150 matches found
PT-2022-23111
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.10.0 TensorFlow versions 2.9.1 and earlier TensorFlow versions 2.8.1 and earlier TensorFlow versions 2.7.2 and earlier Description The issue occurs when the mlir::tfg::ConvertGenericFunctionToFunctionDef function...
GHSA-PQHM-4WVF-2JG8 Missing validation results in undefined behavior in `QuantizedConv2D`
Impact The implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments: python import tensorflow as tf input = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 filter = tf.constant1, shape=1, 2, 3, 3, dtype=tf.quint8 bad args mininput = tf.constant, shape=0,...
CVE-2022-29203
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.SpaceToBatchND in all backends such as XLA and handwritten kernels is vulnerable to an integer overflow: The result of this integer overflow is used to...
CVE-2022-29195
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, 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. The code...
CVE-2022-29194
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, 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...
Google TensorFlow security vulnerabilities
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...
GHSA-FX5C-H9F6-RV7C `CHECK`-fails due to attempting to build a reference tensor
Impact A malicious user can cause a denial of service by altering a SavedModel such that Grappler optimizer would attempt to build a tensor using a reference dtype. This would result in a crash due to a CHECK-fail in the Tensor constructor as reference types are not allowed. Patches We have patch...
PYSEC-2022-134
Tensorflow is an Open Source Machine Learning Framework. When decoding a tensor from protobuf, TensorFlow might do a null-dereference if attributes of some mutable arguments to some operations are missing from the proto. This is guarded by a DCHECK. However, DCHECK is a no-op in production builds...
PYSEC-2022-100
Tensorflow is an Open Source Machine Learning Framework. The GraphDef format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a GraphDef containing a fragment such as the following can be consumed when loading a SavedModel. This...
PYSEC-2022-153
Tensorflow is an Open Source Machine Learning Framework. Under certain scenarios, Grappler component of TensorFlow can trigger a null pointer dereference. There are 2 places where this can occur, for the same malicious alteration of a SavedModel file fixing the first one would trigger the same...
PYSEC-2022-149
Tensorflow is an Open Source Machine Learning Framework. When decoding PNG images TensorFlow can produce a memory leak if the image is invalid. After calling png::CommonInitDecode..., &decode, the decode value contains allocated buffers which can only be freed by calling...
PYSEC-2022-128
Tensorflow is an Open Source Machine Learning Framework. When decoding a resource handle tensor from protobuf, a TensorFlow process can encounter cases where a CHECK assertion is invalidated based on user controlled arguments. This allows attackers to cause denial of services in TensorFlow...
PYSEC-2022-82
Tensorflow is an Open Source Machine Learning Framework. The implementation of AssignOp can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized to minimize number of...
PT-2022-16081
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1, 2.6.3, and 2.5.3 are also affected Description An attacker can trigger denial of service via assertion failure by altering a SavedModel on disk such that AttrDefs of some operation...
PT-2022-16074
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.0 through 2.7.0 TensorFlow versions 2.6.0 through 2.6.2 TensorFlow versions 2.5.0 through 2.5.2 Description An attacker can craft a TFLite model that would cause an integer overflow in...
PT-2022-16103
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description A malicious user can cause a denial of service by altering a SavedModel such that...
PYSEC-2022-108
Tensorflow is an Open Source Machine Learning Framework. The implementation of UnravelIndex is vulnerable to a division by zero caused by an integer overflow bug. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlo...
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...
PT-2022-15067
Name of the Vulnerable Software and Affected Versions TensorFlow versions prior to 2.8.0 TensorFlow versions 2.7.1 and earlier TensorFlow versions 2.6.3 and earlier TensorFlow versions 2.5.3 and earlier Description The implementation of shape inference for ReverseSequence does not fully validate...
PYSEC-2021-630
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...