CVE-2020-15197
Denial of Service in Tensorflow
描述
In Tensorflow before version 2.3.1, the `SparseCountSparseOutput` implementation does not validate that the input arguments form a valid sparse tensor. In particular, there is no validation that the `indices` tensor has rank 2. This tensor must be a matrix because code assumes its elements are accessed as elements of a matrix. However, malicious users can pass in tensors of different rank, resulting in a `CHECK` assertion failure and a crash. This can be used to cause denial of service in serving installations, if users are allowed to control the components of the input sparse tensor. The issue is patched in commit 3cbb917b4714766030b28eba9fb41bb97ce9ee02 and is released in TensorFlow version 2.3.1.
如何修補 CVE-2020-15197
要修補 CVE-2020-15197,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-2020-15197 正在被利用嗎?
低 — EPSS 為 0.7%,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:N/SI:N/SA:H |
| osv | CVSS 3.1 | MEDIUM6.3 | CVSS:3.1/AV:N/AC:H/PR:L/UI:N/S:C/C:N/I:N/A:H |