CVE-2021-37653: Division by 0 in `ResourceGather` in TensorFlow

Published Aug 12, 2021
·
Updated

Impact An attacker can trigger a crash via a floating point exception in tf.rawops.ResourceGather:

python import tensorflow as tf

tensor = tf.constant(value=[[]],shape=(0,1),dtype=tf.uint32) v = tf.Variable(tensor) tf.rawops.ResourceGather( resource=v.handle, indices=[0], dtype=tf.uint32, batchdims=1, validateindices=False)

The implementation computes the value of a value, batchsize, and then divides by it without checking that this value is not 0.

Patches We have patched the issue in GitHub commit ac117ee8a8ea57b73d34665cdf00ef3303bc0b11.

The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

For more information Please consult our security guide 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.

Other sources

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can trigger a crash via a floating point exception in tf.rawops.ResourceGather. The implementation computes the value of a value, batchsize, and then divides by it without checking that this value is not 0. We have patched the issue in GitHub commit ac117ee8a8ea57b73d34665cdf00ef3303bc0b11. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.

Affected Software

15 affected componentsFixes available
pip/tensorflow-gpu=2.5.0
2.5.1
pip/tensorflow-gpu>=2.4.0<2.4.3
2.4.3
pip/tensorflow-gpu<2.3.4
2.3.4
pip/tensorflow-cpu=2.5.0
2.5.1
pip/tensorflow-cpu>=2.4.0<2.4.3
2.4.3
pip/tensorflow-cpu<2.3.4
2.3.4
pip/tensorflow=2.5.0
2.5.1
pip/tensorflow>=2.4.0<2.4.3
2.4.3
pip/tensorflow<2.3.4
2.3.4
Google TensorFlow>=2.3.0<2.3.4
Google TensorFlow>=2.4.0<2.4.3
Google TensorFlow=2.5.0
Google TensorFlow=2.6.0-rc0
Google TensorFlow=2.6.0-rc1
Google TensorFlow=2.6.0-rc2

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Upgrade

    Upgrade pip/tensorflow-gpu to a version that resolves this vulnerability.

    Fixed in 2.5.1
  2. Upgrade

    Upgrade pip/tensorflow-gpu to a version that resolves this vulnerability.

    Fixed in 2.4.3
  3. Upgrade

    Upgrade pip/tensorflow-gpu to a version that resolves this vulnerability.

    Fixed in 2.3.4
  4. Upgrade

    Upgrade pip/tensorflow-cpu to a version that resolves this vulnerability.

    Fixed in 2.5.1
  5. Upgrade

    Upgrade pip/tensorflow-cpu to a version that resolves this vulnerability.

    Fixed in 2.4.3
  6. Upgrade

    Upgrade pip/tensorflow-cpu to a version that resolves this vulnerability.

    Fixed in 2.3.4
  7. Upgrade

    Upgrade pip/tensorflow to a version that resolves this vulnerability.

    Fixed in 2.5.1
  8. Upgrade

    Upgrade pip/tensorflow to a version that resolves this vulnerability.

    Fixed in 2.4.3
  9. Upgrade

    Upgrade pip/tensorflow to a version that resolves this vulnerability.

    Fixed in 2.3.4
  10. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.6.0Patch ac117ee8a8ea57b73d34665cdf00ef3303bc0b11
  11. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.5.1Patch ac117ee8a8ea57b73d34665cdf00ef3303bc0b11
  12. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.4.3Patch ac117ee8a8ea57b73d34665cdf00ef3303bc0b11
  13. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.3.4Patch ac117ee8a8ea57b73d34665cdf00ef3303bc0b11

Event History

Aug 12, 2021
CVE Published
via MITRE·05:35 PM
Data Sourced
via MITRE·05:35 PM
DescriptionSeverityWeakness
Data Sourced
via NVD·06:15 PM
RemedyDescriptionSeverityWeaknessAffected Software
Aug 25, 2021
Advisory Published
via GitHub·02:43 PM

Frequently Asked Questions

1

What is the severity of CVE-2021-37653?

CVE-2021-37653 has a moderate severity rating due to the potential for an attacker to trigger a crash in TensorFlow applications.

2

How do I fix CVE-2021-37653?

To fix CVE-2021-37653, update your TensorFlow installation to version 2.5.1 or higher.

3

Which versions of TensorFlow are affected by CVE-2021-37653?

CVE-2021-37653 affects TensorFlow versions from 2.3.0 up to 2.6.0-rc2.

4

What specific function is vulnerable in CVE-2021-37653?

The vulnerable function in CVE-2021-37653 is tf.raw_ops.ResourceGather.

5

Can CVE-2021-37653 lead to data loss?

While CVE-2021-37653 can cause application crashes, it does not directly lead to data loss.

Contact

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