Vulnerability Description
TensorFlow is an end-to-end open source platform for machine learning. The `tf.raw_ops.Conv3DBackprop*` operations fail to validate that the input tensors are not empty. In turn, this would result in a division by 0. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/a91bb59769f19146d5a0c20060244378e878f140/tensorflow/core/kernels/conv_grad_ops_3d.cc#L430-L450) does not check that the divisor used in computing the shard size is not zero. Thus, if attacker controls the input sizes, they can trigger a denial of service via a division by zero error. 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/311403edbc9816df80274bd1ea8b3c0cPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c968-pq7h-7fxvExploitPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/commit/311403edbc9816df80274bd1ea8b3c0cPatchThird Party Advisory
- https://github.com/tensorflow/tensorflow/security/advisories/GHSA-c968-pq7h-7fxvExploitPatchThird Party Advisory
FAQ
What is CVE-2021-29522?
CVE-2021-29522 is a vulnerability with a CVSS score of 2.5 (LOW). TensorFlow is an end-to-end open source platform for machine learning. The `tf.raw_ops.Conv3DBackprop*` operations fail to validate that the input tensors are not empty. In turn, this would result in ...
How severe is CVE-2021-29522?
CVE-2021-29522 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-2021-29522?
Check the references section above for vendor advisories and patch information. Affected products include: Google Tensorflow.