CNVD-2018-07296
Vulnerability from cnvd - Published: 2018-04-10
VLAI
Title
Microsoft Malware Protection Engine远程代码执行漏洞（CNVD-2018-07296）
Description
Microsoft Malware Protection Engine是恶意程序保护引擎。
Microsoft Malware Protection Engine存在远程代码执行漏洞，攻击者可利用漏洞在受影响的系统环境中执行任意代码。
Severity
高
Patch Name
Microsoft Malware Protection Engine远程代码执行漏洞（CNVD-2018-07296）的补丁
Patch Description
Microsoft Malware Protection Engine是恶意程序保护引擎。
Microsoft Malware Protection Engine存在远程代码执行漏洞，攻击者可利用漏洞在受影响的系统环境中执行任意代码。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
厂商已发布了漏洞修复程序，请及时关注更新： https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2018-0986
Reference
https://securitytracker.com/id/1040631
https://www.securityfocus.com/bid/103593
Impacted products
| Name | ['Microsoft Forefront Endpoint Protection 2010', 'Microsoft Security Essentials', 'Microsoft Windows Defender', 'Microsoft Exchange Server 2016', 'Microsoft Windows Intune Endpoint Protection 0', 'Microsoft Exchange Server 2013'] |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2018-0986"
}
},
"description": "Microsoft Malware Protection Engine\u662f\u6076\u610f\u7a0b\u5e8f\u4fdd\u62a4\u5f15\u64ce\u3002\r\n\r\nMicrosoft Malware Protection Engine\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5728\u53d7\u5f71\u54cd\u7684\u7cfb\u7edf\u73af\u5883\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002",
"discovererName": "Thomas Dullien of Google Project Zero",
"formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2018-0986",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2018-07296",
"openTime": "2018-04-10",
"patchDescription": "Microsoft Malware Protection Engine\u662f\u6076\u610f\u7a0b\u5e8f\u4fdd\u62a4\u5f15\u64ce\u3002\r\n\r\nMicrosoft Malware Protection Engine\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u5728\u53d7\u5f71\u54cd\u7684\u7cfb\u7edf\u73af\u5883\u4e2d\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": "Microsoft Malware Protection Engine\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff08CNVD-2018-07296\uff09\u7684\u8865\u4e01",
"products": {
"product": [
"Microsoft Forefront Endpoint Protection 2010",
"Microsoft Security Essentials",
"Microsoft Windows Defender",
"Microsoft Exchange Server 2016",
"Microsoft Windows Intune Endpoint Protection 0",
"Microsoft Exchange Server 2013"
]
},
"referenceLink": "https://securitytracker.com/id/1040631\r\nhttps://www.securityfocus.com/bid/103593",
"serverity": "\u9ad8",
"submitTime": "2018-04-08",
"title": "Microsoft Malware Protection Engine\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff08CNVD-2018-07296\uff09"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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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.
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