TensorFlow is an open source platform for machine learning. In affected versions the shape inference function for `Transpose` is vulnerable to a heap buffer overflow. This occurs whenever `perm` contains negative elements. The shape inference function does not validate that the indices in `perm` are all valid. 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 |
---|---|
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-3ff2-r28g-w7h9 | Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/c79ba87153ee343401dbe9d1954d7f79e521eb14 | Patch Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2021-11-05 16:15
Updated : 2021-11-09 07:53
NVD link : CVE-2021-41216
Mitre link : CVE-2021-41216
JSON object : View
CWE
CWE-787
Out-of-bounds Write
Products Affected
- tensorflow