CNVD-2016-12036

Vulnerability from cnvd - Published: 2016-12-08
VLAI
Title
Apache HTTP Server拒绝服务漏洞(CNVD-2016-12036)
Description
Apache HTTP Server是美国阿帕奇(Apache)软件基金会的一款开源网页服务器。mod_http2是其中的一个关于HTTP/2协议的模块。 Apache HTTP Server存在拒绝服务漏洞。远程攻击者利用漏洞可使内存耗尽,导致拒绝服务条件。
Severity
Patch Name
Apache HTTP Server拒绝服务漏洞的补丁
Patch Description
Apache HTTP Server是美国阿帕奇(Apache)软件基金会的一款开源网页服务器。mod_http2是其中的一个关于HTTP/2协议的模块。 Apache HTTP Server存在拒绝服务漏洞。远程攻击者利用漏洞可使内存耗尽,导致拒绝服务条件。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

厂商已提供漏洞修补方案,请关注厂商主页及时更新: http://httpd.apache.org/

Reference
https://httpd.apache.org/security/vulnerabilities_24.html
Impacted products
Name
Apache HTTP Server >=2.4.17,<=2.4.23
Show details on source website

{
  "bids": {
    "bid": {
      "bidNumber": "94650"
    }
  },
  "cves": {
    "cve": {
      "cveNumber": "CVE-2016-8740"
    }
  },
  "description": "Apache HTTP Server\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u5f00\u6e90\u7f51\u9875\u670d\u52a1\u5668\u3002mod_http2\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u5173\u4e8eHTTP/2\u534f\u8bae\u7684\u6a21\u5757\u3002\r\n\r\nApache HTTP Server\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u53ef\u4f7f\u5185\u5b58\u8017\u5c3d\uff0c\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u6761\u4ef6\u3002",
  "discovererName": "Naveen Tiwari.",
  "formalWay": "\u5382\u5546\u5df2\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u8865\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u53ca\u65f6\u66f4\u65b0\uff1a\r\nhttp://httpd.apache.org/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2016-12036",
  "openTime": "2016-12-08",
  "patchDescription": "Apache HTTP Server\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u8f6f\u4ef6\u57fa\u91d1\u4f1a\u7684\u4e00\u6b3e\u5f00\u6e90\u7f51\u9875\u670d\u52a1\u5668\u3002mod_http2\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u5173\u4e8eHTTP/2\u534f\u8bae\u7684\u6a21\u5757\u3002\r\n\r\nApache HTTP Server\u5b58\u5728\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u53ef\u4f7f\u5185\u5b58\u8017\u5c3d\uff0c\u5bfc\u81f4\u62d2\u7edd\u670d\u52a1\u6761\u4ef6\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": "Apache HTTP Server\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache HTTP Server \u003e=2.4.17\uff0c\u003c=2.4.23"
  },
  "referenceLink": "https://httpd.apache.org/security/vulnerabilities_24.html",
  "serverity": "\u9ad8",
  "submitTime": "2016-12-06",
  "title": "Apache HTTP Server\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e\uff08CNVD-2016-12036\uff09"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

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.

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.


Loading…