CVE-2021-29608

TensorFlow is an end-to-end open source platform for machine learning. Due to lack of validation in tf.rawops.RaggedTensorToTensor, an attacker can exploit an undefined behavior if input arguments are empty. The...

CVE-2021-29560

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a heap buffer overflow in tf.rawops.RaggedTensorToTensor. This is because the...

PT-2021-18267 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow version 2.4.2 TensorFlow version 2.3.3 TensorFlow version 2.2.3 TensorFlow version 2.1.4 Description: Calling tf.raw ops.RaggedTensorToVariant with arguments specifying an invalid ragged tensor...

PT-2021-18359 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: TensorFlow versions prior to 2.5.0 TensorFlow versions 2.4.1 and earlier TensorFlow versions 2.3.2 and earlier TensorFlow versions 2.2.2 and earlier TensorFlow versions 2.1.3 and earlier Description: Due to a lack of validation in tf.raw...

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 ...

PYSEC-2020-316

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. Hence, the code is...

PYSEC-2020-281

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. Hence, the code is...

Heap overflow

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 ...

PYSEC-2020-279

In Tensorflow before version 2.3.1, the RaggedCountSparseOutput does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the splits tensor has the minimum required number of elements. Code uses this quantity to initialize a different data...

CVE-2020-15201

CVE-2020-15201 : TensorFlow before 2.3.1 contains a bounds-checking flaw in RaggedCountSparseOutput, where input ragged-tensor validation is missing. Specifically, values in the splits tensor may not form a valid partitioning of values, risking a heap-based buffer overflow if split_values does no...

CVE-2020-15201

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. Hence, the code is...

PT-2020-14271 · Google · Tensorflow

Name of the Vulnerable Software and Affected Versions: Tensorflow versions prior to 2.3.1 Description: The RaggedCountSparseOutput implementation does not validate that the input arguments form a valid ragged tensor, specifically that the values in the splits tensor generate a valid partitioning ...