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Vulnerability Intelligence
Miggo AI
Miggo AIMiggo AI| Package Name | Ecosystem | Vulnerable Versions | First Patched Version |
|---|---|---|---|
| tensorflow | pip | < 2.7.2 | 2.7.2 |
| tensorflow | pip | >= 2.8.0, < 2.8.1 | 2.8.1 |
| tensorflow | pip | >= 2.9.0, < 2.9.1 | 2.9.1 |
| tensorflow-cpu | pip | < 2.7.2 | 2.7.2 |
| tensorflow-cpu | pip | >= 2.8.0, < 2.8.1 | 2.8.1 |
| tensorflow-cpu | pip | >= 2.9.0, < 2.9.1 | 2.9.1 |
| tensorflow-gpu | pip | < 2.7.2 | 2.7.2 |
| tensorflow-gpu | pip | >= 2.8.0, < 2.8.1 | 2.8.1 |
| tensorflow-gpu | pip | >= 2.9.0, < 2.9.1 | 2.9.1 |
Miggo AIRoot Cause AnalysisThe vulnerability stems from missing input validation in SobolSampleOp's Compute method. The original code assumed inputs 0 (dim), 1 (num_results), and 2 (skip) were scalars but didn't verify their shapes. The patch adds explicit OP_REQUIRES checks using TensorShapeUtils::IsScalar, confirming these were the vulnerable code paths. The CVE description and commit diff both explicitly reference this function as the location of the missing validation checks.
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