TensorFlow is an open source platform for machine learning. In affeced versions during execution, `EinsumHelper::ParseEquation()` is supposed to set the flags in `input_has_ellipsis` vector and `*output_has_ellipsis` boolean to indicate whether there is ellipsis in the corresponding inputs and output. However, the code only changes these flags to `true` and never assigns `false`. This results in unitialized variable access if callers assume that `EinsumHelper::ParseEquation()` always sets these flags. 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/commit/f09caa532b6e1ac8d2aa61b7832c78c5b79300c6 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-j86v-p27c-73fm | Exploit Third Party Advisory |
Configurations
Configuration 1 (hide)
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Information
Published : 2021-11-05 13:15
Updated : 2021-11-09 07:58
NVD link : CVE-2021-41201
Mitre link : CVE-2021-41201
JSON object : View
CWE
CWE-824
Access of Uninitialized Pointer
Products Affected
- tensorflow