自研Unidbg trace工具实战ollvm反混淆

admin 2023年11月21日15:07:29评论11 views字数 14140阅读47分8秒阅读模式
3w班12月作业第3题

 

得益于Unicorn的强大的指令trace能力,可以很容易实现对cpu执行的每一条汇编指令的跟踪,进而对ollvm保护的函数进行剪枝,去掉虚假块,大大提高逆向分析效率。请分别使用Unidbg和Stalker引擎完成对该app中的jnicheck函数的trace跟踪,并简单分析该apk逻辑,找出flag。

 

首先是用unidbg简单的实现下调用。结果出现问题。

java.lang.IllegalStateException: Please vm.setJni(jni)    at com.github.unidbg.linux.android.dvm.Hashable.checkJni(Hashable.java:8)    at com.github.unidbg.linux.android.dvm.DvmClass.getStaticMethodID(DvmClass.java:101)    at com.github.unidbg.linux.android.dvm.DalvikVM64$110.handle(DalvikVM64.java:1697)


很明显的提示让我们加上setJni。加上后,并且修改类继承自AbstractJni。然后再来一次。然后又出现错误。

JNIEnv->GetStaticMethodID(com/kanxue/crackme/MainActivity.crypt2(Ljava/lang/String;)Z) => 0xf66a2c58 was called from RX@0x40028d98[libnative-lib.so]0x28d98[23:35:36 063]  WARN [com.github.unidbg.linux.ARM64SyscallHandler] (ARM64SyscallHandler:369) - handleInterrupt intno=2, NR=-129104, svcNumber=0x172, PC=unidbg@0xfffe07b4, LR=RX@0x400291c8[libnative-lib.so]0x291c8, syscall=nulljava.lang.UnsupportedOperationException: com/kanxue/crackme/MainActivity->crypt2(Ljava/lang/String;)Z    at com.github.unidbg.linux.android.dvm.AbstractJni.callStaticBooleanMethodV(AbstractJni.java:169)    at com.github.unidbg.linux.android.dvm.AbstractJni.callStaticBooleanMethodV(AbstractJni.java:164)


看着好像是没有找到这个静态函数的实现的样子。但是我测试,直接调用这个crypt2函数是没问题的。那么问题可能就是出在jni函数的内部调用jni函数了。然后既然我们已知直接调用crypt2没问题。实际上我们也可以直接调用crypt2来分析即可。但是既然是作业,那么还是跑通一下吧。那么我自己重写实现一下内部的调用。

@Override    public boolean callStaticBooleanMethodV(BaseVM vm, DvmClass dvmClass, String signature, VaList vaList) {        switch (signature){            case "com/kanxue/crackme/MainActivity->crypt2(Ljava/lang/String;)Z":                Symbol symbol=module.findSymbolByName("Java_com_kanxue_crackme_MainActivity_crypt2");                StringObject str=vaList.getObjectArg(0);                Number num=module.callFunction(emulator,symbol.getAddress(),str.toString());                return num.intValue()>0;        }         throw new UnsupportedOperationException(signature);    }


然后又出现问题了。错误如下:

java.lang.IllegalStateException: running    at com.github.unidbg.AbstractEmulator.emulate(AbstractEmulator.java:358)    at com.github.unidbg.thread.Function64.run(Function64.java:39)    at com.github.unidbg.thread.MainTask.dispatch(MainTask.java:19)    at com.github.unidbg.thread.UniThreadDispatcher.run(UniThreadDispatcher.java:172)


