GHSA-RRX2-R989-2C43 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...

GHSA-6445-FM66-FVQ2 Integer overflows in Tensorflow

Impact The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service: python import tensorflow as tf import numpy as np tf.rawops.AddManySparseToTensorsMap...

GHSA-WCV5-VRVR-3RX2 Integer Overflow or Wraparound in TensorFlow

Impact The Grappler component of TensorFlow is vulnerable to a denial of service via CHECK-failure assertion failure in constant folding: cc for const auto& outputprop : outputprops const PartialTensorShape outputshapeoutputprop.shape; // ... The outputprop tensor has a shape that is controlled b...

PYSEC-2022-146

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. TensorShape constructor throws a CHECK-fail if shape is partial or has a number of elements that would overflow t...

CVE-2022-23582

Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a SavedModel such that TensorByteSize would trigger CHECK failures. TensorShape constructor throws a CHECK-fail if shape is partial or has a number of elements that would overflow t...

PYSEC-2022-131

Tensorflow is an Open Source Machine Learning Framework. 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...

PYSEC-2022-76

Tensorflow is an Open Source Machine Learning Framework. 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...

PYSEC-2022-132

Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...

CVE-2022-23567

Tensorflow is an Open Source Machine Learning Framework. 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...

CVE-2022-23568

Tensorflow is an Open Source Machine Learning Framework. The implementation of AddManySparseToTensorsMap is vulnerable to an integer overflow which results in a CHECK-fail when building new TensorShape objects so, an assert failure based denial of service. We are missing some validation on the...

GHSA-PRCG-WP5Q-RV7P Crashes due to overflow and `CHECK`-fail in ops with large tensor shapes

Impact TensorFlow allows tensor to have a large number of dimensions and each dimension can be as large as desired. However, the total number of elements in a tensor must fit within an int64t. If an overflow occurs, MultiplyWithoutOverflow would return a negative result. In the majority of...

PYSEC-2021-843

TensorFlow is an open source platform for machine learning. In affected versions several TensorFlow operations are missing validation for the shapes of the tensor arguments involved in the call. Depending on the API, this can result in undefined behavior and segfault or CHECK-fail related crashes...

Google TensorFlow 安全漏洞

Google TensorFlow is a suite of end-to-end open source platforms for machine learning from Google, Inc. in the United States. A security vulnerability exists in Google TensorFlow versions prior to 2.7.0, which stems from a lack of validation of the shape of the tensor parameter involved in a call...

CVE-2021-37641

TensorFlow is an end-to-end open source platform for machine learning. In affected versions if the arguments to tf.rawops.RaggedGather don't determine a valid ragged tensor code can trigger a read from outside of bounds of heap allocated buffers. The implementation directly reads the first...

GHSA-XVJM-FVXX-Q3HV CHECK-fail due to integer overflow

Impact An attacker can trigger a denial of service via a CHECK-fail in caused by an integer overflow in constructing a new tensor shape: python import tensorflow as tf inputlayer = 260-1 sparsedata = tf.rawops.SparseSplit splitdim=1, indices=0, 0, 0, 1, 0, 2, 4, 3, 5, 0, 5, 1, values=1.0, 1.0, 1....

Heap buffer overflow in `AvgPool3DGrad`

Impact The implementation of tf.rawops.AvgPool3DGrad is vulnerable to a heap buffer overflow: python import tensorflow as tf originputshape = tf.constant10, 6, 3, 7, 7, shape=5, dtype=tf.int32 grad = tf.constant0.01, 0, 0, shape=3, 1, 1, 1, 1, dtype=tf.float32 ksize = 1, 1, 1, 1, 1 strides = 1, 1...

CVE-2021-29521

TensorFlow is an end-to-end open source platform for machine learning. Specifying a negative dense shape in tf.rawops.SparseCountSparseOutput results in a segmentation fault being thrown out from the standard library as std::vector invariants are broken. This is because the...

Heap overflow

TensorFlow is an end-to-end open source platform for machine learning. The implementation of tf.rawops.FractionalAvgPoolGrad is vulnerable to a heap buffer overflow. The...

PYSEC-2021-710

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in caused by an integer overflow in constructing a new tensor shape. This is because the...

PYSEC-2021-512

TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a CHECK-fail in caused by an integer overflow in constructing a new tensor shape. This is because the...