pd+RPAT5YuL4ZOfOnSecfIrjkxNOPqWjo0NbnIyiCB47JdmCo1g28vKdnZ19+g2QIJvf+eJiwy7teSRIbhRFpeWVktiUllfs2bNHCGUs94hx46QU4MHV5QYsVShqKGyzd+/edEWV/BJKyysjDEYshAS9G9SLhItpLpcrq6iKZ0tYWUVVLpdD6hy/SCxGO4qPbIXZIOpRDb9SRyWTKBIdGWBk79596crquDEJ+F0QHn7EG5dVVMnwzs7OPgMGykflVehyHK6zNX36ocXJJMYN0ksidWq2eCSvuaFiBZJIM846Ozv7DjhGLleCq2cQ9TbXEt9++51RY8a6hI4eN+F/334brS6a640gPIoizwZGwsISLYqIGfYTl+OQIKyo7vHRxx/DY/miKOrdtx8BmYIeDSqqqm//tX59jwQjFVU9pBqmK6v27cthnWXCF6OkPapdMAYROYrS7Dk/LJsSTWcpu+vuu3943Y88QseOn/juu++KsRCjsL4bEmCFlkxi1Vn1HjLML0tS3q7ACB4LvnXEomLe1BF7lA2MzP5xQd0c/5Rmd/yFSWDEBWRD6BqU4DgzD4ERa5TSYl7j9z9msAa5+h0z2PWJ6xH+w1/JGRRuH4mgQuRJd75AV+4pew4LpeUV0uqWpiv27cuBdUICwYh6bQAMkqfGxfBk7959ZRVVjk9cGrg+TVfIa27MPG54g3sgwQh/5MSsg+Ry+8vEvTm8w1xuv0r+4/0gwaWuzzemx0eVxvkqMXIhmiibeu1Cey7OZd27b1+6skq24Z8LPSLyUZV8lHA5jkrsg++GWJR9tYtdHeqkahQYcRXZYMh6C5wSiTXAhKtnxFg0cH2qlivBpvMf/PC62++4ww9Sd/z6N9//wQ/hBTGcq/CoIFUobbVUZx/cL6PjFJGZFwnIYJ2h4AYpKO4gHZA98eRTDzz4h+NPOLGoNO3TgF/fI8FIurJKami6onLP3r1C6VLITasrUazJfxoYUXOWF6nkjUqdceaw99//ICgovP2OX1/3o+vzXBCTkGPHxFgMTNWaxqdja4bGYtaxDFXlUdpYalCSFI6i7GPZaIw+lhOM/w4dcT6bdIk/7FyoqgiMeN/CaNvsOTUK8aNFSy545NFHZT+PPPqXhYsWCz9LHHmJjMzRBsnaR44coerCmjgpZd369dU9axyVz6dmGAlXHsUgAhUampql4E5uaNywcSOUYDyWBtaZ6Md05crqRmLBUIERnzo+mdrUHJlgRM+tjqHHkSNHaJiSuYN8dA5GRKYgbWhqFmBE5ZAAWq0yRkSHBS5MGTRptWgMN+nwNxA02hoYaWiaJtusXbeuEYAR+Gjd+vU9anqj7D3onfk0uHSinD/pnQWtRrts6JEjR1iqII4S1DuKIo8wj4kjAPGFNWIpUqR4q1dCYvqdR4MhtZmPP/mEpQo/+eTTYzPHS5nes3dvj5reklqMHDUmUvkqsQQXFJd6BB30KtvIFTZZs379+p41vY0DWmm89dHIx+CFLw4cKK+skkflzZx9trS6URQ1Nk+TaXMNTc3r1q2D9EOBEZ0ps87OzsKSUrjwCAvxEOL9IfXoyJEjQUGh6gc499dff2P6zFkfffTxcSecpFRMkmi4s1xlLqtsa9P8qnBRgC4Y3vmC3h9Mr4nBCNxZbh2LoqlKcVeJfSYGYcagoEYbCxYcb/j5XsNqb+R8euo0KKaJt9JoEmzQagRG4sZ+UuMHHvzDhRdfIh9ddMml9z/wQGxmPd/Ft9K4EFvLRywEPYvbW0ZY7peJAA8BYIQ58fJje92oMYXFpcNG1m9rbW2ZMROqMx+LiLtsNMctPbgLajTWIds0NDVv375jzPgJhSWlw0bWv/3OO7IxxCAOYTJXTz7Svg2XMIewBYsWt7a1Da+rLyopG1E/ui2bnTt/gfkCkLqvOqRBe/t7582ZS4IUkHIsynIaNjDiKJzCGpqmbd++Y8z4iUUlZcPrRsWfiwYOYY3N07Zv3zHWeOQSNnlqfDlOYUlpurJ61llnv/Tyy1CduZ03krURGBE6G7jiTKj29vfOnzuPhgUwNTt2vmBNkptxjzB+9czwuvqiklLr1TOwH0+QFv5oy1tv/ej6G7ZseQs2fviRR//05//o039AUUnZ2AkT33jzzQiDkb9t2nThReAGnKALnAIvx6mo7jn77HNefvkVhR1QCqPKJly7bt1NN/+4vKq6vLLq3PPn8Ot7pOfNtrePGjO2uCw9sn50a2tr87QWIjIXuUZEGuIQJHrTpk0XXnxJkCoEYERlcUQw/xqEt7e/N2fuvKCg0Id6RBkJwuXf+W5HR8c777yLo+INJvxXhZWHiEd6ip5MU4HaZxdBY1WQIPwN8kzyRmmajhpLxGGqs07h5XKltZ/Qp8xhjasLxizyTj+LjFlqByPAxirhjves+0iCPZQx4gqnbKMo8aP33/+g9rjjZU3m+BN27nxfHBPIHJ9Mnzmro6MjvkQG6z56pIw20+98aZoGYAXK9YbavWTpMp4n197evnT5cpAurY8l8UVk+6Olk8PGcuVw0ZIL2tvbDx8+vH379vPmzD18+LBLdGytBBcoL7xSR2509Giw6uo14paTnVetWgWVNw6X/BpvnMEdIjctahQYSfzIsRkPwOfacX78uWJNX7RkKXg0Tz7yaDBRuxxnWgs02pFKB5T+Gu+BVMKtiPaMWbPl50JgROaiUAVGeJTt6hmVHyIRh2ssRa655trDhw+vueZaaKJ79+v/yCOP7tmzl9+bM3b8xAitN7JhI0a2ihtw4AIdpOceuI6WBKlJeIbNLdO1LA5pz6W7HzBoyGP/HV/fs3HjxjHjxktqEUXRkguWxkl+2fYlFyyV65bWv2UIRoYNB5MH6S7JUaFP2YxZszt2xn8pOB+cFZemP//iix/dcEOcZ4IpM+/K5Aa+cQMO5M6WKGB+deyQZ1VQHPchFVyetEeNDpNkGr4AuhwL1Fg20zt0yhX09FmFk77njZzv+Io/gIvSE3gIqHFBgQeKGnVzDSYbRN2AYxp20NjkKhKMyL05Cf1QeMmOq3yxJTyCaMJ6b46x3cbWD0rIg4+0bTtwHXXg4GOz2awGRvILNxB3dSsNdtPJBdVPnp2T+bY+ynAp5WYbl9BjhgzNZttNe+766pGnhRNMPwjgIRiMYAwCHbdK6JY4xYMFQn0W77vRJNgllF/QBRtLVKJtZ4eq6uuarg2BcAoBGAQWXKMGNBZZHLDAQl8QdvSr3Nh0LhsbP8YR67AiDs3zGuF5G2Nu4GqwAkcFBYWffPrpccefgM1m4PkabRCrgoA/GAUFNDAU5t45f44dfKS8czLjRo2tXMVHydpQlAPfNsOu3h+h44+Y4zdeTccuZadbMkbwGSM2QgJYBz5jJE9jCyExGtuEW28cF8BhVbhnY51QReGtmBFYXRRtqKtvmDS3UMIDpFDGiCbTWtLeU0//ddyEiUWlZQMGDXn8iSfWXHutuRUTyqsaspxNAAAfyElEQVRVuBOlHGzAgY0d0AY4bm17pKLVuoIbogw2uMeFp57+6/iJk4pL0wMHH/v4E09ec+21sk38qCw9cPDQx5948pprv59Hr20KHrp60l7gocaqRqYMameMeGKDu6fpvu1kEg/khyQ/kidr/9/ezjS4quPK4/fevssTEkh6ehIgwGCDbbDBOF5AaGFxWLSChDCbWYQkHG+JCWvifMg+qUmchDhV4zieOJPJOFMTT1IVx1UzSZyQMRZgGMhaSE8JMpIzVTNjwxPE9QAnVXc+9O3uc073ve/BzITyh653+3T3fYZ/n/fr0+cUuHQO/WsHBGvH3lDXL0OaUraqPNqFOyudZURw9fuW8Ba7vgEEoI+hSIJRBH21N/g4uajne0HJBz/05MlTp/QQb9jQ8G5AdBYKrkh2GhjBiE4biODiuXyss3roiADQIpmfC9PyxYIR/P3Q94qd1PLbD7Gl/f69XSUr+k3eNMl2jYU7gXGbcu/JT2wyhUnBbV2C5SOzymN11gM89D5M3UfXLrjTY0bDbkHdanRR3ibmAEl3rOv65a9+deXKlWw2+5GnnnJTE6CYEt2Hco/RNiplALQYetyQh/BxpChDdSa6j8JLrOhU0BP66CmZxlK+tlO+1/BHnvqYV1IqJRg8ypJHmkyTkggob5RwqyP/Wnyi54QidcV82lCajqL39OIGcQquazEcp7CCe5pMyzhu/X48yigSI+604fOAbsGLS6gWI51Fy4iN7E5w2GmoH9oSFLE1SXkYhudHR+vqGxABoJPq5iDzhp6xD0kekmmkxZhsGC860rwfhuA/40aC8qmaCEkyGKFWMrrRct//WMk97ROaP2SriJEE4S7QkGxBwQoZ6kek3PiJiXrjjK+KntuuR3TWxkoH4sHB+SeJU4xJ4gpuYPKIQ7oBAPqBrcxOvWEjASqf/Ai41TJoL7r6iPYGG5T9NUuw2hJU8B8MFLFMHMPAwQkYMbre4BFfTwLroFVpdGbCp0CCi0E2MfcFGPE1KYcusysewXE0K5PyekxYYTACEUdhR1tZMQRGqMsMkvCJhqANiZ4p/Gdvu5iiUCul6TA0WzzybYI4xHrwXLHXUgqsUL98qMVjJHCDJJKQCE9Mj/CA8XMldaY7QVLnYkL94OtYbPEmd/WTdv0Od/5q6kgWCtGjwoSc6GLMdTCSOLuRq7g4z18i/jZUj+TmevC4qbNtMDd45bZ0q4EXbFRn4oMTbzrak+LjwREhMQAN6DvLrLCoD9VrMA5R+Vh11o40DRwcNSLEUUTaKcxDVDyfCvkgvjNUcAQ0FAbRzYlbbaiqroERmNUvkO4w84g6630SOkc6YnykA/EE/xrpvkGmMaOg5gHx91VVGp2ZxDrsOivXgvY8UQ2A+qHGHYU+ErQhgFDYCJf5HUhSA5eZ/GIPTRE9cqnDrpYqWbkL5pKvEwNGYgFLzHvp1DuwgrYDdlO/f8+6VNN2E+tIwBfFQGoTrdYfmcg4pR9FThFfWdiOXaohpwfvY8c3TOxFB9AGc0A2iHDjCD8m8rKKBqTVmJBEj8RuEXtcqXvKakA39uDR0sXUOE6cBF9nA9Jq9SgqJ0awNQn1U+LuRI+gXoOcq1LBMQ8RCi774EY8GEnkIQFqmDP/QSk3jZOQFDA2BaBPSAvhKkBngzgwQj8xQXNQhwUpOIOoBDVIn4CRy9nIXOmsjnc1K9JAkic0FAi3eVKks4aG2ZzwkHgrAFgSpVw3F2DEWf6Bsvs7S1Y+6izekgyyKYAu7DKbNgDTJzZC5FLgEvYPsB4onQzdoEkG0LKPnSDuhvgQ5E1DT1nIIkpfRUh0QgiKFlUCYqINyksiT7T4a9dsleiVc0dbYBAkppKeewbhRkeRPqLexcATNy5Tq0d8Z5lqNUblQcMnzAQVD7MJtuYeNIAVXBM1kK2rs7GhgREq04mdE2SaeuW+wSuXSULAXK62VOm0MqKqMihFJgkxHCqaUrYiuKx3Nh21GbOMxlACPU6ZaSiZaVb6MnRxTwAR+lzQ3BQEgs09nZ4nQg88qb5m3sdyFm1yW/b5TTudhQWr0qCobV15acRIoQBBOybO12CVVLpMPUKDQHFXuUFEg2wtYuRQZB0xYxB9Q3JhA0o5lVes+2oD0MNCiMOuBZMgmSbfGxRl4rDbBsYNG75FNV2JuxUvuCEskiA2AIfItBGnSHOts1Bn7HEXr9fU9cZghHjlFFuTeD7ZgF65DOPjDV/rHAdGkuJDks8t5TIM8deJqCQGJUPhpndh0CcUTehHkYkRI1SCoXkyJUAg23DwmAh8GcbWiWEYAehMybiL3GFyVyiOpxfwneMpvM5DDC9opVo+zJY97C7qLmnaRkSZKq+qSlO795u/KKviVWkOSwnmfWJTAOpowlF5Pwyut+7zFtHgnZHyFmMlOosNwyN6bR6Qut6Uhxg9d6M6xzQQM4nZCaJHPE4xHowYeIgN7stoCg4aRmwtfPlQ3C1S3v31YBB5E0fjIShNoIP12hFyD60kKsGdE/QaOdoGcY/4NcIpmpgm8BDKr+PYNO2TgEFU3o94QgKUVycbus4ypEckYkT7hPAQl3yij2MaGXUWP/xFRIRqUBXTBTcuei9g2hSyEYorkcqJLoo7q6WG4r4lmLQQ2dAISfL+QV4Q/o6x3MYdqbpN/qrH2f0bIsXElxih8hqq