大致意思就是虚拟机正在运行中,不能再调用另外一个jni函数。也就是说再callFunction中执行一个函数,实际就是开一个虚拟机去执行,然后因为这个虚拟机正在执行中,就不能调用另外一个函数。所以。我决定用两个虚拟机,就不会有问题啦。下面贴上完整代码。

package com.zuoye; import com.github.unidbg.AndroidEmulator;import com.github.unidbg.LibraryResolver;import com.github.unidbg.Module;import com.github.unidbg.linux.android.AndroidEmulatorBuilder;import com.github.unidbg.linux.android.AndroidResolver;import com.github.unidbg.linux.android.dvm.*;import com.github.unidbg.memory.Memory; import java.io.File; public class KanxueTest extends AbstractJni {    private final AndroidEmulator emulator;    private final VM vm;    private final DvmClass mainActivityDvm;    private final Module module;    public static void main(String[] args) {        KanxueTest bcfTest = new KanxueTest();        bcfTest.call_jnicheck();    }    private KanxueTest(){        emulator = AndroidEmulatorBuilder                .for64Bit()                .build();        Memory memory = emulator.getMemory();        LibraryResolver resolver = new AndroidResolver(23);        memory.setLibraryResolver(resolver);        vm = emulator.createDalvikVM();        vm.setVerbose(true);        vm.setJni(this);         mainActivityDvm = vm.resolveClass("com/kanxue/crackme/MainActivity");         DalvikModule dm = vm.loadLibrary(new File("unidbg-android/src/test/resources/example_binaries/arm64-v8a/libnative-lib.so"), false);        module=dm.getModule();         dm.callJNI_OnLoad(emulator);    }     @Override    public boolean callStaticBooleanMethodV(BaseVM vm, DvmClass dvmClass, String signature, VaList vaList) {        switch (signature){            case "com/kanxue/crackme/MainActivity->crypt2(Ljava/lang/String;)Z":                StringObject input=vaList.getObjectArg(0);                KanxueTest test2=new KanxueTest();                return test2.crypt2(input.getValue());        }        throw new UnsupportedOperationException(signature);    }     //主动调用目标函数    private void call_jnicheck(){        Boolean res = mainActivityDvm.callStaticJniMethodBoolean(emulator, "jnicheck(Ljava/lang/String;)Z","aasd1123");        System.out.println(res);    }     private boolean crypt2(String data){        Boolean res = mainActivityDvm.callStaticJniMethodBoolean(emulator, "crypt2(Ljava/lang/String;)Z",data);        return res;    }}


这次就成功执行完成了,结果如下:

Find native function Java_com_kanxue_crackme_MainActivity_jnicheck => RX@0x40025904[libnative-lib.so]0x25904JNIEnv->GetStringUtfChars("aasd1123") was called from RX@0x400270a4[libnative-lib.so]0x270a4JNIEnv->NewStringUTF("aasd1123666") was called from RX@0x40027640[libnative-lib.so]0x27640JNIEnv->GetStringUtfChars("aasd1123666") was called from RX@0x400270a4[libnative-lib.so]0x270a4JNIEnv->FindClass(com/kanxue/crackme/MainActivity) was called from RX@0x40028008[libnative-lib.so]0x28008JNIEnv->GetStaticMethodID(com/kanxue/crackme/MainActivity.crypt2(Ljava/lang/String;)Z) => 0xf66a2c58 was called from RX@0x40028d98[libnative-lib.so]0x28d98Find native function Java_com_kanxue_crackme_MainActivity_crypt2 => RX@0x40029750[libnative-lib.so]0x29750JNIEnv->GetStringUtfChars(""aasd1123666"") was called from RX@0x400270a4[libnative-lib.so]0x270a4JNIEnv->CallStaticBooleanMethodV(class com/kanxue/crackme/MainActivity, crypt2("aasd1123666") => false) was called from RX@0x400291c8[libnative-lib.so]0x291c8false


接下来就是开启trace分析这个对比的逻辑,找到那个flag。

 

根据上面的日志,就可以看到实际上第一个函数就是讲字符串给加上666。

aasd1123  ->  jnicheck  ->  aasd1123666   ->  crypt2


所以关键是看crypt2的逻辑了。接着是对汇编执行对部分进行trace。这里我使用我之前写的trace方案。

 

https://github.com/dqzg12300/unidbg_tools.git

 

