CVE-2021-37681: Null pointer exception in TensorFlow Lite
Impact The implementation of SVDF in TFLite is vulnerable to a null pointer error:
cc TfLiteTensor state = GetVariableInput(context, node, kStateTensor); // ... GetTensorData<float>(state)
The GetVariableInput function can return a null pointer but GetTensorData assumes that the argument is always a valid tensor.
cc TfLiteTensor GetVariableInput(TfLiteContext context, const TfLiteNode node, int index) { TfLiteTensor tensor = GetMutableInput(context, node, index); return tensor->isvariable ? tensor : nullptr; }
Furthermore, because GetVariableInput calls GetMutableInput which might return nullptr, the tensor->isvariable expression can also trigger a null pointer exception.
Patches We have patched the issue in GitHub commit 5b048e87e4e55990dae6b547add4dae59f4e1c76.
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 implementation of SVDF in TFLite is vulnerable to a null pointer error. The GetVariableInput function can return a null pointer but GetTensorData assumes that the argument is always a valid tensor. Furthermore, because GetVariableInput calls GetMutableInput which might return nullptr, the tensor->isvariable expression can also trigger a null pointer exception. We have patched the issue in GitHub commit 5b048e87e4e55990dae6b547add4dae59f4e1c76. 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 to a fixed release to a version that resolves this vulnerability.
Patch 5b048e87e4e55990dae6b547add4dae59f4e1c76
Event History
Frequently Asked Questions
What is the severity of CVE-2021-37681?
CVE-2021-37681 has a severity rating that indicates a medium-level vulnerability, primarily due to the potential for a null pointer dereference.
How do I fix CVE-2021-37681?
To resolve CVE-2021-37681, upgrade to TensorFlow version 2.5.1 or later, or ensure you are on versions 2.4.3 or 2.3.4 depending on your current setup.
Which versions of TensorFlow are affected by CVE-2021-37681?
CVE-2021-37681 affects TensorFlow versions 2.3.0 through 2.3.4, 2.4.0 through 2.4.3, and version 2.5.0.
Is CVE-2021-37681 exploitable in production environments?
Yes, CVE-2021-37681 could potentially be exploited in production environments, leading to application crashes due to the null pointer dereference.
What should I do if I cannot immediately upgrade TensorFlow due to CVE-2021-37681?
If immediate upgrades are not feasible, consider applying temporary workarounds, such as monitoring your application for unusual crashes or failures until you can upgrade.