GHSA-HP4C-X6R7-6555 Floating point exception in `SparseDenseCwiseDiv`

Impact The implementation of tf.rawops.SparseDenseCwiseDiv is vulnerable to a division by 0 error: python import tensorflow as tf import numpy as np tf.rawops.SparseDenseCwiseDiv spindices=np.array4, spvalues=np.array-400, spshape=np.array647., dense=np.array0 The implementation uses a common cla...

GHSA-GF88-J2MG-CC82 Crash caused by integer conversion to unsigned

Impact An attacker can cause a denial of service in boostedtreescreatequantilestreamresource by using negative arguments: python import tensorflow as tf from tensorflow.python.ops import genboostedtreesops import numpy as np v= tf.Variable0.0, 0.0, 0.0, 0.0, 0.0...

Reference binding to nullptr in boosted trees

Impact An attacker can generate undefined behavior via a reference binding to nullptr in BoostedTreesCalculateBestGainsPerFeature: python import tensorflow as tf tf.rawops.BoostedTreesCalculateBestGainsPerFeature nodeidrange=, statssummarylist=1,2,3, l1=1.0, l2=1.0, treecomplexity =1.0,...

Heap OOB in nested `tf.map_fn` with `RaggedTensor`s

Impact It is possible to nest a tf.mapfn within another tf.mapfn call. However, if the input tensor is a RaggedTensor and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap: python import...

PYSEC-2021-603

TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions such as MutableHashTableShape produce extra output information in the form of a ShapeAndType struct. The shapes embedded in this struct are owned by an inferenc...

PYSEC-2021-312

TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions such as MutableHashTableShape produce extra output information in the form of a ShapeAndType struct. The shapes embedded in this struct are owned by an inferenc...

CVE-2021-37677

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for tf.rawops.Dequantize has a vulnerability that could trigger a denial of service via a segfault if an attacker provides invalid arguments. The shape inference implementation use...

CVE-2021-37683

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is vulnerable to a division by 0 error. There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit...

CVE-2021-37669

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.rawops.NonMaxSuppressionV5 by triggering a division by 0. The implementation uses a user controlled argument to resize a...

CVE-2021-37670

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.rawops.UpperBound. The implementation does not validate the rank of sortedinput...

CVE-2021-37668

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.rawops.UnravelIndex by triggering a division by 0. The implementation does not check that the tensor subsumed by dims is not...

CVE-2021-37663

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in tf.rawops.QuantizeV2, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. Th...

Design/Logic Flaw

TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap...

Out-of-bounds

TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's expanddims.cc contains a vulnerability which allows reading one element outside of bounds of heap allocated data. If axis is a large negative value e.g., -100000, then after the first if it would...

PYSEC-2021-585

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to tf.rawops.SdcaOptimizerV2. The implementation does not check that the length of...

PYSEC-2021-295

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a denial of service via a CHECK-fail in tf.rawops.MapStage. The implementation does not check that the key input is a valid non-empty tensor. We have patched the issue in GitHub...

PYSEC-2021-779

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause denial of service in applications serving models using tf.rawops.UnravelIndex by triggering a division by 0. The implementation does not check that the tensor subsumed by dims is not...

CVE-2021-37684

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit...

PYSEC-2021-596

TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of division in TFLite is vulnerable to a division by 0 error. There is no check that the divisor tensor does not contain zero elements. We have patched the issue in GitHub commit...

PYSEC-2021-301

TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a tf.mapfn within another tf.mapfn call. However, if the input tensor is a RaggedTensor and there is no function signature provided, code assumes the output is a fully specified tens...