CNVD-2017-15529

Vulnerability from cnvd - Published: 2017-07-20
VLAI
Title
Linux Kernel 'sound/core/timer.c'本地信息泄露漏洞
Description
Linux kernel是美国Linux基金会发布的操作系统Linux所使用的内核。 Linux Kernel 'sound/core/timer.c'存在本地信息泄露漏洞,导致本地用户能够读取属于其他用户的信息,即未初始化的内存内容当读取和ioctl同时发生时,可能会被公开。
Severity
低
Patch Name
Linux Kernel 'sound/core/timer.c'本地信息泄露漏洞的补丁
Patch Description
Linux kernel是美国Linux基金会发布的操作系统Linux所使用的内核。 Linux Kernel 'sound/core/timer.c'存在本地信息泄露漏洞,导致本地用户能够读取属于其他用户的信息,即未初始化的内存内容当读取和ioctl同时发生时,可能会被公开。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

厂商已发布漏洞修复程序,请及时关注更新: https://github.com/torvalds/linux/commit/d11662f4f798b50d8c8743f433842c3e40fe3378 https://github.com/torvalds/linux/commit/ba3021b2c79b2fa9114f92790a99deb27a65b728

Reference
http://www.openwall.com/lists/oss-security/2017/06/12/2
Impacted products
Name
Linux kernel <=4.11.4
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "99121"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-1000380"
    }
  },
  "description": "Linux kernel\u662f\u7f8e\u56fdLinux\u57fa\u91d1\u4f1a\u53d1\u5e03\u7684\u64cd\u4f5c\u7cfb\u7edfLinux\u6240\u4f7f\u7528\u7684\u5185\u6838\u3002\r\n\r\nLinux Kernel \u0027sound/core/timer.c\u0027\u5b58\u5728\u672c\u5730\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u5bfc\u81f4\u672c\u5730\u7528\u6237\u80fd\u591f\u8bfb\u53d6\u5c5e\u4e8e\u5176\u4ed6\u7528\u6237\u7684\u4fe1\u606f\uff0c\u5373\u672a\u521d\u59cb\u5316\u7684\u5185\u5b58\u5185\u5bb9\u5f53\u8bfb\u53d6\u548cioctl\u540c\u65f6\u53d1\u751f\u65f6\uff0c\u53ef\u80fd\u4f1a\u88ab\u516c\u5f00\u3002",
  "discovererName": "Alexander Potapenko",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://github.com/torvalds/linux/commit/d11662f4f798b50d8c8743f433842c3e40fe3378\r\nhttps://github.com/torvalds/linux/commit/ba3021b2c79b2fa9114f92790a99deb27a65b728",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-15529",
  "openTime": "2017-07-20",
  "patchDescription": "Linux kernel\u662f\u7f8e\u56fdLinux\u57fa\u91d1\u4f1a\u53d1\u5e03\u7684\u64cd\u4f5c\u7cfb\u7edfLinux\u6240\u4f7f\u7528\u7684\u5185\u6838\u3002\r\n\r\nLinux Kernel \u0027sound/core/timer.c\u0027\u5b58\u5728\u672c\u5730\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u5bfc\u81f4\u672c\u5730\u7528\u6237\u80fd\u591f\u8bfb\u53d6\u5c5e\u4e8e\u5176\u4ed6\u7528\u6237\u7684\u4fe1\u606f\uff0c\u5373\u672a\u521d\u59cb\u5316\u7684\u5185\u5b58\u5185\u5bb9\u5f53\u8bfb\u53d6\u548cioctl\u540c\u65f6\u53d1\u751f\u65f6\uff0c\u53ef\u80fd\u4f1a\u88ab\u516c\u5f00\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": "Linux Kernel \u0027sound/core/timer.c\u0027\u672c\u5730\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Linux kernel \u003c=4.11.4"
  },
  "referenceLink": "http://www.openwall.com/lists/oss-security/2017/06/12/2",
  "serverity": "\u4f4e",
  "submitTime": "2017-06-19",
  "title": "Linux Kernel \u0027sound/core/timer.c\u0027\u672c\u5730\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}



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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

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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.
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  • 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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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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