中危 eclipse deeplearning4j 使用不充分的随机数
CVE编号
CVE-2022-36022利用情况
暂无补丁情况
官方补丁披露时间
2022-11-11漏洞描述
Deeplearning4J is a suite of tools for deploying and training deep learning models using the JVM. Packages org.deeplearning4j:dl4j-examples and org.deeplearning4j:platform-tests through version 1.0.0-M2.1 may use some unclaimed S3 buckets in tests in examples. This is likely affect people who use some older NLP examples that reference an old S3 bucket. The problem has been patched. Users should upgrade to snapshots as Deeplearning4J plan to publish a release with the fix at a later date. As a workaround, download a word2vec google news vector from a new source using git lfs from here.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 |
|
|---|---|
| https://github.com/eclipse/deeplearning4j/security/advisories/GHSA-rc39-g977-687w | |
| https://github.com/mmihaltz/word2vec-GoogleNews-vectors |
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 | eclipse | deeplearning4j | * | Up to (excluding) 1.0.0 | |||||
| 运行在以下环境 | |||||||||
| 应用 | eclipse | deeplearning4j | 1.0.0 | - | |||||
- 攻击路径 本地
- 攻击复杂度 困难
- 权限要求 管控权限
- 影响范围 有限影响
- 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-330 | 使用不充分的随机数 |
Exp相关链接
版权声明
本站原创文章转载请注明文章出处及链接，谢谢合作！
评论