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Low severityNVD Advisory· Published May 14, 2021· Updated Aug 3, 2024

Division by zero in TFLite's implementation of `SpaceToBatchNd`

CVE-2021-29597

Description

TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SpaceToBatchNd TFLite operator is vulnerable to a division by zero error. An attacker can craft a model such that one dimension of the block input is 0. Hence, the corresponding value in block_shape is 0. The fix will be included in TensorFlow 2.5.0. We will also cherrypick this commit on TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3 and TensorFlow 2.1.4, as these are also affected and still in supported range.

Affected packages

Versions sourced from the GitHub Security Advisory.

PackageAffected versionsPatched versions
tensorflowPyPI
< 2.1.42.1.4
tensorflowPyPI
>= 2.2.0, < 2.2.32.2.3
tensorflowPyPI
>= 2.3.0, < 2.3.32.3.3
tensorflowPyPI
>= 2.4.0, < 2.4.22.4.2
tensorflow-cpuPyPI
< 2.1.42.1.4
tensorflow-cpuPyPI
>= 2.2.0, < 2.2.32.2.3
tensorflow-cpuPyPI
>= 2.3.0, < 2.3.32.3.3
tensorflow-cpuPyPI
>= 2.4.0, < 2.4.22.4.2
tensorflow-gpuPyPI
< 2.1.42.1.4
tensorflow-gpuPyPI
>= 2.2.0, < 2.2.32.2.3
tensorflow-gpuPyPI
>= 2.3.0, < 2.3.32.3.3
tensorflow-gpuPyPI
>= 2.4.0, < 2.4.22.4.2

Affected products

1

Patches

1
6d36ba655770

Prevent division by 0

https://github.com/tensorflow/tensorflowMihai MaruseacApr 28, 2021via ghsa
commit
1 file changed · +1 −0
  • tensorflow/lite/kernels/space_to_batch_nd.cc+1 −0 modified
    @@ -79,6 +79,7 @@ TfLiteStatus ResizeOutputTensor(TfLiteContext* context,
   for (int dim = 0; dim < spatial_dims_num; ++dim) {
     int final_dim_size = (input_size->data[dim + 1] + paddings_data[dim * 2] +
                           paddings_data[dim * 2 + 1]);
+    TF_LITE_ENSURE(context, block_shape[dim] != 0);
     TF_LITE_ENSURE_EQ(context, final_dim_size % block_shape[dim], 0);
     output_size->data[dim + 1] = final_dim_size / block_shape[dim];
     output_batch_size *= block_shape[dim];

Vulnerability mechanics

Generated by null/stub on May 9, 2026. Inputs: CWE entries + fix-commit diffs from this CVE's patches. Citations validated against bundle.

References

8

News mentions

0

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