CNVD-2017-29249
Vulnerability from cnvd - Published: 2017-10-10
VLAI
Title
Synology Assistant存在多个不可信搜索路径漏洞
Description
Synology Assistant是一款Synology DiskStation局域网安装和管理辅助工具。
Synology Assistant的安装程序存在多个不可信搜索路径漏洞,本地攻击者可通过当前工作目录中的特洛伊木马(1)shfolder.dll(2)ntmarta.dll(3)secur32.dll或(4)dwmapi.dll文件执行任意代码或进行DLL劫持攻击。
Severity
中
Patch Name
Synology Assistant存在多个不可信搜索路径漏洞的补丁
Patch Description
Synology Assistant是一款Synology DiskStation局域网安装和管理辅助工具。
Synology Assistant的安装程序存在多个不可信搜索路径漏洞,本地攻击者可通过当前工作目录中的特洛伊木马(1)shfolder.dll(2)ntmarta.dll(3)secur32.dll或(4)dwmapi.dll文件执行任意代码或进行DLL劫持攻击。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description
厂商已发布漏洞修复程序,请及时关注更新: https://www.synology.com/en-global/support/security/Synology_SA_17_44_Synology_Assistant
Reference
https://www.synology.com/en-global/support/security/Synology_SA_17_44_Synology_Assistant
Impacted products
| Name | Synology Assistant <6.1-15163 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2017-11160"
}
},
"description": "Synology Assistant\u662f\u4e00\u6b3eSynology DiskStation\u5c40\u57df\u7f51\u5b89\u88c5\u548c\u7ba1\u7406\u8f85\u52a9\u5de5\u5177\u3002\r\n\r\nSynology Assistant\u7684\u5b89\u88c5\u7a0b\u5e8f\u5b58\u5728\u591a\u4e2a\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\uff0c\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5f53\u524d\u5de5\u4f5c\u76ee\u5f55\u4e2d\u7684\u7279\u6d1b\u4f0a\u6728\u9a6c\uff081\uff09shfolder.dll\uff082\uff09ntmarta.dll\uff083\uff09secur32.dll\u6216\uff084\uff09dwmapi.dll\u6587\u4ef6\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6216\u8fdb\u884cDLL\u52ab\u6301\u653b\u51fb\u3002",
"discovererName": "Synology",
"formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www.synology.com/en-global/support/security/Synology_SA_17_44_Synology_Assistant",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2017-29249",
"openTime": "2017-10-10",
"patchDescription": "Synology Assistant\u662f\u4e00\u6b3eSynology DiskStation\u5c40\u57df\u7f51\u5b89\u88c5\u548c\u7ba1\u7406\u8f85\u52a9\u5de5\u5177\u3002\r\n\r\nSynology Assistant\u7684\u5b89\u88c5\u7a0b\u5e8f\u5b58\u5728\u591a\u4e2a\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\uff0c\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5f53\u524d\u5de5\u4f5c\u76ee\u5f55\u4e2d\u7684\u7279\u6d1b\u4f0a\u6728\u9a6c\uff081\uff09shfolder.dll\uff082\uff09ntmarta.dll\uff083\uff09secur32.dll\u6216\uff084\uff09dwmapi.dll\u6587\u4ef6\u6267\u884c\u4efb\u610f\u4ee3\u7801\u6216\u8fdb\u884cDLL\u52ab\u6301\u653b\u51fb\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
"patchName": "Synology Assistant\u5b58\u5728\u591a\u4e2a\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": "Synology Assistant \u003c6.1-15163"
},
"referenceLink": "https://www.synology.com/en-global/support/security/Synology_SA_17_44_Synology_Assistant",
"serverity": "\u4e2d",
"submitTime": "2017-08-19",
"title": "Synology Assistant\u5b58\u5728\u591a\u4e2a\u4e0d\u53ef\u4fe1\u641c\u7d22\u8def\u5f84\u6f0f\u6d1e"
}
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Sightings
| Author | Source | Type | Date | Other |
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Nomenclature
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.