VYPR
High severityNVD Advisory· Published Sep 25, 2020· Updated Aug 4, 2024

Segmentation fault in tensorflow-lite

CVE-2020-15210

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.

AI Insight

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Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
tensorflowPyPI
< 1.15.41.15.4
tensorflowPyPI
>= 2.0.0, < 2.0.32.0.3
tensorflowPyPI
>= 2.1.0, < 2.1.22.1.2
tensorflowPyPI
>= 2.2.0, < 2.2.12.2.1
tensorflowPyPI
>= 2.3.0, < 2.3.12.3.1
tensorflow-cpuPyPI
< 1.15.41.15.4
tensorflow-cpuPyPI
>= 2.0.0, < 2.0.32.0.3
tensorflow-cpuPyPI
>= 2.1.0, < 2.1.22.1.2
tensorflow-cpuPyPI
>= 2.2.0, < 2.2.12.2.1
tensorflow-gpuPyPI
< 1.15.41.15.4
tensorflow-gpuPyPI
>= 2.0.0, < 2.0.32.0.3
tensorflow-gpuPyPI
>= 2.1.0, < 2.1.22.1.2
tensorflow-gpuPyPI
>= 2.2.0, < 2.2.12.2.1
tensorflow-cpuPyPI
>= 2.3.0, < 2.3.12.3.1
tensorflow-gpuPyPI
>= 2.3.0, < 2.3.12.3.1

Affected products

9

Patches

Vulnerability mechanics

References

14

News mentions

0

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