中危 google tensorflow 输入验证不恰当

CVE编号

CVE-2022-36017

利用情况

暂无

补丁情况

官方补丁

披露时间

2022-09-17
漏洞描述
TensorFlow is an open source platform for machine learning. If `Requantize` is given `input_min`, `input_max`, `requested_output_min`, `requested_output_max` tensors of a nonzero rank, it results in a segfault that can be used to trigger a denial of service attack. We have patched the issue in GitHub commit 785d67a78a1d533759fcd2f5e8d6ef778de849e0. The fix will be included in TensorFlow 2.10.0. We will also cherrypick this commit on TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2, as these are also affected and still in supported range. There are no known workarounds for this issue.
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。
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 google tensorflow * Up to
(excluding)
2.7.2
运行在以下环境
应用 google tensorflow * From
(including)
2.8.0
Up to
(excluding)
2.8.1
运行在以下环境
应用 google tensorflow * From
(including)
2.9.0
Up to
(excluding)
2.9.1
运行在以下环境
应用 google tensorflow 2.10 -
阿里云评分
6.2
  • 攻击路径
    本地
  • 攻击复杂度
    复杂
  • 权限要求
    普通权限
  • 影响范围
    越权影响
  • EXP成熟度
    未验证
  • 补丁情况
    官方补丁
  • 数据保密性
    无影响
  • 数据完整性
    无影响
  • 服务器危害
    无影响
  • 全网数量
    N/A
CWE-ID 漏洞类型
CWE-20 输入验证不恰当
NVD-CWE-noinfo
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