CVE-2021-29522
Division by 0 in `Conv3DBackprop*`
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.
How to fix CVE-2021-29522
To remediate CVE-2021-29522, upgrade the affected package to a fixed version below.
- —upgrade to 2.1.4 or later
- —upgrade to 2.1.4 or later
- —upgrade to 311403edbc9816df80274bd1ea8b3c0c0f22c3fa or later
- —upgrade to 311403edbc9816df80274bd1ea8b3c0c0f22c3fa or later
- —upgrade to 2.1.4 or later
- —upgrade to 311403edbc9816df80274bd1ea8b3c0c0f22c3fa or later
- —upgrade to 2.1.4 or later
Is CVE-2021-29522 being exploited?
Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.
Affected packages (7)
- from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- from 0, < 2.1.4
- from 0, < 311403edbc9816df80274bd1ea8b3c0c0f22c3fa | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- from 0, < 311403edbc9816df80274bd1ea8b3c0c0f22c3fa | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- from 0, < 2.1.4
- from 0, < 311403edbc9816df80274bd1ea8b3c0c0f22c3fa | from 0, < 2.1.4, >= 2.2.0, < 2.2.3, >= 2.3.0, < 2.3.3, >= 2.4.0, < 2.4.2
- from 0, < 2.1.4
CVSS scores
| Source | Version | Severity | Vector |
|---|---|---|---|
| osv | CVSS 4.0 | — | CVSS:4.0/AV:L/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N |
| osv | CVSS 3.1 | LOW2.5 | CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:N/I:N/A:L |