0kyeRfoYbro7sWAEuMPYdza51Tbpoxo++SSUBWu0+EJLxJlA5xceYGJaTaQcAQ0QH+IK6XSFoy0bcVrsgXGoN21rj+I9d3q7kgiuNJdSDhthGEL2YslUq67Hg1KUEENmAuBJKNKoYuGWcYEEenhEuEOUxLWYGG1UeoaoPBRl5WhTTUdVeuUjxxT8R2m1J2r7ykZstDVoeNonMQ3mJQg3HCduLhRsZxwZO9EKjGBCEo2DuYrGOnTIQGU6qaEzCmYw18BIklV8ZB6AMMUJLh4HzxWGofEAkx48arA77iQzeR/CP18Ci93/oNP2FKvb7C1sg2HXSnmB4Jqq0tykJNjF7rnUWQeEzUknWi9ToMbxLeZ+/fnno2qQjmu5/jde+ObXn39eCqipiIxyY0OVshWp8979B0T1lpE9e/fBvUHiBRvHKRq5jVRnoZj0KNJmbmf3hn8/ffrq1avnz4/29u+GffbuJ0VkXEsk6vun77508WJO1M3J9fT28QHDMOzZ1QdfGZdECMTCAhtrulajR3nlpveKtFhVihkde+SxxyG12NXXn80OX7t27dy5kd6+fgPZEOpsMSjTKaMEh2HY279bXpvu7eu3WRSrF4ahDYqpQ7daX7wZZEOg4fphXFUa13dcb//BQyMjb7733nsjb77Ja984fomgH0DBXd8WEX6Ta6c9+7XnRkbezOfzly5f/tGPf9La3iFVXitzE41DrH7845+0tnfw6L0ptdOefc44oO/Qmi8cMkR3u8nipc6GYbgCvPJ3X3ppSu00LZ0e8spHx8Zunj0nAtmuxxs3z54zOjbGO3eu7z6mytx8q6q6hq+HLF6+lyAAWg4/MWn3gxtP838po6P9ux8GuCBK9BpV28mNv/32O/v2H+A620lr9CjIYFihABrkD7TqWt995syZq1evjmkD9vXvjv7Oj4z09e8Ow7CoAEFd01UfGtRYjBVvWG7bx9ylO5y725ymHi5eNjMoL3+EqtKkpyzbsm/dk4eROwyTrwq9jrxgjWjbjnCH6b0b13Jcv6TsxBtvPLhps8W8jZu3HD9+wi8plfIaFZGZVFFX3zA0lI0SiQiZDkFeVrkl8PJdSxoaSydV1DcuHR4e3rx1G+YPZD0IjECKoss0OYrs6OwaHR1b3dxSVl459475f/uNF+Rx5bYdqohMtIyHttliKypUN2dZWXnlkobGoWy2ua1dXYFhAFAA/7q5rT2XG9+0eUt5OnPf4rpsNruquUV57oJLkKs0zW0dudz4xs1bytOZ+yOrVj54x7quoWx2SX1jWXll49Llw8PDMWBEHjyaTiBBIwzDbHa4cemysor0koamoWy2fV0nhjYGiiI5eDy/NnwSyqo0FenpsiqN6zuut71n11A2W9/YNLGyqmHpsuHh323dtgPEkPgRthZpp7icHT36+qGPfHTq9BnBhLLJU6d1P7hR5LTyWts7SJmbNS1tXMq5VS22YnLAj9JH5LgyFHlIpKe8Qyx+UmVV49Jlw8PDW7dtZ6Lz6TNnlq94YFI6g8rc4ChA6bkzL3jxO9/ZtOUh7JV7m7c+9OJ3/pELys9+dmTl6jUTyytrojI3LzHwbdROn5EqLZtSO22Deq9YL9hxvc6u9aNjY80trRXpzB3zF3zjhReIeIW82s627VWZ6mkzZv7Ns886rtfWvjaXG9+8ZWs6w7/ebHNrm7SKCvGUV9ZMmQpXSMAIFMq2jo7cOB6wpZU/WtfZlc1m6xsayyurmpYtHx7+HffTY44Qi4jnS1Bn0jClBbfcpl7n3i72wKPsvm4DktZvtYg8f5ZjjiFB7jlDVnpnfd8LwcnhtBkzB4eGli5fMTg4VDtjpg2s1rS0yqWubo6KyMjIk1BV8vWkcEdJSgVgaW5tf+PkSSLBoUjHCvXaQvmv8daChFtZHTt+fF3XenDsqaCHLCLDPxFFZKLZebmcMAxTpRNTZZPy+bwtjhnXtLRKMCLq5ihmEooE1nAuUaMnkvL2tev+5V9/ZAFND1G53ohaCKsoPiSqFCMGVBVwXK+lrSNyzxGATowYYcjR5ruUNF/T2