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, the implementation of `tf.raw_ops.Conv3DBackpropFilterV2` does not fully validate the input arguments. This results in a `CHECK`-failure which can be used to trigger a denial of service attack. The code does not validate that the `filter_sizes` argument is a vector. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
References
Link | Resource |
---|---|
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/conv_grad_ops_3d.cc | Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-5v77-j66x-4c4g | Exploit Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 | Release Notes Third Party Advisory |
https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 | Release Notes Third Party Advisory |
https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 | Release Notes Third Party Advisory |
https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 | Release Notes Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/174c5096f303d5be7ed2ca2662b08371bff4ab88 | Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2022-05-20 15:16
Updated : 2022-05-26 16:44
NVD link : CVE-2022-29196
Mitre link : CVE-2022-29196
JSON object : View
CWE
CWE-20
Improper Input Validation
Products Affected
- tensorflow