CVE编号
CVE-2022-23560利用情况
暂无补丁情况
N/A披露时间
2022-02-05漏洞描述
Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would allow limited reads and writes outside of arrays in TFLite. This exploits missing validation in the conversion from sparse tensors to dense tensors. The fix is included in TensorFlow 2.8.0. We will also cherrypick this commit on TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3, as these are also affected and still in supported range. Users are advised to upgrade as soon as possible.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/blob/ca6f96b62ad84207fbec580404eaa7d... | |
https://github.com/tensorflow/tensorflow/commit/6364463d6f5b6254cac3d6aedf999... | |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-4hvf-hxvg-f67v |
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 (including) 2.5.2 |
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运行在以下环境 | |||||||||
应用 | tensorflow | * |
From (including) 2.6.0 |
Up to (including) 2.6.2 |
|||||
运行在以下环境 | |||||||||
应用 | tensorflow | 2.7.0 | - |
- 攻击路径 网络
- 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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