CVE-2022-36013

TensorFlow CVE-2022-36013 describes a null-dereference crash in mlir::tfg::GraphDefImporter::ConvertNodeDef when converting NodeDefs without an op name. A fix is present in commit a0f0b9a21c9270930457095092f558fbad4c03e5 and will be included in TensorFlow 2.10.0; the patch will also beCherry-pick...

CVE-2022-36013

TensorFlow is an open source platform for machine learning. When mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes. We have patched the issue in GitHub commit a0f0b9a21c9270930457095092f558fbad4c03e5. The fix will be included in TensorFlow 2.10.0...

CVE-2022-36013 Null-dereference in `mlir::tfg::GraphDefImporter::ConvertNodeDef` in TensorFlow

TensorFlow is an open source platform for machine learning. When mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes. We have patched the issue in GitHub commit a0f0b9a21c9270930457095092f558fbad4c03e5. The fix will be included in TensorFlow 2.10.0...

TensorFlow vulnerable to `CHECK` fail in `LRNGrad`

Impact If LRNGrad is given an outputimage input tensor that is not 4-D, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf depthradius = 1 bias = 1.59018219 alpha = 0.117728651 beta = 0.404427052 inputgrads = tf.random.uniformshape=4,...

TensorFlow vulnerable to segfault in `RaggedBincount`

Impact If RaggedBincount is given an empty input tensor splits, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True splits = tf.random.uniformshape=0, minval=-10000, maxval=10000, dtype=tf.int64, seed=-7430 values =...

TensorFlow vulnerable to `CHECK` fail in `tf.linalg.matrix_rank`

Impact When tf.linalg.matrixrank receives an empty input a, the GPU kernel gives a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf a = tf.constant, shape=0, 1, 1, dtype=tf.float32 tf.linalg.matrixranka=a Patches We have patched the issue in GitHub...

GHSA-397C-5G2J-QXPV TensorFlow vulnerable to segfault in `SparseBincount`

Impact If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True indices = tf.random.uniformshape=, minval=-10000...

TensorFlow vulnerable to segfault in `SparseBincount`

Impact If SparseBincount is given inputs for indices, values, and denseshape that do not make a valid sparse tensor, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf binaryoutput = True indices = tf.random.uniformshape=, minval=-10000...

TensorFlow vulnerable to `CHECK` fail in `FractionalMaxPoolGrad`

Impact FractionalMaxPoolGrad validates its inputs with CHECK failures instead of with returning errors. If it gets incorrectly sized inputs, the CHECK failure can be used to trigger a denial of service attack: python import tensorflow as tf overlapping = True originput = tf.constant.453409232,...

TensorFlow vulnerable to segfault in `QuantizedRelu` and `QuantizedRelu6`

Impact If QuantizedRelu or QuantizedRelu6 are given nonscalar inputs for minfeatures or maxfeatures, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outtype = tf.quint8 features = tf.constant28, shape=4,2, dtype=tf.quint8 minfeatures...

TensorFlow vulnerable to segfault in `QuantizeDownAndShrinkRange`

Impact If QuantizeDownAndShrinkRange is given nonscalar inputs for inputmin or inputmax, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outtype = tf.quint8 input = tf.constant1, shape=3, dtype=tf.qint32 inputmin = tf.constant,...

TensorFlow vulnerable to segfault in `QuantizedMatMul`

Impact If QuantizedMatMul is given nonscalar input for: - mina - maxa - minb - maxb It gives a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf Toutput = tf.qint32 transposea = False transposeb = False Tactivation = tf.quint8 a = tf.constant7,...

TensorFlow vulnerable to segfault in `QuantizedBiasAdd`

Impact If QuantizedBiasAdd is given mininput, maxinput, minbias, maxbias tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. python import tensorflow as tf outtype = tf.qint32 input = tf.constant85,170,255, shape=3, dtype=tf.quint8 bias =...

CVE-2022-35994

CVE-2022-35994 is a denial-of-service issue in TensorFlow’s CollectiveGather when given a scalar input. Root cause: a CHECK failure in CollectiveGather. A patch was committed (c1f491817dec39a26be3c574e86a88c30f3c4770) and will be included in TensorFlow 2.10.0; the fix will also be cherry-picked t...

CVE-2022-35994 `CHECK` fail in `CollectiveGather` in TensorFlow

TensorFlow is an open source platform for machine learning. When CollectiveGather receives an scalar input input, it gives a CHECK fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c1f491817dec39a26be3c574e86a88c30f3c4770. The fix will be...

CVE-2022-35994

TensorFlow is an open source platform for machine learning. When CollectiveGather receives an scalar input input, it gives a CHECK fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit c1f491817dec39a26be3c574e86a88c30f3c4770. The fix will be...

CVE-2022-35993 `CHECK` fail in `SetSize` in TensorFlow

TensorFlow is an open source platform for machine learning. When SetSize receives an input setshape that is not a 1D tensor, it gives a CHECK fails that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit cf70b79d2662c0d3c6af74583641e345fc939467. The fix...

CVE-2022-35993

TensorFlow CVE-2022-35993 concerns a CHECK failure in SetSize when set_shape is not 1D, allowing a denial-of-service condition. The issue is attributed to SetSize input validation and is mitigated by a patch in commit cf70b79d2662c0d3c6af74583641e345fc939467, with fixes planned for TensorFlow 2.1...

CVE-2022-35992

TensorFlow’s CVE-2022-35992 affects TensorListFromTensor when element_shape has rank > 1, triggering a CHECK failure that can lead to denial of service. The issue is addressed by GitHub commit 3db59a042a38f4338aa207922fa2f476e000a6ee and will be fixed in TensorFlow 2.10.0; Red Hat and IBM advi...

CVE-2022-35992 `CHECK` fail in `TensorListFromTensor` in TensorFlow

TensorFlow is an open source platform for machine learning. When TensorListFromTensor receives an elementshape of a rank greater than one, it gives a CHECK fail that can trigger a denial of service attack. We have patched the issue in GitHub commit 3db59a042a38f4338aa207922fa2f476e000a6ee. The fi...