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.ragged.constant` does not fully validate the input arguments. This results in a denial of service by consuming all available memory. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly.
The product receives input that is expected to specify a quantity (such as size or length), but it does not validate or incorrectly validates that the quantity has the required properties.
Link | Tags |
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https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4 | third party advisory release notes |
https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2 | third party advisory release notes |
https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1 | third party advisory release notes |
https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0 | third party advisory release notes |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cwpm-f78v-7m5c | exploit third party advisory patch |
https://github.com/tensorflow/tensorflow/issues/55199 | issue tracking third party advisory patch |
https://github.com/tensorflow/tensorflow/commit/bd4d5583ff9c8df26d47a23e508208844297310e | third party advisory patch |
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/ops/ragged/ragged_factory_ops.py#L146-L239 | third party advisory |