CVE-2021-41218: Divide By Zero

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for AllToAll can be made to execute a division by 0. This occurs whenever the splitcount argument is 0. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on...

CVE-2021-41215: NULL Pointer Dereference

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for DeserializeSparse can trigger a null pointer dereference. This is because the shape inference function assumes that the serializesparse tensor is a tensor with positive rank and having 3 ...

CVE-2021-41216: Buffer Copy without Checking Size of Input

TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for Transpose is vulnerable to a heap buffer overflow. This occurs whenever perm contains negative elements. The shape inference function does not validate that the indices in perm are al...

CVE-2021-41214: Access of Uninitialized Pointer

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for tf.ragged.cross has an undefined behavior due to binding a reference to nullptr. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1,...

CVE-2021-41210: Out-of-bounds Read

TensorFlow is an open source platform for machine learning. In affected versions the shape inference functions for SparseCountSparseOutput can trigger a read outside of bounds of heap allocated array. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow...

PT-2021-23191 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.7.0 TensorFlow versions 2.6.1 and earlier TensorFlow versions 2.5.2 and earlier TensorFlow versions 2.4.4 and earlier Description: TensorFlow is an open source platform for machine learning. In affected versions...

Google TensorFlow buffer error vulnerability

Google TensorFlow is an end-to-end open source machine learning platform. An out-of-bounds read vulnerability exists in the shape inference code of tf.ragged.cross in versions prior to TensorFlow 2.7.0 for heap allocation arrays. No details of the vulnerability are currently available...

Google TensorFlow buffer error vulnerability

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, Inc. in the United States. Google TensorFlow suffers from a buffer error vulnerability that stems from the fact that in the affected version, QuantizeV2's shape inference code could trigger a read...

Google TensorFlow buffer error vulnerability

Google TensorFlow is an end-to-end open source platform for machine learning from Google Google. Google TensorFlow is vulnerable to a buffer overflow vulnerability that stems from Transpose's shape inference function being vulnerable to a heap buffer overflow. No details of the vulnerability are...

Google TensorFlow numerical error vulnerability

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. A numeric error vulnerability exists in versions of Google TensorFlow prior to 2.7.0, which stems from the fact that AllToAll in TensorFlow performs division by zero when inferring code. No details of t...

CVE-2021-41221: Buffer Copy without Checking Size of Input

TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the Cudnn operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the input, inputh and inputc parameters are n...

hw: Fast forward store predictor

A flaw was found in the CPU microarchitecture where a local attacker is able to abuse a timing issue which may allow them to infer internal architectural state from previous executions on the CPU...

hw: Fast forward store predictor

A flaw was found in the CPU microarchitecture where a local attacker is able to abuse a timing issue which may allow them to infer internal architectural state from previous executions on the CPU...

hw: Fast forward store predictor

A flaw was found in the CPU microarchitecture where a local attacker is able to abuse a timing issue which may allow them to infer internal architectural state from previous executions on the CPU...

GHSA-9C8H-2MV3-49WW Division by 0 in most convolution operators

Impact Most implementations of convolution operators in TensorFlow are affected by a division by 0 vulnerability where an attacker can trigger a denial of service via a crash: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.Conv2D input = tf.constant, shape=0, 0, 0, 0,...

Reference binding to nullptr in shape inference

Impact An attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.SparseFillEmptyRows: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.SparseFillEmptyRows indices = tf.constant, shape=0, 0, dtype=tf.int64, values = tf.constant, shape=0,...

GHSA-V768-W7M9-2VMM Reference binding to nullptr in shape inference

Impact An attacker can cause undefined behavior via binding a reference to null pointer in tf.rawops.SparseFillEmptyRows: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.SparseFillEmptyRows indices = tf.constant, shape=0, 0, dtype=tf.int64, values = tf.constant, shape=0,...

GHSA-QFPC-5PJR-MH26 Missing validation in shape inference for `Dequantize`

Impact 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: python import tensorflow as tf tf.compat.v1.disablev2behavior tf.rawops.Dequantize inputtensor = tf.constant-10.0,...

GHSA-3HXH-8CP2-G4HG Use after free and segfault in shape inference functions

Impact 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 inference context that is cleaned up almost immediately; if the upstream code attempts to...

hw: L1D Cache Eviction Sampling

A microarchitectural timing flaw was found on some Intel processors. A corner case exists where data in-flight during the eviction process can end up in the “fill buffers” and not properly cleared by the MDS mitigations. The fill buffer contents which were expected to be blank can be inferred usi...