Upstream information
Description
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.SUSE information
Overall state of this security issue: Resolved
This issue is currently rated as having moderate severity.
National Vulnerability Database | |
---|---|
Base Score | 5.8 |
Vector | AV:N/AC:M/Au:N/C:N/I:P/A:P |
Access Vector | Network |
Access Complexity | Medium |
Authentication | None |
Confidentiality Impact | None |
Integrity Impact | Partial |
Availability Impact | Partial |
National Vulnerability Database | |
---|---|
Base Score | 6.5 |
Vector | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:L/A:H |
Attack Vector | Network |
Attack Complexity | High |
Privileges Required | None |
User Interaction | None |
Scope | Unchanged |
Confidentiality Impact | None |
Integrity Impact | Low |
Availability Impact | High |
CVSSv3 Version | 3.1 |
SUSE Security Advisories:
- openSUSE-SU-2020:1766-1, published Thu Dec 7 12:55:41 2023
List of released packages
Product(s) | Fixed package version(s) | References |
---|---|---|
openSUSE Leap 15.2 |
| Patchnames: openSUSE-2020-1766 |
SUSE Timeline for this CVE
CVE page created: Sat Sep 26 03:25:02 2020CVE page last modified: Thu Dec 7 13:28:23 2023