GHSA-rf3h-xgv5-2q39
Dashboard / Vulnerabilities / GHSA-rf3h-xgv5-2q39
GHSA-rf3h-xgv5-2q39
Summary: Division by zero in TFLite's implementation of `DepthwiseConv`
Details: ### 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.
References: https://github.com/tensorflow/tensorflow/security/advisories/GHSA-rf3h-xgv5-2q39, https://nvd.nist.gov/vuln/detail/CVE-2021-29602, https://github.com/tensorflow/tensorflow/commit/cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-530.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-728.yaml, https://github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-239.yaml, https://github.com/tensorflow/tensorflow, https://github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc#L287-L288
Affected packages
Package
Name: tensorflow
Purl: pkg:pypi/tensorflow
Affected ranges
Type: ECOSYSTEM
Events:
