CNVD-2015-05373

Vulnerability from cnvd - Published: 2015-08-20
VLAI
Title
Apple OS X蓝牙内核内存布局泄露漏洞
Description
Apple OS X是一款苹果分发的基于BSD的操作系统。 Apple OS X蓝牙模块存在安全漏洞,允许攻击者利用该漏洞获取内核内存信息。
Severity
中
Patch Name
Apple OS X蓝牙内核内存布局泄露漏洞的补丁
Patch Description
Apple OS X是一款苹果分发的基于BSD的操作系统。Apple OS X蓝牙模块存在安全漏洞,允许攻击者利用该漏洞获取内核内存信息。目前,厂商已经发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

用户可参考如下厂商提供的安全公告获取补丁以修复该漏洞: https://support.apple.com/zh-cn/HT205031

Reference
https://support.apple.com/zh-cn/HT205031
Impacted products
Name
Apple Mac OS X Yosemite v10.10-v10.10.4
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "76340"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-3780"
    }
  },
  "description": "Apple OS X\u662f\u4e00\u6b3e\u82f9\u679c\u5206\u53d1\u7684\u57fa\u4e8eBSD\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002\r\n\r\nApple OS X\u84dd\u7259\u6a21\u5757\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u5185\u6838\u5185\u5b58\u4fe1\u606f\u3002",
  "discovererName": "Roberto Paleari and Aristide Fattori of Emaze Networks",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u516c\u544a\u83b7\u53d6\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://support.apple.com/zh-cn/HT205031",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-05373",
  "openTime": "2015-08-20",
  "patchDescription": "Apple OS X\u662f\u4e00\u6b3e\u82f9\u679c\u5206\u53d1\u7684\u57fa\u4e8eBSD\u7684\u64cd\u4f5c\u7cfb\u7edf\u3002Apple OS X\u84dd\u7259\u6a21\u5757\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u5141\u8bb8\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u5185\u6838\u5185\u5b58\u4fe1\u606f\u3002\u76ee\u524d\uff0c\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Apple OS X\u84dd\u7259\u5185\u6838\u5185\u5b58\u5e03\u5c40\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apple Mac OS X Yosemite v10.10-v10.10.4"
  },
  "referenceLink": "https://support.apple.com/zh-cn/HT205031",
  "serverity": "\u4e2d",
  "submitTime": "2015-08-19",
  "title": "Apple OS X\u84dd\u7259\u5185\u6838\u5185\u5b58\u5e03\u5c40\u6cc4\u9732\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

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.

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

JSON
Events included in the timeline

Loading timeline…


    Loading…

    Loading…

    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.