CVE-2022-29199
Dashboard / Vulnerabilities / CVE-2022-29199
CVE-2022-29199
Summary: Missing validation causes denial of service in TensorFlow via `LoadAndRemapMatrix`
Details: 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.LoadAndRemapMatrix 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 assumes `initializing_values` is a vector but there is no validation for this before accessing its value. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue.
References: https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/load_and_remap_matrix_op.cc#L70-L98, https://github.com/tensorflow/tensorflow/releases/tag/v2.6.4, https://github.com/tensorflow/tensorflow/releases/tag/v2.7.2, https://github.com/tensorflow/tensorflow/releases/tag/v2.8.1, https://github.com/tensorflow/tensorflow/releases/tag/v2.9.0, https://github.com/CVEProject/cvelistV5/tree/main/cves/2022/29xxx/CVE-2022-29199.json, https://github.com/tensorflow/tensorflow/security/advisories/GHSA-p9rc-rmr5-529j, https://nvd.nist.gov/vuln/detail/CVE-2022-29199, https://github.com/tensorflow/tensorflow/commit/3150642acbbe254e3c3c5d2232143fa591855ac9
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