CVSS: 7.1EPSS: 0%CPEs: 9EXPL: 1CVE-2022-29208 – Segfault and Out-of-bounds Write write due to incomplete validation in TensorFlow
https://notcve.org/view.php?id=CVE-2022-29208
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.EditDistance` has incomplete validation. Users can pass negative values to cause a segmentation fault based denial of service. In multiple places throughout the code, one may compute an index for a write operation. However, the existing validation only checks against the upper bound of the array. • https://github.com/tensorflow/tensorflow/commit/30721cf564cb029d34535446d6a5a6357bebc8e7 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/tensorflow/tensorflow/security/advisories/GHSA-2r2f-g8mw-9gvr • CWE-787: Out-of-bounds Write •
CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1CVE-2022-29205 – Segfault due to missing support for quantized types in TensorFlow
https://notcve.org/view.php?id=CVE-2022-29205
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, there is a potential for segfault / denial of service in TensorFlow by calling `tf.compat.v1.*` ops which don't yet have support for quantized types, which was added after migration to TensorFlow 2.x. In these scenarios, since the kernel is missing, a `nullptr` value is passed to `ParseDimensionValue` for the `py_value` argument. Then, this is dereferenced, resulting in segfault. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. • https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L296-L320 https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/python/eager/pywrap_tfe_src.cc#L480-L482 https://github.com/tensorflow/tensorflow/commit/237822b59fc504dda2c564787f5d3ad9c4aa62d9 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 • CWE-476: NULL Pointer Dereference CWE-908: Use of Uninitialized Resource •
CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1CVE-2022-29206 – Missing validation results in undefined behavior in `SparseTensorDenseAdd` in TensorFlow
https://notcve.org/view.php?id=CVE-2022-29206
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.SparseTensorDenseAdd` does not fully validate the input arguments. In this case, a reference gets bound to a `nullptr` during kernel execution. This is undefined behavior. Versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4 contain a patch for this issue. • https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/sparse_tensor_dense_add_op.cc https://github.com/tensorflow/tensorflow/commit/11ced8467eccad9c7cb94867708be8fa5c66c730 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/tensorflow/tensorflow/security • CWE-20: Improper Input Validation CWE-476: NULL Pointer Dereference •
CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1CVE-2022-29207 – Undefined behavior when users supply invalid resource handles in TensorFlow
https://notcve.org/view.php?id=CVE-2022-29207
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, multiple TensorFlow operations misbehave in eager mode when the resource handle provided to them is invalid. In graph mode, it would have been impossible to perform these API calls, but migration to TF 2.x eager mode opened up this vulnerability. If the resource handle is empty, then a reference is bound to a null pointer inside TensorFlow codebase (various codepaths). This is undefined behavior. • https://github.com/tensorflow/tensorflow/commit/a5b89cd68c02329d793356bda85d079e9e69b4e7 https://github.com/tensorflow/tensorflow/commit/dbdd98c37bc25249e8f288bd30d01e118a7b4498 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/tensorflow/tensorflow/security/advisories/GHSA-5wpj-c6f7-24x8 • CWE-20: Improper Input Validation CWE-475: Undefined Behavior for Input to API •
CVSS: 5.5EPSS: 0%CPEs: 9EXPL: 1CVE-2022-29195 – Missing validation causes denial of service in TensorFlow via `StagePeek`
https://notcve.org/view.php?id=CVE-2022-29195
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.StagePeek` 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 `index` is a scalar 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. • https://github.com/tensorflow/tensorflow/blob/f3b9bf4c3c0597563b289c0512e98d4ce81f886e/tensorflow/core/kernels/stage_op.cc#L26 https://github.com/tensorflow/tensorflow/commit/cebe3c45d76357d201c65bdbbf0dbe6e8a63bbdb 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/tensorflow/tensorflow/security/advisories/ • CWE-20: Improper Input Validation •