发布时间: 2022年8月11日
修改时间: 2022年8月11日
Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. 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.
| NVD | openEuler | |
|---|---|---|
| CVSS评分 | 6.5 | 6.5 |
| Attack Vector | Network | Network |
| Attack Complexity | Low | Low |
| Privileges Required | Low | Low |
| User Interaction | None | None |
| Scope | Unchanged | Unchanged |
| Confidentiality | None | None |
| Integrity | None | None |
| Availability | High | High |
| 公告名 | 概要 | 发布时间 |
|---|---|---|
| KylinSec-SA-2022-1870 | Tensorflow is an Open Source Machine Learning Framework. The implementation of `OpLevelCostEstimator::CalculateOutputSize` is vulnerable to an integer overflow if an attacker can create an operation which would involve tensors with large enough number of elements. We can have a large enough number of dimensions in `output_shape.dim()` or just a small number of dimensions being large enough to cause an overflow in the multiplication. 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. | 2022年8月11日 |
| 产品 | 包 | 状态 |
|---|---|---|
| KY3.4-4A | tensorflow | Unaffected |
| KY3.4-5A | tensorflow | Unaffected |
| KY3.5.1 | tensorflow | Unaffected |
