CVE-2022-23560: Read and Write outside of bounds in TFLite
Impact An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors.
Patches We have patched the issue in GitHub commit 6364463d6f5b6254cac3d6aedf999b6a96225038. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, 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 Wang Xuan of Qihoo 360 AIVul Team.
Other sources
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Users are advised to upgrade as soon as possible.
Affected Software
Remediation
Event History
Frequently Asked Questions
What is the severity of CVE-2022-23560?
CVE-2022-23560 has a medium severity rating due to potential limited read and write capabilities outside of arrays.
How do I fix CVE-2022-23560?
To fix CVE-2022-23560, update to TensorFlow version 2.5.3, 2.6.3, or 2.7.1 depending on your current version.
Which versions of TensorFlow are affected by CVE-2022-23560?
CVE-2022-23560 affects TensorFlow versions up to 2.5.2, versions between 2.6.0 and 2.6.2, and version 2.7.0.
What can an attacker achieve by exploiting CVE-2022-23560?
An attacker can potentially craft a TFLite model to read and write outside of designated tensor arrays.
Is CVE-2022-23560 related to TensorFlow Lite?
Yes, CVE-2022-23560 specifically concerns vulnerabilities in TensorFlow Lite regarding tensor conversion validation.