Python| 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 |
Miggo AIRoot Cause AnalysisThe vulnerability stemmed from two key issues: (1) Missing kernel registrations for quantized types in StridedSlice operations (evidenced by the commit adding TF_CALL_QUANTIZED_TYPES to strided_slice_op.cc/impl.h), and (2) insufficient null-checking in ParseDimensionValue when handling shape extraction. The StridedSliceOp and StridedSliceAssignOp were vulnerable due to lacking quantized type support, leading to nullptr kernel returns. ParseDimensionValue became a crash vector when it received this nullptr due to the missing kernel. The commit patched both the kernel registration and null-checking aspects.
KEV Misses 88% of Exploited CVEs- Get the report
