1.下载地址
https://github.co/frida/frida/releases
2.另外两种安装方法
1.Install from prebuilt binaries
This is the recommended way to get started. All you need to do is:
pip install frida-tools # CLI tools
pip install frida # Python bindings
npm install frida # Node.js bindings
You may also download pre-built binaries for various operating systems from Frida's releases page on GitHub.
2.Build your own binaries
Dependencies
For running the Frida CLI tools, i.e. frida, frida-ls-devices, frida-ps, frida-kill, frida-trace, and frida-discover, you need Python plus a few packages:
pip3 install colorama prompt-toolkit pygments
Linux
make
macOS and iOS
First make a trusted code-signing certificate. You can use the guide at https://sourceware.org/gdb/wiki/PermissionsDarwin in the sections "Create a certificate in the System Keychain" and "Trust the certificate for code signing". You can use the name frida-cert instead of gdb-cert if you'd like.
Next export the name of the created certificate to the environment variables MAC_CERTID and IOS_CERTID, and run make:
export MAC_CERTID=frida-cert
export IOS_CERTID=frida-cert
make
To ensure that macOS accepts the newly created certificate, restart the taskgated daemon:
sudo killall taskgated
Windows
frida.sln
(Requires Visual Studio 2017.)
3.简单实用
得到android手机当前最前端Activity所在的进程
get_front_app.py
其中get_front_app.py的内容如下：
import frida
rdev = frida.get_remote_device()
front_app = rdev.get_frontmost_application()
print front_app
12341234
枚举android手机所有的进程
enum_process.py
enum_process.py内容如下：
import frida
rdev = frida.get_remote_device()
processes = rdev.enumerate_processes()
for process in processes:
print process
1234512345
枚举某个进程加载的所有模块以及模块中的导出函数
import frida
rdev = frida.get_remote_device()
session = rdev.attach("com.tencent.mm") #如果存在两个一样的进程名可以采用rdev.attach(pid)的方式
modules = session.enumerate_modules()
for module in modules:
print module
export_funcs = module.enumerate_exports()
print "\tfunc_name\tRVA"
for export_func in export_funcs:
print "\t%s\t%s"%(export_func.name,hex(export_func.relative_address))
1234567891012345678910
hook android的native函数
import frida
import sys
rdev = frida.get_remote_device()
session = rdev.attach("com.tencent.mm")
scr = """
Interceptor.attach(Module.findExportByName("libc.so" , "open"), {
onEnter: function(args) {
send("open("+Memory.readCString(args[0])+","+args[1]+")");
},
onLeave:function(retval){
}
});
"""
script = session.create_script(scr)
def on_message(message ,data):
print message
script.on("message" , on_message)
script.load()
sys.stdin.read()
12345678910111213141516171819201234567891011121314151617181920
hook android的java层函数
如下代码为hook微信（测试版本为6.3.13，不同版本由于混淆名字的随机生成的原因或者代码改动导致类名不一样）
com.tencent.mm.sdk.platformtools.ay类的随机数生成函数，让微信猜拳随机（type=2），而摇色子总是为6点（type=5）
import frida
import sys
rdev = frida.get_remote_device()
session = rdev.attach("com.tencent.mm")
scr = """
Java.perform(function () {
var ay = Java.use("com.tencent.mm.sdk.platformtools.ay");
ay.pu.implementation = function(){
var type = arguments[0];
send("type="+type);
if (type == 2)
{
return this.pu(type);
}
else
{
return 5;
}
};
});
"""
script = session.create_script(scr)
def on_message(message ,data):
print message
script.on("message" , on_message)
script.load()
sys.stdin.read()
123456789101112131415161718192021222324252627282930123456789101112131415161718192021222324252627282930
通过frida向android进程注入dex
import frida, sys, optparse, re
def on_message(message, data):
if message['type'] == 'send':
print("[*] {0}".format(message['payload']))
else:
print(message)
jscode = """
Java.perform(function () {
var currentApplication = Java.use("android.app.ActivityThread").currentApplication();
var context = currentApplication.getApplicationContext();
var pkgName = context.getPackageName();
var dexPath = "%s";
var entryClass = "%s";
Java.openClassFile(dexPath).load();
console.log("inject " + dexPath +" to " + pkgName + " successfully!")
Java.use(entryClass).%s("%s");
console.log("call entry successfully!")
});
"""
def checkRequiredArguments(opts, parser):
missing_options = []
for option in parser.option_list:
if re.match(r'^\[REQUIRED\]', option.help) and eval('opts.' + option.dest) == None:
missing_options.extend(option._long_opts)
if len(missing_options) > 0:
parser.error('Missing REQUIRED parameters: ' + str(missing_options))
if __name__ == "__main__":
usage = "usage: python %prog [options] arg\n\n" \
"example: python %prog -p com.android.launcher " \
"-f /data/local/tmp/test.apk " \
"-e com.parker.test.DexMain/main " \
"\"hello fridex!\""
parser = optparse.OptionParser(usage)
parser.add_option("-p", "--package", dest="pkg", type="string",
help="[REQUIRED]package name of the app to be injected.")
parser.add_option("-f", "--file", dest="dexPath", type="string",
help="[REQUIRED]path of the dex")
parser.add_option("-e", "--entry", dest="entry", type="string",
help="[REQUIRED]the entry function Name.")
(options, args) = parser.parse_args()
checkRequiredArguments(options, parser)
if len(args) == 0:
arg = ""
else:
arg = args[0]
pkgName = options.pkg
dexPath = options.dexPath
entry = options.entry.split("/")
if len(entry) > 1:
entryClass = entry[0]
entryFunction = entry[1]
else:
entryClass = entry[0]
entryFunction = "main"
process = frida.get_usb_device(1).attach(pkgName)
jscode = jscode%(dexPath, entryClass, entryFunction, arg)
script = process.create_script(jscode)
script.on('message', on_message)
print('[*] Running fridex')
script.load()
sys.stdin.read()
1234567891011121314151617181920212223242526272829303132333435363738394041424344454647484950515253545556575859606162636465666712345678910111213141516171819202122232425262728293031323334353637383940414243444546474849505152535455565758596061626364656667
通过注入抛出异常代码实现跟踪程序调用栈
在<<Android 软件安全与逆向分析>>这本书中第八章有介绍通过重打包写入异常代码进行栈跟踪，但是这样比较麻烦，使用frida注入更方便。