PT-2026-59954

Impact If SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash. python import tensorflow as tf tf.raw ops.SparseFillEmptyRowsGrad reverse index map=, grad values=, name=None Patches We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will b...

PT-2026-59818

Impact If SparseFillEmptyRowsGrad is given empty inputs, TensorFlow will crash. python import tensorflow as tf tf.raw ops.SparseFillEmptyRowsGrad reverse index map=, grad values=, name=None Patches We have patched the issue in GitHub commit af4a6a3c8b95022c351edae94560acc61253a1b8. The fix will b...

PT-2026-59918

Impact If QuantizeAndDequantizeV3 is given a nonscalar num bits input tensor, it results in a CHECK fail that can be used to trigger a denial of service attack. python import tensorflow as tf signed input = True range given = False narrow range = False axis = -1 input = tf.constant-3.5, shape=1,...

PT-2026-59942

Impact An input sparse matrix that is not a matrix with a shape with rank 0 will trigger a CHECK fail in tf.raw ops.SparseMatrixNNZ. python import tensorflow as tf tf.raw ops.SparseMatrixNNZsparse matrix= Patches We have patched the issue in GitHub commit f856d02e5322821aad155dad9b3acab1e9f5d693...

PT-2026-59959

Impact If a numpy array is created with a shape such that one element is zero and the others sum to a large number, an error will be raised. E.g. the following raises an error: python np.ones0, 231, 231 An example of a proof of concept: python import numpy as np import tensorflow as tf input val ...

PT-2026-59749

Impact When mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes. cpp Status GraphDefImporter::ConvertNodeDefOpBuilder &builder, ConversionState &s, const NodeDef &node VLOG4 op def; else auto it = function op defs .findnode.op; if it == function op...

PT-2026-59764

Impact If LRNGrad is given an output image 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 depth radius = 1 bias = 1.59018219 alpha = 0.117728651 beta = 0.404427052 input grads =...

PT-2026-59998

Impact If a list of quantized tensors is assigned to an attribute, the pywrap code fails to parse the tensor and returns a nullptr, which is not caught. An example can be seen in tf.compat.v1.extract volume patches by passing in quantized tensors as input ksizes. python import numpy as np import...

PT-2026-59740

Impact python import os os.environ'TF ENABLE ONEDNN OPTS' = '0' import tensorflow as tf printtf. version with tf.device"CPU": ksize = 1, 40, 128, 1 strides = 1, 128, 128, 30 padding = "SAME" data format = "NHWC" orig input shape = 11, 9, 78, 9 grad = tf.saturate casttf.random.uniform16, 16, 16, 1...

PT-2026-59966

Impact When Unbatch receives a nonscalar input id, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg 0=tf.constantvalue=np.random.randomsize=3, 3, 1, dtype=tf.float64 arg 1=tf.constantvalue=np.random.randint0,100,size=3, 3, 1,...

PT-2026-59917

Impact If LRNGrad is given an output image 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 depth radius = 1 bias = 1.59018219 alpha = 0.117728651 beta = 0.404427052 input grads =...

PT-2026-59800

Impact If QuantizedInstanceNorm is given x min or x max 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 output range given = False given y min = 0 given y max = 0 variance epsilon = 1e-05 min separation =...

PT-2026-59965

Impact The AvgPoolOp function takes an argument ksize that must be positive but is not checked. A negative ksize can trigger a CHECK failure and crash the program. python import tensorflow as tf import numpy as np value = np.ones1, 1, 1, 1 ksize = 1, 1e20, 1, 1 strides = 1, 1, 1, 1 padding = 'SAM...

PT-2026-59899

Impact If tf.raw ops.TensorListResize is given a nonscalar value for input size, it results CHECK fail which can be used to trigger a denial of service attack. python import numpy as np import tensorflow as tf a = data structures.tf tensor list newelements = tf.constantvalue=3, 4, 5 b = np.zeros0...

PT-2026-59984

Impact In core/kernels/list kernels.cc's TensorListReserve, num elements is assumed to be a tensor of size 1. When a num elements of more than 1 element is provided, then tf.raw ops.TensorListReserve fails the CHECK EQ in CheckIsAlignedAndSingleElement. python import tensorflow as tf tf.raw...

PT-2026-59909

Impact When mlir::tfg::GraphDefImporter::ConvertNodeDef tries to convert NodeDefs without an op name, it crashes. cpp Status GraphDefImporter::ConvertNodeDefOpBuilder &builder, ConversionState &s, const NodeDef &node VLOG4 op def; else auto it = function op defs .findnode.op; if it == function op...

PT-2026-59745

Impact When converting transposed convolutions using per-channel weight quantization the converter segfaults and crashes the Python process. python import tensorflow as tf class QuantConv2DTransposedtf.keras.layers.Layer: def buildself, input shape: self.kernel = self.add weight"kernel", 3, 3,...

PT-2026-59876

Impact An input pooling ratio that is smaller than 1 will trigger a heap OOB in tf.raw ops.FractionalMaxPool and tf.raw ops.FractionalAvgPool. Patches We have patched the issue in GitHub commit 216525144ee7c910296f5b05d214ca1327c9ce48. The fix will be included in TensorFlow 2.11.0. We will also...

PT-2026-59921

Impact When TensorListFromTensor receives an element shape of a rank greater than one, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf arg 0=tf.random.uniformshape=6, 6, 2, dtype=tf.bfloat16, maxval=None arg 1=tf.random.uniformshape=6, 9, 1, 3,...

PT-2026-59978

Impact When tf.quantization.fake quant with min max vars gradient receives input min or max that is nonscalar, it gives a CHECK fail that can trigger a denial of service attack. python import tensorflow as tf import numpy as np arg 0=tf.constantvalue=np.random.randomsize=2, 2, shape=2, 2,...