CNVD-2022-42853

Vulnerability from cnvd - Published: 2022-06-14
VLAI
Title
禅道存在SQL注入漏洞
Description
禅道是一款国产的开源项目管理软件。 禅道存在SQL注入漏洞。攻击者可利用漏洞获取数据库敏感信息。
Severity
高
Patch Name
禅道存在SQL注入漏洞的补丁
Patch Description
禅道是一款国产的开源项目管理软件。 禅道存在SQL注入漏洞。攻击者可利用漏洞获取数据库敏感信息。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

厂商已提供漏洞修补方案，请关注厂商主页及时更新： https://www.zentao.net/

Impacted products
Name
['青岛易软天创网络科技有限公司 禅道企业版 6.5', '青岛易软天创网络科技有限公司 禅道旗舰版 3.0', '青岛易软天创网络科技有限公司 禅道开源版 16.5', '青岛易软天创网络科技有限公司 禅道开源版 16.5.beta1']
Show details on source website
To clipboard 

{
  "description": "\u7985\u9053\u662f\u4e00\u6b3e\u56fd\u4ea7\u7684\u5f00\u6e90\u9879\u76ee\u7ba1\u7406\u8f6f\u4ef6\u3002\n\n\u7985\u9053\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\u6570\u636e\u5e93\u654f\u611f\u4fe1\u606f\u3002",
  "discovererName": "automne",
  "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\nhttps://www.zentao.net/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-42853",
  "openTime": "2022-06-14",
  "patchDescription": "\u7985\u9053\u662f\u4e00\u6b3e\u56fd\u4ea7\u7684\u5f00\u6e90\u9879\u76ee\u7ba1\u7406\u8f6f\u4ef6\u3002\r\n\r\n\u7985\u9053\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u83b7\u53d6\u6570\u636e\u5e93\u654f\u611f\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": "\u7985\u9053\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "\u9752\u5c9b\u6613\u8f6f\u5929\u521b\u7f51\u7edc\u79d1\u6280\u6709\u9650\u516c\u53f8 \u7985\u9053\u4f01\u4e1a\u7248 6.5",
      "\u9752\u5c9b\u6613\u8f6f\u5929\u521b\u7f51\u7edc\u79d1\u6280\u6709\u9650\u516c\u53f8 \u7985\u9053\u65d7\u8230\u7248 3.0",
      "\u9752\u5c9b\u6613\u8f6f\u5929\u521b\u7f51\u7edc\u79d1\u6280\u6709\u9650\u516c\u53f8 \u7985\u9053\u5f00\u6e90\u7248 16.5",
      "\u9752\u5c9b\u6613\u8f6f\u5929\u521b\u7f51\u7edc\u79d1\u6280\u6709\u9650\u516c\u53f8 \u7985\u9053\u5f00\u6e90\u7248 16.5.beta1"
    ]
  },
  "serverity": "\u9ad8",
  "submitTime": "2022-04-30",
  "title": "\u7985\u9053\u5b58\u5728SQL\u6ce8\u5165\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

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.


Detection rules are retrieved from Rulezet.


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.