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.
CVSS Details
- CVSS 3.1 Base Score: 4.4
- CVSS 3.1 Vector: (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L)
Covered by Rapid7
| Product | Vendor Advisory | Solution File | Added | Published |
|---|---|---|---|---|
| Arch Linux | — | Upgrade to the latest version of Arch Linux | Jul 11, 2025 | Dec 10, 2020 |
| Suse | — | Upgrade tensorflow2-liteUpgrade tensorflow2_2_6_0-gnu-openmpi2-hpc-docUpgrade tensorflow2-docUpgrade tensorflow2_2_6_0-gnu-hpc-docUpgrade libtensorflow_cc2Upgrade libiomp5-gnu-hpcUpgrade tensorflow2Upgrade tensorflow2-gnu-openmpi2-hpcUpgrade libtensorflow2Upgrade tensorflow2-gnu-hpcUpgrade libtensorflow_cc2-gnu-hpcUpgrade bazel3.7Upgrade tensorflow2-develUpgrade libiomp5-gnu-openmpi2-hpcUpgrade tensorflow2_2_6_0-gnu-hpc-develUpgrade libtensorflow_framework2-gnu-openmpi2-hpcUpgrade libtensorflow_cc2-gnu-openmpi2-hpcUpgrade tensorflow2_2_6_0-gnu-openmpi2-hpc-develUpgrade bazel-skylib1.0.3-sourceUpgrade libtensorflow_framework2Upgrade tensorflow2_2_6_0-gnu-hpcUpgrade tensorflow2_2_6_0-gnu-openmpi2-hpcUpgrade libiomp5Upgrade tensorflow2-lite-develUpgrade libtensorflow2-gnu-hpcUpgrade libtensorflow2-gnu-openmpi2-hpcUpgrade libtensorflow_framework2-gnu-hpc | Aug 9, 2024 | Dec 10, 2020 |
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