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CVE-2020-26266: Use of Uninitialized Resource

December 10, 2020 (updated December 14, 2020)

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.

References

  • nvd.nist.gov/vuln/detail/CVE-2020-26266

Code Behaviors & Features

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Affected versions

All versions before 1.15.5, all versions starting from 2.0.0 before 2.0.4, all versions starting from 2.1.0 before 2.1.3, all versions starting from 2.2.0 before 2.2.2, all versions starting from 2.3.0 before 2.3.2

Solution

Unfortunately, there is no solution available yet.

Impact 5.3 MEDIUM

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L

Learn more about CVSS

Weakness

  • CWE-908: Use of Uninitialized Resource

Source file

maven/org.tensorflow/parentpom/CVE-2020-26266.yml

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