Invalid validation in `SparseMatrixSparseCholesky`

Impact An attacker can trigger a null pointer dereference by providing an invalid permutation to tf.rawops.SparseMatrixSparseCholesky: python import tensorflow as tf import numpy as np from tensorflow.python.ops.linalg.sparse import sparsecsrmatrixops indicesarray = np.array0, 0 valuearray =...

GHSA-JFP7-4J67-8R3Q Heap buffer overflow caused by rounding

Impact An attacker can trigger a heap buffer overflow in tf.rawops.QuantizedResizeBilinear by manipulating input values so that float rounding results in off-by-one error in accessing image elements: python import tensorflow as tf l = 256, 328, 361, 17, 361, 361, 361, 361, 361, 361, 361, 361, 361...

Heap buffer overflow caused by rounding

Impact An attacker can trigger a heap buffer overflow in tf.rawops.QuantizedResizeBilinear by manipulating input values so that float rounding results in off-by-one error in accessing image elements: python import tensorflow as tf l = 256, 328, 361, 17, 361, 361, 361, 361, 361, 361, 361, 361, 361...

GHSA-6F84-42VF-PPWP Division by 0 in `QuantizedMul`

Impact An attacker can trigger a division by 0 in tf.rawops.QuantizedMul: python import tensorflow as tf x = tf.zeros4, 1, dtype=tf.quint8 y = tf.constant, dtype=tf.quint8 minx = tf.constant0.0 maxx = tf.constant0.0010000000474974513 miny = tf.constant0.0 maxy = tf.constant0.0010000000474974513...

Division by 0 in `QuantizedMul`

Impact An attacker can trigger a division by 0 in tf.rawops.QuantizedMul: python import tensorflow as tf x = tf.zeros4, 1, dtype=tf.quint8 y = tf.constant, dtype=tf.quint8 minx = tf.constant0.0 maxx = tf.constant0.0010000000474974513 miny = tf.constant0.0 maxy = tf.constant0.0010000000474974513...

Division by 0 in `QuantizedConv2D`

Impact An attacker can trigger a division by 0 in tf.rawops.QuantizedConv2D: python import tensorflow as tf input = tf.zeros1, 1, 1, 1, dtype=tf.quint8 filter = tf.constant, shape=1, 0, 1, 1, dtype=tf.quint8 mininput = tf.constant0.0 maxinput = tf.constant0.0001 minfilter = tf.constant0.0 maxfilt...

GHSA-X4G7-FVJJ-PRG8 Division by 0 in `QuantizedConv2D`

Impact An attacker can trigger a division by 0 in tf.rawops.QuantizedConv2D: python import tensorflow as tf input = tf.zeros1, 1, 1, 1, dtype=tf.quint8 filter = tf.constant, shape=1, 0, 1, 1, dtype=tf.quint8 mininput = tf.constant0.0 maxinput = tf.constant0.0001 minfilter = tf.constant0.0 maxfilt...

Division by 0 in `Conv2D`

Impact An attacker can trigger a division by 0 in tf.rawops.Conv2D: python import tensorflow as tf input = tf.constant, shape=0, 0, 0, 0, dtype=tf.float32 filter = tf.constant, shape=0, 0, 0, 0, dtype=tf.float32 strides = 1, 1, 1, 1 padding = "SAME" tf.rawops.Conv2Dinput=input, filter=filter,...

Division by 0 in `Conv2DBackpropInput`

Impact An attacker can trigger a division by 0 in tf.rawops.Conv2DBackpropInput: python import tensorflow as tf inputtensor = tf.constant52, 1, 1, 5, shape=4, dtype=tf.int32 filtertensor = tf.constant, shape=0, 1, 5, 0, dtype=tf.float32 outbackprop = tf.constant, shape=52, 1, 1, 0, dtype=tf.float...

GHSA-XM2V-8RRW-W9PM Division by 0 in `Conv2DBackpropInput`

Impact An attacker can trigger a division by 0 in tf.rawops.Conv2DBackpropInput: python import tensorflow as tf inputtensor = tf.constant52, 1, 1, 5, shape=4, dtype=tf.int32 filtertensor = tf.constant, shape=0, 1, 5, 0, dtype=tf.float32 outbackprop = tf.constant, shape=52, 1, 1, 0, dtype=tf.float...

