In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, if a TFLite saved model uses the same tensor as both input and output of an operator, then, depending on the operator, we can observe a segmentation fault or just memory corruption. We have patched the issue in d58c96946b and will release patch releases for all versions between 1.15 and 2.3. We recommend users to upgrade to TensorFlow 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
References
Link | Resource |
---|---|
http://lists.opensuse.org/opensuse-security-announce/2020-10/msg00065.html | Mailing List Third Party Advisory |
https://github.com/tensorflow/tensorflow/commit/d58c96946b2880991d63d1dacacb32f0a4dfa453 | Patch Third Party Advisory |
https://github.com/tensorflow/tensorflow/releases/tag/v2.3.1 | Third Party Advisory |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-x9j7-x98r-r4w2 | Exploit Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2020-09-25T18:45:30
Updated: 2020-10-29T15:06:19
Reserved: 2020-06-25T00:00:00
Link: CVE-2020-15210
JSON object: View
NVD Information
Status : Analyzed
Published: 2020-09-25T19:15:16.307
Modified: 2021-11-18T17:27:43.563
Link: CVE-2020-15210
JSON object: View
Redhat Information
No data.