This commit is contained in:
Cool-Y 2021-01-08 16:33:46 +08:00
parent ed60af1265
commit d80a1e043b
5 changed files with 474 additions and 17 deletions

View File

@ -77,11 +77,6 @@ time_format: HH:mm:ss
per_page: 10 per_page: 10
pagination_dir: page pagination_dir: page
search:
path: search.xml
field: post
format: html
limit: 10000
# Extensions # Extensions
## Plugins: https://hexo.io/plugins/ ## Plugins: https://hexo.io/plugins/

296
package-lock.json generated
View File

@ -493,6 +493,17 @@
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@ -13,6 +13,7 @@
"hexo-generator-baidu-sitemap": "^0.1.6", "hexo-generator-baidu-sitemap": "^0.1.6",
"hexo-generator-category": "^0.1.3", "hexo-generator-category": "^0.1.3",
"hexo-generator-index": "^0.2.1", "hexo-generator-index": "^0.2.1",
"hexo-generator-json-content": "^4.2.3",
"hexo-generator-search": "^2.4.0", "hexo-generator-search": "^2.4.0",
"hexo-generator-searchdb": "^1.3.3", "hexo-generator-searchdb": "^1.3.3",
"hexo-generator-sitemap": "^1.2.0", "hexo-generator-sitemap": "^1.2.0",

