CNVD-2020-65941
Vulnerability from cnvd - Published: 2020-11-24
VLAI
Title
多款Apple产品内存初始化漏洞
Description
Apple iOS是一套为移动设备所开发的操作系统。Apple tvOS是一套智能电视操作系统。
Apple iOS 13.6之前版本、iPadOS 13.6之前版本、tvOS 13.4.8之前版本、watchOS 6.2.8之前版本和macOS Catalina 10.15.6之前版本存在安全漏洞。攻击者可借助恶意制作的应用程序利用该漏洞以内核权限执行任意代码。
Severity
高
Patch Name
多款Apple产品内存初始化漏洞的补丁
Patch Description
Apple iOS是一套为移动设备所开发的操作系统。Apple tvOS是一套智能电视操作系统。
Apple iOS 13.6之前版本、iPadOS 13.6之前版本、tvOS 13.4.8之前版本、watchOS 6.2.8之前版本和macOS Catalina 10.15.6之前版本存在安全漏洞。攻击者可借助恶意制作的应用程序利用该漏洞以内核权限执行任意代码。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
目前厂商已发布升级补丁以修复漏洞,详情请关注厂商主页: https://support.apple.com/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-9863
Impacted products
| Name | ['Apple iOS <13.6', 'Apple iPadOS <13.6', 'Apple macOS Catalina <10.15.6', 'Apple watchOS <6.2.8', 'Apple tvOS <13.4.8'] |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2020-9863",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-9863"
}
},
"description": "Apple iOS\u662f\u4e00\u5957\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002Apple tvOS\u662f\u4e00\u5957\u667a\u80fd\u7535\u89c6\u64cd\u4f5c\u7cfb\u7edf\u3002\n\nApple iOS 13.6\u4e4b\u524d\u7248\u672c\u3001iPadOS 13.6\u4e4b\u524d\u7248\u672c\u3001tvOS 13.4.8\u4e4b\u524d\u7248\u672c\u3001watchOS 6.2.8\u4e4b\u524d\u7248\u672c\u548cmacOS Catalina 10.15.6\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u6076\u610f\u5236\u4f5c\u7684\u5e94\u7528\u7a0b\u5e8f\u5229\u7528\u8be5\u6f0f\u6d1e\u4ee5\u5185\u6838\u6743\u9650\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8be6\u60c5\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\uff1a\r\nhttps://support.apple.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2020-65941",
"openTime": "2020-11-24",
"patchDescription": "Apple iOS\u662f\u4e00\u5957\u4e3a\u79fb\u52a8\u8bbe\u5907\u6240\u5f00\u53d1\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002Apple tvOS\u662f\u4e00\u5957\u667a\u80fd\u7535\u89c6\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nApple iOS 13.6\u4e4b\u524d\u7248\u672c\u3001iPadOS 13.6\u4e4b\u524d\u7248\u672c\u3001tvOS 13.4.8\u4e4b\u524d\u7248\u672c\u3001watchOS 6.2.8\u4e4b\u524d\u7248\u672c\u548cmacOS Catalina 10.15.6\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u6076\u610f\u5236\u4f5c\u7684\u5e94\u7528\u7a0b\u5e8f\u5229\u7528\u8be5\u6f0f\u6d1e\u4ee5\u5185\u6838\u6743\u9650\u6267\u884c\u4efb\u610f\u4ee3\u7801\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": "\u591a\u6b3eApple\u4ea7\u54c1\u5185\u5b58\u521d\u59cb\u5316\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": [
"Apple iOS \u003c13.6",
"Apple iPadOS \u003c13.6",
"Apple macOS Catalina \u003c10.15.6",
"Apple watchOS \u003c6.2.8",
"Apple tvOS \u003c13.4.8"
]
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-9863",
"serverity": "\u9ad8",
"submitTime": "2020-11-02",
"title": "\u591a\u6b3eApple\u4ea7\u54c1\u5185\u5b58\u521d\u59cb\u5316\u6f0f\u6d1e"
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.