Division by zero in TFLite's implementation of `DepthToSpace`
Description
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the DepthToSpace TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/0d45ea1ca641b21b73bcf9c00e0179cda284e7e7/tensorflow/lite/kernels/depth_to_space.cc#L63-L69). An attacker can craft a model such that params->block_size 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.
| Package | Affected versions | Patched versions |
|---|---|---|
tensorflowPyPI | < 2.1.4 | 2.1.4 |
tensorflowPyPI | >= 2.2.0, < 2.2.3 | 2.2.3 |
tensorflowPyPI | >= 2.3.0, < 2.3.3 | 2.3.3 |
tensorflowPyPI | >= 2.4.0, < 2.4.2 | 2.4.2 |
tensorflow-cpuPyPI | < 2.1.4 | 2.1.4 |
tensorflow-cpuPyPI | >= 2.2.0, < 2.2.3 | 2.2.3 |
tensorflow-cpuPyPI | >= 2.3.0, < 2.3.3 | 2.3.3 |
tensorflow-cpuPyPI | >= 2.4.0, < 2.4.2 | 2.4.2 |
tensorflow-gpuPyPI | < 2.1.4 | 2.1.4 |
tensorflow-gpuPyPI | >= 2.2.0, < 2.2.3 | 2.2.3 |
tensorflow-gpuPyPI | >= 2.3.0, < 2.3.3 | 2.3.3 |
tensorflow-gpuPyPI | >= 2.4.0, < 2.4.2 | 2.4.2 |
Affected products
1- Range: < 2.1.4
Patches
1106d8f4fb893Prevent division by 0 in TFLite
3 files changed · +7 −0
tensorflow/lite/kernels/depth_to_space.cc+1 −0 modified@@ -61,6 +61,7 @@ TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { TF_LITE_ENSURE_TYPES_EQ(context, input->type, output->type); const int block_size = params->block_size; + TF_LITE_ENSURE(context, block_size > 0); const int input_height = input->dims->data[1]; const int input_width = input->dims->data[2]; const int input_channels = input->dims->data[3];
tensorflow/lite/kernels/depth_to_space_test.cc+5 −0 modified@@ -60,6 +60,11 @@ TEST(DepthToSpaceOpModel, BadBlockSize) { EXPECT_DEATH(DepthToSpaceOpModel({TensorType_FLOAT32, {1, 1, 1, 4}}, 4), "Cannot allocate tensors"); } + +TEST(DepthToSpaceOpModel, NoBlockSize) { + EXPECT_DEATH(DepthToSpaceOpModel({TensorType_FLOAT32, {1, 1, 1, 4}}, 0), + "Cannot allocate tensors"); +} #endif TEST(DepthToSpaceOpModel, Float32) {
tensorflow/lite/micro/kernels/depth_to_space.cc+1 −0 modified@@ -54,6 +54,7 @@ TfLiteStatus CalculateOpData(TfLiteContext* context, TfLiteNode* node) { TF_LITE_ENSURE_TYPES_EQ(context, input->type, output->type); const int block_size = params->block_size; + TF_LITE_ENSURE(context, block_size > 0); const int input_height = input->dims->data[kHeightRank]; const int input_width = input->dims->data[kWidthRank]; const int input_channels = input->dims->data[kDepthRank];
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
7- github.com/advisories/GHSA-vf94-36g5-69v8ghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-29595ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-523.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-721.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-232.yamlghsaWEB
- github.com/tensorflow/tensorflow/commit/106d8f4fb89335a2c52d7c895b7a7485465ca8d9ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-vf94-36g5-69v8ghsax_refsource_CONFIRMWEB
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