CVE-2020-15201
Description
In Tensorflow before version 2.3.1, the `RaggedCountSparseOutput` implementation does not validate that the input arguments form a valid ragged tensor. In particular, there is no validation that the values in the `splits` tensor generate a valid partitioning of the `values` tensor. Hence, the code is prone to heap buffer overflow. If `split_values` does not end with a value at least `num_values` then the `while` loop condition will trigger a read outside of the bounds of `split_values` once `batch_idx` grows too large. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
How to fix
- tensorflow2.3.1 or later
- tensorflow-cpu2.3.1 or later
- tensorflow-gpu2.3.1 or later
Affected products
| Product | Affected versions | Fixed in |
|---|---|---|
| google tensorflow | 2.3.0 | — |
| tensorflowPyPI | 2.3.0 ≤ v < 2.3.1, v < 2.3.1 | 2.3.1 |
| tensorflow-cpuPyPI | 2.3.0 ≤ v < 2.3.1, v < 2.3.1 | 2.3.1 |
| tensorflow-gpuPyPI | 2.3.0 ≤ v < 2.3.1, v < 2.3.1 | 2.3.1 |
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