这里我自己封装了一套对trace的优化处理,能够打印ldr的内容。以及寄存器的详细变化。下面是调整后的代码。

//主动调用目标函数   private void call_jnicheck(){       KingTrace trace1=new KingTrace(emulator);       //dump ldr的数据。包括ldr赋值给寄存器的如果是指针,也会dump       GlobalData.is_dump_ldr=true;       //dump str的数据       GlobalData.is_dump_str=true;       trace1.initialize(0x40025904,0x40025904+0x162c,null);       emulator.getBackend().hook_add_new(trace1,0x40025904,0x40025904+0x162c,emulator);       Boolean res = mainActivityDvm.callStaticJniMethodBoolean(emulator, "jnicheck(Ljava/lang/String;)Z","XUe");       System.out.println(res);   }    private boolean crypt2(String data){       KingTrace trace1=new KingTrace(emulator);       //dump ldr的数据。包括ldr赋值给寄存器的如果是指针,也会dump       GlobalData.is_dump_ldr=true;       //dump str的数据       GlobalData.is_dump_str=true;       trace1.initialize(0x40029750,0x40029750+0x30c,null);       emulator.getBackend().hook_add_new(trace1,0x40029750,0x40029750+0x30c,emulator);       Boolean res = mainActivityDvm.callStaticJniMethodBoolean(emulator, "crypt2(Ljava/lang/String;)Z",data);       return res;   }


由于我们前面知道了处理后的字符串会固定带一个666.所以我在trace的数据里面直接找666.然后就找到了一段数据如下:

[22:53:56 379]ldr_left_address:bffff680 dump, md5=bff7dd55d78b9378f9b117f668e032f6, hex=616173643131323336363600000000000000000000000000000000000000000000000000000000000000000000000000size: 480000: 61 61 73 64 31 31 32 33 36 36 36 00 00 00 00 00    aasd1123666.....0010: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0020: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................^-----------------------------------------------------------------------------^[libnative-lib.so 0x297dc] [e04f00b9] 0x400297dc: "str w0, [sp, #0x4c]"-----w0=0xb    sp=0xbffff5f0        //w0=0xb[libnative-lib.so 0x297e0] [e00308aa] 0x400297e0: "mov x0, x8"-----x0=0xb    x8=0xbffff680        //x0=0xbffff680[libnative-lib.so 0x297e4] [ebe2ff97] 0x400297e4: "bl #0x40022390"[libnative-lib.so 0x297e8] [a00c0036] 0x400297e8: "tbz w0, #0, #0x4002997c"-----w0=0x0        //w0=0x0[libnative-lib.so 0x2997c] [e8031f2a] 0x4002997c: "mov w8, wzr"-----w8=0x0        //w8=0x0[libnative-lib.so 0x29980] [a8c31738] 0x40029980: "sturb w8, [x29, #-0x84]"-----w8=0x0    x29=0xbffff700        //w8=0x0


这里ldr拿到了我们入参到指针后,跳转到了22390这个位置的函数来处理。接下来我们把这个函数也trace一下。

private boolean crypt2(String data){    //dump ldr的数据。包括ldr赋值给寄存器的如果是指针,也会dump    GlobalData.is_dump_ldr=true;    //dump str的数据    GlobalData.is_dump_str=true;    KingTrace trace1=new KingTrace(emulator);    trace1.initialize(0x40029750,0x40029750+0x30c,null);    emulator.getBackend().hook_add_new(trace1,0x40029750,0x40029750+0x30c,emulator);     KingTrace trace2=new KingTrace(emulator);    trace2.initialize(0x40022390,0x40022390+0x2574,null);    emulator.getBackend().hook_add_new(trace2,0x40022390,0x40022390+0x2574,emulator);    Boolean res = mainActivityDvm.callStaticJniMethodBoolean(emulator, "crypt2(Ljava/lang/String;)Z",data);    return res;}


然后ida打开看一下这个函数里面的大致内容。然后发现里面调用了strcmp,这个很明显用来对比的函数,看下这个函数的地址如下:


