CVE-2020-15210
Medium
Description
In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
SeverityMedium
CVSS6.5
Exploit probability—
Product
Google Tensorflow
PublishedSep 25, 2020
First seenSep 25, 2020
Weakness typeCWE-20Improper input validation
How to fix
Update
- google tensorflow1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or later
- tensorflow1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or later
- tensorflow-cpu1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or later
- tensorflow-gpu1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 or later
Affected products
| Product | Affected versions | Fixed in |
|---|---|---|
| google tensorflow | v < 1.15.4, 2.0.0 ≤ v < 2.0.3, 2.1.0 ≤ v < 2.1.2, 2.2.0 ≤ v < 2.2.1, 2.3.0 ≤ v < 2.3.1 | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 |
| opensuse leap | 15.2 | — |
| tensorflowPyPI | v < 1.15.4, 2.0.0 ≤ v < 2.0.3, 2.1.0 ≤ v < 2.1.2, 2.2.0 ≤ v < 2.2.1, 2.3.0 ≤ v < 2.3.1 | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 |
| tensorflow-cpuPyPI | v < 1.15.4, 2.0.0 ≤ v < 2.0.3, 2.1.0 ≤ v < 2.1.2, 2.2.0 ≤ v < 2.2.1, 2.3.0 ≤ v < 2.3.1 | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 |
| tensorflow-gpuPyPI | v < 1.15.4, 2.0.0 ≤ v < 2.0.3, 2.1.0 ≤ v < 2.1.2, 2.2.0 ≤ v < 2.2.1, 2.3.0 ≤ v < 2.3.1 | 1.15.4, 2.0.3, 2.1.2, 2.2.1, 2.3.1 |
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