vb6wABgJjpF8YxgBNMPT2tEqVajqjSu74iqNNzq5KlTq5tbZOeW9o43Tp4EZ5IGjuH4qUuXLt+54C5JosHhZFTmRnbuWNcpi8hcunT5zgULCeLgnvulS5fn37UwFoy4PkO1ESLzU6dOrW5ukX3a2jtOnjwpO9fVN0geUhsV4lGHXQp2C2z96ONPfPFLX3Y8PzN5yttvv1NemWZ+6ukvfumRRx/TwzBUmRuxeOiwA5xiOELkVsePH+9a3x3HQ/iu09e/G1sFAwMDT+7ZI5nJ2ujrNWhoOlN96fJlB9BqLrgRD3GjzgMDAx96co9UTDBgMDAwsKa5RVKUtvaOMMo2VRBxwCCQgLlx6f3ixjFvdRa7r9tr3uM27PQWtsQqryEDFNM+iT+3jL3xqIERba6mZSv+/Oc/Ny1fAccJw5An9eflDqIiMmDkENSykeA4l8uV81IAzLWYV5HO5HI5EOqHiDDEKRbIdq3TauKnc6t8Pp/O1EjplHzGZryIjKyA41dW8WX4FkjZamxUpDNyaylPZ0DdnEjT9SjAfD4/febNcmGVmRpeo0dSC2kFxDSysqO770Fk5QW26/MKOJbQUFhfRsordNgTIvwk4pAldWwvqKjKXLx4EZwuoluRxK3mi6eOtuAqDgQjooxkMGGig2fnFCWXy1VmamyhzpWZmlxunOi13AAcAUY+/olPXr169bWjR5/56lc/vG9/XUOjENMgn8/fNOsWqbOwzA2xWtLQ6LhR8lXTgJRfYzCSYl6Qy42nq2vkXOlMTS43LsFISelEiDhCWoEXeNOez/zU/LsWHn39dddP7dm779Kly4898UHH8//ttdcWLLybeUFVdc1X9TI3foqJ9zqK3ktejwQoACt4Pp+vnjxFrlDHBSGvtoOdTfn1cjWsqq75wx/+g7vMMStUshji9H6eGHDmzbfISTM1k+WAudx4VaZGzp7OVIcgYqS4tHzJITHUSvyKUjsK7GM5XR8vf6AntbDZXvGI0mKYyc9hNrws7vDCYFwflXBHMucwg3sesQ7GVQB2RiDCQZ15Y+/+/aOjY3v37QcDsjAMyyur5CcVlemLF3NSBGURGVuhEs9mbi6Xi6xc32JuRboqlxuHK7RB5RoL048Q5I1Se4Oi3hSM5PP5ykyNUHAg7o6by42Xp6u4GtquV5nO5HLjAMsop9421s3xApt5FemqixdzFrgeKcUdVLcx1+iJtiJRk1cVN4h0NtbKZt6FCxfL0xkp7hVR6Rlxh95NjPAzNFy5FXHYXZHOvHPhAsIgQoL91AQFYaDgeoGDLp0rkE2kXA0oJFhABi83Pl5RVS3xd2VVdW583KEpAEV4idLQktm33r5jZ88nP/2Zl3/4Sj6f/9KXDzue78RU25FBhNzqU5/+zA+51eHDTAQaqkevgAGjmrwSjESSJxdfWVUtXGY/nanOjY8z1ZlLgzInPETCZe5xM88fe+utoGTC2cHBnt6+M2fOuH5wfnTU9QPH9X74yit/961v3TF/QVl5BfN8WObG9VOzb71tx86eT30meq8vHz5cUKHy+XxVdY0QdyyCQYrFRNTF1Ojx5QrvnL9gIlohIi06QU4Y8MLFi+mqjOyczmTUgMWQ6PggQs3KFXqd9I1Zpct67HvXe0093j1rjbF6tub8GhsynCOhNoJOSLhki4AN6rDfe/+iX//mN5WZ6l//+jf33LcIWjW3tkmrVWtEERnxST6fLyktg7PbAowIeOKtaWmLwAhYaggDuh3FTKLiOOh2jCQkKuBECDcFI9IdtkARGf6JWgbAMtKph43m1jY5jqybI13mfD5fUjoRHDx6tuu/dvRozdRa7kQL5xfFX4tqO+gRL9FijAt87ejR1aA0MAcjyIlWnTWZRr68LwNOWtrapafMGRfX2XfeuTB56jTZua6hKcTHjH/605/81AQ7JlBEyL1C26GoQYM/8RAY8Xzb9Vs4rQLBfzL+GnySwo+8Oxbc9e6779qux0S1HRwEIhuItCgrLfjvzgV3vfvuuyTkIxRghImjUQlGuO/c0tbOwYjra/V2RVVMhkSQBgj+4OWXP7xv39mzg8zzzw4O9vbv/sHLL3P1uXxZlLkRR5HAaUWh2WLxCe6nDkYMkgcEV/mqvEaP0ery5T+mqzKycxdaoc94cZySCcRKDGjwi48ePVo0GPk/aZgDRRQY8RdvLFn9BKvb6t8dX5XGAEY01iH0MT75Ks2sDcCIYScom1QxlM3W1TdajruksWlwcKhsUoXEKdlstr5xaemk8kVL6nkRGTjy8RMnHnn0MSYK1vC5tu/cOTg0tHhJQ+nE8rqGxqFsduu2bWphGhiR72W7UQUc16dVaUBoNmp0rOsUx48Vt8+789mvPScfySIypZPUMhJ4iGxks8P1TUtLJ1UsFnVzIBg5fuLEI4897gYl8izRkjV6ltSXTpxUWVXduX4Dr9EjYvV8WJWGC67l+sKqoXRieWWmprNbWbW2d5wdHFy8pL50UkXD0mXZ7HBIwUh0PqHxEN82qSp/r4amZWXlFYvrG84ODspqZLywy7SbZpZOLF+6IirsAs1l6Rl9ZMGvUYZVYu6AMuc7dvYMDg3VNTSWlVfWNy0dymYf2rYdxVYDVi4d7YFjx3r7ds+6ZY6XKpl+06zP/tXnBo4d44ILi8ikqyd3dW/42ZGf8wEHjh3r7eufdcscX7MaOHast3/3rNlz/NQE8CigYETKa5BiXrBjZ8/QUHZJQ+PE8soGvvjt2+G9G90cH2DSGz37Dxy8/Mc/8hK6H//EJ//77bf3HzjI50JlbjZtjsrc+AHj79XfP+uW2X6qZPrMWZ/93OcGjh3D3qLhqsi6zi5+/DipovKO+Qu+9txzROVDWtwgYJ6/Wn295Znqyeu7Nxw5coT34SusMq2Qm0fFcUomxA5YM3n9hg1HjvycP2rvWDs4OFhX3zCxvKJp2XL+d56wDv53/nrU+brOLVHDstsOTVi0Pnhfq738AxyDIOV1pJyJX/cEX2hoOwaMeDYRZSdCHPof7rB/+8UX//rzX5Bs4fNfePrvv/0PEoygIjL9u1W+QNe3mXffosVnBwd51Qz5yHH9AwcPnT9/Pqresv+ApBbGZcAfB7B6i4zshhmgENp2XMv1u7o3nD595tq1a2NjY6DMjWt7wYFDh1QRmf0H5AYgNgwzGOlFdXMetkQyPzt65Tr5ykCUgwdWrkY1etrahb8f2LTMjbLClWJebWnr4G9qe8Guvv5sNvvee++dO3du565eos7pTE0Yhr///e+Ljxjp2dV77tw5HuTX09tnC6BRO2Pmd1FhlwfkIrnyktIzCnqIhlJnWpUm8srlJywoOagq+5zff+AgysKKrrOrFIArVq7+3ve+f+HCxStXrpw7N3L4K89Mrp0u9XHlqjWw2o4oc+M9sHIVtPrKM89MmTaDu1dkwK8888yUadMl0ND/CDWki4fhJbIP/UQ7HpRWSxoawzC8be48Nyi5be68MAyXNDRxq1mz56AyN8uWh4K96O81NXqvAjnqujc8ePrMmWvXro299Vb/7oeLASOun1q5avXPxdf76quvtnWs5Y9unj3n+9+nK2Se7zA32iRAcRw418rVZMAOKZR9/bvF3/mRnl298js0VcAJ4FxwzaaMfViUTVY637eCxofsezrZike9e7uMsXq6zmKZlkzABEYUZKDUW+MPLhkntjMovEs620wxCurdF3sNXV2mt6AWo9s6BRzt5DSqeh/S0HNU2ej8U/WRodmkAfNGRZOa69RIqyjmz4JAA/AQ/sUSxIE6C3V+4sk9V65ced+99yWBbMJMXONVmkh50S126k0bkq8iUWaejW48BjZJCiioN4i/DmyafVsH2epeu+N6HAhg6h2w6OZk3MUZvQaNDkZQ/hAGPGXVAFVppBXxweG/fz4OBCP4wmQgAroNVlGBGPFFmZQFzu7p42A90q/Om/xQZvBMDVVgkhoJ4RxEMWHDcBBayNwkuAWXQa2MoeseOIoMLHb/RnfNHrd+u3d3mw5GRI6RRMEVLBjmGMHYOskcNwrEmaiANvDINgyobwlKlG2mzQ44OOQhkk1LwALHgWXSoJTbVIvpOCTdIM4kRe5AotNFcshJJFh8