CVE-2021-37671: TensorFlow GPU - Null Pointer Dereference in Map Operations

Background

TensorFlow is an open-source platform for machine learning that provides a comprehensive ecosystem for developing and deploying machine learning models. It offers a wide range of tools and libraries for building and training neural networks. TensorFlow GPU is a variant of TensorFlow that leverages the power of GPUs for accelerated computation. It allows users to perform machine learning tasks with increased speed and efficiency on GPU-enabled systems.

Vulnerability Detail

The vulnerability identified as CVE-2021-37671 affects TensorFlow GPU versions 2.3.0 to 2.4.3. It revolves around the tf.raw_ops.Map* and tf.raw_ops.OrderedMap* operations, where an attacker can exploit a null pointer dereference by binding a reference to a null pointer. Although the implementation includes a check to ensure that the indices parameter is in ascending order, it fails to verify that indices is not empty. As a result, an attacker can trigger undefined behavior by providing an empty indices array. This vulnerability can lead to crashes, memory corruption, or other unpredictable outcomes.

pip install --upgrade "tensorflow-gpu==2.12.0"

Workaround

As a workaround, users can manually check the indices array before invoking the affected operations. By ensuring that indices is not empty, the vulnerability can be mitigated. Here is an example code snippet that demonstrates the workaround:

import tensorflow as tf

# Check if indices is empty
if len(indices) > 0:
    # Perform the map operation
    result = tf.raw_ops.Map*(...)
else:
    # Handle the empty indices case
    ...

Conclusion

The vulnerability identified as CVE-2021-37671 in TensorFlow GPU versions 2.3.0 to 2.4.3 can be exploited through null pointer dereference in certain map operations. It is crucial for users to update their TensorFlow GPU installation to version 2.6.0 or later to address this vulnerability. Regularly updating TensorFlow GPU is recommended to stay protected against potential security risks. For further assistance or support in vulnerability remediation, please contact DevNack.com.

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