中危 google tensorflow 未加控制的资源消耗(资源穷尽)

CVE编号

CVE-2022-23591

利用情况

暂无

补丁情况

官方补丁

披露时间

2022-02-05
漏洞描述
Tensorflow is an Open Source Machine Learning Framework. The `GraphDef` format in TensorFlow does not allow self recursive functions. The runtime assumes that this invariant is satisfied. However, a `GraphDef` containing a fragment such as the following can be consumed when loading a `SavedModel`. This would result in a stack overflow during execution as resolving each `NodeDef` means resolving the function itself and its nodes. The fix will be 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.
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
(including)
2.5.2
运行在以下环境
应用 google tensorflow * From
(including)
2.6.0
Up to
(including)
2.6.2
运行在以下环境
应用 google tensorflow 2.7.0 -
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-400 未加控制的资源消耗(资源穷尽)
CWE-674 未经控制的递归
阿里云安全产品覆盖情况