PYSEC-2026-3207 Integer overflow in `SpaceToBatchND`

Impact The implementation of tf.rawops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow: python import tensorflow as tf input = tf.constant-3.5e+35, shape=10,19,22, dtype=tf.float32 blockshape = tf.constant-1879048192, shape=2, dtype=tf.int64...

PYSEC-2026-3312 Denial of service in `tf.ragged.constant` due to lack of validation

Impact The implementation of tf.ragged.constant does not fully validate the input arguments. This results in a denial of service by consuming all available memory: python import tensorflow as tf tf.ragged.constantpylist=,raggedrank=8968073515812833920 Patches We have patched the issue in GitHub...

PYSEC-2026-3267 Missing validation causes denial of service via `LSTMBlockCell`

Impact The implementation of tf.rawops.LSTMBlockCell does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf tf.rawops.LSTMBlockCell x=tf.constant0.837607, shape=28,29, dtype=tf.float32,...

PYSEC-2026-3341 Missing validation causes denial of service via `UnsortedSegmentJoin`

Impact The implementation of tf.rawops.UnsortedSegmentJoin does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf tf.rawops.UnsortedSegmentJoin inputs=tf.constant"this", shape=12,...

PYSEC-2026-3179 Missing validation causes denial of service via `GetSessionTensor`

Impact The implementation of tf.rawops.GetSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf handle = tf.constant"", shape=0, dtype=tf.string...

PYSEC-2026-3197 Missing validation causes denial of service via `DeleteSessionTensor`

Impact The implementation of tf.rawops.DeleteSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf handle = tf.constant"", shape=0, dtype=tf.string...

PYSEC-2026-3324 Missing validation causes denial of service via `GetSessionTensor`

Impact The implementation of tf.rawops.GetSessionTensor does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import tensorflow as tf handle = tf.constant"", shape=0, dtype=tf.string...

PYSEC-2026-3265 Missing validation causes `TensorSummaryV2` to crash

Impact The implementation of tf.rawops.TensorSummaryV2 does not fully validate the input arguments. This results in a CHECK-failure which can be used to trigger a denial of service attack: python import numpy as np import tensorflow as tf tf.rawops.TensorSummaryV2 tag=np.array'test',...

PYSEC-2026-3160 Integer overflow in Tensorflow

Impact The implementation of OpLevelCostEstimator::CalculateTensorSize is vulnerable to an integer overflow if an attacker can create an operation which would involve a tensor with large enough number of elements: cc int64t OpLevelCostEstimator::CalculateTensorSize const OpInfo::TensorProperties&...

PYSEC-2026-3108 `CHECK`-failures during Grappler's `SafeToRemoveIdentity` in Tensorflow

Impact The Grappler optimizer in TensorFlow can be used to cause a denial of service by altering a SavedModel such that SafeToRemoveIdentity would trigger CHECK failures. Patches We have patched the issue in GitHub commit 92dba16749fae36c246bec3f9ba474d9ddeb7662. The fix will be included in...

PYSEC-2026-3145 Memory exhaustion in Tensorflow

Impact The implementation of StringNGrams can be used to trigger a denial of service attack by causing an OOM condition after an integer overflow: python import tensorflow as tf tf.rawops.StringNGrams data='123456', datasplits=0,1, separator='a'15, ngramwidths=, leftpad='', rightpad='',...

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...

PYSEC-2026-3109 Out of bounds write in Tensorflow

Impact TensorFlow is vulnerable to a heap OOB write in Grappler: cc Status SetUnknownShapeconst NodeDef node, int outputport shapeinference::ShapeHandle shape = GetUnknownOutputShapenode, outputport; InferenceContext ctx = GetContextnode; if ctx == nullptr return errors::InvalidArgument"Missing...

PYSEC-2026-3085 Use after free in `DecodePng` kernel

Impact A malicious user can cause a use after free behavior when decoding PNG images: cc if / ... error conditions ... / png::CommonFreeDecode&decode; OPREQUIREScontext, false, errors::InvalidArgument"PNG size too large for int: ", decode.width, " by ", decode.height; After...

PYSEC-2026-3090 Overflow and uncaught divide by zero in Tensorflow

Impact The implementation of UnravelIndex is vulnerable to a division by zero caused by an integer overflow bug: python import tensorflow as tf tf.rawops.UnravelIndexindices=-0x100000,dims=0x100000,0x100000 Patches We have patched the issue in GitHub commit 58b34c6c8250983948b5a781b426f6aa01fd47a...

PYSEC-2026-3139 Reachable Assertion in Tensorflow

Impact When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow processes. Patches We have patched the issue in GitHub...

PYSEC-2026-3151 Integer overflow in TFLite array creation

Impact An attacker can craft a TFLite model that would cause an integer overflow in TfLiteIntArrayCreate: cc TfLiteIntArray TfLiteIntArrayCreateint size int allocsize = TfLiteIntArrayGetSizeInBytessize; // ... TfLiteIntArray ret = TfLiteIntArraymallocallocsize; // ... The...

PYSEC-2026-3188 Division by zero in TFLite

Impact An attacker can craft a TFLite model that would trigger a division by zero in BiasAndClamp implementation: cc inline void BiasAndClampfloat clampmin, float clampmax, int biassize, const float biasdata, int arraysize, float arraydata // ... TFLITEDCHECKEQarraysize % biassize, 0; // ... Ther...

PYSEC-2026-3097 Heap overflow in Tensorflow

Impact The implementation of SparseCountSparseOutput is vulnerable to a heap overflow: python import tensorflow as tf import numpy as np tf.rawops.SparseCountSparseOutput indices=-1,-1, values=2, denseshape=1, 1, weights=1, binaryoutput=True, minlength=-1, maxlength=-1, name=None Patches We have...

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...