CVE-2021-41211
Heap OOB read in shape inference for `QuantizeV2`
描述
TensorFlow is an open source platform for machine learning. In affected versions the shape inference code for `QuantizeV2` can trigger a read outside of bounds of heap allocated array. This occurs whenever `axis` is a negative value less than `-1`. In this case, we are accessing data before the start of a heap buffer. The code allows `axis` to be an optional argument (`s` would contain an `error::NOT_FOUND` error code). Otherwise, it assumes that `axis` is a valid index into the dimensions of the `input` tensor. If `axis` is less than `-1` then this results in a heap OOB read. The fix will be included in TensorFlow 2.7.0. We will also cherrypick this commit on TensorFlow 2.6.1, as this version is the only one that is also affected.
如何修補 CVE-2021-41211
要修補 CVE-2021-41211,請將受影響套件升級到下列已修補版本。
- —升級至 2.6.1 或更新版本
- —升級至 2.6.1 或更新版本
- —升級至 2.6.1 或更新版本
CVE-2021-41211 正在被利用嗎?
低 — EPSS 為 0.2%,目前沒有觀察到大規模利用活動。
受影響套件(3)
- >= 2.6.0, < 2.6.1
- >= 2.6.0, < 2.6.1
- >= 2.6.0, < 2.6.1
CVSS 分數
| 來源 | 版本 | 嚴重程度 | 向量 |
|---|---|---|---|
| osv | CVSS 3.1 | HIGH7.1 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:H |