Out of bounds segmentation fault due to unequal op inputs in Tensorflow
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
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| tensorflow | tensorflow | affected |
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Configuration 1 [-]
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No data available yet.
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2022-7448 | TensorFlow is an open source platform for machine learning. When ops that have specified input sizes receive a differing number of inputs, the executor will crash. We have patched the issue in GitHub commit f5381e0e10b5a61344109c1b7c174c68110f7629. The fix will be included in TensorFlow 2.11. We will also cherrypick this commit on TensorFlow 2.10.1, 2.9.3, and TensorFlow 2.8.4, as these are also affected and still in supported range. |
Github GHSA |
GHSA-w58w-79xv-6vcj | Out of bounds segmentation fault due to unequal op inputs in Tensorflow |
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This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.384% probability within 30 days)
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