CVE-2022-21740: Heap overflow in Tensorflow

Background

Tensorflow is an open-source machine learning framework developed by Google. It provides a comprehensive ecosystem of tools, libraries, and resources for building and deploying machine learning models. Tensorflow is widely used in various domains, including research, industry, and academia. However, a vulnerability has been discovered in Tensorflow that could lead to a heap overflow.

Vulnerability Detail

The implementation of SparseCountSparseOutput in Tensorflow is vulnerable to a heap overflow. This vulnerability can be triggered by providing malicious input to the indices, values, dense_shape, weights, binary_output, minlength, or maxlength parameters. An attacker could exploit this vulnerability to execute arbitrary code, cause a denial of service, or gain unauthorized access to sensitive information. The vulnerability has been assigned a CVSS score of 7.6, indicating a high severity level.

pip install --upgrade "tensorflow==2.21.0"

Workaround

As a temporary workaround, users can avoid using the SparseCountSparseOutput function or ensure that the input provided to the function is valid and does not trigger the vulnerability. Here is an example of how to use the function safely:

import tensorflow as tf
import numpy as np

tf.raw_ops.SparseCountSparseOutput(
  indices=[[0, 0]],
  values=[2],
  dense_shape=[1, 1],
  weights=[1],
  binary_output=True,
  minlength=0,
  maxlength=0,
  name=None)

By providing valid input values and avoiding negative or large values for minlength and maxlength, the vulnerability can be mitigated.

Conclusion

In conclusion, the vulnerability in Tensorflow could lead to a heap overflow, allowing an attacker to execute arbitrary code, cause a denial of service, or gain unauthorized access to sensitive information. It is crucial for users to update their Tensorflow installation to one of the patched versions (2.5.3, 2.6.3, 2.7.1, or 2.8.0) to mitigate the vulnerability. For further support and assistance with vulnerability remediation, please contact DevNack.com.

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