Null pointer dereference in `MatrixDiagPartOp` in TensorFlow
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
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| tensorflow | tensorflow | affected |
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Configuration 1 [-]
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| Source | ID | Title |
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EUVD |
EUVD-2021-0369 | 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. |
Github GHSA |
GHSA-fcwc-p4fc-c5cc | Null pointer dereference in `MatrixDiagPartOp` |
No CVSS v4.0
No CVSS v3.0
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.160% probability within 30 days)
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