Division by 0 in `FusedBatchNorm`
Description
TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a denial of service via a FPE runtime error in tf.raw_ops.FusedBatchNorm. This is because the implementation(https://github.com/tensorflow/tensorflow/blob/828f346274841fa7505f7020e88ca36c22e557ab/tensorflow/core/kernels/fused_batch_norm_op.cc#L295-L297) performs a division based on the last dimension of the x tensor. Since this is controlled by the user, an attacker can trigger a denial of service. 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
11a2a87229d1dFix FPE issue with `tf.raw_ops.FusedBatchNorm`.
1 file changed · +3 −0
tensorflow/core/kernels/fused_batch_norm_op.cc+3 −0 modified@@ -293,6 +293,9 @@ struct FusedBatchNorm<CPUDevice, T, U, /* is_training= */ false> { const CPUDevice& d = context->eigen_device<CPUDevice>(); const int depth = x.dimension(3); + OP_REQUIRES( + context, depth != 0, + errors::Internal("The 4th element in the input shape cannot be 0.")); const int size = x.size(); const int rest_size = size / depth; Eigen::DSizes<Eigen::Index, 2> rest_by_depth(rest_size, depth);
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-r35g-4525-29fqghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-29555ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-483.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-681.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-192.yamlghsaWEB
- github.com/tensorflow/tensorflow/commit/1a2a87229d1d61e23a39373777c056161eb4084dghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-r35g-4525-29fqghsax_refsource_CONFIRMWEB
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