一、前言

今天我们继续来介绍so加固方式,在前面一篇文章中我们介绍了对so中指定的段(section)进行加密来实现对so加固

http://blog.csdn.net/jiangwei0910410003/article/details/49962173

这篇文章我们延续之前的这篇文章来介绍一下如何对函数进行加密来实现加固,当然这篇文章和前篇文章有很多类似的地方,这里就不做太多的解释了,所以还请阅读这篇文章之前先去了解前一篇文章。

二、技术原理

这篇和之前的那篇文章唯一的不同点就是如何找到指定的函数的偏移地址和大小

那么我们先来了解一下so中函数的表现形式:

在so文件中,每个函数的结构描述是存放在.dynsym段中的。每个函数的名称保存在.dynstr段中的,类似于之前说过的每个section的名称都保存在.shstrtab段中,所以在前面的文章中我们找到指定段的时候,就是通过每个段的sh_name字段到.shstrtab中寻找名字即可,而且我们知道.shstrtab这个段在头文件中是有一个index的,就是在所有段列表中的索引值,所以很好定位.shstrtab.

但是在这篇文章我们可能遇到一个问题,就是不能按照这种方式去查找指定函数名了:

可能有的人意识到一个方法,就是我们可以通过section的type来获取.dynsym和.dynstr。我们看到上图中.dynsym类型是:DYNSYM,

.dynstr类型是STRTAB,但是这种方法是不行的,因为这个type不是唯一的,也就说不同的section,type可能相同,我们没办法区分,比如.shstrtab和.dynstr的type都是STRTAB.其实从这里我们就知道这两个段的区别了:

.shstrtab值存储段的名称,.dynstr是存储so中的所有符号名称。

那么我们该怎么办呢?这时候我们再去看一下elf的说明文档:

http://download.csdn.net/detail/jiangwei0910410003/9204051

我们看到有一个.hash段,在上图中我们也可以看到的:

由 Elf32_Word 对象组成的哈希表支持符号表访问。下面的例子有助于解释哈希表


组织,不过不是规范的一部分。bucket 数组包含 nbucket 个项目,chain 数组包含 nchain 个项目,下标都是从 0 开始。bucket 和 chain 中都保存符号表索引。Chain 表项和符号表存在对应。符号 表项的数目应该和 nchain 相等,所以符号表的索引也可用来选取 chain 表项。哈希 函数能够接受符号名并且返回一个可以用来计算 bucket 的索引。
因此,如果哈希函数针对某个名字返回了数值 X,则 bucket[X%nbucket] 给出了 一个索引 y,该索引可用于符号表,也可用于 chain 表。如果符号表项不是所需要的, 那么 chain[y] 则给出了具有相同哈希值的下一个符号表项。我们可以沿着 chain 链 一直搜索,直到所选中的符号表项包含了所需要的符号,或者 chain 项中包含值 STN_UNDEF。

上面的描述感觉有点复杂,其实说的简单点就是:

用目标函数名在用hash函数得到一个hash值,然后再做一些计算就可以得到这个函数在.dynsym段中这个函数对应的条目了。关于这个hash函数,是公用的,我们在Android中的bonic/linker.c源码中也是可以找到的:

  1. unsigned long elf_hash (const unsigned char *name) {
  2. unsigned long h = 0, g; while (*name)
  3. {
  4. h=(h<<4)+*name++; if (g = h & 0xf0000000)
  5. h^=g>>24; h&=-g;
  6. }
  7. return h;
  8. }

那么我们只要得到.hash段即可,但是我们怎么获取到这个section中呢?elf中并没有对这个段进行数据结构的描述,有人可能想到了我们在上图看到.hash段的type是HASH,那么我们再通过这个type来获取?但是之前说了,这个type不是唯一的,通过他来获取section是不靠谱的?那么我们该怎么办呢?这时候我们就要看一下程序头信息了:


我们知道程序头信息是最后so被加载到内存中的映像描述,这里我们看到有一个.dynamic段。我们再看看so文件的装载视图和链接视图:

这个我们在之前也说过,在so被加载到内存之后,就没有section了,对应的是segment了,也就是程序头中描述的结构,而且一个segment可以包含多个section,相同的section可以被包含到不同的segment中。.dynamic段一般用于动态链接的,所以.dynsym和.dynstr,.hash肯定包含在这里。我们可以解析了程序头信息之后,通过type获取到.dynamic程序头信息,然后获取到这个segment的偏移地址和大小,在进行解析成elf32_dyn结构。下面两种图就是程序头的type类型和dyn结构描述,可以在elf.h中找到:

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" alt="" />

  1. /**
  2. * typedef struct dynamic{
  3. Elf32_Sword d_tag;
  4. union{
  5. Elf32_Sword d_val;
  6. Elf32_Addr d_ptr;
  7. } d_un;
  8. } Elf32_Dyn;
  9. */
  10. public static class elf32_dyn{
  11. public byte[] d_tag = new byte[4];
  12. public byte[] d_val = new byte[4];
  13. public byte[] d_ptr = new byte[4];
  14.  
  15. /*public static class d_un{
  16. public static byte[] d_val = new byte[4];
  17. public static byte[] d_ptr = new byte[4];
  18. }*/
  19.  
  20. @Override
  21. public String toString(){
  22. return "d_tag:"+Utils.bytes2HexString(d_tag)+";d_un_d_val:"+Utils.bytes2HexString(d_val)+";d_un_d_ptr:"+Utils.bytes2HexString(d_ptr);
  23. }
  24. }

