Upstream information
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions it is possible to nest a `tf.map_fn` within another `tf.map_fn` call. However, if the input tensor is a `RaggedTensor` and there is no function signature provided, code assumes the output is a fully specified tensor and fills output buffer with uninitialized contents from the heap. The `t` and `z` outputs should be identical, however this is not the case. The last row of `t` contains data from the heap which can be used to leak other memory information. The bug lies in the conversion from a `Variant` tensor to a `RaggedTensor`. The [implementation](https://github.com/tensorflow/tensorflow/blob/460e000de3a83278fb00b61a16d161b1964f15f4/tensorflow/core/kernels/ragged_tensor_from_variant_op.cc#L177-L190) does not check that all inner shapes match and this results in the additional dimensions. The same implementation can result in data loss, if input tensor is tweaked. We have patched the issue in GitHub commit 4e2565483d0ffcadc719bd44893fb7f609bb5f12. 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 16:58:19 2025