CVE-2022-35974
MEDIUM5.9EPSS 0.06%Segfault in `QuantizeDownAndShrinkRange` in TensorFlow
發布日:2022/9/16修改日:2025/5/20
描述
TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs for `input_min` or `input_max`, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
受影響套件(4)
- Bitnami/tensorflow>= 2.7.0, < 2.7.2, >= 2.8.0, < 2.8.1, >= 2.9.0, < 2.9.1
- PyPI/tensorflowfrom 0, < 2.7.2
- PyPI/tensorflow-cpufrom 0, < 2.7.2
- PyPI/tensorflow-gpufrom 0, < 2.7.2
CVSS 分數
| 來源 | 版本 | 嚴重程度 | 向量 |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM5.9 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H |
參考連結(5)
- ADVISORYhttps://nvd.nist.gov/vuln/detail/CVE-2022-35974
- PATCHhttps://github.com/tensorflow/tensorflow
- WEBhttps://github.com/tensorflow/tensorflow/commit/73ad1815ebcfeb7c051f9c2f7ab5024380ca8613
- WEBhttps://github.com/tensorflow/tensorflow/releases/tag/v2.10.0
- WEBhttps://github.com/tensorflow/tensorflow/security/advisories/GHSA-vgvh-2pf4-jr2x