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Python's built-in serialization modules, such as pickle and cPickle, PyYaml, are commonly used for serializing and deserializing data. However, if the deserialization process is not properly secured, it can be exploited by attackers to execute arbitrary code or perform other malicious activities.
Since PyYaml version 5.4, the default loader for load
has been switched to SafeLoader
mitigating the risks against Remote Code Execution.
The vulnerable sinks are now:
On PyYaml versions >= 5.1 (and inferior to 5.4) we can use following functions
On PyYaml versions inferior to 5.1 we can use following functions
To deserialize in ruamel.yaml , following methods are vulnerable to arbitrary code execution:
The python pickle
and cPickle
(implementation of Pickle in C) modules, that serializes and deserializes a Python object, are vulnerables to remote code execution. If the website uses this modules, we may be able to execute arbitrary code.
With Pickle deserialization ,the following code is vulnerable to arbitrary code execution using the pickle.load()
function without proper sanitization of the input.
With jsonPickle deserialization ,the following code is vulnerable to arbitrary code execution using the jsonpickle.decode()
function without proper sanitization of the input.
The tool can be used to generate payloads. It create serialized payload for deserialization RCE attack on python driven applications where pickle ,pyYAML, ruamel.yaml or jsonpickle module is used for deserialization of serialized data.
The tool can be used to generate payloads. It create serialized payload for deserialization RCE attack on python driven applications where pickle ,pyYAML, ruamel.yaml or jsonpickle module is used for deserialization of serialized data.
The tool can be used to generate payloads. It create serialized payload for deserialization RCE attack on python driven applications where pickle ,pyYAML, ruamel.yaml or jsonpickle module is used for deserialization of serialized data.
is a python library for serializing any arbitrary object graph into JSON.
The tool can be used to generate payloads. It create serialized payload for deserialization RCE attack on python driven applications where pickle ,pyYAML, ruamel.yaml or jsonpickle module is used for deserialization of serialized data.