TensorFlow is an end-to-end open source platform for machine learning. If a user does not provide a valid padding value to `tf.raw_ops.MatrixDiagPartOp`, then the code triggers a null pointer dereference (if input is empty) or produces invalid behavior, ignoring all values after the first. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/linalg/matrix_diag_op.cc#L89) reads the first value from a tensor buffer without first checking that the tensor has values to read from. We have patched the issue in GitHub commit 482da92095c4d48f8784b1f00dda4f81c28d2988. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
CVSS Details
- CVSS 3.1 Base Score: 7.7
- CVSS 3.1 Vector: (CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:H/A:H)
Covered by Rapid7
| Product | Vendor Advisory | Solution File | Added | Published |
|---|---|---|---|---|
| Suse | — | Upgrade libiomp5-gnu-openmpi2-hpcUpgrade libtensorflow2-gnu-openmpi2-hpcUpgrade libtensorflow_cc2Upgrade tensorflow2_2_6_0-gnu-hpc-develUpgrade tensorflow2_2_6_0-gnu-openmpi2-hpc-develUpgrade tensorflow2_2_6_0-gnu-hpcUpgrade libtensorflow_cc2-gnu-openmpi2-hpcUpgrade tensorflow2-liteUpgrade tensorflow2-lite-develUpgrade bazel-skylib1.0.3-sourceUpgrade tensorflow2_2_6_0-gnu-openmpi2-hpc-docUpgrade libtensorflow_cc2-gnu-hpcUpgrade bazel3.7Upgrade libtensorflow2-gnu-hpcUpgrade tensorflow2Upgrade tensorflow2-docUpgrade libtensorflow2Upgrade tensorflow2-gnu-openmpi2-hpcUpgrade tensorflow2-gnu-hpcUpgrade libtensorflow_framework2-gnu-openmpi2-hpcUpgrade libtensorflow_framework2Upgrade libiomp5Upgrade tensorflow2_2_6_0-gnu-hpc-docUpgrade libtensorflow_framework2-gnu-hpcUpgrade tensorflow2-develUpgrade libiomp5-gnu-hpcUpgrade tensorflow2_2_6_0-gnu-openmpi2-hpc | Oct 26, 2022 | Aug 12, 2021 |
Prioritise with Active Threat Intelligence
With curated Threat Intelligence, you can see which vulnerabilities truly put you at risk, prioritize what matters most, and act before attackers do.
Explore Intelligence Hub