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Advisory Package Curation

CVE-2021-29602

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Advisory Summaries

github_osv/GHSA-rf3h-xgv5-2q39

Division by zero in TFLite's implementation of `DepthwiseConv` ### Impact The implementation of the `DepthwiseConv` TFLite operator is vulnerable to a division by zero error https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288: ```cc int num_input_channels = SizeOfDimension(input, 3); TF_LITE_ENSURE_EQ(context, num_filter_channels % num_input_channels, 0); ``` An attacker can craft a model such that `input`'s fourth dimension would be 0. ### Patches We have patched the issue in GitHub commit cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0 https://github.com/tensorflow/tensorflow/commit/cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, 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 members of the Aivul Team from Qihoo 360.

gitlab/pypi/tensorflow/CVE-2021-29602

Division by zero in TFLite's implementation of `DepthwiseConv` The implementation of the `DepthwiseConv` TFLite operator is vulnerable to a division by zero error https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288: ```cc int num_input_channels = SizeOfDimension(input, 3); TF_LITE_ENSURE_EQ(context, num_filter_channels % num_input_channels, 0); ``` An attacker can craft a model such that `input`'s fourth dimension would be 0.

pypa/tensorflow/PYSEC-2021-239

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `DepthwiseConv` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288). An attacker can craft a model such that `input`'s fourth dimension would be 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

pysec/PYSEC-2021-239

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `DepthwiseConv` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288). An attacker can craft a model such that `input`'s fourth dimension would be 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.