CVE编号
CVE-2022-23559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 cause an integer overflow in embedding lookup operations. Both `embedding_size` and `lookup_size` are products of values provided by the user. Hence, a malicious user could trigger overflows in the multiplication. In certain scenarios, this can then result in heap OOB read/write. Users are advised to upgrade to a patched version.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/1de49725a5fc4e48f1a3b902ec359... | |
https://github.com/tensorflow/tensorflow/commit/a4e401da71458d253b05e41f28637... | |
https://github.com/tensorflow/tensorflow/commit/f19be71717c497723ba0cea0379e8... | |
https://github.com/tensorflow/tensorflow/security/advisories/GHSA-98p5-x8x4-c9m5 |
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 |
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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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