PYSEC-2021-644

TensorFlow is an end-to-end open source platform for machine learning. In eager mode default in TF 2.0 and later, session operations are invalid. However, users could still call the raw ops associated with them and trigger a null pointer dereference. The...

PYSEC-2021-155

TensorFlow is an end-to-end open source platform for machine learning. In eager mode default in TF 2.0 and later, session operations are invalid. However, users could still call the raw ops associated with them and trigger a null pointer dereference. The...

CVE-2021-29518

TensorFlow is an end-to-end open source platform for machine learning. In eager mode default in TF 2.0 and later, session operations are invalid. However, users could still call the raw ops associated with them and trigger a null pointer dereference. The...

CVE-2021-29616

TensorFlow is an end-to-end open source platform for machine learning. The implementation of TrySimplifyhttps://github.com/tensorflow/tensorflow/blob/c22d88d6ff33031aa113e48aa3fc9aa74ed79595/tensorflow/core/grappler/optimizers/arithmeticoptimizer.ccL390-L401 has undefined behavior due to...

CVE-2021-29616

TensorFlow is an end-to-end open source platform for machine learning. The implementation of TrySimplifyhttps://github.com/tensorflow/tensorflow/blob/c22d88d6ff33031aa113e48aa3fc9aa74ed79595/tensorflow/core/grappler/optimizers/arithmeticoptimizer.ccL390-L401 has undefined behavior due to...

CVE-2021-29608

TensorFlow CVE-2021-29608 maps to a RaggedTensorToTensor validation flaw: input checks only ensure one tensor is non-empty, enabling potential heap out-of-bounds/NULL dereference undefined behavior in release builds. Multiple sources (NVD, OSV/GHSA advisories) describe a local-attack surface lead...

CVE-2021-29608 Heap OOB and null pointer dereference in `RaggedTensorToTensor`

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.RaggedTensorToTensor, an attacker can exploit an undefined behavior if input arguments are empty. The...

CVE-2021-29608

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in "tf.rawops.RaggedTensorToTensor", an attacker can exploit an undefined behavior if input arguments are empty. The...

CVE-2021-29609 Incomplete validation in `SparseAdd`

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in SparseAdd results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...

CVE-2021-29609

TensorFlow is an end-to-end open source platform for machine learning. Incomplete validation in "SparseAdd" results in allowing attackers to exploit undefined behavior dereferencing null pointers as well as write outside of bounds of heap allocated data. The...

CVE-2021-29568

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger undefined behavior by binding to null pointer in "tf.rawops.ParameterizedTruncatedNormal". This is because the...

CVE-2021-29572 Reference binding to nullptr in `SdcaOptimizer`

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.SdcaOptimizer triggers undefined behavior due to dereferencing a null pointer. The...

CVE-2021-29572

TensorFlow is an end-to-end open source platform for machine learning. The implementation of "tf.rawops.SdcaOptimizer" triggers undefined behavior due to dereferencing a null pointer. The...

CVE-2021-29574

TensorFlow is an end-to-end open source platform for machine learning. The implementation of "tf.rawops.MaxPool3DGradGrad" exhibits undefined behavior by dereferencing null pointers backing attacker-supplied empty tensors. The...

CVE-2021-29580

The CVE covers TensorFlow tf.raw_ops.FractionalMaxPoolGrad with undefined behavior when an input tensor is empty and a_CHECK failure that can abort the process, per multiple sources in the Initial document. The issue arises from input/output validation (empty tensors and rank checks) in fractiona...

CVE-2021-29580

TensorFlow is an end-to-end open source platform for machine learning. The implementation of "tf.rawops.FractionalMaxPoolGrad" triggers an undefined behavior if one of the input tensors is empty. The code is also vulnerable to a denial of service attack as a "CHECK" condition becomes false and...

CVE-2021-29583 Heap buffer overflow and undefined behavior in `FusedBatchNorm`

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.FusedBatchNorm is vulnerable to a heap buffer overflow. If the tensors are empty, the same implementation can trigger undefined behavior by dereferencing null pointers. The...

CVE-2021-29546

CVE-2021-29546 concerns TensorFlow’s QuantizedBiasAdd. The issue arises from the Eigen kernel implementation in quantization_utils.h, which divides by the number of elements of the smaller input without guarding against zero, causing integer division by zero undefined behavior. Public details in ...

CVE-2021-29546

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by zero undefined behavior in tf.rawops.QuantizedBiasAdd. This is because the implementation of the Eigen...

PT-2021-18359 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.1 and earlier TensorFlow versions 2.3.2 and earlier TensorFlow versions 2.2.2 and earlier TensorFlow versions 2.1.3 and earlier Description: Due to a lack of validation in tf.raw...