high
7.1
CWE
125
Advisory Published
Advisory Published
Updated

CVE-2021-41210: Heap OOB read in `tf.raw_ops.SparseCountSparseOutput`

First published: Fri Nov 05 2021(Updated: )

### Impact The [shape inference functions for `SparseCountSparseOutput`](https://github.com/tensorflow/tensorflow/blob/e0b6e58c328059829c3eb968136f17aa72b6c876/tensorflow/core/ops/count_ops.cc#L43-L50) can trigger a read outside of bounds of heap allocated array: ```python import tensorflow as tf @tf.function def func(): return tf.raw_ops.SparseCountSparseOutput( indices=[1], values=[[1]], dense_shape=[10], weights=[], binary_output= True) func() ``` The function fails to check that the first input (i.e., `indices`) has rank 2: ```cc auto rank = c->Dim(c->input(0), 1); ``` ### Patches We have patched the issue in GitHub commit [701cfaca222a82afbeeb17496bd718baa65a67d2](https://github.com/tensorflow/tensorflow/commit/701cfaca222a82afbeeb17496bd718baa65a67d2). The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. ### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with issues and questions. ### Attribution This vulnerability has been reported by members of the Aivul Team from Qihoo 360.

Credit: security-advisories@github.com security-advisories@github.com

Affected SoftwareAffected VersionHow to fix
pip/tensorflow-gpu<2.4.4
2.4.4
pip/tensorflow-gpu>=2.5.0<2.5.2
2.5.2
pip/tensorflow-gpu>=2.6.0<2.6.1
2.6.1
pip/tensorflow-cpu<2.4.4
2.4.4
pip/tensorflow-cpu>=2.5.0<2.5.2
2.5.2
pip/tensorflow-cpu>=2.6.0<2.6.1
2.6.1
pip/tensorflow<2.4.4
2.4.4
pip/tensorflow>=2.5.0<2.5.2
2.5.2
pip/tensorflow>=2.6.0<2.6.1
2.6.1
TensorFlow Keras<2.4.4
TensorFlow Keras>=2.5.0<2.5.2
TensorFlow Keras=2.6.0

Remedy

https://github.com/tensorflow/tensorflow/commit/701cfaca222a82afbeeb17496bd718baa65a67d2

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Reference Links

Frequently Asked Questions

  • What is the severity of CVE-2021-41210?

    CVE-2021-41210 has been rated as a moderate severity vulnerability due to potential heap buffer overflow risks.

  • How do I fix CVE-2021-41210?

    To mitigate CVE-2021-41210, upgrade to TensorFlow version 2.4.4, 2.5.2, or 2.6.1.

  • What software is affected by CVE-2021-41210?

    CVE-2021-41210 affects TensorFlow versions prior to 2.4.4 and between 2.5.0 and 2.5.2 as well as between 2.6.0 and 2.6.1.

  • What are the potential impacts of CVE-2021-41210?

    CVE-2021-41210 could lead to crashes or arbitrary code execution due to out-of-bounds read access in the heap.

  • Is CVE-2021-41210 specific to TensorFlow GPU or CPU versions?

    CVE-2021-41210 affects both TensorFlow GPU and CPU versions.

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