GHSA-MG66-QVC5-RM93 Missing validation causes denial of service via `SparseTensorToCSRSparseMatrix`

Impact The implementation of tf.rawops.SparseTensorToCSRSparseMatrix 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 indices = tf.constant53, shape=3, dtype=tf.int64 values =...

GHSA-HRG5-737C-2P56 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,...

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,...

Missing validation causes denial of service via `Conv3DBackpropFilterV2`

Impact The implementation of tf.rawops.Conv3DBackpropFilterV2 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.Conv3DBackpropFilterV2 input=tf.constant.5053710941,...

GHSA-H48F-Q7RW-HVR7 Missing validation causes denial of service via `StagePeek`

Impact The implementation of tf.rawops.StagePeek 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 index = tf.constant, shape=0, dtype=tf.int32 tf.rawops.StagePeekindex=index,...

Missing validation causes denial of service via `StagePeek`

Impact The implementation of tf.rawops.StagePeek 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 index = tf.constant, shape=0, dtype=tf.int32 tf.rawops.StagePeekindex=index,...

GHSA-H5G4-PPWX-48Q2 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...

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...

GHSA-H2WQ-PRV9-2F56 Missing validation crashes `QuantizeAndDequantizeV4Grad`

Impact The implementation of tf.rawops.QuantizeAndDequantizeV4Grad 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.QuantizeAndDequantizeV4Grad gradients=tf.constant1,...

Missing validation crashes `QuantizeAndDequantizeV4Grad`

Impact The implementation of tf.rawops.QuantizeAndDequantizeV4Grad 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.QuantizeAndDequantizeV4Grad gradients=tf.constant1,...

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...

GHSA-FV25-WRFF-WF86 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...

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',...

GHSA-2P9Q-H29J-3F5V 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',...

Heap-based Buffer Overflow

tensorflow is vulnerable to heap-based buffer overflow. The use of AllocatedBytes in the insecure hash function AbslHashValue allows local authenticated attackers to cause heap-based buffer overflows resulting in denial of service conditions...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists because the tf.rawops.GetSessionTensor in sessionops.cc does not properly validate the input arguments, allowing an attacker to crash the application through the CHECK failure...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists due to the lack of input validation in the tf.rawops.QuantizedConv2D of quantizedconvops.cc, resulting in a null pointer dereferences, allowing an attacker to crash the application by providing zero-sized inputs...

Denial Of Service (DoS)

tensorflow is vulnerable to denial of service. The vulnerability exists because the GetDeviceForInput function of execute.cc does not properly handle empty resources allowing an attacker to crash the application through the null pointer dereferences when using eager mode...

Google TensorFlow code issue vulnerability (CNVD-2022-44171)

Google TensorFlow is an end-to-end open source platform for machine learning from Google, Inc. Google TensorFlow versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4 are vulnerable to a code issue stemming from tf.rawops. QuantizedConv2D does not fully validate input parameters. No detailed...

Google TensorFlow Denial of Service Vulnerability (CNVD-2022-44170)

Google TensorFlow, an end-to-end open source platform for machine learning from Google, Inc. is vulnerable in versions prior to 2.9.0, 2.8.1, 2.7.2, and 2.6.4 due to a vulnerability in tf.rawops. UnsortedSegmentJoin has incomplete validation of the input parameters. An attacker could use this...