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.QuantizedConv2D` does not fully validate the input arguments. In this case, references get bound to `nullptr` for each argument that is empty. 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.
Link | Tags |
---|---|
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-pqhm-4wvf-2jg8 | exploit third party advisory patch |
https://github.com/tensorflow/tensorflow/commit/0f0b080ecde4d3dfec158d6f60da34d5e31693c4 | third party advisory patch |
https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/quantized_conv_ops.cc | third party advisory |