CVE-2021-29554
Description
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.
How to fix
- google tensorflow2.1.4, 2.2.3, 2.3.3, 2.4.2 or later
- tensorflow2.3.3, 2.4.2, 2.1.4, 2.2.3 or later
- tensorflow-cpu2.3.3, 2.4.2, 2.1.4, 2.2.3 or later
- tensorflow-gpu2.3.3, 2.4.2, 2.1.4, 2.2.3 or later
Affected products
| Product | Affected versions | Fixed in |
|---|---|---|
| google tensorflow | v < 2.1.4, 2.2.0 ≤ v < 2.2.3, 2.3.0 ≤ v < 2.3.3, 2.4.0 ≤ v < 2.4.2 | 2.1.4, 2.2.3, 2.3.3, 2.4.2 |
| tensorflowPyPI | 2.3.0 ≤ v < 2.3.3, 2.4.0 ≤ v < 2.4.2, v < 2.1.4, 2.2.0 ≤ v < 2.2.3 | 2.3.3, 2.4.2, 2.1.4, 2.2.3 |
| tensorflow-cpuPyPI | 2.3.0 ≤ v < 2.3.3, 2.4.0 ≤ v < 2.4.2, v < 2.1.4, 2.2.0 ≤ v < 2.2.3 | 2.3.3, 2.4.2, 2.1.4, 2.2.3 |
| tensorflow-gpuPyPI | 2.3.0 ≤ v < 2.3.3, 2.4.0 ≤ v < 2.4.2, v < 2.1.4, 2.2.0 ≤ v < 2.2.3 | 2.3.3, 2.4.2, 2.1.4, 2.2.3 |
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