CVE-2021-29602: Division by zero in TFLite's implementation of `DepthwiseConv`
(updated )
The implementation of the DepthwiseConv TFLite operator is vulnerable to a division by zero error:
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.
References
- github.com/advisories/GHSA-rf3h-xgv5-2q39
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-530.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-728.yaml
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-239.yaml
- github.com/tensorflow/tensorflow
- github.com/tensorflow/tensorflow/blob/1a8e885b864c818198a5b2c0cbbeca5a1e833bc8/tensorflow/lite/kernels/depthwise_conv.cc
- github.com/tensorflow/tensorflow/commit/cbda3c6b2dbbd3fbdc482ff8c0170a78ec2e97d0
- github.com/tensorflow/tensorflow/security/advisories/GHSA-rf3h-xgv5-2q39
- nvd.nist.gov/vuln/detail/CVE-2021-29602
Code Behaviors & Features
Detect and mitigate CVE-2021-29602 with GitLab Dependency Scanning
Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Dependency Scanning using SBOM also detects vulnerabilities from proprietary advisories that this site does not include. Learn more about Dependency Scanning using SBOM →