CVE-2021-29522
Severity CVSS v4.0:
Pending analysis
Type:
CWE-369
Divide By Zero
Publication date:
14/05/2021
Last modified:
20/05/2021
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.
Impact
Base Score 3.x
5.50
Severity 3.x
MEDIUM
Base Score 2.0
2.10
Severity 2.0
LOW
Vulnerable products and versions
CPE | From | Up to |
---|---|---|
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.1.4 (excluding) | |
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.2.0 (including) | 2.2.3 (excluding) |
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.3.0 (including) | 2.3.3 (excluding) |
cpe:2.3:a:google:tensorflow:*:*:*:*:*:*:*:* | 2.4.0 (including) | 2.4.2 (excluding) |
To consult the complete list of CPE names with products and versions, see this page