CVE-2021-29600
Severity CVSS v4.0:
Pending analysis
Type:
CWE-369
Divide By Zero
Publication date:
14/05/2021
Last modified:
19/05/2021
Description
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the `OneHot` TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/f61c57bd425878be108ec787f4d96390579fb83e/tensorflow/lite/kernels/one_hot.cc#L68-L72). An attacker can craft a model such that at least one of the dimensions of `indices` would be 0. In turn, the `prefix_dim_size` value would become 0. 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
7.80
Severity 3.x
HIGH
Base Score 2.0
4.60
Severity 2.0
MEDIUM
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