ovSaCjeDnenldSHcKFsImCJBgn3JVX7xy1/29u9O0GtHt4rrQ8JLtGjrBGwN/OsAOtr8kUOiAM01w2jmP9CAJ5BQ07k5Tt3n+syTZEOdZLICeh2XogTqrHGcALMOQ45svBPgxNwAwrCYuYC4UwirIfI4MTXcWY8HCAacUjR2uDGmfF2T3jji0BowE4B6xHBny205UNa41bu71WncZRWls64mVWadjaHeRU6hNYDvHKKwa9c2FZaMHOTYvQHLdHz1yEgcsXArTIS8aVNxAwb1mlppHrcXGVIFV8wE0hhd3JXrnSDTfEng9rlSZyalXF1Mt8z+Nezj43FiA7ETYrRjG8X0wa63OoqkJRG0YO3IT5cZsaF5imq6FO7Ct889qX1E3LUGkWnpywd4HO06u2kuTdyJw061GO8NahxjXDCJZADjFKNitLPeUCHMxd80+d9L5w3Odd2NomvQmGUa/i+wgsZt7O4O//2POO9bZ4AeDrOBeGlgxMXMJE64PVMctxrHLsBDaGfNv/Yt5tpRMKJxI6HvZVNCoji4edtQnZGY2rQisGL3MPgPNsz+NR7H4E2DR7Yu947kIQiMQGxt45HVgKqWDU2siqXcFTXdgS9fmH6A9XjykwRvOhX1EZ0d2khIPyJStjJQXwa41ZGC+wHfiuC9dlTChlaloWBEhBVGkzJZ5Bd3BlZ6bhChmLgYjakhzF0KNBzPd5grxnGlBMu75vgyi8k85g6krs5oHGYCIyZC4kDRYUapKgAQ7AK0IaahEIdbvNzbJghTWGfFFPb1zKUWVuwLwoiRRd3uyifYkoe8+auE6xqndLp/DbzOeAfZTvDKKaOgOgs01FPedAyAhn6x4ZEORugmgd8LJ922TZkISR/jFACMSMX0dFGGt891bzouH7clEj+BcXwwDvKvpaZTMdUICW6YKUpxjRtxq/kpn8avA6LOTgI80Yo9Rt60JBsInkh3GPIQwlUgIVFWAHooNGE8KoxOqCIJDrA6Q3c4+l3MPAJYtEpjsDMiG9R3Bo6bBkb8qLM0N3nB8nc6AiNaZ7+Qxw3HKSaP3Q2DEd3DRY1Cfvr/i6NdRAN9LaYfIgHzfMtf9XiqbiO7p9Ov30b4w400KBROjOPWg7V18+IadnGdEYm+kSk8SxdukzqrBhNx3Np/kFqIhnzkKcEF+wdXZ4kvUBI+TDYsZI6hh94wiDKQe5f0MXQmRFs0NFGWjxI+iaPVKFLQFxIsGwFu6NlcjWAEZmENbIKtSR9KtCWkBo/8KD9qrGTHljJAA6oGhxWGZH5AMUFnBq0QTglYZC77pMxWNB0rbHhwUqLXrsEq9vd+nMoXU6vF1PhLWhW1AZh2r4J9wHro16usLLdxF7urtXRZD1u0MVIfjDiKQNLFdGb0kUlw7fhxaB+qql78OJ42l6c1CqizLtMSTWDAgpcBlFcXZWKuDYjVOVblAU/XFNwC5ram4BZVZyrBWuV1I+zGvrNC5FKLRWfVoKpq8rij3SJZghP0OjdvXm7ePESieR+feNzmamTx/JqHZvtMbACoIaIJ4/4oc5N/jWQ6Num2DzrDhgAjcKnCf0zE6GAcz3fVhWlMNlzPVQNizxRb6Z31cZhWf8vY50aU1zXNVXAck1XBhuN6N2R1I/uHtLKCxRu99oNB005/4Rqks4Z4vgLYmjda2ztGRkaimGijufJ5r8+pF5HdHtFimC5K/tFQiafNZXC0wzAuGawu3K7U2QMHD/3k1Z9q9MMHK1SfwJNMvVJlS0Xlidmz/2vu3BOzZ7eWV8hHFX7wdG3tb+fc+p9z5/52zq1PT62tECwVO+NUXuGALeWVUK/vmFD2zzfN/MPtt2dvvW1XVUZqMRc78p8hyBoJt+6DmzT9xs4bscoDHuIZvHIROiIkG1m9+tOfHjh4KJaHIOH2VSVf7Ho7IIhQnhNC/J0IRhQ4tinrgH4x0GLEXmgDWOmBIlTcTZ2xw047G84tY1gH3VFMnUmjSDByA1Y31vhLzgUnJfE8cb9josb/AKQQrY+hLPduAAAAAElFTkSuQmCC" alt="" />

