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The vulnerability stems from missing rank validation checks in the SparseTensorToCSRSparseMatrix implementation. The original code checked dense_shape.NumElements() to determine rank but didn't validate TensorShapeUtils::IsVector(dense_shape.shape()) or TensorShapeUtils::IsMatrix(indices.shape()). The patch explicitly added these validations (OP_REQUIRES for IsVector/IsMatrix), confirming these were the missing safeguards. The Compute function in the CPU implementation is the primary entry point handling these inputs, making it the clear vulnerable component.
| Package Name | Ecosystem | Vulnerable Versions | First Patched Version |
|---|---|---|---|
| tensorflow | pip | < 2.6.4 | 2.6.4 |
| tensorflow | pip | >= 2.7.0, < 2.7.2 | 2.7.2 |
| tensorflow | pip | >= 2.8.0, < 2.8.1 | 2.8.1 |
| tensorflow-cpu | pip | < 2.6.4 | 2.6.4 |
| tensorflow-cpu | pip | >= 2.7.0, < 2.7.2 | 2.7.2 |
| tensorflow-cpu | pip | >= 2.8.0, < 2.8.1 | 2.8.1 |
| tensorflow-gpu | pip | < 2.6.4 | 2.6.4 |
| tensorflow-gpu | pip | >= 2.7.0, < 2.7.2 | 2.7.2 |
| tensorflow-gpu | pip | >= 2.8.0, < 2.8.1 | 2.8.1 |
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