CVE-2021-37647: TensorFlow - Null Pointer Dereference in SparseTensorSliceDataset

Background

TensorFlow is an end-to-end open source platform for machine learning. It provides a comprehensive ecosystem for building and deploying machine learning models. TensorFlow includes various functionalities and APIs for handling data, training models, and serving predictions. The package is widely used in both research and production environments.

Vulnerability Detail

The vulnerability (CVE-2021-37647) in TensorFlow arises when a user fails to supply valid arguments for a sparse tensor in the tf.raw_ops.SparseTensorSliceDataset function. The implementation of this function does not properly handle the case when either the indices or values argument is provided for an empty sparse tensor while the other is not. This oversight leads to a null pointer dereference in the code. Specifically, if the indices provided by the user is empty, the C++ code attempts to access the dimension size of the empty std::vector, resulting in a null pointer dereference. This vulnerability can be exploited by an attacker to cause a denial-of-service (DoS) condition or potentially execute arbitrary code.

pip install --upgrade "tensorflow==2.21.0"

Workaround

As a workaround, users can ensure that valid arguments are provided for sparse tensors when using the tf.raw_ops.SparseTensorSliceDataset function. This involves verifying that both the indices and values arguments are non-empty and properly formatted. Here is an example of how to check and handle empty sparse tensors in Python:

import tensorflow as tf

# Example code to handle empty sparse tensors
indices = []
values = []

if indices and values:
    dataset = tf.raw_ops.SparseTensorSliceDataset(indices, values)
    # Rest of the code
else:
    # Handle empty sparse tensor case
    # Rest of the code

By performing this check, the null pointer dereference can be avoided.

Conclusion

In conclusion, the vulnerability (CVE-2021-37647) in TensorFlow can be mitigated by updating to the patched versions or by implementing the provided workaround. It is crucial for users to promptly address this vulnerability to prevent potential exploitation. For further support and assistance in vulnerability remediation, please contact DevNack.com.

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