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BIT-tensorflow-2021-29554 — Division by 0 in `DenseCountSparseOutput`

Affected: Bitnami: tensorflow

TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division. Since `data` is given by the `values` argument, `num_batch_elements` is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.

cnvd-2021-37628

EUVD-2026-26495

fkie_cve-2021-29554

GHSA-qg48-85hg-mqc5 — Division by 0 in `DenseCountSparseOutput`

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

### Impact An attacker can cause a denial of service via a FPE runtime error in `tf.raw_ops.DenseCountSparseOutput`:

```python import tensorflow as tf

values = tf.constant([], shape=[0, 0], dtype=tf.int64) weights = tf.constant([])

tf.raw_ops.DenseCountSparseOutput( values=values, weights=weights, minlength=-1, maxlength=58, binary_output=True) ``` This is because the [implementation](https://github.com/tensorflow/tensorflow/blob/efff014f3b2d8ef6141da30c806faf141297eca1/tensorflow/core/kernels/count_ops.cc#L123-L127) computes a divisor value from user data but does not check that the result is 0 before doing the division:

```cc int num_batch_elements = 1; for (int i = 0; i < num_batch_dimensions; ++i) { num_batch_elements *= data.shape().dim_size(i); } int num_value_elements = data.shape().num_elements() / num_batch_elements; ```

Since `data` is given by the `values` argument, `num_batch_elements` is 0.

### Patches We have patched the issue in GitHub commit [da5ff2daf618591f64b2b62d9d9803951b945e9f](https://github.com/tensorflow/tensorflow/commit/da5ff2daf618591f64b2b62d9d9803951b945e9f).

The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, and TensorFlow 2.3.3, as these are also affected.

### 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 issues and question…

gsd-2021-29554

PYSEC-2021-191

Affected: PyPI: tensorflow