Upstream information
Description
TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.raw_ops.StringNGrams` is vulnerable to an integer overflow issue caused by converting a signed integer value to an unsigned one and then allocating memory based on this value. The [implementation](https://github.com/tensorflow/tensorflow/blob/8d72537c6abf5a44103b57b9c2e22c14f5f49698/tensorflow/core/kernels/string_ngrams_op.cc#L184) calls `reserve` on a `tstring` with a value that sometimes can be negative if user supplies negative `ngram_widths`. The `reserve` method calls `TF_TString_Reserve` which has an `unsigned long` argument for the size of the buffer. Hence, the implicit conversion transforms the negative value to a large integer. We have patched the issue in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. 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 | 2.1 |
| Vector | AV:L/AC:L/Au:N/C:N/I:N/A:P |
| Access Vector | Local |
| Access Complexity | Low |
| Authentication | None |
| Confidentiality Impact | None |
| Integrity Impact | None |
| Availability Impact | Partial |
| CVSS detail | National Vulnerability Database |
|---|---|
| Base Score | 5.5 |
| Vector | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
| Attack Vector | Local |
| Attack Complexity | Low |
| Privileges Required | Low |
| User Interaction | None |
| Scope | Unchanged |
| Confidentiality Impact | None |
| Integrity Impact | None |
| 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Please note that this evaluation state might be work in progress, incomplete or outdated.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 16:57:46 2025