CVE-2022-29200: Improper Input Validation
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.LSTMBlockCell
does not fully validate the input arguments. This results in a CHECK
-failure which can be used to trigger a denial of service attack. The code does not validate the ranks of any of the arguments to this API call. This results in CHECK
-failures when the elements of the tensor are accessed. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
References
- github.com/advisories/GHSA-2vv3-56qg-g2cf
- github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/rnn/lstm_ops.cc
- github.com/tensorflow/tensorflow/commit/803404044ae7a1efac48ba82d74111fce1ddb09a
- github.com/tensorflow/tensorflow/releases/tag/v2.6.4
- github.com/tensorflow/tensorflow/releases/tag/v2.7.2
- github.com/tensorflow/tensorflow/releases/tag/v2.8.1
- github.com/tensorflow/tensorflow/releases/tag/v2.9.0
- github.com/tensorflow/tensorflow/security/advisories/GHSA-2vv3-56qg-g2cf
- nvd.nist.gov/vuln/detail/CVE-2022-29200
Detect and mitigate CVE-2022-29200 with GitLab Dependency Scanning
Secure your software supply chain by verifying that all open source dependencies used in your projects contain no disclosed vulnerabilities. Learn more about Dependency Scanning →