CVE编号
CVE-2021-41203利用情况
暂无补丁情况
N/A披露时间
2021-11-06漏洞描述
TensorFlow is an open source platform for machine learning. In affected versions an attacker can trigger undefined behavior, integer overflows, segfaults and `CHECK`-fail crashes if they can change saved checkpoints from outside of TensorFlow. This is because the checkpoints loading infrastructure is missing validation for invalid file formats. The fixes will be included in TensorFlow 2.7.0. We will also cherrypick these commits on TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4, as these are also affected and still in supported range.解决建议
建议您更新当前系统或软件至最新版,完成漏洞的修复。
参考链接 |
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https://github.com/tensorflow/tensorflow/commit/368af875869a204b4ac552b9ddda5... | |
https://github.com/tensorflow/tensorflow/commit/abcced051cb1bd8fb05046ac3b602... | |
https://github.com/tensorflow/tensorflow/commit/b619c6f865715ca3b15ef1842b5b9... | |
https://github.com/tensorflow/tensorflow/commit/e8dc63704c88007ee4713076605c9... | |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-7pxj-m4jf-r6h2 |
受影响软件情况
# | 类型 | 厂商 | 产品 | 版本 | 影响面 | ||||
1 | |||||||||
---|---|---|---|---|---|---|---|---|---|
运行在以下环境 | |||||||||
应用 | tensorflow | * |
Up to (excluding) 2.4.4 |
||||||
运行在以下环境 | |||||||||
应用 | tensorflow | * |
From (including) 2.5.0 |
Up to (excluding) 2.5.2 |
|||||
运行在以下环境 | |||||||||
应用 | tensorflow | * |
From (including) 2.6.0 |
Up to (excluding) 2.6.1 |
- 攻击路径 本地
- 攻击复杂度 低
- 权限要求 低
- 影响范围 未更改
- 用户交互 无
- 可用性 高
- 保密性 高
- 完整性 高
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