Division by 0 in `SparseMatMul`
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.SparseMatMul. The division by 0 occurs deep in Eigen code because the b tensor is empty. 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
17f283ff806b2Fix FPE issue in external Eigen source code issue with `tf.raw_ops.SparseMatMul`.
1 file changed · +4 −0
tensorflow/core/kernels/sparse_matmul_op.cc+4 −0 modified@@ -1039,6 +1039,10 @@ class SparseMatMulOp : public OpKernel { if (transpose_b) { // TODO(agarwal): avoid transposing the matrix here and directly handle // transpose in CreateDenseSlices. + OP_REQUIRES(ctx, right->dim_size(0) != 0, + errors::InvalidArgument("b has an entry 0 in it's shape.")); + OP_REQUIRES(ctx, right->dim_size(1) != 0, + errors::InvalidArgument("b has an entry 0 in it's shape.")); right_tr.reset( new Tensor(right->dtype(), TensorShape({right->dim_size(1), right->dim_size(0)})));
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-xw93-v57j-fcghghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-29557ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-485.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-683.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-194.yamlghsaWEB
- github.com/tensorflow/tensorflow/commit/7f283ff806b2031f407db64c4d3edcda8fb9f9f5ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-xw93-v57j-fcghghsax_refsource_CONFIRMWEB
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