CVE-2022-29196: Missing validation causes denial of service in TensorFlow via `Conv3DBackpropFilterV2`
First published: Fri May 20 2022(Updated: )
### Impact The implementation of [`tf.raw_ops.Conv3DBackpropFilterV2`](https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/conv_grad_ops_3d.cc) does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack: ```python import tensorflow as tf tf.raw_ops.Conv3DBackpropFilterV2( input=tf.constant(.5053710941, shape=[2,2,2,2,1], dtype=tf.float16), filter_sizes=tf.constant(0, shape=[], dtype=tf.int32), out_backprop=tf.constant(.5053710941, shape=[2,2,2,2,1], dtype=tf.float16), strides=[1, 1, 1, 1, 1], padding="VALID", data_format="NDHWC", dilations=[1, 1, 1, 1, 1]) ``` The code does not validate that the `filter_sizes` argument is a vector. ### Patches We have patched the issue in GitHub commit [174c5096f303d5be7ed2ca2662b08371bff4ab88](https://github.com/tensorflow/tensorflow/commit/174c5096f303d5be7ed2ca2662b08371bff4ab88). The fix will be included in TensorFlow 2.9.0. We will also cherrypick this commit on TensorFlow 2.8.1, TensorFlow 2.7.2, and TensorFlow 2.6.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by Neophytos Christou from Secure Systems Lab at Brown University.
Credit: security-advisories@github.com security-advisories@github.com security-advisories@github.com
| Affected Software | Affected Version | How to fix |
|---|---|---|
| pip/tensorflow-gpu | >=2.8.0<2.8.1 | 2.8.1 |
| pip/tensorflow-gpu | >=2.7.0<2.7.2 | 2.7.2 |
| pip/tensorflow-gpu | <2.6.4 | 2.6.4 |
| pip/tensorflow-cpu | >=2.8.0<2.8.1 | 2.8.1 |
| pip/tensorflow-cpu | >=2.7.0<2.7.2 | 2.7.2 |
| pip/tensorflow-cpu | <2.6.4 | 2.6.4 |
| pip/tensorflow | >=2.8.0<2.8.1 | 2.8.1 |
| pip/tensorflow | >=2.7.0<2.7.2 | 2.7.2 |
| pip/tensorflow | <2.6.4 | 2.6.4 |
| TensorFlow Keras | <2.6.4 | |
| TensorFlow Keras | >=2.7.0<2.7.2 | |
| TensorFlow Keras | =2.7.0-rc0 | |
| TensorFlow Keras | =2.7.0-rc1 | |
| TensorFlow Keras | =2.8.0 | |
| TensorFlow Keras | =2.8.0-rc0 | |
| TensorFlow Keras | =2.8.0-rc1 | |
| TensorFlow Keras | =2.9.0-rc0 | |
| TensorFlow Keras | =2.9.0-rc1 |
Never miss a vulnerability like this again
Sign up to SecAlerts for real-time vulnerability data matched to your software, aggregated from hundreds of sources.
Reference Links
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5v77-j66x-4c4g
- https://nvd.nist.gov/vuln/detail/CVE-2022-29196
- https://github.com/tensorflow/tensorflow/commit/174c5096f303d5be7ed2ca2662b08371bff4ab88
- https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/conv_grad_ops_3d.cc
- https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4
- https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2
- https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1
- https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0
- https://github.com/advisories/GHSA-5v77-j66x-4c4g (Advisory)
Frequently Asked Questions
What is the severity of CVE-2022-29196?
CVE-2022-29196 has been classified with a severity rating that indicates it can lead to unchecked input validation.
How do I fix CVE-2022-29196?
To mitigate CVE-2022-29196, upgrade to TensorFlow version 2.8.1 or later, 2.7.2, or 2.6.4.
What software is affected by CVE-2022-29196?
CVE-2022-29196 affects TensorFlow versions prior to 2.8.1, 2.7.2, and 2.6.4.
What causes CVE-2022-29196?
CVE-2022-29196 is caused by the implementation of tf.raw_ops.Conv3DBackpropFilterV2, which does not fully validate input arguments.
Can CVE-2022-29196 lead to system crashes?
Yes, CVE-2022-29196 can lead to application crashes due to unchecked input arguments.
- collector/github-advisory-latest
- alias/GHSA-5v77-j66x-4c4g
- alias/CVE-2022-29196
- collector/github-advisory
- agent/type
- agent/remedy
- agent/softwarecombine
- collector/mitre-cve
- source/MITRE
- agent/title
- agent/author
- agent/references
- agent/last-modified-date
- agent/weakness
- agent/severity
- agent/description
- agent/first-publish-date
- agent/event
- agent/trending
- agent/source
- agent/tags
- collector/nvd-api
- agent/software-canonical-lookup-request
- collector/nvd-cve
- collector/nvd-index
- package-manager/pip
- vendor/google
- canonical/tensorflow keras
- version/tensorflow keras/2.7.0
- version/tensorflow keras/2.7.0-rc0
- version/tensorflow keras/2.7.0-rc1
- version/tensorflow keras/2.8.0
- version/tensorflow keras/2.8.0-rc0
- version/tensorflow keras/2.8.0-rc1
- version/tensorflow keras/2.9.0-rc0
- version/tensorflow keras/2.9.0-rc1