Access to invalid memory during shape inference in `Cudnn*` ops
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-2021-0443 | TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for the `Cudnn*` operations in TensorFlow can be tricked into accessing invalid memory, via a heap buffer overflow. This occurs because the ranks of the `input`, `input_h` and `input_c` parameters are not validated, but code assumes they have certain values. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range. |
Github GHSA |
GHSA-cqv6-3phm-hcwx | Access to invalid memory during shape inference in `Cudnn*` ops |
No CVSS v4.0
No CVSS v3.0
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.221% probability within 30 days)
Key SSVC decision points have not yet been added.
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