CVE-2020-15201
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.
| Software | From | Fixed in |
|---|---|---|
| google / tensorflow | 2.3.0 | 2.3.0.x |
tensorflow
|
2.3.0 | 2.3.0.x |
|
tensorflow
|
2.3.0 | 2.3.1 |
|
tensorflow-cpu
|
2.3.0 | 2.3.0.x |
|
tensorflow-cpu
|
2.3.0 | 2.3.1 |
|
tensorflow-gpu
|
2.3.0 | 2.3.0.x |
|
tensorflow-gpu
|
2.3.0 | 2.3.1 |
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