这里,需要注意的是,C语言中的union联合体结构,所以我们在Java解析的时候需要注意,后面会详细介绍。

这里的三个字段很好理解:

d_tag:标示,标示这个dyn是什么类型的,是.dynsym还是.dynstr等

d_val:这个section的大小

d_ptr:这个section的偏移地址

细心的同学可能会发现一个问题,就是在这里寻找.dynamic也是通过类型的,然后再找到对应的section.这种方式和之前说的通过type来寻找section,有两个不同:

第一、在程序头信息中,type标示.dynamic段是唯一的,所以可以通过type来进行寻找

第二、我们看到上面的链接视图和装载视图发现,我们这种通过程序头中的信息来查找.dysym等section靠谱点,因为当so被加载到内存中,就不存在了section了,只有segment了。

三、实现方案

编写native程序,只是native直接返回字符串给UI。需要做的是对Java_com_example_shelldemo2_MainActivity_getString函数进行加密。加密和解密都是基于装载视图实现。需要注意的是,被加密函数如果用static声明,那么函数是不会出现在.dynsym中,是无法在装载视图中通过函数名找到进行解密的。当然,也可以采用取巧方式,类似上节,把地址和长度信息写入so头中实现。Java_com_example_shelldemo2_MainActivity_getString需要被调用,那么一定是能在.dynsym找到的。
加密流程:
1)  读取文件头,获取e_phoff、e_phentsize和e_phnum信息
2)  通过Elf32_Phdr中的p_type字段,找到DYNAMIC。从下图可以看出,其实DYNAMIC就是.dynamic section。从p_offset和p_filesz字段得到文件中的起始位置和长度
3)  遍历.dynamic,找到.dynsym、.dynstr、.hash section文件中的偏移和.dynstr的大小。在我的测试环境下,fedora 14和windows7 Cygwin x64中elf.h定义.hash的d_tag标示是:DT_GNU_HASH;而安卓源码中的是:DT_HASH。
4)  根据函数名称,计算hash值
5)  根据hash值,找到下标hash % nbuckets的bucket;根据bucket中的值,读取.dynsym中的对应索引的Elf32_Sym符号;从符号的st_name所以找到在.dynstr中对应的字符串与函数名进行比较。若不等,则根据chain[hash % nbuckets]找下一个Elf32_Sym符号,直到找到或者chain终止为止。这里叙述得有些复杂,直接上代码。

  1. for(i = bucket[funHash % nbucket]; i != 0; i = chain[i]){
  2. if(strcmp(dynstr + (funSym + i)->st_name, funcName) == 0){
  3. flag = 0;
  4. break;
  5. }
  6. }

6)  找到函数对应的Elf32_Sym符号后,即可根据st_value和st_size字段找到函数的位置和大小
7)  后面的步骤就和上节相同了,这里就不赘述

解密流程为加密逆过程,大体相同,只有一些细微的区别,具体如下:
1)  找到so文件在内存中的起始地址
2)  也是通过so文件头找到Phdr;从Phdr找到PT_DYNAMIC后,需取p_vaddr和p_filesz字段,并非p_offset,这里需要注意。
3)  后续操作就加密类似,就不赘述。对内存区域数据的解密,也需要注意读写权限问题。

