CNVD-2015-02930

Vulnerability from cnvd - Published: 2015-05-08
VLAI
Title
Quassel IRC SQL注入漏洞
Description
Quassel IRC(又名Quassel)是Quassel IRC团队开发的一款跨平台的分布式IRC聊天客户端,它采用QT应用框架开发,PostgreSQL数据库存储数据。 Quassel IRC 0.11.0及之前版本存在SQL注入漏洞。由于程序处理IRC消息时存在错误。当PostgreSQL服务器重启或连接断开时,攻击者可利用该漏洞执行任意SQL命令。
Severity
Patch Name
Quassel IRC SQL注入漏洞的补丁
Patch Description
Quassel IRC(又名Quassel)是Quassel IRC团队开发的一款跨平台的分布式IRC聊天客户端,它采用QT应用框架开发,PostgreSQL数据库存储数据。 Quassel IRC 0.11.0及之前版本存在SQL注入漏洞。由于程序处理IRC消息时存在错误。当PostgreSQL服务器重启或连接断开时,攻击者可利用该漏洞执行任意SQL命令。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

用户可联系供应商获得补丁信息: http://quassel-irc.org/node/120

Reference
http://advisories.mageia.org/MGASA-2015-0175.html
Impacted products
Name
Quassel IRC Team Quassel IRC <= 0.11.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2015-3427"
    }
  },
  "description": "Quassel IRC\uff08\u53c8\u540dQuassel\uff09\u662fQuassel IRC\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u6b3e\u8de8\u5e73\u53f0\u7684\u5206\u5e03\u5f0fIRC\u804a\u5929\u5ba2\u6237\u7aef\uff0c\u5b83\u91c7\u7528QT\u5e94\u7528\u6846\u67b6\u5f00\u53d1\uff0cPostgreSQL\u6570\u636e\u5e93\u5b58\u50a8\u6570\u636e\u3002\r\n\r\nQuassel IRC 0.11.0\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u7531\u4e8e\u7a0b\u5e8f\u5904\u7406IRC\u6d88\u606f\u65f6\u5b58\u5728\u9519\u8bef\u3002\u5f53PostgreSQL\u670d\u52a1\u5668\u91cd\u542f\u6216\u8fde\u63a5\u65ad\u5f00\u65f6\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610fSQL\u547d\u4ee4\u3002",
  "discovererName": "uassel IRC Team",
  "formalWay": "\u7528\u6237\u53ef\u8054\u7cfb\u4f9b\u5e94\u5546\u83b7\u5f97\u8865\u4e01\u4fe1\u606f\uff1a\r\nhttp://quassel-irc.org/node/120",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2015-02930",
  "openTime": "2015-05-08",
  "patchDescription": "Quassel IRC\uff08\u53c8\u540dQuassel\uff09\u662fQuassel IRC\u56e2\u961f\u5f00\u53d1\u7684\u4e00\u6b3e\u8de8\u5e73\u53f0\u7684\u5206\u5e03\u5f0fIRC\u804a\u5929\u5ba2\u6237\u7aef\uff0c\u5b83\u91c7\u7528QT\u5e94\u7528\u6846\u67b6\u5f00\u53d1\uff0cPostgreSQL\u6570\u636e\u5e93\u5b58\u50a8\u6570\u636e\u3002 \r\n\r\nQuassel IRC 0.11.0\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u7531\u4e8e\u7a0b\u5e8f\u5904\u7406IRC\u6d88\u606f\u65f6\u5b58\u5728\u9519\u8bef\u3002\u5f53PostgreSQL\u670d\u52a1\u5668\u91cd\u542f\u6216\u8fde\u63a5\u65ad\u5f00\u65f6\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610fSQL\u547d\u4ee4\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": "Quassel IRC SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Quassel IRC Team Quassel IRC \u003c= 0.11.0"
  },
  "referenceLink": "http://advisories.mageia.org/MGASA-2015-0175.html",
  "serverity": "\u9ad8",
  "submitTime": "2015-05-07",
  "title": "Quassel IRC SQL\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…

Detection rules are retrieved from Rulezet.

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…