CNVD-2017-37718

Vulnerability from cnvd - Published: 2017-12-21
VLAI
Title
Serendipity blog组件SQL注入漏洞
Description
Serendipity是一套基于PHP的博客系统。该系统支持创建在线日记、博客、网页等。blog component是其中的一个博客功能组件。 Serendipity 2.0.3版本中的blog组件存在SQL注入漏洞。远程攻击者可利用该漏洞获取信息。
Severity
中
Patch Name
Serendipity blog组件SQL注入漏洞的补丁
Patch Description
Serendipity是一套基于PHP的博客系统。该系统支持创建在线日记、博客、网页等。blog component是其中的一个博客功能组件。 Serendipity 2.0.3版本中的blog组件存在SQL注入漏洞。远程攻击者可利用该漏洞获取信息。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

目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://blog.s9y.org/archives/269-Serendipity-2.0.4-and-2.1-beta2-released.html

Reference
https://blog.s9y.org/archives/269-Serendipity-2.0.4-and-2.1-beta2-released.html
Impacted products
Name
S9Y Serendipity 2.0.3
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-1000129",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-1000129"
    }
  },
  "description": "Serendipity\u662f\u4e00\u5957\u57fa\u4e8ePHP\u7684\u535a\u5ba2\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u652f\u6301\u521b\u5efa\u5728\u7ebf\u65e5\u8bb0\u3001\u535a\u5ba2\u3001\u7f51\u9875\u7b49\u3002blog component\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u535a\u5ba2\u529f\u80fd\u7ec4\u4ef6\u3002\r\n\r\nSerendipity 2.0.3\u7248\u672c\u4e2d\u7684blog\u7ec4\u4ef6\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u4fe1\u606f\u3002",
  "discovererName": "Serendipity",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://blog.s9y.org/archives/269-Serendipity-2.0.4-and-2.1-beta2-released.html",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-37718",
  "openTime": "2017-12-21",
  "patchDescription": "Serendipity\u662f\u4e00\u5957\u57fa\u4e8ePHP\u7684\u535a\u5ba2\u7cfb\u7edf\u3002\u8be5\u7cfb\u7edf\u652f\u6301\u521b\u5efa\u5728\u7ebf\u65e5\u8bb0\u3001\u535a\u5ba2\u3001\u7f51\u9875\u7b49\u3002blog component\u662f\u5176\u4e2d\u7684\u4e00\u4e2a\u535a\u5ba2\u529f\u80fd\u7ec4\u4ef6\u3002\r\n\r\nSerendipity 2.0.3\u7248\u672c\u4e2d\u7684blog\u7ec4\u4ef6\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u4fe1\u606f\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": "Serendipity blog\u7ec4\u4ef6SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "S9Y Serendipity 2.0.3"
  },
  "referenceLink": "https://blog.s9y.org/archives/269-Serendipity-2.0.4-and-2.1-beta2-released.html",
  "serverity": "\u4e2d",
  "submitTime": "2017-11-24",
  "title": "Serendipity blog\u7ec4\u4ef6SQL\u6ce8\u5165\u6f0f\u6d1e"
}



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…