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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 |
PythonPythonMiggo AIRoot Cause AnalysisThe vulnerability stems from TensorListConcat's Compute method in list_kernels.h. The original code (pre-patch) directly accessed element_shape_.dim_sizes() and created a subspan(1) without checking for empty input. The patch adds an explicit OP_REQUIRES check to validate dim_sizes isn't empty. This matches the vulnerability description where empty element_shape causes a segfault, and the CWE-20 (Improper Input Validation) classification confirms the missing validation was the root cause.
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