CVE-2022-29210
Heap buffer overflow due to incorrect hash function in TensorFlow
描述
TensorFlow is an open source platform for machine learning. In version 2.8.0, the `TensorKey` hash function used total estimated `AllocatedBytes()`, which (a) is an estimate per tensor, and (b) is a very poor hash function for constants (e.g. `int32_t`). It also tried to access individual tensor bytes through `tensor.data()` of size `AllocatedBytes()`. This led to ASAN failures because the `AllocatedBytes()` is an estimate of total bytes allocated by a tensor, including any pointed-to constructs (e.g. strings), and does not refer to contiguous bytes in the `.data()` buffer. The discoverers could not use this byte vector anyway because types such as `tstring` include pointers, whereas they needed to hash the string values themselves. This issue is patched in Tensorflow versions 2.9.0 and 2.8.1.
如何修補 CVE-2022-29210
要修補 CVE-2022-29210,請將受影響套件升級到下列已修補版本。
- —升級至 2.8.1 或更新版本
- —升級至 2.8.1 或更新版本
- —升級至 2.8.1 或更新版本
- —升級至 2.8.1 或更新版本
- —升級至 2.8.1 或更新版本
- —升級至 2.8.1 或更新版本
- —升級至 2.8.1 或更新版本
CVE-2022-29210 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(7)
- >= 2.8.0, < 2.8.1
- >= 2.8.0, < 2.8.1
- >= 2.8.0, < 2.8.1
- >= 2.8.0, < 2.8.1
- >= 2.8.0, < 2.8.1
- >= 2.8.0, < 2.8.1
- >= 2.8.0, < 2.8.1
CVSS 分數
| 來源 | 版本 | 嚴重程度 | 向量 |
|---|---|---|---|
| osv | CVSS 3.1 | MEDIUM5.5 | CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H |