Upstream information
Description
Tensorflow is an Open Source Machine Learning Framework. The implementation of shape inference for `ConcatV2` can be used to trigger a denial of service attack via a segfault caused by a type confusion. The `axis` argument is translated into `concat_dim` in the `ConcatShapeHelper` helper function. Then, a value for `min_rank` is computed based on `concat_dim`. This is then used to validate that the `values` tensor has at least the required rank. However, `WithRankAtLeast` receives the lower bound as a 64-bits value and then compares it against the maximum 32-bits integer value that could be represented. Due to the fact that `min_rank` is a 32-bits value and the value of `axis`, the `rank` argument is a negative value, so the error check is bypassed. The fix will be included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range.SUSE information
Overall state of this security issue: Does not affect SUSE products
This issue is currently rated as having critical severity.
National Vulnerability Database | |
---|---|
Base Score | 4 |
Vector | AV:N/AC:L/Au:S/C:N/I:N/A:P |
Access Vector | Network |
Access Complexity | Low |
Authentication | Single |
Confidentiality Impact | None |
Integrity Impact | None |
Availability Impact | Partial |
National Vulnerability Database | |
---|---|
Base Score | 6.5 |
Vector | CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |
Attack Vector | Network |
Attack Complexity | Low |
Privileges Required | Low |
User Interaction | None |
Scope | Unchanged |
Confidentiality Impact | None |
Integrity Impact | None |
Availability Impact | High |
CVSSv3 Version | 3.1 |
List of released packages
Product(s) | Fixed package version(s) | References |
---|---|---|
openSUSE Tumbleweed |
| Patchnames: openSUSE-Tumbleweed-2024-12116 |
SUSE Timeline for this CVE
CVE page created: Fri Feb 4 10:30:25 2022CVE page last modified: Tue Sep 3 19:24:58 2024