CNVD-2017-01241

Vulnerability from cnvd - Published: 2017-02-13
VLAI
Title
Serendipity include/functions_entries.inc.php SQL注入漏洞
Description
Serendipity是一款WEB应用程序。 Serendipity include/functions_entries.inc.php存在SQL注入漏洞,允许远程攻击者利用漏洞提交特制的SQL查询,操作或获取数据库数据。
Severity
中
Patch Name
Serendipity include/functions_entries.inc.php SQL注入漏洞的补丁
Patch Description
Serendipity是一款WEB应用程序。 Serendipity include/functions_entries.inc.php存在SQL注入漏洞,允许远程攻击者利用漏洞提交特制的SQL查询,操作或获取数据库数据。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

用户可参考如下厂商提供的安全补丁以修复该漏洞: https://github.com/s9y/Serendipity/releases/tag/2.1-rc1

Reference
https://github.com/s9y/Serendipity/releases/tag/2.1-rc1
Impacted products
Name
S9Y Serendipity 2.0.5
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-5609"
    }
  },
  "description": "Serendipity\u662f\u4e00\u6b3eWEB\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nSerendipity include/functions_entries.inc.php\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u63d0\u4ea4\u7279\u5236\u7684SQL\u67e5\u8be2\uff0c\u64cd\u4f5c\u6216\u83b7\u53d6\u6570\u636e\u5e93\u6570\u636e\u3002",
  "discovererName": "unknown",
  "formalWay": "\u7528\u6237\u53ef\u53c2\u8003\u5982\u4e0b\u5382\u5546\u63d0\u4f9b\u7684\u5b89\u5168\u8865\u4e01\u4ee5\u4fee\u590d\u8be5\u6f0f\u6d1e\uff1a\r\nhttps://github.com/s9y/Serendipity/releases/tag/2.1-rc1",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-01241",
  "openTime": "2017-02-13",
  "patchDescription": "Serendipity\u662f\u4e00\u6b3eWEB\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nSerendipity include/functions_entries.inc.php\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u5229\u7528\u6f0f\u6d1e\u63d0\u4ea4\u7279\u5236\u7684SQL\u67e5\u8be2\uff0c\u64cd\u4f5c\u6216\u83b7\u53d6\u6570\u636e\u5e93\u6570\u636e\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 include/functions_entries.inc.php SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "S9Y Serendipity 2.0.5"
  },
  "referenceLink": "https://github.com/s9y/Serendipity/releases/tag/2.1-rc1",
  "serverity": "\u4e2d",
  "submitTime": "2017-02-06",
  "title": "Serendipity include/functions_entries.inc.php SQL\u6ce8\u5165\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.