上面就介绍了完了,下面我们就可以来开始coding了。

四、代码实现

第一、native程序

  1. #include <jni.h>
  2. #include <android/log.h>
  3. #include <stdio.h>
  4. #include <stdlib.h>
  5. #include <string.h>
  6. #include <unistd.h>
  7. #include <sys/types.h>
  8. #include <elf.h>
  9. #include <sys/mman.h>
  10.  
  11. #define DEBUG
  12.  
  13. typedef struct _funcInfo{
  14. Elf32_Addr st_value;
  15. Elf32_Word st_size;
  16. }funcInfo;
  17.  
  18. void init_getString() __attribute__((constructor));
  19.  
  20. static void print_debug(const char *msg){
  21. #ifdef DEBUG
  22. __android_log_print(ANDROID_LOG_INFO, "JNITag", "%s", msg);
  23. #endif
  24. }
  25.  
  26. static unsigned elfhash(const char *_name)
  27. {
  28. const unsigned char *name = (const unsigned char *) _name;
  29. unsigned h = 0, g;
  30.  
  31. while(*name) {
  32. h = (h << 4) + *name++;
  33. g = h & 0xf0000000;
  34. h ^= g;
  35. h ^= g >> 24;
  36. }
  37. return h;
  38. }
  39.  
  40. static unsigned int getLibAddr(){
  41. unsigned int ret = 0;
  42. char name[] = "libdemo.so";
  43. char buf[4096], *temp;
  44. int pid;
  45. FILE *fp;
  46. pid = getpid();
  47. sprintf(buf, "/proc/%d/maps", pid);
  48. fp = fopen(buf, "r");
  49. if(fp == NULL)
  50. {
  51. puts("open failed");
  52. goto _error;
  53. }
  54. while(fgets(buf, sizeof(buf), fp)){
  55. if(strstr(buf, name)){
  56. temp = strtok(buf, "-");
  57. ret = strtoul(temp, NULL, 16);
  58. break;
  59. }
  60. }
  61. _error:
  62. fclose(fp);
  63. return ret;
  64. }
  65.  
  66. static char getTargetFuncInfo(unsigned long base, const char *funcName, funcInfo *info){
  67. char flag = -1, *dynstr;
  68. int i;
  69. Elf32_Ehdr *ehdr;
  70. Elf32_Phdr *phdr;
  71. Elf32_Off dyn_vaddr;
  72. Elf32_Word dyn_size, dyn_strsz;
  73. Elf32_Dyn *dyn;
  74. Elf32_Addr dyn_symtab, dyn_strtab, dyn_hash;
  75. Elf32_Sym *funSym;
  76. unsigned funHash, nbucket;
  77. unsigned *bucket, *chain;
  78.  
  79. ehdr = (Elf32_Ehdr *)base;
  80. phdr = (Elf32_Phdr *)(base + ehdr->e_phoff);
  81. // __android_log_print(ANDROID_LOG_INFO, "JNITag", "phdr = 0x%p, size = 0x%x\n", phdr, ehdr->e_phnum);
  82. for (i = 0; i < ehdr->e_phnum; ++i) {
  83. // __android_log_print(ANDROID_LOG_INFO, "JNITag", "phdr = 0x%p\n", phdr);
  84. if(phdr->p_type == PT_DYNAMIC){
  85. flag = 0;
  86. print_debug("Find .dynamic segment");
  87. break;
  88. }
  89. phdr ++;
  90. }
  91. if(flag)
  92. goto _error;
  93. dyn_vaddr = phdr->p_vaddr + base;
  94. dyn_size = phdr->p_filesz;
  95. __android_log_print(ANDROID_LOG_INFO, "JNITag", "dyn_vadd = 0x%x, dyn_size = 0x%x", dyn_vaddr, dyn_size);
  96. flag = 0;
  97. for (i = 0; i < dyn_size / sizeof(Elf32_Dyn); ++i) {
  98. dyn = (Elf32_Dyn *)(dyn_vaddr + i * sizeof(Elf32_Dyn));
  99. if(dyn->d_tag == DT_SYMTAB){
  100. dyn_symtab = (dyn->d_un).d_ptr;
  101. flag += 1;
  102. __android_log_print(ANDROID_LOG_INFO, "JNITag", "Find .dynsym section, addr = 0x%x\n", dyn_symtab);
  103. }
  104. if(dyn->d_tag == DT_HASH){
  105. dyn_hash = (dyn->d_un).d_ptr;
  106. flag += 2;
  107. __android_log_print(ANDROID_LOG_INFO, "JNITag", "Find .hash section, addr = 0x%x\n", dyn_hash);
  108. }
  109. if(dyn->d_tag == DT_STRTAB){
  110. dyn_strtab = (dyn->d_un).d_ptr;
  111. flag += 4;
  112. __android_log_print(ANDROID_LOG_INFO, "JNITag", "Find .dynstr section, addr = 0x%x\n", dyn_strtab);
  113. }
  114. if(dyn->d_tag == DT_STRSZ){
  115. dyn_strsz = (dyn->d_un).d_val;
  116. flag += 8;
  117. __android_log_print(ANDROID_LOG_INFO, "JNITag", "Find strsz size = 0x%x\n", dyn_strsz);
  118. }
  119. }
  120. if((flag & 0x0f) != 0x0f){
  121. print_debug("Find needed .section failed\n");
  122. goto _error;
  123. }
  124. dyn_symtab += base;
  125. dyn_hash += base;
  126. dyn_strtab += base;
  127. dyn_strsz += base;
  128.  
  129. funHash = elfhash(funcName);
  130. funSym = (Elf32_Sym *) dyn_symtab;
  131. dynstr = (char*) dyn_strtab;
  132. nbucket = *((int *) dyn_hash);
  133. bucket = (int *)(dyn_hash + 8);
  134. chain = (unsigned int *)(dyn_hash + 4 * (2 + nbucket));
  135.  
  136. flag = -1;
  137. __android_log_print(ANDROID_LOG_INFO, "JNITag", "hash = 0x%x, nbucket = 0x%x\n", funHash, nbucket);
  138. int mod = (funHash % nbucket);
  139. __android_log_print(ANDROID_LOG_INFO, "JNITag", "mod = %d\n", mod);
  140. __android_log_print(ANDROID_LOG_INFO, "JNITag", "i = 0x%d\n", bucket[mod]);
  141.  
  142. for(i = bucket[mod]; i != 0; i = chain[i]){
  143. __android_log_print(ANDROID_LOG_INFO, "JNITag", "Find index = %d\n", i);
  144. if(strcmp(dynstr + (funSym + i)->st_name, funcName) == 0){
  145. flag = 0;
  146. __android_log_print(ANDROID_LOG_INFO, "JNITag", "Find %s\n", funcName);
  147. break;
  148. }
  149. }
  150. if(flag) goto _error;
  151. info->st_value = (funSym + i)->st_value;
  152. info->st_size = (funSym + i)->st_size;
  153. __android_log_print(ANDROID_LOG_INFO, "JNITag", "st_value = %d, st_size = %d", info->st_value, info->st_size);
  154. return 0;
  155. _error:
  156. return -1;
  157. }
  158.  
  159. void init_getString(){
  160. const char target_fun[] = "Java_com_example_shelldemo2_MainActivity_getString";
  161. funcInfo info;
  162. int i;
  163. unsigned int npage, base = getLibAddr();
  164.  
  165. __android_log_print(ANDROID_LOG_INFO, "JNITag", "base addr = 0x%x", base);
  166. if(getTargetFuncInfo(base, target_fun, &info) == -1){
  167. print_debug("Find Java_com_example_shelldemo2_MainActivity_getString failed");
  168. return ;
  169. }
  170. npage = info.st_size / PAGE_SIZE + ((info.st_size % PAGE_SIZE == 0) ? 0 : 1);
  171. __android_log_print(ANDROID_LOG_INFO, "JNITag", "npage = 0x%d", npage);
  172. __android_log_print(ANDROID_LOG_INFO, "JNITag", "npage = 0x%d", PAGE_SIZE);
  173.  
  174. if(mprotect((void *) ((base + info.st_value) / PAGE_SIZE * PAGE_SIZE), 4096*npage, PROT_READ | PROT_EXEC | PROT_WRITE) != 0){
  175. print_debug("mem privilege change failed");
  176. }
  177.  
  178. for(i=0;i< info.st_size - 1; i++){
  179. char *addr = (char*)(base + info.st_value -1 + i);
  180. *addr = ~(*addr);
  181. }
  182.  
  183. if(mprotect((void *) ((base + info.st_value) / PAGE_SIZE * PAGE_SIZE), 4096*npage, PROT_READ | PROT_EXEC) != 0){
  184. print_debug("mem privilege change failed");
  185. }
  186.  
  187. }
  188.  
  189. JNIEXPORT jstring JNICALL
  190. Java_com_example_shelldemo2_MainActivity_getString( JNIEnv* env,
  191. jobject thiz )
  192. {
  193. #if defined(__arm__)
  194. #if defined(__ARM_ARCH_7A__)
  195. #if defined(__ARM_NEON__)
  196. #define ABI "armeabi-v7a/NEON"
  197. #else
  198. #define ABI "armeabi-v7a"
  199. #endif
  200. #else
  201. #define ABI "armeabi"
  202. #endif
  203. #elif defined(__i386__)
  204. #define ABI "x86"
  205. #elif defined(__mips__)
  206. #define ABI "mips"
  207. #else
  208. #define ABI "unknown"
  209. #endif
  210. return (*env)->NewStringUTF(env, "Native method return!");
  211. }

