CVE-2020-15211

In TensorFlow Lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, saved models in the flatbuffer format use a double indexing scheme: a model has a set of subgraphs, each subgraph has a set of operators and each operator has a set of input/output tensors. The flatbuffer format uses indice...

PT-2020-14282 · Google +1 · Tensorflow Lite +1

Name of the Vulnerable Software and Affected Versions: TensorFlow Lite versions prior to 1.15.4 TensorFlow Lite versions prior to 2.0.3 TensorFlow Lite versions prior to 2.1.2 TensorFlow Lite versions prior to 2.2.1 TensorFlow Lite versions prior to 2.3.1 Description: The issue arises from the us...

CVE-2020-5215

In TensorFlow before 1.15.2 and 2.0.1, converting a string from Python to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker c...

PYSEC-2020-258

In TensorFlow before 1.15.2 and 2.0.1, converting a string from Python to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker c...

Segmentation faultin TensorFlow when converting a Python string to `tf.float16`

Impact Converting a string from Python to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker can send a data point which...

CVE-2020-5215

CVE-2020-5215 affects TensorFlow before 1.15.2 and 2.0.1, where converting a Python string to tf.float16 in eager mode can trigger a segmentation fault. The issue arises because format checks for this use case exist only in graph mode, potentially enabling denial of service during inference/train...

CVE-2020-5215 Segmentation faultin TensorFlow when converting a Python string to tf.float16

In TensorFlow before 1.15.2 and 2.0.1, converting a string from Python to a tf.float16 value results in a segmentation fault in eager mode as the format checks for this use case are only in the graph mode. This issue can lead to denial of service in inference/training where a malicious attacker c...