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Vulnerability Intelligence
Miggo AI
Miggo AIMiggo AI| Package Name | Ecosystem | Vulnerable Versions | First Patched Version |
|---|---|---|---|
| tensorflow | pip | < 2.8.4 | 2.8.4 |
| tensorflow | pip | >= 2.9.0, < 2.9.3 | 2.9.3 |
| tensorflow | pip | >= 2.10.0, < 2.10.1 | 2.10.1 |
| tensorflow-cpu | pip | < 2.8.4 | 2.8.4 |
| tensorflow-gpu | pip | < 2.8.4 | 2.8.4 |
| tensorflow-cpu | pip | >= 2.9.0, < 2.9.3 | 2.9.3 |
| tensorflow-gpu | pip | >= 2.9.0, < 2.9.3 | 2.9.3 |
| tensorflow-cpu | pip | >= 2.10.0, < 2.10.1 | 2.10.1 |
| tensorflow-gpu | pip | >= 2.10.0, < 2.10.1 | 2.10.1 |
Miggo AIRoot Cause AnalysisThe vulnerability stems from missing input validation in ExtractVariantFromInput, which is called by SparseMatrixNNZ. The commit diff shows the patched version added a TensorShapeUtils::IsScalar check to validate() input rank. Prior to this fix, passing a non-scalar tensor (like an empty list) would bypass validation and trigger a CHECK failure in downstream matrix processing. The function's responsibility to validate() input shape before accessing variant data makes it the root cause.