这里就不想做太多解释了,代码逻辑和之前文章中的加密section中的代码类似,只有在寻找函数的地方有点不同,这个也不再这里说明了,在加密的代码中我在说明一下。

第二、加密程序

1、Java版本加密程序

  1. private static void encodeFunc(byte[] fileByteArys){
  2. //寻找Dynamic段的偏移值和大小
  3. int dy_offset = 0,dy_size = 0;
  4. for(elf32_phdr phdr : type_32.phdrList){
  5. if(Utils.byte2Int(phdr.p_type) == ElfType32.PT_DYNAMIC){
  6. dy_offset = Utils.byte2Int(phdr.p_offset);
  7. dy_size = Utils.byte2Int(phdr.p_filesz);
  8. }
  9. }
  10. System.out.println("dy_size:"+dy_size);
  11. int dynSize = 8;
  12. int size = dy_size / dynSize;
  13. System.out.println("size:"+size);
  14. byte[] dest = new byte[dynSize];
  15. for(int i=0;i<size;i++){
  16. System.arraycopy(fileByteArys, i*dynSize + dy_offset, dest, 0, dynSize);
  17. type_32.dynList.add(parseDynamic(dest));
  18. }
  19.  
  20. //type_32.printDynList();
  21.  
  22. byte[] symbolStr = null;
  23. int strSize=0,strOffset=0;
  24. int symbolOffset = 0;
  25. int dynHashOffset = 0;
  26. int funcIndex = 0;
  27. int symbolSize = 16;
  28.  
  29. for(elf32_dyn dyn : type_32.dynList){
  30. if(Utils.byte2Int(dyn.d_tag) == ElfType32.DT_HASH){
  31. dynHashOffset = Utils.byte2Int(dyn.d_ptr);
  32. }else if(Utils.byte2Int(dyn.d_tag) == ElfType32.DT_STRTAB){
  33. System.out.println("strtab:"+dyn);
  34. strOffset = Utils.byte2Int(dyn.d_ptr);
  35. }else if(Utils.byte2Int(dyn.d_tag) == ElfType32.DT_SYMTAB){
  36. System.out.println("systab:"+dyn);
  37. symbolOffset = Utils.byte2Int(dyn.d_ptr);
  38. }else if(Utils.byte2Int(dyn.d_tag) == ElfType32.DT_STRSZ){
  39. System.out.println("strsz:"+dyn);
  40. strSize = Utils.byte2Int(dyn.d_val);
  41. }
  42. }
  43.  
  44. symbolStr = Utils.copyBytes(fileByteArys, strOffset, strSize);
  45. //打印所有的Symbol Name,注意用0来进行分割,C中的字符串都是用0做结尾的
  46. /*String[] strAry = new String(symbolStr).split(new String(new byte[]{0}));
  47. for(String str : strAry){
  48. System.out.println(str);
  49. }*/
  50.  
  51. for(elf32_dyn dyn : type_32.dynList){
  52. if(Utils.byte2Int(dyn.d_tag) == ElfType32.DT_HASH){
  53. //这里的逻辑有点绕
  54. /**
  55. * 根据hash值,找到下标hash % nbuckets的bucket;根据bucket中的值,读取.dynsym中的对应索引的Elf32_Sym符号;
  56. * 从符号的st_name所以找到在.dynstr中对应的字符串与函数名进行比较。若不等,则根据chain[hash % nbuckets]找下一个Elf32_Sym符号,
  57. * 直到找到或者chain终止为止。这里叙述得有些复杂,直接上代码。
  58. for(i = bucket[funHash % nbucket]; i != 0; i = chain[i]){
  59. if(strcmp(dynstr + (funSym + i)->st_name, funcName) == 0){
  60. flag = 0;
  61. break;
  62. }
  63. }
  64. */
  65. int nbucket = Utils.byte2Int(Utils.copyBytes(fileByteArys, dynHashOffset, 4));
  66. int nchian = Utils.byte2Int(Utils.copyBytes(fileByteArys, dynHashOffset+4, 4));
  67. int hash = (int)elfhash(funcName.getBytes());
  68. hash = (hash % nbucket);
  69. //这里的8是读取nbucket和nchian的两个值
  70. funcIndex = Utils.byte2Int(Utils.copyBytes(fileByteArys, dynHashOffset+hash*4 + 8, 4));
  71. System.out.println("nbucket:"+nbucket+",hash:"+hash+",funcIndex:"+funcIndex+",chian:"+nchian);
  72. System.out.println("sym:"+Utils.bytes2HexString(Utils.int2Byte(symbolOffset)));
  73. System.out.println("hash:"+Utils.bytes2HexString(Utils.int2Byte(dynHashOffset)));
  74.  
  75. byte[] des = new byte[symbolSize];
  76. System.arraycopy(fileByteArys, symbolOffset+funcIndex*symbolSize, des, 0, symbolSize);
  77. Elf32_Sym sym = parseSymbolTable(des);
  78. System.out.println("sym:"+sym);
  79. boolean isFindFunc = Utils.isEqualByteAry(symbolStr, Utils.byte2Int(sym.st_name), funcName);
  80. if(isFindFunc){
  81. System.out.println("find func....");
  82. return;
  83. }
  84.  
  85. while(true){
  86. /**
  87. * lseek(fd, dyn_hash + 4 * (2 + nbucket + funIndex), SEEK_SET);
  88. if(read(fd, &funIndex, 4) != 4){
  89. puts("Read funIndex failed\n");
  90. goto _error;
  91. }
  92. */
  93. //System.out.println("dyHash:"+Utils.bytes2HexString(Utils.int2Byte(dynHashOffset))+",nbucket:"+nbucket+",funIndex:"+funcIndex);
  94. funcIndex = Utils.byte2Int(Utils.copyBytes(fileByteArys, dynHashOffset+4*(2+nbucket+funcIndex), 4));
  95. System.out.println("funcIndex:"+funcIndex);
  96.  
  97. System.arraycopy(fileByteArys, symbolOffset+funcIndex*symbolSize, des, 0, symbolSize);
  98. sym = parseSymbolTable(des);
  99.  
  100. isFindFunc = Utils.isEqualByteAry(symbolStr, Utils.byte2Int(sym.st_name), funcName);
  101. if(isFindFunc){
  102. System.out.println("find func...");
  103. int funcSize = Utils.byte2Int(sym.st_size);
  104. int funcOffset = Utils.byte2Int(sym.st_value);
  105. System.out.println("size:"+funcSize+",funcOffset:"+funcOffset);
  106. //进行目标函数代码部分进行加密
  107. //这里需要注意的是从funcOffset-1的位置开始
  108. byte[] funcAry = Utils.copyBytes(fileByteArys, funcOffset-1, funcSize);
  109. for(int i=0;i<funcAry.length-1;i++){
  110. funcAry[i] = (byte)(funcAry[i] ^ 0xFF);
  111. }
  112. Utils.replaceByteAry(fileByteArys, funcOffset-1, funcAry);
  113. break;
  114. }
  115. }
  116. break;
  117. }
  118.  
  119. }
  120.  
  121. }

