CVE-2020-15202
Integer truncation in Shard API usage
描述
In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, the `Shard` API in TensorFlow expects the last argument to be a function taking two `int64` (i.e., `long long`) arguments. However, there are several places in TensorFlow where a lambda taking `int` or `int32` arguments is being used. In these cases, if the amount of work to be parallelized is large enough, integer truncation occurs. Depending on how the two arguments of the lambda are used, this can result in segfaults, read/write outside of heap allocated arrays, stack overflows, or data corruption. The issue is patched in commits 27b417360cbd671ef55915e4bb6bb06af8b8a832 and ca8c013b5e97b1373b3bb1c97ea655e69f31a575, and is released in TensorFlow versions 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1.
如何修補 CVE-2020-15202
要修補 CVE-2020-15202,請將受影響套件升級到下列已修補版本。
- —升級至 1.15.4 或更新版本
- —升級至 1.15.4 或更新版本
- —升級至 1.15.4 或更新版本
CVE-2020-15202 正在被利用嗎?
低 — EPSS 為 1.2%,目前沒有觀察到大規模利用活動。
受影響套件(3)
- from 0, < 1.15.4
- from 0, < 1.15.4
- from 0, < 1.15.4
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:N/UI:N/VC:N/VI:N/VA:N/SC:H/SI:H/SA:H |
| osv | CVSS 3.1 | CRITICAL9.0 | CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:H/I:H/A:H |