自研Unidbg trace工具实战ollvm反混淆


这里说明调用FA0这个地址函数的,就是对比的函数,我们可以选择用unidbg来进行hook打印,也可以断点查入参数来查看,接着搜索一下trace的记录,发现这个函数调用只有一处。

[libnative-lib.so 0x22464] [a8035cf8] 0x40022464: "ldur x8, [x29, #-0x40]"-----x8=0x1    x29=0xbffff5e0        //x8=0xbffff140[libnative-lib.so 0x22468] [00011ff8] 0x40022468: "stur x0, [x8, #-0x10]"-----x0=0x40359000    x8=0xbffff140        //x0=0x40359000[libnative-lib.so 0x2246c] [490000d0] 0x4002246c: "adrp x9, #0x4002c000"-----x9=0x1        //x9=0x4002c000[libnative-lib.so 0x22470] [206540f9] 0x40022470: "ldr x0, [x9, #0xc8]"-----x0=0x40359000    x9=0x4002c000        //x0=0x40358000 >-----------------------------------------------------------------------------<[23:12:20 478]ldr_left_address:40358000 dump, md5=b9f0352c6f0897767968eee7fdbed86f, hex=5746566c4e6a593200000000000000000000000000000000000000000000000000000000000000000000000000000000size: 480000: 57 46 56 6C 4E 6A 59 32 00 00 00 00 00 00 00 00    WFVlNjY2........0010: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0020: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................^-----------------------------------------------------------------------------^[libnative-lib.so 0x22474] [01015ff8] 0x40022474: "ldur x1, [x8, #-0x10]"-----x1=0xb    x8=0xbffff140        //x1=0x40359000[libnative-lib.so 0x22478] [ca7aff97] 0x40022478: "bl #0x40000fa0"[libnative-lib.so 0x2247c] [00000071] 0x4002247c: "subs w0, w0, #0"-----w0=0xffffffdf    w0=0xffffffdf        //w0=0xffffffdf


所以查一下这里进行对比的两个值,我是在调试中查看的,结果如下:

>-----------------------------------------------------------------------------<[23:13:25 680]x0=RW@0x40358000, md5=29dd7f057f3a9dda3b877e393e53b6da, hex=5746566c4e6a59320000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000size: 1120000: 57 46 56 6C 4E 6A 59 32 00 00 00 00 00 00 00 00    WFVlNjY2........0010: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0020: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0030: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0040: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0050: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0060: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................^-----------------------------------------------------------------------------^mx1 >-----------------------------------------------------------------------------<[23:13:27 638]x1=RW@0x40359000, md5=b500df35613831c3228d09ff59574abc, hex=5957467a5a4445784d6a4d324e6a593d000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000size: 1120000: 59 57 46 7A 5A 44 45 78 4D 6A 4D 32 4E 6A 59 3D    YWFzZDExMjM2NjY=0010: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0020: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0030: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0040: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0050: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................0060: 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00 00    ................


看着是两个base64,转换一下后得到:

WFVlNjY2     ->     XUe666YWFzZDExMjM2NjY=   ->    aasd1123666


那么这个结果就拿到了。直接用XUe来调用jnicheck函数,就成功了。

 

实际上这个结果我们用ida搜索666的字符串也是可以拿到的。不过我还是走一下分析的流程。

 