回到OllyDbg中程序运行到断点,即NetpwPathCanonicalize函数入口处。

查看栈中的参数,结合网上查阅的NetpwPathCanonicalize函数信息可知每个参数的意义。

结合IDA Pro分析可知,NetpwPathCanonicalize函数将在地址0x71C44A9E处调用下级函数CanonicalizePathName。在此处下断点。

aaarticlea/png;base64,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" alt="" />

按F9继续运行至此断点,然后按F7跟踪函数。查看当前esp内的参数:

esp    [esp]

aaarticlea/png;base64,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" alt="" />

其意义依次为:

  指向prefix,值为\x5c\x00,即unicode '\'
  指向待整理路径
  指向输出路径的buffer
  输出buffer的长度
  WORD Flag保留字,值为0

从这些参数的意义可以大概知道,CanonicalizePathName函数就是将路径整理后,输出到预先分配的buffer上 。

于是我们研究它对路径做了哪些处理。

在待整理路径000C0F50处下断点。(待整理路径的形如:"\**********\..\..\***")

aaarticlea/png;base64,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" alt="" />

按F9运行,会中断3次,第三次是在调用msvcrt.dll模块中的wcscat函数。

分析栈中两个参数

aaarticlea/png;base64,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" alt="" />

第一个是目的地址,指向一段以\x5c\x00开头的内存空间;第二个是源地址,指向上述待整理路径前两字节\x5c\x00后的内容。

因此,程序把待整理路径全部复制到strDestination即0x001572F6处。在此4字节设断点,类型选择"Hardware, on access"Word。

按F9运行,中断多次后停在内存0x77bd4d36处,通过栈可知此处属于wcscpy函数。此处调用该函数进行第一次路径规范化。

aaarticlea/png;base64,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" alt="" />

这是wcscpy函数的代码:

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" alt="" />

分析代码可知,此时wcscpy源地址在edx寄存器中:

aaarticlea/png;base64,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" alt="" />

指向"\..\***"

aaarticlea/png;base64,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" alt="" />

目的地址在ecx寄存器中:

aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAHkAAAASCAIAAADwq+aHAAAAxUlEQVRYhe2WsRLEIAhE+fT75PQp7npcECKaxFtnCwYQ8eFkIiLyPQ9qgYSsyXpDkTVZ7yjA+tMsGFLO1vYFS0G/0082H7ZnVfZDlawtOnG7CzpoOzVH8lunM5gS3AWsVbuRU9X1LF5xdtfyy9/QFNbZ6NtZl6j/vZ7KOmJb/YzkP4t1imb3QVnjhNdTfv/ceH6W71NYD/Z3I2u1VnL/r/+Q1MZ1rNXw29BgT7AU9Ps1s/lWz3CXE6phTU0SWZP1jiLrdfoBlj6gQ93ypTUAAAAASUVORK5CYII=" alt="" />

指向待整理路径第一个字符"\"

aaarticlea/png;base64,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" alt="" />

可知此次规范化即把待整理路径中第一个字符"\"和第一个"\..\"相对路径之间的内容抛弃。

第一次规范化后,待整理路径形如:"\..\***"

由于还有"\..\",还需进行一次规范化。这第二次规范化才是玄机所在。

接下来移除0x00F0F4DC处4字节的硬件断点,直接在wcscpy入口地址处下断点。

aaarticlea/png;base64,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" alt="" />

Oh, no!运行中一直没有停在这里。学这个漏洞断断续续用了快一星期,当做学习OllyDbg的跳板,这里先跳过了。有空补充。。

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