VYPR
High severityNVD Advisory· Published Nov 5, 2021· Updated Aug 4, 2024

Missing validation during checkpoint loading

CVE-2021-41203

Description

TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and CHECK-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.

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Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
tensorflowPyPI
>= 2.6.0, < 2.6.12.6.1
tensorflowPyPI
>= 2.5.0, < 2.5.22.5.2
tensorflowPyPI
< 2.4.42.4.4
tensorflow-cpuPyPI
>= 2.6.0, < 2.6.12.6.1
tensorflow-cpuPyPI
>= 2.5.0, < 2.5.22.5.2
tensorflow-cpuPyPI
< 2.4.42.4.4
tensorflow-gpuPyPI
>= 2.6.0, < 2.6.12.6.1
tensorflow-gpuPyPI
>= 2.5.0, < 2.5.22.5.2
tensorflow-gpuPyPI
< 2.4.42.4.4

Affected products

5

Patches

Vulnerability mechanics

References

10

News mentions

0

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