=========================================================

 

stalker的部分,其实主要还是trace汇编记录出来,分析流程大致相同,而stalker早期我有进行工具的整合,处理过这一部分。我把当时写的部分拿贴一下吧。

//这个地方实际上是每个block触发的,所以我们在触发的时候,要把整个block内的指令全部传递给pyfunction stalkerTraceRange(tid, base, size) {    Stalker.follow(tid, {        transform: (iterator) => {             const instruction = iterator.next();            const startAddress = instruction.address;            const isModuleCode = startAddress.compare(base) >= 0 &&                startAddress.compare(base.add(size)) < 0;            // const isModuleCode = true;              //遍历出所有指令            do {                iterator.keep();                if (isModuleCode) {                      //将指令传递给py                    var address=ptr(instruction["address"]-moduleBase);                    send({                        type: 'inst',                        tid: tid,                        block: startAddress,                        val: JSON.stringify(instruction),                        jsname:"sktrace",                        moduleBase:moduleBase,                        address:address,                    })                                        //block执行结束后,再给python发个包通知下。                    iterator.putCallout((context) => {                        var callOutAddress=ptr(context.pc-moduleBase)                        send({                            type: 'ctx',                            tid: tid,                            val: JSON.stringify(context),                            jsname:"sktrace",                            moduleBase:moduleBase,                            address:callOutAddress                        })                     })                 }            } while (iterator.next() !== null);            // if(flag){            //     send(data)            // }        }    })} //对指定地址进行tracefunction traceAddr(addr) {    let moduleMap = new ModuleMap();    let targetModule = moduleMap.find(addr);    var msg=initMessage();    msg["data"]=JSON.stringify(targetModule);    send(msg);    let exports = targetModule.enumerateExports();    let symbols = targetModule.enumerateSymbols();     Interceptor.attach(addr, {        onEnter: function(args) {            this.tid = Process.getCurrentThreadId()              // 这里两种模式,有一个是c的模式来处理,方便直接在js中对二进制进行输出打印。            // stalkerTraceRangeC(this.tid, targetModule.base, targetModule.size)              // 这个模式是将结果传递到py里面进行输出            stalkerTraceRange(this.tid, targetModule.base, targetModule.size)        },        onLeave: function(ret) {            Stalker.unfollow(this.tid);            Stalker.garbageCollect()            send({                type: "fin",                tid: this.tid,                jsname:"sktrace"            })        }    })} //对指定符号函数,或者是指定地址进行tracefunction trace(symbol,offset){    const targetModule = Process.getModuleByName(libname);    moduleBase=targetModule.base;    let targetAddress = null;      //如果填了符号函数名,就优先根据函数名查找地址    if(symbol.length>0) {        targetAddress = targetModule.findExportByName(symbol);    } else if(offset.length>0) {        var offsetData=parseInt(offset,16);        targetAddress = targetModule.base.add(ptr(offsetData));    }    traceAddr(targetAddress)}


上面处理完了在js中获取每个block的指令,下面就是看py中如何处理解析这些指令进行打印。

def sktrace_message(self,p):              # 根据我们上面定义的结构,逐步解析        if "data" in p:            self.outlog(p["data"])            return        optype=p["type"]        # 如果这条推送数据是block中的指令        if optype=="inst":            # print(p)            inst=json.loads(p["val"])            address=int(p["address"],16)            oplist=[]            for opdata in inst["operands"]:                if opdata["type"]=="reg":                    if opdata["value"] not in oplist:                        oplist.append(opdata["value"])                elif opdata["type"]=="mem":                    memdata=opdata["value"]                    if memdata["base"] not in oplist:                        oplist.append(memdata["base"])            enddata = ""            for item in oplist:                enddata+="%s={%s} "%(item,item)            outdata="tid:%s address:%s %s %stt//%s"%(str(p["tid"]),str(hex(address)),inst["mnemonic"],inst["opStr"],enddata)            self.outlog(outdata)        elif optype=="ctx":        # 如果这个是当前block结束的通知            context=json.loads(p["val"])            address=int(p["address"],16)            self.outlog("tid:" +str(p["tid"])+" address:"+str(hex(address))+" context:"+ p["val"])        else:            self.outlog(json.dumps(p))


这段处理是来自我之前写的项目https://github.com/dqzg12300/fridaUiTools.git

 

简单测试过没啥问题。这里我就不详细测试这个作业了。




自研Unidbg trace工具实战ollvm反混淆


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自研Unidbg trace工具实战ollvm反混淆

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