Division by zero in TFLite's implementation of `SVDF`
Description
TensorFlow is an end-to-end open source platform for machine learning. The implementation of the SVDF TFLite operator is vulnerable to a division by zero error(https://github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.cc#L99-L102). An attacker can craft a model such that params->rank would be 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
16841e522a3e7Prevent division by 0
1 file changed · +1 −0
tensorflow/lite/kernels/svdf.cc+1 −0 modified@@ -99,6 +99,7 @@ TfLiteStatus Prepare(TfLiteContext* context, TfLiteNode* node) { const int rank = params->rank; const int batch_size = input->dims->data[0]; const int num_filters = weights_feature->dims->data[0]; + TF_LITE_ENSURE(context, rank != 0); TF_LITE_ENSURE_EQ(context, num_filters % rank, 0); const int num_units = num_filters / rank; const int memory_size = weights_time->dims->data[1];
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- github.com/advisories/GHSA-pmpr-55fj-r229ghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-29598ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-526.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-724.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-235.yamlghsaWEB
- github.com/tensorflow/tensorflow/blob/7f283ff806b2031f407db64c4d3edcda8fb9f9f5/tensorflow/lite/kernels/svdf.ccghsaWEB
- github.com/tensorflow/tensorflow/commit/6841e522a3e7d48706a02e8819836e809f738682ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-pmpr-55fj-r229ghsax_refsource_CONFIRMWEB
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