CVE-2020-15196
Heap buffer overflow in Tensorflow
描述
In Tensorflow version 2.3.0, the `SparseCountSparseOutput` and `RaggedCountSparseOutput` implementations don't validate that the `weights` tensor has the same shape as the data. The check exists for `DenseCountSparseOutput`, where both tensors are fully specified. In the sparse and ragged count weights are still accessed in parallel with the data. But, since there is no validation, a user passing fewer weights than the values for the tensors can generate a read from outside the bounds of the heap buffer allocated for the weights. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
如何修補 CVE-2020-15196
要修補 CVE-2020-15196,請將受影響套件升級到下列已修補版本。
- —升級至 2.3.1 或更新版本
- —升級至 2.3.1 或更新版本
- —升級至 2.3.1 或更新版本
CVE-2020-15196 正在被利用嗎?
低 — EPSS 為 0.9%,目前沒有觀察到大規模利用活動。
受影響套件(3)
- >= 2.3.0, < 2.3.1
- >= 2.3.0, < 2.3.1
- >= 2.3.0, < 2.3.1
CVSS 分數
| 來源 | 版本 | 嚴重程度 | 向量 |
|---|---|---|---|
| osv | CVSS 4.0 | — | CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H |
| osv | CVSS 3.1 | HIGH8.5 | CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:H/I:H/A:H |