TensorFlow is an open source platform for machine learning. In affected versions if `tf.tile` is called with a large input argument then the TensorFlow process will crash due to a `CHECK`-failure caused by an overflow. The number of elements in the output tensor is too much for the `int64_t` type and the overflow is detected via a `CHECK` statement. This aborts the process. 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/9294094df6fea79271778eb7e7ae1bad8b5ef98f | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/issues/46911 | Exploit Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-2p25-55c9-h58q | Exploit Third Party Advisory |
Configurations
Configuration 1 (hide)
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History
09 Nov 2021, 14:40
Type | Values Removed | Values Added |
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New CVE |
Information
Published : 2021-11-05 20:15
Updated : 2024-02-04 22:08
NVD link : CVE-2021-41198
Mitre link : CVE-2021-41198
CVE.ORG link : CVE-2021-41198
JSON object : View
Products Affected
- tensorflow
CWE
CWE-190
Integer Overflow or Wraparound