PYSEC-2022-137: Uninitialized variable access in Tensorflow

Published Feb 4, 2022
·
Updated

Tensorflow is an Open Source Machine Learning Framework. The implementation of AssignOp can result in copying uninitialized data to a new tensor. This later results in undefined behavior. The implementation has a check that the left hand side of the assignment is initialized (to minimize number of allocations), but does not check that the right hand side is also initialized. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.

Affected Software

1 affected component
Google TensorFlow>=2.5.0<2.5.3, >=2.6.0<2.6.3, >=2.7.0<2.7.1, <2.8.0

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.8.0
  2. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.7.1
  3. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.6.3
  4. Upgrade

    Upgrade tensorflow to a version that resolves this vulnerability.

    Fixed in 2.5.3

Event History

Feb 4, 2022
CVE Published
via OSV·10:32 PM
Data Sourced
via OSV·10:32 PM
DescriptionSeverityWeakness

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