这里的解密程序,需要说明一下。

1)、定位到.dynamic的segment,解析成elf32_dyn结构信息

  1. //寻找Dynamic段的偏移值和大小
  2. int dy_offset = 0,dy_size = 0;
  3. for(elf32_phdr phdr : type_32.phdrList){
  4. if(Utils.byte2Int(phdr.p_type) == ElfType32.PT_DYNAMIC){
  5. dy_offset = Utils.byte2Int(phdr.p_offset);
  6. dy_size = Utils.byte2Int(phdr.p_filesz);
  7. }
  8. }
  9. System.out.println("dy_size:"+dy_size);
  10. int dynSize = 8;
  11. int size = dy_size / dynSize;
  12. System.out.println("size:"+size);
  13. byte[] dest = new byte[dynSize];
  14. for(int i=0;i<size;i++){
  15. System.arraycopy(fileByteArys, i*dynSize + dy_offset, dest, 0, dynSize);
  16. type_32.dynList.add(parseDynamic(dest));
  17. }

这里有一个解析elf32_dyn结构:

  1. private static elf32_dyn parseDynamic(byte[] src){
  2. elf32_dyn dyn = new elf32_dyn();
  3. dyn.d_tag = Utils.copyBytes(src, 0, 4);
  4. dyn.d_ptr = Utils.copyBytes(src, 4, 4);
  5. dyn.d_val = Utils.copyBytes(src, 4, 4);
  6. return dyn;
  7. }

这里需要注意的是,elf32_dyn中用到了联合体union结构,Java中是不存在这个类型的,所以我们需要了解这个联合体的含义,这里虽然是三个字段,但是大小是8个字节,而不是12字节,这个需要注意的。dyn.d_val和dyn.d_val是在一个联合体中的。

