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一·流量分析

buuctf wireshark

从题目出发，既然是上传登录信息，就直接过滤post请求，即搜索 http.request.method==POST，因为上传用户登录信息使用的一定是http里的post方法

模式过滤

http.request.method == “GET”

http.request.method == “POST”

http.request.uri == “/img/logo-edu.gif”

http contains “GET”

http contains “HTTP/1.”

// GET包

http.request.method == “GET” && http contains “Host: “

http.request.method == “GET” && http contains “User-Agent: “

// POST包

http.request.method == “POST” && http contains “Host: “

http.request.method == “POST” && http contains “User-Agent: “

// 响应包

http contains “HTTP/1.1 200 OK” && http contains “Content-Type: “

http contains “HTTP/1.0 200 OK” && http contains “Content-Type: “

一定包含如下

Content-Type:

流量分析&日志查看,web安全,网络安全

（注意大小写，wireshark是要识别大小写的）

将这个post包导出

流量分析&日志查看,web安全,网络安全

在最后一行即可得到密码，将其包装为flag，此题结束。

数据包中的线索

打开流量包，根据题目的提示筛选出http包

流量分析&日志查看,web安全,网络安全

由开头”9j”，可知为jpg图片

“9j”经base64解码后结果为“\xff \xd8 \xff”，该三字节为jpg文件的开头三字节，所以可推断出以下文件为jpg文件

流量分析&日志查看,web安全,网络安全

将下面的base64编码进行解码，得到一张图片

流量分析&日志查看,web安全,网络安全

得到flag，此题结束

流量分析的基本规则：

流量分析&日志查看,web安全,网络安全

压缩包流量

flag放在压缩包中。zip、7z、rar、tar.gz里
解法：
1.直接找到流量数据：右键->显示分组字节->去掉标志位(菜刀是前三位)->左下角有个解码为->解码为压缩包
2.导出压缩包：右键->显示分组字节->左下角有个显示为->改为原始数据->save as->1.zip
3.直接导出压缩包：右键->导出分子字节流->1.zip
4.在追踪流中导出压缩包：右键追踪流->左下角选择返回包->显示原始数据->save as->1.zip

蓝牙协议

1.直接查找flag
2.统计->协议分级->找到OBEX协议（蓝牙中的传输文件协议）->直接搜索obex->找到传输的文件->导出分组字节流
PIN码在分组详情中搜索。

键盘流量脚本

# -*- coding: cp936 -*-
import os
os.system("tshark -r test.pcapng -T fields -e usb.capdata > usbdata.txt")
normalKeys = {"04":"a", "05":"b", "06":"c", "07":"d", "08":"e", "09":"f", "0a":"g", "0b":"h", "0c":"i", "0d":"j", "0e":"k", "0f":"l", "10":"m", "11":"n", "12":"o", "13":"p", "14":"q", "15":"r", "16":"s", "17":"t", "18":"u", "19":"v", "1a":"w", "1b":"x", "1c":"y", "1d":"z","1e":"1", "1f":"2", "20":"3", "21":"4", "22":"5", "23":"6","24":"7","25":"8","26":"9","27":"0","28":"<RET>","29":"<ESC>","2a":"<DEL>", "2b":"\t","2c":"<SPACE>","2d":"-","2e":"=","2f":"[","30":"]","31":"\\","32":"<NON>","33":";","34":"'","35":"<GA>","36":",","37":".","38":"/","39":"<CAP>","3a":"<F1>","3b":"<F2>", "3c":"<F3>","3d":"<F4>","3e":"<F5>","3f":"<F6>","40":"<F7>","41":"<F8>","42":"<F9>","43":"<F10>","44":"<F11>","45":"<F12>"}

shiftKeys = {"04":"A", "05":"B", "06":"C", "07":"D", "08":"E", "09":"F", "0a":"G", "0b":"H", "0c":"I", "0d":"J", "0e":"K", "0f":"L", "10":"M", "11":"N", "12":"O", "13":"P", "14":"Q", "15":"R", "16":"S", "17":"T", "18":"U", "19":"V", "1a":"W", "1b":"X", "1c":"Y", "1d":"Z","1e":"!", "1f":"@", "20":"#", "21":"$", "22":"%", "23":"^","24":"&","25":"*","26":"(","27":")","28":"<RET>","29":"<ESC>","2a":"<DEL>", "2b":"\t","2c":"<SPACE>","2d":"_","2e":"+","2f":"{","30":"}","31":"|","32":"<NON>","33":"\"","34":":","35":"<GA>","36":"<","37":">","38":"?","39":"<CAP>","3a":"<F1>","3b":"<F2>", "3c":"<F3>","3d":"<F4>","3e":"<F5>","3f":"<F6>","40":"<F7>","41":"<F8>","42":"<F9>","43":"<F10>","44":"<F11>","45":"<F12>"}


nums = []
keys = open('usbdata.txt')
for line in keys:
    #print(line)
    if len(line)!=17: #首先过滤掉鼠标等其他设备的USB流量
         continue
    nums.append(line[0:2]+line[4:6]) #取一、三字节
    #print(nums)
keys.close()
output = ""
for n in nums:
    if n[2:4] == "00" :
        continue

    if n[2:4] in normalKeys:
        if n[0:2]=="02": #表示按下了shift
            output += shiftKeys [n[2:4]]
        else :
            output += normalKeys [n[2:4]]
    else:
        output += '[unknown]'
print('output :' + output)

ssl流量

导入密钥
编辑->首选项->Protocols->TLS->导入log文件
查找http流量
导出分组字节

二·日志分析

web日志分析

1.sql注入

报错注入（常见报错注入函数）
floor()

extractvalue()

updatexml0
geometrycollection()

multipoint()
polygon()

multipolygon()

linestring()

multilinestring()

exp()
关键词：union、order by、floor（）等

2．数据库类型判断

■ACCESS

and （select count（＊）from sysobjects）＞0返回异常 and（select count（＊）from msysobjects）＞0返回异常

■SQLSERVER

and （select count（＊）from sysobjects）＞0返回正常 and （select count （＊） from msysobjects）＞0返回异常 and left（version0,1）＝5％23参数5也可能是4

■MYSQL

id＝2 and version（）＞0返回正常 id＝2 and length（user0）＞0返回正常

id＝2 CHAR（97， 110,100,32,49,61,49）返回正常 Oracle

and length （select user from dual）＞0返回正常

二。访问频率

流量分析&日志查看,web安全,网络安全