CVE-2020-15214 Out of bounds write in tensorflow-lite

In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...

CVE-2020-15214

In TensorFlow Lite before versions 2.2.1 and 2.3.1, models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the...

CVE-2020-15203 Denial of Service in Tensorflow

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the fill argument of tf.strings.asstring, a malicious attacker is able to trigger a format string vulnerability due to the way the internal format use in a printf call is constructed. This may result in segmentati...

CVE-2020-15210 Segmentation fault in tensorflow-lite

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b a...

CVE-2020-15210

In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b a...

CVE-2020-15210

CVE-2020-15210 affects TensorFlow/TFLite where a saved model reuses the same tensor as input and output for an operator, causing a segmentation fault or memory corruption depending on the operator. The issue has a patch in commit d58c96946b2880991d63d1dacacb32f0a4dfa453 and is addressed in patch ...

CVE-2020-15200

In Tensorflow before version 2.3.1, the RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Thus, the code sets ...

CVE-2020-15200 Segfault in Tensorflow

In Tensorflow before version 2.3.1, the RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Thus, the code sets ...

CVE-2020-15190 Segfault in Tensorflow

In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the tf.rawops.Switch operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. Howeve...

Out of bounds write in tensorflow-lite

Impact In TensorFlow Lite models using segment sum can trigger a write out bounds / segmentation fault if the segment ids are not sorted. Code assumes that the segment ids are in increasing order, using the last element of the tensor holding them to determine the dimensionality of output tensor:...

GHSA-X9J7-X98R-R4W2 Segmentation fault in tensorflow-lite

Impact If a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. Patches We have patched the issue in d58c96946b and will release patch releases for all versions between 1.1...

Segmentation fault in tensorflow-lite

Impact If a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. Patches We have patched the issue in d58c96946b and will release patch releases for all versions between 1.1...

GHSA-X7RP-74X2-MJF3 Segfault in Tensorflow

Impact The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Thus, the following code sets up conditions to...

Segfault in Tensorflow

Impact The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the splits tensor generate a valid partitioning of the values tensor. Thus, the following code sets up conditions to...

GHSA-4G9F-63RX-5CW4 Segfault in Tensorflow

Impact The tf.rawops.Switch operation takes as input a tensor and a boolean and outputs two tensors. Depending on the boolean value, one of the tensors is exactly the input tensor whereas the other one should be an empty tensor. However, the eager runtime traverses all tensors in the output:...

PT-2020-14261 · Google +1 · Tensorflow +1

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 1.15.4 TensorFlow versions prior to 2.0.3 TensorFlow versions prior to 2.1.2 TensorFlow versions prior to 2.2.1 TensorFlow versions prior to 2.3.1 Description: The issue arises from the tf.raw ops.Switch operation...

PT-2020-14275 · Google +1 · Tensorflow +1

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 1.15.4 TensorFlow versions prior to 2.0.3 TensorFlow versions prior to 2.1.2 TensorFlow versions prior to 2.2.1 TensorFlow versions prior to 2.3.1 Description: In eager mode, TensorFlow does not set the session...

PT-2020-14285 · Google · Tensorflow Lite

Name of the Vulnerable Software and Affected Versions: TensorFlow Lite versions prior to 2.2.1 TensorFlow Lite versions prior to 2.3.1 Description: The issue arises when models using segment sum have unsorted segment ids, causing the code to assume they are in increasing order. This leads to...

PT-2020-14281 · Google +1 · Tensorflow +1

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 1.15.4 TensorFlow versions prior to 2.0.3 TensorFlow versions prior to 2.1.2 TensorFlow versions prior to 2.2.1 TensorFlow versions prior to 2.3.1 Description: If a TFLite saved model uses the same tensor as both...

PT-2020-14274 · Google +1 · Tensorflow +1

Name of the Vulnerable Software and Affected Versions: Tensorflow versions prior to 1.15.4 Tensorflow versions prior to 2.0.3 Tensorflow versions prior to 2.1.2 Tensorflow versions prior to 2.2.1 Tensorflow versions prior to 2.3.1 Description: A format string vulnerability exists due to the way t...