CNVD-2016-00246
Vulnerability from cnvd - Published: 2016-01-18
VLAI
Title
McAfee Application Control swin.sys内核驱动程序拒绝服务漏洞
Description
McAfee Application Control是一套程序管控软件。该软件通过使用动态的信任模型,保护企业的服务器和终端免受未经授权应用程序和恶意软件的威胁。
基于32-bit Windows平台的McAfee Application Control的swin.sys内核驱动程序中存在安全漏洞,允许本地攻击者可利用768系统调用使系统崩溃。
Severity
中
Patch Name
McAfee Application Control swin.sys内核驱动程序拒绝服务漏洞的补丁
Patch Description
McAfee Application Control是一套程序管控软件。该软件通过使用动态的信任模型,保护企业的服务器和终端免受未经授权应用程序和恶意软件的威胁。
基于32-bit Windows平台的McAfee Application Control的swin.sys内核驱动程序中存在安全漏洞,允许本地攻击者可利用768系统调用使系统崩溃。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
目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://kc.mcafee.com/corporate/index?page=content&id=SB10145
Reference
http://www.zerodayinitiative.com/advisories/ZDI-16-007/
Impacted products
| Name | ['Mcafee Application Control 6.1.0(<build 706)', 'Mcafee Application Control 6.1.1(<build 404)', 'Mcafee Application Control 6.1.2(<build 449)', 'Mcafee Application Control 6.1.3(<build 441)', 'Mcafee Application Control 6.2.0(<build 505)'] |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2016-1715"
}
},
"description": "McAfee Application Control\u662f\u4e00\u5957\u7a0b\u5e8f\u7ba1\u63a7\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u901a\u8fc7\u4f7f\u7528\u52a8\u6001\u7684\u4fe1\u4efb\u6a21\u578b\uff0c\u4fdd\u62a4\u4f01\u4e1a\u7684\u670d\u52a1\u5668\u548c\u7ec8\u7aef\u514d\u53d7\u672a\u7ecf\u6388\u6743\u5e94\u7528\u7a0b\u5e8f\u548c\u6076\u610f\u8f6f\u4ef6\u7684\u5a01\u80c1\u3002\r\n\r\n\u57fa\u4e8e32-bit Windows\u5e73\u53f0\u7684McAfee Application Control\u7684swin.sys\u5185\u6838\u9a71\u52a8\u7a0b\u5e8f\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528768\u7cfb\u7edf\u8c03\u7528\u4f7f\u7cfb\u7edf\u5d29\u6e83\u3002",
"discovererName": "Anonymous",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://kc.mcafee.com/corporate/index?page=content\u0026id=SB10145",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2016-00246",
"openTime": "2016-01-18",
"patchDescription": "McAfee Application Control\u662f\u4e00\u5957\u7a0b\u5e8f\u7ba1\u63a7\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u901a\u8fc7\u4f7f\u7528\u52a8\u6001\u7684\u4fe1\u4efb\u6a21\u578b\uff0c\u4fdd\u62a4\u4f01\u4e1a\u7684\u670d\u52a1\u5668\u548c\u7ec8\u7aef\u514d\u53d7\u672a\u7ecf\u6388\u6743\u5e94\u7528\u7a0b\u5e8f\u548c\u6076\u610f\u8f6f\u4ef6\u7684\u5a01\u80c1\u3002\r\n\r\n\u57fa\u4e8e32-bit Windows\u5e73\u53f0\u7684McAfee Application Control\u7684swin.sys\u5185\u6838\u9a71\u52a8\u7a0b\u5e8f\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528768\u7cfb\u7edf\u8c03\u7528\u4f7f\u7cfb\u7edf\u5d29\u6e83\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": "McAfee Application Control swin.sys\u5185\u6838\u9a71\u52a8\u7a0b\u5e8f\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": [
"Mcafee Application Control 6.1.0(\u003cbuild 706)",
"Mcafee Application Control 6.1.1(\u003cbuild 404)",
"Mcafee Application Control 6.1.2(\u003cbuild 449)",
"Mcafee Application Control 6.1.3(\u003cbuild 441)",
"Mcafee Application Control 6.2.0(\u003cbuild 505)"
]
},
"referenceLink": "http://www.zerodayinitiative.com/advisories/ZDI-16-007/",
"serverity": "\u4e2d",
"submitTime": "2016-01-15",
"title": "McAfee Application Control swin.sys\u5185\u6838\u9a71\u52a8\u7a0b\u5e8f\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
Loading timeline…
Loading…
Loading…
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.
Loading…
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.