Vulnerability-Lookup

CNVD-2016-03101

Vulnerability from cnvd - Published: 2016-05-13

Title

Microsoft Windows Win32k信息泄漏漏洞

Description

Microsoft Windows是美国微软（Microsoft）公司发布的一系列操作系统。 Microsoft Windows内核中存在安全功能绕过漏洞。本地攻击者可利用该漏洞检索内核对象的内存地址，导致内核地址空间布局随机化(KASLR)绕过。

Severity

低

Patch Name

Microsoft Windows Win32k信息泄漏漏洞的补丁

Patch Description

Microsoft Windows是美国微软（Microsoft）公司发布的一系列操作系统。 Microsoft Windows内核中存在安全功能绕过漏洞。本地攻击者可利用该漏洞检索内核对象的内存地址，导致内核地址空间布局随机化(KASLR)绕过。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此安全问题，补丁获取链接： https://technet.microsoft.com/en-us/library/security/MS16-062

Reference

http://zerodayinitiative.com/advisories/ZDI-16-281/ https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2016-0175

Impacted products

Name
['Microsoft Windows Server 2008 R2 SP1', 'Microsoft Windows Server 2008 SP2', 'Microsoft Windows 7 SP1', 'Microsoft Windows Vista sp2', 'Microsoft Windows 8.1', 'Microsoft Windows Server 2012 R2', 'Microsoft Windows RT 8.1', 'Microsoft Windows server 2012 Gold', 'Microsoft Windows 10 Gold', 'Microsoft Windows 10 1511']

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2016-0175"
    }
  },
  "description": "Microsoft Windows\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u53d1\u5e03\u7684\u4e00\u7cfb\u5217\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nMicrosoft Windows\u5185\u6838\u4e2d\u5b58\u5728\u5b89\u5168\u529f\u80fd\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u68c0\u7d22\u5185\u6838\u5bf9\u8c61\u7684\u5185\u5b58\u5730\u5740\uff0c\u5bfc\u81f4\u5185\u6838\u5730\u5740\u7a7a\u95f4\u5e03\u5c40\u968f\u673a\u5316(KASLR)\u7ed5\u8fc7\u3002",
  "discovererName": "Tencent PC Manager",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a \r\nhttps://technet.microsoft.com/en-us/library/security/MS16-062",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-03101",
  "openTime": "2016-05-13",
  "patchDescription": "Microsoft Windows\u662f\u7f8e\u56fd\u5fae\u8f6f\uff08Microsoft\uff09\u516c\u53f8\u53d1\u5e03\u7684\u4e00\u7cfb\u5217\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nMicrosoft Windows\u5185\u6838\u4e2d\u5b58\u5728\u5b89\u5168\u529f\u80fd\u7ed5\u8fc7\u6f0f\u6d1e\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u68c0\u7d22\u5185\u6838\u5bf9\u8c61\u7684\u5185\u5b58\u5730\u5740\uff0c\u5bfc\u81f4\u5185\u6838\u5730\u5740\u7a7a\u95f4\u5e03\u5c40\u968f\u673a\u5316(KASLR)\u7ed5\u8fc7\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 Windows Win32k\u4fe1\u606f\u6cc4\u6f0f\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Microsoft Windows Server 2008 R2 SP1",
      "Microsoft Windows Server 2008 SP2",
      "Microsoft Windows 7 SP1",
      "Microsoft Windows Vista sp2",
      "Microsoft Windows 8.1",
      "Microsoft Windows Server 2012 R2",
      "Microsoft Windows RT 8.1",
      "Microsoft Windows server 2012 Gold",
      "Microsoft Windows 10 Gold",
      "Microsoft Windows 10  1511"
    ]
  },
  "referenceLink": "http://zerodayinitiative.com/advisories/ZDI-16-281/\r\nhttps://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2016-0175",
  "serverity": "\u4f4e",
  "submitTime": "2016-05-11",
  "title": "Microsoft Windows Win32k\u4fe1\u606f\u6cc4\u6f0f\u6f0f\u6d1e"
}

CVE-2016-0175 (GCVE-0-2016-0175)

Vulnerability from cvelistv5 – Published: 2016-05-11 01:00 – Updated: 2024-08-05 22:08

Summary

The kernel-mode drivers in Microsoft Windows Vista SP2, Windows Server 2008 SP2 and R2 SP1, Windows 7 SP1, Windows 8.1, Windows Server 2012 Gold and R2, Windows RT 8.1, and Windows 10 Gold and 1511 allow local users to obtain sensitive information about kernel-object addresses, and consequently bypass the KASLR protection mechanism, via a crafted application, aka "Win32k Information Disclosure Vulnerability."

Severity

No CVSS data available.

CWE

Assigner

microsoft mitre root

References

4 references

URL	Tags
http://www.securitytracker.com/id/1035841	vdb-entryx_refsource_SECTRACK
http://www.securityfocus.com/bid/90027	vdb-entryx_refsource_BID
https://docs.microsoft.com/en-us/security-updates…	vendor-advisoryx_refsource_MS
http://www.zerodayinitiative.com/advisories/ZDI-16-281	x_refsource_MISC

Date Public

2016-05-10 00:00

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.

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.