cve/2022/CVE-2022-29205.md

### [CVE-2022-29205](https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2022-29205)
![](https://img.shields.io/static/v1?label=Product&message=tensorflow&color=blue)
![](https://img.shields.io/static/v1?label=Version&message=n%2Fa&color=blue)
![](https://img.shields.io/static/v1?label=Vulnerability&message=CWE-476%3A%20NULL%20Pointer%20Dereference&color=brighgreen)
![](https://img.shields.io/static/v1?label=Vulnerability&message=CWE-908%3A%20Use%20of%20Uninitialized%20Resource&color=brighgreen)

### Description

TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.

### POC

#### Reference
No PoCs from references.

#### Github
- https://github.com/ARPSyndicate/cvemon
- https://github.com/skipfuzz/skipfuzz