2)、计算目标函数的hash值,得到函数的偏移值和大小

  1. for(elf32_dyn dyn : type_32.dynList){
  2. if(Utils.byte2Int(dyn.d_tag) == ElfType32.DT_HASH){
  3. //这里的逻辑有点绕
  4. /**
  5. * 根据hash值,找到下标hash % nbuckets的bucket;根据bucket中的值,读取.dynsym中的对应索引的Elf32_Sym符号;
  6. * 从符号的st_name所以找到在.dynstr中对应的字符串与函数名进行比较。若不等,则根据chain[hash % nbuckets]找下一个Elf32_Sym符号,
  7. * 直到找到或者chain终止为止。这里叙述得有些复杂,直接上代码。
  8. for(i = bucket[funHash % nbucket]; i != 0; i = chain[i]){
  9. if(strcmp(dynstr + (funSym + i)->st_name, funcName) == 0){
  10. flag = 0;
  11. break;
  12. }
  13. }
  14. */
  15. int nbucket = Utils.byte2Int(Utils.copyBytes(fileByteArys, dynHashOffset, 4));
  16. int nchian = Utils.byte2Int(Utils.copyBytes(fileByteArys, dynHashOffset+4, 4));
  17. int hash = (int)elfhash(funcName.getBytes());
  18. hash = (hash % nbucket);
  19. //这里的8是读取nbucket和nchian的两个值
  20. funcIndex = Utils.byte2Int(Utils.copyBytes(fileByteArys, dynHashOffset+hash*4 + 8, 4));
  21. System.out.println("nbucket:"+nbucket+",hash:"+hash+",funcIndex:"+funcIndex+",chian:"+nchian);
  22. System.out.println("sym:"+Utils.bytes2HexString(Utils.int2Byte(symbolOffset)));
  23. System.out.println("hash:"+Utils.bytes2HexString(Utils.int2Byte(dynHashOffset)));
  24.  
  25. byte[] des = new byte[symbolSize];
  26. System.arraycopy(fileByteArys, symbolOffset+funcIndex*symbolSize, des, 0, symbolSize);
  27. Elf32_Sym sym = parseSymbolTable(des);
  28. System.out.println("sym:"+sym);
  29. boolean isFindFunc = Utils.isEqualByteAry(symbolStr, Utils.byte2Int(sym.st_name), funcName);
  30. if(isFindFunc){
  31. System.out.println("find func....");
  32. return;
  33. }
  34.  
  35. while(true){
  36. /**
  37. * lseek(fd, dyn_hash + 4 * (2 + nbucket + funIndex), SEEK_SET);
  38. if(read(fd, &funIndex, 4) != 4){
  39. puts("Read funIndex failed\n");
  40. goto _error;
  41. }
  42. */
  43. //System.out.println("dyHash:"+Utils.bytes2HexString(Utils.int2Byte(dynHashOffset))+",nbucket:"+nbucket+",funIndex:"+funcIndex);
  44. funcIndex = Utils.byte2Int(Utils.copyBytes(fileByteArys, dynHashOffset+4*(2+nbucket+funcIndex), 4));
  45. System.out.println("funcIndex:"+funcIndex);
  46.  
  47. System.arraycopy(fileByteArys, symbolOffset+funcIndex*symbolSize, des, 0, symbolSize);
  48. sym = parseSymbolTable(des);
  49.  
  50. isFindFunc = Utils.isEqualByteAry(symbolStr, Utils.byte2Int(sym.st_name), funcName);
  51. if(isFindFunc){
  52. System.out.println("find func...");
  53. int funcSize = Utils.byte2Int(sym.st_size);
  54. int funcOffset = Utils.byte2Int(sym.st_value);
  55. System.out.println("size:"+funcSize+",funcOffset:"+funcOffset);
  56. //进行目标函数代码部分进行加密
  57. //这里需要注意的是从funcOffset-1的位置开始
  58. byte[] funcAry = Utils.copyBytes(fileByteArys, funcOffset-1, funcSize);
  59. for(int i=0;i<funcAry.length-1;i++){
  60. funcAry[i] = (byte)(funcAry[i] ^ 0xFF);
  61. }
  62. Utils.replaceByteAry(fileByteArys, funcOffset-1, funcAry);
  63. break;
  64. }
  65. }
  66. break;
  67. }
  68.  
  69. }

这里的寻找逻辑有点饶人,但是我们知道了解原理即可:

