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.
References
Link | Resource |
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https://github.com/tensorflow/tensorflow/security/advisories/GHSA-cqv6-3phm-hcwx | Exploit Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/af5fcebb37c8b5d71c237f4e59c6477015c78ce6 | Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2021-11-05 16:15
Updated : 2021-11-10 05:19
NVD link : CVE-2021-41221
Mitre link : CVE-2021-41221
JSON object : View
CWE
CWE-787
Out-of-bounds Write
Products Affected
- tensorflow