Unitialized access in `EinsumHelper::ParseEquation`
Description
TensorFlow is an open source platform for machine learning. In affeced versions during execution, EinsumHelper::ParseEquation() is supposed to set the flags in input_has_ellipsis vector and *output_has_ellipsis boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to true and never assigns false. This results in unitialized variable access if callers assume that EinsumHelper::ParseEquation() always sets these flags. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, 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 | >= 2.6.0, < 2.6.1 | 2.6.1 |
tensorflowPyPI | >= 2.5.0, < 2.5.2 | 2.5.2 |
tensorflowPyPI | < 2.4.4 | 2.4.4 |
tensorflow-cpuPyPI | >= 2.6.0, < 2.6.1 | 2.6.1 |
tensorflow-cpuPyPI | >= 2.5.0, < 2.5.2 | 2.5.2 |
tensorflow-cpuPyPI | < 2.4.4 | 2.4.4 |
tensorflow-gpuPyPI | >= 2.6.0, < 2.6.1 | 2.6.1 |
tensorflow-gpuPyPI | >= 2.5.0, < 2.5.2 | 2.5.2 |
tensorflow-gpuPyPI | < 2.4.4 | 2.4.4 |
Affected products
1- Range: >= 2.6.0, < 2.6.1
Patches
1f09caa532b6eFix EinsumHelper::ParseEquation to avoid uninitialized accesses.
1 file changed · +2 −0
tensorflow/core/kernels/linalg/einsum_op_impl.h+2 −0 modified@@ -153,6 +153,7 @@ struct EinsumHelper { input_has_ellipsis->resize(num_inputs); for (int i = 0; i < num_inputs; ++i) { input_label_counts->at(i).resize(num_labels); + input_has_ellipsis->at(i) = false; for (const int label : input_labels->at(i)) { if (label != kEllipsisLabel) input_label_counts->at(i)[label] += 1; @@ -161,6 +162,7 @@ struct EinsumHelper { } } output_label_counts->resize(num_labels); + *output_has_ellipsis = false; for (const int label : *output_labels) { if (label != kEllipsisLabel) output_label_counts->at(label) += 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
7- github.com/advisories/GHSA-j86v-p27c-73fmghsaADVISORY
- nvd.nist.gov/vuln/detail/CVE-2021-41201ghsaADVISORY
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-cpu/PYSEC-2021-611.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow-gpu/PYSEC-2021-809.yamlghsaWEB
- github.com/pypa/advisory-database/tree/main/vulns/tensorflow/PYSEC-2021-394.yamlghsaWEB
- github.com/tensorflow/tensorflow/commit/f09caa532b6e1ac8d2aa61b7832c78c5b79300c6ghsax_refsource_MISCWEB
- github.com/tensorflow/tensorflow/security/advisories/GHSA-j86v-p27c-73fmghsax_refsource_CONFIRMWEB
News mentions
0No linked articles in our index yet.