CVE-2021-37684: Division by zero in TensorFlow Lite pooling operations
Impact The implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0.
Patches We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695.
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 the implementations of pooling in TFLite are vulnerable to division by 0 errors as there are no checks for divisors not being 0. We have patched the issue in GitHub commit dfa22b348b70bb89d6d6ec0ff53973bacb4f4695. 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
Remediation
Recommended actions to resolve this vulnerability, in priority order.
- Upgrade
Upgrade
pip/tensorflow-gputo a version that resolves this vulnerability.Fixed in 2.5.1 - Upgrade
Upgrade
pip/tensorflow-gputo a version that resolves this vulnerability.Fixed in 2.4.3 - Upgrade
Upgrade
pip/tensorflow-gputo a version that resolves this vulnerability.Fixed in 2.3.4 - Upgrade
Upgrade
pip/tensorflow-cputo a version that resolves this vulnerability.Fixed in 2.5.1 - Upgrade
Upgrade
pip/tensorflow-cputo a version that resolves this vulnerability.Fixed in 2.4.3 - Upgrade
Upgrade
pip/tensorflow-cputo a version that resolves this vulnerability.Fixed in 2.3.4 - Upgrade
Upgrade
pip/tensorflowto a version that resolves this vulnerability.Fixed in 2.5.1 - Upgrade
Upgrade
pip/tensorflowto a version that resolves this vulnerability.Fixed in 2.4.3 - Upgrade
Upgrade
pip/tensorflowto a version that resolves this vulnerability.Fixed in 2.3.4 - Upgrade
Upgrade
TensorFlowto a version that resolves this vulnerability.Fixed in 2.6.0Patch dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 - Upgrade
Upgrade
TensorFlowto a version that resolves this vulnerability.Fixed in 2.5.1Patch dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 - Upgrade
Upgrade
TensorFlowto a version that resolves this vulnerability.Fixed in 2.4.3Patch dfa22b348b70bb89d6d6ec0ff53973bacb4f4695 - Upgrade
Upgrade
TensorFlowto a version that resolves this vulnerability.Fixed in 2.3.4Patch dfa22b348b70bb89d6d6ec0ff53973bacb4f4695
Event History
Frequently Asked Questions
What is the severity of CVE-2021-37684?
CVE-2021-37684 has a moderate severity rating due to potential division by zero errors.
How do I fix CVE-2021-37684?
To fix CVE-2021-37684, upgrade TensorFlow to versions 2.3.4, 2.4.3, or 2.5.1 or later.
Which versions of TensorFlow are affected by CVE-2021-37684?
CVE-2021-37684 affects TensorFlow versions 2.3.0 to 2.3.4, 2.4.0 to 2.4.3, and specific 2.6.0 release candidates.
What type of error does CVE-2021-37684 introduce?
CVE-2021-37684 introduces a division by zero error due to lack of checks for zero divisors in pooling implementations.
Is CVE-2021-37684 specific to a platform?
No, CVE-2021-37684 affects the TensorFlow software library regardless of the underlying platform.