Upstream information
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions due to incomplete validation in MKL implementation of requantization, an attacker can trigger undefined behavior via binding a reference to a null pointer or can access data outside the bounds of heap allocated arrays. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantization_range_per_channel_op.cc) does not validate the dimensions of the `input` tensor. A similar issue occurs in `MklRequantizePerChannelOp`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/mkl/mkl_requantize_per_channel_op.cc) does not perform full validation for all the input arguments. We have patched the issue in GitHub commit 9e62869465573cb2d9b5053f1fa02a81fce21d69 and in the Github commit 203214568f5bc237603dbab6e1fd389f1572f5c9. 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 | 7.8 |
| Vector | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H |
| Attack Vector | Local |
| Attack Complexity | Low |
| Privileges Required | Low |
| User Interaction | None |
| Scope | Unchanged |
| Confidentiality Impact | High |
| Integrity Impact | High |
| 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 16:58:05 2025