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@ -0,0 +1,165 @@
---
title: 自动化获取nvram配置
date: 2021-01-08 16:27:26
tags:
- Netgear
- UPnP
- NVRAM
- 固件模拟
categories:
- IOT
---
ARMX作者说nvram的内容必须从正在运行的设备中提取。
一种方法是转储包含nvram数据的mtdblock /proc/mtd可能有助于识别哪个mtdblock包含nvram。
另一种方法是如果您可以通过UART进行命令行访问当然可以访问实际的硬件某些固件会提供nvram命令运行“ nvram show”也可以获取nvram内容。
https://github.com/therealsaumil/armx/issues/4
知道创宇的研究人员说nvram配置可以查看对应的汇编代码逻辑配置的有问题的话很容易触发段错误
我需要无需硬件自动化的处理大批设备的nvram配置上面两种方法都无法适用。但我发现Netgear的nvram配置有这两个te'd
* upnp等二进制程序通过nvram_match来匹配nvram变量与预期值
* libnvram在data段存储了设备的默认nvram配置**数据段**data segment通常是指用来存放[程序](https://zh.wikipedia.org/wiki/%E7%A8%8B%E5%BA%8F)中已[初始化且不为0](https://zh.wikipedia.org/w/index.php?title=%E5%88%9D%E5%A7%8B%E5%8C%96%E4%B8%94%E4%B8%8D%E4%B8%BA0&action=edit&redlink=1)的[全局变量](https://zh.wikipedia.org/wiki/%E5%85%A8%E5%B1%80%E5%8F%98%E9%87%8F)的一块内存区域。数据段属于[静态内存分配](https://zh.wikipedia.org/wiki/%E9%9D%99%E6%80%81%E5%86%85%E5%AD%98%E5%88%86%E9%85%8D)。
于是根据这两个事实做了两个实验:
## match函数
该函数的逻辑如下a1为要查询的keya2为待比较的对应value调用nvram_get获得nvram中a1的value然后和a2比较相同的话返回1。
```
const char *__fastcall acosNvramConfig_match(int a1, const char *a2)
{
const char *v2; // r4
const char *result; // r0
int v4; // [sp+0h] [bp-1008h]
v2 = a2;
result = (const char *)j_nvram_get(a1, &v4, 4096);
if ( result )
result = (const char *)(strcmp(result, v2) == 0);
return result;
}
```
在upnp二进制程序汇编代码中调用acosNvramConfig_match来比较nvram
![](https://res.cloudinary.com/dozyfkbg3/image/upload/v1610094619/nvram/image_24.png)
我做出了一个假设所有a2都是能够使程序正常运行的nvram值现在想要获取它。编写IDA脚本如下
```
def GetAddr(func_name):
func_list = Functions()
for func in func_list:
name = GetFunctionName(func)
if func_name == name:
print(name,hex(func))
func_addr=func
return func_addr
func_addr = GetAddr('acosNvramConfig_match')
#func_addr=0xa3d4
for x in XrefsTo(func_addr,flags=0):
print "XrefsTo nvram-match func addr: %s"%hex(x.frm)
match_addr = x.frm
val_addr = PrevHead(match_addr)
key_addr = PrevHead(val_addr)
if GetMnem(key_addr) == 'LDR':
instr = GetDisasm(prevaddr)
#print('LDR instruction: %s'%instr)
addr = GetOperandValue(key_addr,1)
key = GetString(Dword(addr))
print('nvram key: %s'%key)
if GetMnem(val_addr) == 'LDR':
instr = GetDisasm(prevaddr)
#print('LDR instruction: %s'%instr)
addr = GetOperandValue(val_addr,1)
val = GetString(Dword(addr))
print('nvram value: %s'%val)
```
1. GetAddr(func_name) 根据函数名获得地址,这里获得了'acosNvramConfig_match'的地址0xa3d4
2. 找到所有引用过该函数的地址并且提取作为参数的数据。获取到函数的引用非常的简单只需要使用XrefsTo()这个API函数就能达到我们的目的。
3. value是调用match函数的前一条指令key是调用match函数的前两条指令操作码都是LDR;
4. 使用GetOperandValue() 这个指令得到第二个操作数的值。注意该值存放的是“存放字符串地址”的地址
5. 使用Dword(addr)获取“存放字符串地址”使用GetString()这个API函数从该偏移提取字符串
粘贴部分结果,有大量的重复,还有许多键值不存在,假设不成立。
```
('acosNvramConfig_match', '0xa3d4L')
XrefsTo nvram-match func addr: 0xc940L
nvram key: qos_bw_set_sel
nvram value: 1
XrefsTo nvram-match func addr: 0xc9b4L
nvram key: qos_bw_enable
nvram value: 1
XrefsTo nvram-match func addr: 0xfbd0L
nvram key: wlg_band
nvram value: 2.4G
XrefsTo nvram-match func addr: 0xfc84L
nvram value: 5G
XrefsTo nvram-match func addr: 0xff70L
nvram key: wlg_band
nvram value: 2.4G
nvram value: static
XrefsTo nvram-match func addr: 0x13d2cL
nvram key: board_id
nvram value: U12H127T00_NETGEAR
```
## NVRAM默认配置
如上所述libnvram.so中data段存放着默认配置
![](https://res.cloudinary.com/dozyfkbg3/image/upload/v1610094620/nvram/image_23.png)
利用IDApython获取该区域存放的键值注意该区域并不存放字符串而是存放“存放字符串地址处”的地址所以也要通过Doword来获取实际地址
```
import idautils
for seg in idautils.Segments():
if SegName(seg) == '.data':
start = idc.SegStart(seg)
end = idc.SegEnd(seg)
print idc.SegName(seg),start,end
while(start!=end):
key = GetString(Dword(start))
if key != None and key != '0':
start += 4
val = GetString(Dword(start))
if 'upnp' in key:
print('%s=%s'%(key,val))
start += 4
```
这里我们只关注有upnp特征的键值对
```
.data [77868 94004](tel:7786894004)
upnp_enable=1
upnp_turn_on=1
upnp_advert_period=30
upnp_advert_ttl=4
upnp_portmap_entry=0
upnp_duration=3600
upnp_DHCPServerConfigurable=1
```
另外再补充几个与网络有关的配置
```
friendly_name=Netgear
lan_hwaddr=AA:BB:CC:DD:EE:FF
lan_ipaddr=192.168.2.2
```
使用这个配置成功仿真~
## 一些IDApython使用方法
蒸米写的https://wooyun.js.org/drops/IDAPython%20%E8%AE%A9%E4%BD%A0%E7%9A%84%E7%94%9F%E6%B4%BB%E6%9B%B4%E6%BB%8B%E6%B6%A6%20part1%20and%20part2.html
https://cartermgj.github.io/2017/10/10/ida-python/
https://gitee.com/it-ebooks/it-ebooks-2018-04to07/raw/master/IDAPython%20%E5%88%9D%E5%AD%A6%E8%80%85%E6%8C%87%E5%8D%97.pdf
https://www.0xaa55.com/thread-1586-1-1.html
https://wizardforcel.gitbooks.io/grey-hat-python/content/43.html

View File

@ -611,19 +611,19 @@ algolia_search:
# Local search # Local search
# Dependencies: https://github.com/flashlab/hexo-generator-search # Dependencies: https://github.com/flashlab/hexo-generator-search
local_search: # local_search:
enable: true # enable: true
# if auto, trigger search by changing input # # if auto, trigger search by changing input
# if manual, trigger search by pressing enter key or search button # # if manual, trigger search by pressing enter key or search button
trigger: auto # trigger: auto
# show top n results per article, show all results by setting to -1 # # show top n results per article, show all results by setting to -1
top_n_per_article: 1 # top_n_per_article: 1
search: # search:
path: search.xml # path: search.xml
field: post # field: post
format: html # format: html
limit: 10000 # limit: 10000
# --------------------------------------------------------------- # ---------------------------------------------------------------
# Tags Settings # Tags Settings