Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. The implementations of the `Minimum` and `Maximum` TFLite operators can be used to read data outside of bounds of heap allocated objects, if any of the two input tensor arguments are empty. This is because the broadcasting implementation(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/internal/reference/maximum_minimum.h#L52-L56) indexes in both tensors with the same index but does not validate that the index is within bounds. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.
CVSS Score
LOW
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Tensorflow | < 2.1.4 |
Related Weaknesses (CWE)
References
- https://github.com/tensorflow/tensorflow/commit/953f28dca13c92839ba389c055587cfePatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-24x6-8c7m-hv3fExploitPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/953f28dca13c92839ba389c055587cfePatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-24x6-8c7m-hv3fExploitPatchThird Party Advisory
FAQ
What is CVE-2021-29590?
CVE-2021-29590 is a vulnerability with a CVSS score of 2.5 (LOW). TensorFlow is an end-to-end open source platform for machine learning. The implementations of the `Minimum` and `Maximum` TFLite operators can be used to read data outside of bounds of heap allocated ...
How severe is CVE-2021-29590?
CVE-2021-29590 has been rated LOW with a CVSS base score of 2.5/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2021-29590?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.