CVE-2020-26270
In affected versions of TensorFlow running an LSTM/GRU model where the LSTM/GRU layer receives an input with zero-length results in a CHECK failure when using the CUDA backend. This can result in a query-of-death vulnerability, via denial of service, if users can control the input to the layer. This is fixed in versions 1.15.5, 2.0.4, 2.1.3, 2.2.2, 2.3.2, and 2.4.0.
| Software | From | Fixed in |
|---|---|---|
| google / tensorflow | 2.3.0 | 2.3.2 |
| google / tensorflow | 2.2.0 | 2.2.2 |
| google / tensorflow | 2.1.0 | 2.1.3 |
| google / tensorflow | 2.0.0 | 2.0.4 |
| google / tensorflow | - | 1.15.5 |
tensorflow
|
- | 1.15.5 |
|
tensorflow
|
2.0.0 | 2.0.4 |
|
tensorflow
|
2.1.0 | 2.1.3 |
|
tensorflow
|
2.2.0 | 2.2.2 |
|
tensorflow
|
2.3.0 | 2.3.2 |
|
tensorflow-cpu
|
- | 1.15.5 |
|
tensorflow-cpu
|
2.0.0 | 2.0.4 |
|
tensorflow-cpu
|
2.1.0 | 2.1.3 |
|
tensorflow-cpu
|
2.2.0 | 2.2.2 |
|
tensorflow-cpu
|
2.3.0 | 2.3.2 |
|
tensorflow-gpu
|
- | 1.15.5 |
|
tensorflow-gpu
|
2.0.0 | 2.0.4 |
|
tensorflow-gpu
|
2.1.0 | 2.1.3 |
|
tensorflow-gpu
|
2.2.0 | 2.2.2 |
|
tensorflow-gpu
|
2.3.0 | 2.3.2 |
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