Vulnerability-Lookup

CNVD-2016-11179

Vulnerability from cnvd - Published: 2016-11-17

Title

Google Android Skia内存破坏漏洞

Description

Google Skia是美国谷歌（Google）公司的一个开源且基于C++的图形库，它可应用于Mozilla Firefox、Google Chrome等浏览器中，也可用在Android开放手机平台中。 Android 7.0版本中的Skia存在内存破坏漏洞。攻击者可借助特制的文件利用该漏洞在Gallery进程上下文中执行任意代码，也可能造成拒绝服务（内存破坏）。

Severity

高

Patch Name

Google Android Skia内存破坏漏洞的补丁

Patch Description

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： http://source.android.com/security/bulletin/2016-11-01.html

Reference

http://www.securityfocus.com/bid/94162

Impacted products

Name
Google Android 7.0

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "94162"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-6701"
    }
  },
  "description": "Google Skia\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5f00\u6e90\u4e14\u57fa\u4e8eC++\u7684\u56fe\u5f62\u5e93\uff0c\u5b83\u53ef\u5e94\u7528\u4e8eMozilla Firefox\u3001Google Chrome\u7b49\u6d4f\u89c8\u5668\u4e2d\uff0c\u4e5f\u53ef\u7528\u5728Android\u5f00\u653e\u624b\u673a\u5e73\u53f0\u4e2d\u3002\r\n\r\nAndroid 7.0\u7248\u672c\u4e2d\u7684Skia\u5b58\u5728\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5728Gallery\u8fdb\u7a0b\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u4e5f\u53ef\u80fd\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u5185\u5b58\u7834\u574f\uff09\u3002",
  "discovererName": "Google",
  "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\nhttp://source.android.com/security/bulletin/2016-11-01.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-11179",
  "openTime": "2016-11-17",
  "patchDescription": "Google Skia\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u5f00\u6e90\u4e14\u57fa\u4e8eC++\u7684\u56fe\u5f62\u5e93\uff0c\u5b83\u53ef\u5e94\u7528\u4e8eMozilla Firefox\u3001Google Chrome\u7b49\u6d4f\u89c8\u5668\u4e2d\uff0c\u4e5f\u53ef\u7528\u5728Android\u5f00\u653e\u624b\u673a\u5e73\u53f0\u4e2d\u3002\r\n\r\nAndroid 7.0\u7248\u672c\u4e2d\u7684Skia\u5b58\u5728\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684\u6587\u4ef6\u5229\u7528\u8be5\u6f0f\u6d1e\u5728Gallery\u8fdb\u7a0b\u4e0a\u4e0b\u6587\u4e2d\u6267\u884c\u4efb\u610f\u4ee3\u7801\uff0c\u4e5f\u53ef\u80fd\u9020\u6210\u62d2\u7edd\u670d\u52a1\uff08\u5185\u5b58\u7834\u574f\uff09\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": "Google Android Skia\u5185\u5b58\u7834\u574f\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Google Android 7.0"
  },
  "referenceLink": "http://www.securityfocus.com/bid/94162",
  "serverity": "\u9ad8",
  "submitTime": "2016-11-10",
  "title": "Google Android Skia\u5185\u5b58\u7834\u574f\u6f0f\u6d1e"
}

CVE-2016-6701 (GCVE-0-2016-6701)

Vulnerability from cvelistv5 – Published: 2016-11-25 16:00 – Updated: 2024-08-06 01:36

Summary

A remote code execution vulnerability in libskia in Android 7.0 before 2016-11-01 could enable an attacker using a specially crafted file to cause memory corruption during media file and data processing. This issue is rated as High due to the possibility of remote code execution within the context of the gallery process. Android ID: A-30190637.

Severity

No CVSS data available.

CWE

Remote code execution

Assigner

google_android Google root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/94162	vdb-entryx_refsource_BID
https://source.android.com/security/bulletin/2016…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Google Inc.	Android	Affected: Android-7.0

Date Public

2016-11-01 00:00

Show details on NVD website

JSON

To clipboard

{
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          "dateUpdated": "2024-08-06T01:36:29.575Z",
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            "url": "https://source.android.com/security/bulletin/2016-11-01.html"
          }
        ],
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    ],
    "cna": {
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          "vendor": "Google Inc.",
          "versions": [
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              "version": "Android-7.0"
            }
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      ],
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        }
      ],
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      "providerMetadata": {
        "dateUpdated": "2016-11-25T19:57:01.000Z",
        "orgId": "baff130e-b8d5-4e15-b3d3-c3cf5d5545c6",
        "shortName": "google_android"
      },
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        },
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          ],
          "url": "https://source.android.com/security/bulletin/2016-11-01.html"
        }
      ],
      "x_legacyV4Record": {
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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.