结合上面的这张图就可以理解了。其中nbucket和nchain,bucket[i]和chain[i]都是4个字节。他们的值就是目标函数在.dynsym中的位置。

2、C版加密程序

  1. #include <stdio.h>
  2. #include <fcntl.h>
  3. #include "elf.h"
  4. #include <stdlib.h>
  5. #include <string.h>
  6.  
  7. typedef struct _funcInfo{
  8. Elf32_Addr st_value;
  9. Elf32_Word st_size;
  10. }funcInfo;
  11.  
  12. Elf32_Ehdr ehdr;
  13.  
  14. //For Test
  15. static void print_all(char *str, int len){
  16. int i;
  17. for(i=0;i<len;i++)
  18. {
  19. if(str[i] == 0)
  20. puts("");
  21. else
  22. printf("%c", str[i]);
  23. }
  24. }
  25.  
  26. static unsigned elfhash(const char *_name)
  27. {
  28. const unsigned char *name = (const unsigned char *) _name;
  29. unsigned h = 0, g;
  30.  
  31. while(*name) {
  32. h = (h << 4) + *name++;
  33. g = h & 0xf0000000;
  34. h ^= g;
  35. h ^= g >> 24;
  36. }
  37. return h;
  38. }
  39.  
  40. static Elf32_Off findTargetSectionAddr(const int fd, const char *secName){
  41. Elf32_Shdr shdr;
  42. char *shstr = NULL;
  43. int i;
  44.  
  45. lseek(fd, 0, SEEK_SET);
  46. if(read(fd, &ehdr, sizeof(Elf32_Ehdr)) != sizeof(Elf32_Ehdr)){
  47. puts("Read ELF header error");
  48. goto _error;
  49. }
  50.  
  51. lseek(fd, ehdr.e_shoff + sizeof(Elf32_Shdr) * ehdr.e_shstrndx, SEEK_SET);
  52.  
  53. if(read(fd, &shdr, sizeof(Elf32_Shdr)) != sizeof(Elf32_Shdr)){
  54. puts("Read ELF section string table error");
  55. goto _error;
  56. }
  57.  
  58. if((shstr = (char *) malloc(shdr.sh_size)) == NULL){
  59. puts("Malloc space for section string table failed");
  60. goto _error;
  61. }
  62.  
  63. lseek(fd, shdr.sh_offset, SEEK_SET);
  64. if(read(fd, shstr, shdr.sh_size) != shdr.sh_size){
  65. puts(shstr);
  66. puts("Read string table failed");
  67. goto _error;
  68. }
  69.  
  70. lseek(fd, ehdr.e_shoff, SEEK_SET);
  71. for(i = 0; i < ehdr.e_shnum; i++){
  72. if(read(fd, &shdr, sizeof(Elf32_Shdr)) != sizeof(Elf32_Shdr)){
  73. puts("Find section .text procedure failed");
  74. goto _error;
  75. }
  76. if(strcmp(shstr + shdr.sh_name, secName) == 0){
  77. printf("Find section %s, addr = 0x%x\n", secName, shdr.sh_offset);
  78. break;
  79. }
  80. }
  81. free(shstr);
  82. return shdr.sh_offset;
  83. _error:
  84. return -1;
  85. }
  86.  
  87. static char getTargetFuncInfo(int fd, const char *funcName, funcInfo *info){
  88. char flag = -1, *dynstr;
  89. int i;
  90. Elf32_Sym funSym;
  91. Elf32_Phdr phdr;
  92. Elf32_Off dyn_off;
  93. Elf32_Word dyn_size, dyn_strsz;
  94. Elf32_Dyn dyn;
  95. Elf32_Addr dyn_symtab, dyn_strtab, dyn_hash;
  96. unsigned funHash, nbucket, nchain, funIndex;
  97.  
  98. lseek(fd, ehdr.e_phoff, SEEK_SET);
  99. for(i=0;i < ehdr.e_phnum; i++){
  100. if(read(fd, &phdr, sizeof(Elf32_Phdr)) != sizeof(Elf32_Phdr)){
  101. puts("Read segment failed");
  102. goto _error;
  103. }
  104. if(phdr.p_type == PT_DYNAMIC){
  105. dyn_size = phdr.p_filesz;
  106. dyn_off = phdr.p_offset;
  107. flag = 0;
  108. printf("Find section %s, size = 0x%x, addr = 0x%x\n", ".dynamic", dyn_size, dyn_off);
  109. break;
  110. }
  111. }
  112. if(flag){
  113. puts("Find .dynamic failed");
  114. goto _error;
  115. }
  116. flag = 0;
  117.  
  118. printf("dyn_size:%d\n",dyn_size);
  119. printf("count:%d\n",(dyn_size/sizeof(Elf32_Dyn)));
  120. printf("off:%x\n",dyn_off);
  121.  
  122. lseek(fd, dyn_off, SEEK_SET);
  123. for(i=0;i < dyn_size / sizeof(Elf32_Dyn); i++){
  124. int sizes = read(fd, &dyn, sizeof(Elf32_Dyn));
  125. if(sizes != sizeof(Elf32_Dyn)){
  126. puts("Read .dynamic information failed");
  127. //goto _error;
  128. break;
  129. }
  130. if(dyn.d_tag == DT_SYMTAB){
  131. dyn_symtab = dyn.d_un.d_ptr;
  132. flag += 1;
  133. printf("Find .dynsym, addr = 0x%x, val = 0x%x\n", dyn_symtab, dyn.d_un.d_val);
  134. }
  135.  
  136. if(dyn.d_tag == DT_HASH){
  137. dyn_hash = dyn.d_un.d_ptr;
  138. flag += 2;
  139. printf("Find .hash, addr = 0x%x\n", dyn_hash);
  140. }
  141. if(dyn.d_tag == DT_STRTAB){
  142. dyn_strtab = dyn.d_un.d_ptr;
  143. flag += 4;
  144. printf("Find .dynstr, addr = 0x%x\n", dyn_strtab);
  145. }
  146. if(dyn.d_tag == DT_STRSZ){
  147. dyn_strsz = dyn.d_un.d_val;
  148. flag += 8;
  149. printf("Find .dynstr size, size = 0x%x\n", dyn_strsz);
  150. }
  151. }
  152.  
  153. if((flag & 0x0f) != 0x0f){
  154. puts("Find needed .section failed\n");
  155. goto _error;
  156. }
  157.  
  158. dynstr = (char*) malloc(dyn_strsz);
  159. if(dynstr == NULL){
  160. puts("Malloc .dynstr space failed");
  161. goto _error;
  162. }
  163.  
  164. lseek(fd, dyn_strtab, SEEK_SET);
  165. if(read(fd, dynstr, dyn_strsz) != dyn_strsz){
  166. puts("Read .dynstr failed");
  167. goto _error;
  168. }
  169.  
  170. funHash = elfhash(funcName);
  171. printf("Function %s hashVal = 0x%x\n", funcName, funHash);
  172.  
  173. lseek(fd, dyn_hash, SEEK_SET);
  174. if(read(fd, &nbucket, 4) != 4){
  175. puts("Read hash nbucket failed\n");
  176. goto _error;
  177. }
  178. printf("nbucket = %d\n", nbucket);
  179.  
  180. if(read(fd, &nchain, 4) != 4){
  181. puts("Read hash nchain failed\n");
  182. goto _error;
  183. }
  184. printf("nchain = %d\n", nchain);
  185.  
  186. funHash = funHash % nbucket;
  187. printf("funHash mod nbucket = %d \n", funHash);
  188.  
  189. lseek(fd, funHash * 4, SEEK_CUR);
  190. if(read(fd, &funIndex, 4) != 4){
  191. puts("Read funIndex failed\n");
  192. goto _error;
  193. }
  194.  
  195. printf("funcIndex:%d\n", funIndex);
  196.  
  197. lseek(fd, dyn_symtab + funIndex * sizeof(Elf32_Sym), SEEK_SET);
  198. if(read(fd, &funSym, sizeof(Elf32_Sym)) != sizeof(Elf32_Sym)){
  199. puts("Read funSym failed");
  200. goto _error;
  201. }
  202.  
  203. if(strcmp(dynstr + funSym.st_name, funcName) != 0){
  204. while(1){
  205. printf("hash:%x,nbucket:%d,funIndex:%d\n",dyn_hash,nbucket,funIndex);
  206. lseek(fd, dyn_hash + 4 * (2 + nbucket + funIndex), SEEK_SET);
  207. if(read(fd, &funIndex, 4) != 4){
  208. puts("Read funIndex failed\n");
  209. goto _error;
  210. }
  211.  
  212. printf("funcIndex:%d\n", funIndex);
  213.  
  214. if(funIndex == 0){
  215. puts("Cannot find funtion!\n");
  216. goto _error;
  217. }
  218.  
  219. lseek(fd, dyn_symtab + funIndex * sizeof(Elf32_Sym), SEEK_SET);
  220. if(read(fd, &funSym, sizeof(Elf32_Sym)) != sizeof(Elf32_Sym)){
  221. puts("In FOR loop, Read funSym failed");
  222. goto _error;
  223. }
  224.  
  225. if(strcmp(dynstr + funSym.st_name, funcName) == 0){
  226. break;
  227. }
  228. }
  229. }
  230.  
  231. printf("Find: %s, offset = 0x%x, size = 0x%x\n", funcName, funSym.st_value, funSym.st_size);
  232. info->st_value = funSym.st_value;
  233. info->st_size = funSym.st_size;
  234. free(dynstr);
  235. return 0;
  236.  
  237. _error:
  238. free(dynstr);
  239. return -1;
  240. }
  241.  
  242. int main(int argc, char **argv){
  243. char secName[] = ".text";
  244. char funcName[] = "Java_com_example_shelldemo2_MainActivity_getString";
  245. char *soName = "libdemo.so";
  246. char *content = NULL;
  247. int fd, i;
  248. Elf32_Off secOff;
  249. funcInfo info;
  250.  
  251. unsigned a = elfhash(funcName);
  252. printf("a:%d\n", a);
  253.  
  254. fd = open(soName, O_RDWR);
  255. if(fd < 0){
  256. printf("open %s failed\n", argv[1]);
  257. goto _error;
  258. }
  259.  
  260. secOff = findTargetSectionAddr(fd, secName);
  261. if(secOff == -1){
  262. printf("Find section %s failed\n", secName);
  263. goto _error;
  264. }
  265. if(getTargetFuncInfo(fd, funcName, &info) == -1){
  266. printf("Find function %s failed\n", funcName);
  267. goto _error;
  268. }
  269.  
  270. content = (char*) malloc(info.st_size);
  271. if(content == NULL){
  272. puts("Malloc space failed");
  273. goto _error;
  274. }
  275.  
  276. lseek(fd, info.st_value - 1, SEEK_SET);
  277. if(read(fd, content, info.st_size) != info.st_size){
  278. puts("Malloc space failed");
  279. goto _error;
  280. }
  281.  
  282. for(i=0;i<info.st_size -1;i++){
  283. content[i] = ~content[i];
  284. }
  285.  
  286. lseek(fd, info.st_value-1, SEEK_SET);
  287. if(write(fd, content, info.st_size) != info.st_size){
  288. puts("Write modified content to .so failed");
  289. goto _error;
  290. }
  291. puts("Complete!");
  292.  
  293. _error:
  294. free(content);
  295. close(fd);
  296. return 0;
  297. }