Division by 0 in `Conv2DBackpropFilter`

Impact An attacker can trigger a division by 0 in tf.rawops.Conv2DBackpropFilter: python import tensorflow as tf inputtensor = tf.constant, shape=0, 0, 1, 0, dtype=tf.float32 filtersizes = tf.constant1, 1, 1, 1, shape=4, dtype=tf.int32 outbackprop = tf.constant, shape=0, 0, 1, 1, dtype=tf.float32...

GHSA-2CPX-427X-Q2C6 CHECK-fail in AddManySparseToTensorsMap

Impact An attacker can trigger a denial of service via a CHECK-fail in tf.rawops.AddManySparseToTensorsMap: python import tensorflow as tf import numpy as np sparseindices = tf.constant530, shape=1, 1, dtype=tf.int64 sparsevalues = tf.ones1, dtype=tf.int64 shape = tf.Variabletf.ones55,...

CHECK-fail in AddManySparseToTensorsMap

Impact An attacker can trigger a denial of service via a CHECK-fail in tf.rawops.AddManySparseToTensorsMap: python import tensorflow as tf import numpy as np sparseindices = tf.constant530, shape=1, 1, dtype=tf.int64 sparsevalues = tf.ones1, dtype=tf.int64 shape = tf.Variabletf.ones55,...

Division by 0 in `Conv3DBackprop*`

Impact The tf.rawops.Conv3DBackprop operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0: python import tensorflow as tf inputsizes = tf.constant0, 0, 0, 0, 0, shape=5, dtype=tf.int32 filtertensor = tf.constant, shape=0, 0, 0, 1, 0,...

GHSA-C968-PQ7H-7FXV Division by 0 in `Conv3DBackprop*`

Impact The tf.rawops.Conv3DBackprop operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0: python import tensorflow as tf inputsizes = tf.constant0, 0, 0, 0, 0, shape=5, dtype=tf.int32 filtertensor = tf.constant, shape=0, 0, 0, 1, 0,...

Segfault in SparseCountSparseOutput

Impact Specifying a negative dense shape in tf.rawops.SparseCountSparseOutput results in a segmentation fault being thrown out from the standard library as std::vector invariants are broken. python import tensorflow as tf indices = tf.constant, shape=0, 0, dtype=tf.int64 values = tf.constant,...

Heap buffer overflow in `Conv3DBackprop*`

Impact Missing validation between arguments to tf.rawops.Conv3DBackprop operations can result in heap buffer overflows: python import tensorflow as tf inputsizes = tf.constant1, 1, 1, 1, 2, shape=5, dtype=tf.int32 filtertensor = tf.constant734.6274508233133, -10.0, -10.0, -10.0, -10.0, -10.0,...

GHSA-WCV5-QRJ6-9PFM Heap buffer overflow in `Conv3DBackprop*`

Impact Missing validation between arguments to tf.rawops.Conv3DBackprop operations can result in heap buffer overflows: python import tensorflow as tf inputsizes = tf.constant1, 1, 1, 1, 2, shape=5, dtype=tf.int32 filtertensor = tf.constant734.6274508233133, -10.0, -10.0, -10.0, -10.0, -10.0,...

CHECK-fail in SparseCross due to type confusion

Impact The API of tf.rawops.SparseCross allows combinations which would result in a CHECK-failure and denial of service: python import tensorflow as tf hashedoutput = False numbuckets = 1949315406 hashkey = 1869835877 outtype = tf.string internaltype = tf.string indices1 = tf.constant0, 6, shape=...

Session operations in eager mode lead to null pointer dereferences

Impact In eager mode default in TF 2.0 and later, session operations are invalid. However, users could still call the raw ops associated with them and trigger a null pointer dereference: python import tensorflow as tf tf.rawops.GetSessionTensorhandle='\x12\x1a\x07',dtype=4 python import tensorflo...