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Moderate severityNVD Advisory· Published Dec 10, 2020· Updated Aug 4, 2024

Uninitialized memory access in Eigen types in TensorFlow

CVE-2020-26266

Description

In affected versions of TensorFlow under certain cases a saved model can trigger use of uninitialized values during code execution. This is caused by having tensor buffers be filled with the default value of the type but forgetting to default initialize the quantized floating point types in Eigen. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.

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Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
tensorflowPyPI
< 1.15.51.15.5
tensorflowPyPI
>= 2.0.0, < 2.0.42.0.4
tensorflowPyPI
>= 2.1.0, < 2.1.32.1.3
tensorflowPyPI
>= 2.2.0, < 2.2.22.2.2
tensorflowPyPI
>= 2.3.0, < 2.3.22.3.2
tensorflow-cpuPyPI
< 1.15.51.15.5
tensorflow-cpuPyPI
>= 2.0.0, < 2.0.42.0.4
tensorflow-cpuPyPI
>= 2.1.0, < 2.1.32.1.3
tensorflow-cpuPyPI
>= 2.2.0, < 2.2.22.2.2
tensorflow-cpuPyPI
>= 2.3.0, < 2.3.22.3.2
tensorflow-gpuPyPI
< 1.15.51.15.5
tensorflow-gpuPyPI
>= 2.0.0, < 2.0.42.0.4
tensorflow-gpuPyPI
>= 2.1.0, < 2.1.32.1.3
tensorflow-gpuPyPI
>= 2.2.0, < 2.2.22.2.2
tensorflow-gpuPyPI
>= 2.3.0, < 2.3.22.3.2

Affected products

17

Patches

Vulnerability mechanics

References

7

News mentions

0

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