Upstream information
Description
Tensorflow is an Open Source Machine Learning Framework. A malicious user can cause a denial of service by altering a `SavedModel` such that any binary op would trigger `CHECK` failures. This occurs when the protobuf part corresponding to the tensor arguments is modified such that the `dtype` no longer matches the `dtype` expected by the op. In that case, calling the templated binary operator for the binary op would receive corrupted data, due to the type confusion involved. If `Tin` and `Tout` don't match the type of data in `out` and `input_*` tensors then `flat<*>` would interpret it wrongly. In most cases, this would be a silent failure, but we have noticed scenarios where this results in a `CHECK` crash, hence a denial of service. 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 19:25:12 2024