Upstream information
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions when running shape functions, some functions (such as `MutableHashTableShape`) produce extra output information in the form of a `ShapeAndType` struct. The shapes embedded in this struct are owned by an inference context that is cleaned up almost immediately; if the upstream code attempts to access this shape information, it can trigger a segfault. `ShapeRefiner` is mitigating this for normal output shapes by cloning them (and thus putting the newly created shape under ownership of an inference context that will not die), but we were not doing the same for shapes and types. This commit fixes that by doing similar logic on output shapes and types. We have patched the issue in GitHub commit ee119d4a498979525046fba1c3dd3f13a039fbb1. 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.SUSE information
Overall state of this security issue: Resolved
This issue is currently rated as having important severity.
| CVSS detail | National Vulnerability Database |
|---|---|
| Base Score | 4.6 |
| Vector | AV:L/AC:L/Au:N/C:P/I:P/A:P |
| Access Vector | Local |
| Access Complexity | Low |
| Authentication | None |
| Confidentiality Impact | Partial |
| Integrity Impact | Partial |
| Availability Impact | Partial |
| CVSS detail | National Vulnerability Database |
|---|---|
| Base Score | 6.6 |
| Vector | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:H |
| Attack Vector | Local |
| Attack Complexity | Low |
| Privileges Required | Low |
| User Interaction | None |
| Scope | Unchanged |
| Confidentiality Impact | Low |
| Integrity Impact | Low |
| Availability Impact | High |
| CVSSv3 Version | 3.1 |
SUSE Security Advisories:
- openSUSE-SU-2022:10014-1, published Sat Jun 18 22:42:57 2022
List of released packages
| Product(s) | Fixed package version(s) | References |
|---|---|---|
| SUSE Package Hub 15 SP3 |
| Patchnames: openSUSE-2022-10014 |
| openSUSE Leap 15.3 |
| Patchnames: openSUSE-2022-10014 |
| openSUSE Tumbleweed |
| Patchnames: openSUSE-Tumbleweed-2024-12116 |
Status of this issue by product and package
Please note that this evaluation state might be work in progress, incomplete or outdated. Also information for service packs in the LTSS phase is only included for issues meeting the LTSS criteria. If in doubt, feel free to contact us for clarification. The updates are grouped by state of their lifecycle. SUSE product lifecycles are documented on the lifecycle page.
| Product(s) | Source package | State |
|---|---|---|
| Products past their end of life and not receiving proactive updates anymore. | ||
| SUSE Package Hub 15 SP3 | bazel-skylib1.0.3 | Released |
| SUSE Package Hub 15 SP3 | bazel3.7 | Released |
| SUSE Package Hub 15 SP3 | tensorflow2 | Released |
| SUSE Package Hub 15 SP3 | tensorflow2-lite | Released |
| SUSE Package Hub 15 SP3 | tensorflow2_2_6_0-gnu-hpc | Released |
| SUSE Package Hub 15 SP3 | tensorflow2_2_6_0-gnu-openmpi2-hpc | Released |
SUSE Timeline for this CVE
CVE page created: Mon Aug 16 09:53:32 2021CVE page last modified: Thu Dec 11 16:58:31 2025