CVE-2020-15200
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. Thus, the code sets up conditions to cause a heap buffer overflow. A `BatchedMap` is equivalent to a vector where each element is a hashmap. However, if the first element of `splits_values` is not 0, `batch_idx` will never be 1, hence there will be no hashmap at index 0 in `per_batch_counts`. Trying to access that in the user code results in a segmentation fault. 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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