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CVE-2021-37635
Good to know:
Date: August 12, 2021
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of sparse reduction operations in TensorFlow can trigger accesses outside of bounds of heap allocated data. The [implementation](https://github.com/tensorflow/tensorflow/blob/a1bc56203f21a5a4995311825ffaba7a670d7747/tensorflow/core/kernels/sparse_reduce_op.cc#L217-L228) fails to validate that each reduction group does not overflow and that each corresponding index does not point to outside the bounds of the input tensor. We have patched the issue in GitHub commit 87158f43f05f2720a374f3e6d22a7aaa3a33f750. The fix will be included in TensorFlow 2.6.0. We will also cherrypick this commit on TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4, as these are also affected and still in supported range.
Language: Python
Severity Score
Severity Score
Weakness Type (CWE)
Out-of-bounds Read
CWE-125Top Fix
Upgrade Version
Upgrade to version tensorflow - 2.3.4, 2.4.3, 2.5.1, 2.6.0, tensorflow-cpu - 2.3.4, 2.4.3, 2.5.1, 2.6.0, tensorflow-gpu - 2.3.4, 2.4.3, 2.5.1, 2.6.0
CVSS v3
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| Attack Vector (AV): | |
| Attack Complexity (AC): | |
| Privileges Required (PR): | |
| User Interaction (UI): | |
| Scope (S): | |
| Confidentiality (C): | NONE |
| Integrity (I): | PARTIAL |
| Availability (A): | NONE |
CVSS v2
| Base Score: |
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| Access Vector (AV): | |
| Access Complexity (AC): | |
| Authentication (AU): | |
| Confidentiality (C): | HIGH |
| Integrity (I): | HIGH |
| Availability (A): | HIGH |
| Additional information: |