PYSEC-2026-3100 `CHECK`-failures in `TensorByteSize` in Tensorflow

Impact A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. cc int64t TensorByteSizeconst TensorProto& t // numelements returns -1 if shape is not fully defined. int64t numelems = TensorShapet.tensorshape.numelements; retur...

PYSEC-2026-3135 Null-dereference in Tensorflow

Impact The implementation of GetInitOp is vulnerable to a crash caused by dereferencing a null pointer: cc const auto& initopsigit = metagraphdef.signaturedef.findkSavedModelInitOpSignatureKey; if initopsigit != sigdefmap.end initopname = initopsigit-second.outputs...

PYSEC-2026-3158 Memory exhaustion in Tensorflow

Impact The implementation of ThreadPoolHandle can be used to trigger a denial of service attack by allocating too much memory: python import tensorflow as tf y = tf.rawops.ThreadPoolHandlenumthreads=0x60000000,displayname='tf' This is because the numthreads argument is only checked to not be...

Integer overflow in Tensorflow

ImpactThe implementation of Range suffers from integer overflows. These can trigger undefined behavior or, in some scenarios, extremely large allocations. PatchesWe have patched the issue in GitHub commit f0147751fd5d2ff23251149ebad9af9f03010732 merging 51733.The fix will be included in TensorFlo...

PYSEC-2026-3095 Division by zero in TFLite

Impact An attacker can craft a TFLite model that would trigger a division by zero in the implementation of depthwise convolutions. The parameters of the convolution can be user controlled and are also used within a division operation to determine the size of the padding that needs to be added...

PYSEC-2026-3240 Integer overflows in Tensorflow

Impact The implementations of SparseCwise ops are vulnerable to integer overflows. These can be used to trigger large allocations so, OOM based denial of service or CHECK-fails when building new TensorShape objects so, assert failures based denial of service: python import tensorflow as tf import...

PYSEC-2026-3084 Stack overflow in TensorFlow

Impact The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel: library function signature name: "SomeOp" description:...

PYSEC-2026-3127 Out of bounds read and write in Tensorflow

Impact There is a typo in TensorFlow's SpecializeType which results in heap OOB read/write: cc for int i = 0; i argssize; j++ auto arg = t-mutableargsi; // ... Due to a typo, arg is initialized to the ith mutable argument in a loop where the loop index is j. Hence it is possible to assign to arg...

PYSEC-2026-1956 TensorFlow has Null Pointer Error in SparseSparseMaximum

Impact When SparseSparseMaximum is given invalid sparse tensors as inputs, it can give an NPE. python import tensorflow as tf tf.rawops.SparseSparseMaximum aindices=1, avalues = 0.1 , ashape = 2, bindices=, bvalues =2 , bshape = 2, Patches We have patched the issue in GitHub commit...

PYSEC-2026-956 TensorFlow has Floating Point Exception in TensorListSplit with XLA

Impact FPE in TensorListSplit with XLA python import tensorflow as tf func = tf.rawops.TensorListSplit para = 'tensor': 1, 'elementshape': -1, 'lengths': 0 @tf.functionjitcompile=True def fuzzjit: y = funcpara return y printfuzzjit Patches We have patched the issue in GitHub commit...

PYSEC-2026-960 TensorFlow vulnerable to Out-of-Bounds Read in GRUBlockCellGrad

Impact Out of bounds read in GRUBlockCellGrad python func = tf.rawops.GRUBlockCellGrad para = 'x': 21.1, 156.2, 83.3, 115.4, 'hprev': array136.5, 136.6, 'wru': array26.7, 0.8, 47.9, 26.1, 26.2, 26.3, 'wc': array 0.4, 31.5, 0.6, 'bru': array0.1, 0.2 , dtype=float32, 'bc': 0x41414141, 'r': array0.3...

PYSEC-2026-951 Overflow in `ImageProjectiveTransformV2`

Impact When tf.rawops.ImageProjectiveTransformV2 is given a large output shape, it overflows. python import tensorflow as tf interpolation = "BILINEAR" fillmode = "REFLECT" images = tf.constant0.184634328, shape=2,5,8,3, dtype=tf.float32 transforms = tf.constant0.378575385, shape=2,8,...

PYSEC-2026-1050 Segfault via invalid attributes in `pywrap_tfe_src.cc`

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.extractvolumepatches by passing in quantized tensors as input ksizes. python import numpy as np import...

PYSEC-2026-980 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...

PYSEC-2026-1047 TensorFlow vulnerable to Int overflow in `RaggedRangeOp`

Impact The RaggedRangOp function takes an argument limits that is eventually used to construct a TensorShape as an int64. If limits is a very large float, it can overflow when converted to an int64. This triggers an InvalidArgument but also throws an abort signal that crashes the program. python...

PYSEC-2026-996 TensorFlow vulnerable to `CHECK`-fail in `tensorflow::full_type::SubstituteFromAttrs`

Impact When tensorflow::fulltype::SubstituteFromAttrs receives a FullTypeDef& t that is not exactly three args, it triggers a CHECK-fail instead of returning a status. cpp Status SubstituteForEachAttrMap& attrs, FullTypeDef& t DCHECKEQt.argssize, 3; const auto& cont = t.args0; const auto& tmpl =...

PYSEC-2026-987 TensorFlow vulnerable to `CHECK` failure in tf.reshape via overflows

Impact The implementation of tf.reshape op in TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure caused by overflowing the number of elements in a tensor: python import tensorflow as tf tf.reshapetensor=1,shape=tf.constant0 for i in range255, dtype=tf.int64 This i...

PYSEC-2026-974 TensorFlow vulnerable to `CHECK` failure in `SobolSample` via missing validation

Impact The implementation of SobolSampleOp is vulnerable to a denial of service via CHECK-failure assertion failure caused by assuming input0, input1, and input2 to be scalar. python import tensorflow as tf tf.rawops.SobolSampledim=tf.constant1,0, numresults=tf.constant1, skip=tf.constant1 Patche...

PYSEC-2026-1026 Missing validation results in undefined behavior in `QuantizedConv2D`

Impact The implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments: python import tensorflow as tf input = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad args mininput = tf.constant, shape=0,...

CVE-2026-13534

A vulnerability was detected in CherryHQ cherry-studio up to 1.9.7. This affects the function sha256 of the file src/main/services/memory/MemoryService.ts of the component CherryIN Preload API. Performing a manipulation of the argument state results in authorization bypass. The attack can be...