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BIT-tensorflow-2021-37672 — Heap OOB in `SdcaOptimizerV2` in TensorFlow

Affected: Bitnami: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples. We have patched the issue in GitHub commit a4e138660270e7599793fa438cd7b2fc2ce215a6. 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.

cnvd-2021-63081

EUVD-2026-29901

fkie_cve-2021-37672

GHSA-5hj3-vjjf-f5m7 — Heap OOB in `SdcaOptimizerV2`

Affected: PyPI: tensorflow, PyPI: tensorflow-cpu, PyPI: tensorflow-gpu

### Impact An attacker can read from outside of bounds of heap allocated data by sending specially crafted illegal arguments to `tf.raw_ops.SdcaOptimizerV2`:

```python import tensorflow as tf tf.raw_ops.SdcaOptimizerV2( sparse_example_indices=[[1]], sparse_feature_indices=[[1]], sparse_feature_values=[[1.0,2.0]], dense_features=[[1.0]], example_weights=[1.0], example_labels=[], sparse_indices=[1], sparse_weights=[1.0], dense_weights=[[1.0]], example_state_data=[[100.0,100.0,100.0,100.0]], loss_type='logistic_loss', l1=100.0, l2=100.0, num_loss_partitions=1, num_inner_iterations=1, adaptive=True) ```

The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/sdca_internal.cc#L320-L353) does not check that the length of `example_labels` is the same as the number of examples.

### Patches We have patched the issue in GitHub commit [a4e138660270e7599793fa438cd7b2fc2ce215a6](https://github.com/tensorflow/tensorflow/commit/a4e138660270e7599793fa438cd7b2fc2ce215a6).

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.

### For more information Please consult [our security guide](https://github.com/tensorflow/tensorflow/blob/master/SECURITY.md) for more information regarding the security model and how to contact us with i…

gsd-2021-37672

openSUSE-SU-2022:10014-1 — Security update for tensorflow2

Security update for tensorflow2

PYSEC-2021-294

Affected: PyPI: tensorflow