这里就不做介绍了。

上面对so中的函数加密成功了,那么下面我们来验证加密,我们使用IDA进行查看:

看到我们加密的函数内容已经面目全非了,看不到信息了。

比较加密前的:

哈哈,加密成功了~~

案例下载地址:http://download.csdn.net/detail/jiangwei0910410003/9289009

第三、测试Android项目

我们用加密之后的so文件来测试一下:

  1. package com.example.shelldemo;
  2.  
  3. import android.app.Activity;
  4. import android.os.Bundle;
  5. import android.view.Menu;
  6. import android.view.MenuItem;
  7. import android.widget.TextView;
  8.  
  9. public class MainActivity extends Activity {
  10.  
  11. private TextView tv;
  12. private native String getString();
  13.  
  14. static{
  15. System.loadLibrary("demo");
  16. }
  17. @Override
  18. protected void onCreate(Bundle savedInstanceState) {
  19. super.onCreate(savedInstanceState);
  20. setContentView(R.layout.activity_main);
  21.  
  22. tv = (TextView) findViewById(R.id.tv);
  23. tv.setText(getString());
  24. }
  25. }

运行结果:

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" alt="" />
运行成功啦。

五、总结

这篇文章是延续之前的加密section文章继续讲述了加密函数来实现so加固,这个和加密section唯一的区别就是如何找到加密函数的偏移地址和大小,其他都是类似的,那么对于so加固的知识点就用这两篇文章来介绍了,当然这两种方式都是有缺点的,就是如果我们在init_getString函数下断点,然后动态调试一下,就可以很轻易的破解了,而且通过dump出内存中运行的dex也是可以做到的,所以,没有绝对的安全,只有相对的攻防~~

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" 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