CVE-2021-29544
Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a `CHECK`-fail in `tf.raw_ops.QuantizeAndDequantizeV4Grad`. This is because the implementation does not validate the rank of the `input_*` tensors. In turn, this results in the tensors being passes as they are to `QuantizeAndDequantizePerChannelGradientImpl`. However, the `vec<T>` method, requires the rank to 1 and triggers a `CHECK` failure otherwise. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2 as this is the only other affected version.
How to fix
- google tensorflow2.4.2 or later
- tensorflow2.4.2, 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 or later
- tensorflow-cpu2.4.2, 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 or later
- tensorflow-gpu2.4.2, 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 or later
Affected products
| Product | Affected versions | Fixed in |
|---|---|---|
| google tensorflow | 2.4.0 ≤ v < 2.4.2 | 2.4.2 |
| tensorflowPyPI | 2.4.0 ≤ v < 2.4.2, v < 2.2.0rc0, 2.2.0 ≤ v < 2.3.0rc0, 2.3.0 ≤ v < 2.3.4, 2.4.0 ≤ v < 2.4.3 | 2.4.2, 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 |
| tensorflow-cpuPyPI | 2.4.0 ≤ v < 2.4.2, v < 2.2.0rc0, 2.2.0 ≤ v < 2.3.0rc0, 2.3.0 ≤ v < 2.3.4, 2.4.0 ≤ v < 2.4.3 | 2.4.2, 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 |
| tensorflow-gpuPyPI | 2.4.0 ≤ v < 2.4.2, v < 2.2.0rc0, 2.2.0 ≤ v < 2.3.0rc0, 2.3.0 ≤ v < 2.3.4, 2.4.0 ≤ v < 2.4.3 | 2.4.2, 2.2.0rc0, 2.3.0rc0, 2.3.4, 2.4.3 |
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Attack Surface Management
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