In tensorflow-lite before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, to mimic Python's indexing with negative values, TFLite uses `ResolveAxis` to convert negative values to positive indices. However, the only check that the converted index is now valid is only present in debug builds. If the `DCHECK` does not trigger, then code execution moves ahead with a negative index. This, in turn, results in accessing data out of bounds which results in segfaults and/or data corruption. The issue is patched in commit 2d88f470dea2671b430884260f3626b1fe99830a, and is released in TensorFlow versions 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/2d88f470dea2671b430884260f3626b1fe99830a | 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-q4qf-3fc6-8x34 | Exploit Third Party Advisory |
History
No history.
MITRE Information
Status: PUBLISHED
Assigner: GitHub_M
Published: 2020-09-25T18:45:46
Updated: 2020-10-29T15:06:22
Reserved: 2020-06-25T00:00:00
Link: CVE-2020-15207
JSON object: View
NVD Information
Status : Analyzed
Published: 2020-09-25T19:15:15.993
Modified: 2021-11-18T17:27:27.907
Link: CVE-2020-15207
JSON object: View
Redhat Information
No data.