CNVD-2021-29485

Vulnerability from cnvd - Published: 2021-04-19
VLAI
Title
Apache DolphinScheduler远程代码执行漏洞
Description
Apache DolphinScheduler是一个分布式去中心化,易扩展的可视化DAG工作流任务调度系统。致力于解决数据处理流程中错综复杂的依赖关系,使调度系统在数据处理流程中开箱即用。 Apache DolphinScheduler 1.2.0和1.2.1版本存在远程代码执行漏洞,攻击者可通过jdbc connect参数输入{“detectCustomCollations”:true,“ autoDeserialize”:true}在DolphinScheduler服务器上远程执行代码。
Severity
高
Patch Name
Apache DolphinScheduler远程代码执行漏洞的补丁
Patch Description
Apache DolphinScheduler是一个分布式去中心化,易扩展的可视化DAG工作流任务调度系统。致力于解决数据处理流程中错综复杂的依赖关系,使调度系统在数据处理流程中开箱即用。 Apache DolphinScheduler 1.2.0和1.2.1版本存在远程代码执行漏洞,攻击者可通过jdbc connect参数输入{“detectCustomCollations”:true,“ autoDeserialize”:true}在DolphinScheduler服务器上远程执行代码。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

厂商已发布了漏洞修复程序,请及时关注更新: https://lists.apache.org/thread.html/rcbe4c248ef0c566e99fd19388a6c92aeef88167286546b675e9b1769%40%3Cdev.dolphinscheduler.apache.org%3E

Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-11974
Impacted products
Name
['Apache Apache DolphinScheduler 1.2.0', 'Apache Apache DolphinScheduler 1.2.1']
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-11974",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-11974"
    }
  },
  "description": "Apache DolphinScheduler\u662f\u4e00\u4e2a\u5206\u5e03\u5f0f\u53bb\u4e2d\u5fc3\u5316\uff0c\u6613\u6269\u5c55\u7684\u53ef\u89c6\u5316DAG\u5de5\u4f5c\u6d41\u4efb\u52a1\u8c03\u5ea6\u7cfb\u7edf\u3002\u81f4\u529b\u4e8e\u89e3\u51b3\u6570\u636e\u5904\u7406\u6d41\u7a0b\u4e2d\u9519\u7efc\u590d\u6742\u7684\u4f9d\u8d56\u5173\u7cfb\uff0c\u4f7f\u8c03\u5ea6\u7cfb\u7edf\u5728\u6570\u636e\u5904\u7406\u6d41\u7a0b\u4e2d\u5f00\u7bb1\u5373\u7528\u3002\n\nApache DolphinScheduler 1.2.0\u548c1.2.1\u7248\u672c\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u901a\u8fc7jdbc connect\u53c2\u6570\u8f93\u5165{\u201cdetectCustomCollations\u201d:true\uff0c\u201c autoDeserialize\u201d:true}\u5728DolphinScheduler\u670d\u52a1\u5668\u4e0a\u8fdc\u7a0b\u6267\u884c\u4ee3\u7801\u3002",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://lists.apache.org/thread.html/rcbe4c248ef0c566e99fd19388a6c92aeef88167286546b675e9b1769%40%3Cdev.dolphinscheduler.apache.org%3E",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-29485",
  "openTime": "2021-04-19",
  "patchDescription": "Apache DolphinScheduler\u662f\u4e00\u4e2a\u5206\u5e03\u5f0f\u53bb\u4e2d\u5fc3\u5316\uff0c\u6613\u6269\u5c55\u7684\u53ef\u89c6\u5316DAG\u5de5\u4f5c\u6d41\u4efb\u52a1\u8c03\u5ea6\u7cfb\u7edf\u3002\u81f4\u529b\u4e8e\u89e3\u51b3\u6570\u636e\u5904\u7406\u6d41\u7a0b\u4e2d\u9519\u7efc\u590d\u6742\u7684\u4f9d\u8d56\u5173\u7cfb\uff0c\u4f7f\u8c03\u5ea6\u7cfb\u7edf\u5728\u6570\u636e\u5904\u7406\u6d41\u7a0b\u4e2d\u5f00\u7bb1\u5373\u7528\u3002\r\n\r\nApache DolphinScheduler 1.2.0\u548c1.2.1\u7248\u672c\u5b58\u5728\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u901a\u8fc7jdbc connect\u53c2\u6570\u8f93\u5165{\u201cdetectCustomCollations\u201d:true\uff0c\u201c autoDeserialize\u201d:true}\u5728DolphinScheduler\u670d\u52a1\u5668\u4e0a\u8fdc\u7a0b\u6267\u884c\u4ee3\u7801\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 DolphinScheduler\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": [
      "Apache Apache DolphinScheduler 1.2.0",
      "Apache Apache DolphinScheduler 1.2.1"
    ]
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-11974",
  "serverity": "\u9ad8",
  "submitTime": "2020-11-05",
  "title": "Apache DolphinScheduler\u8fdc\u7a0b\u4ee3\u7801\u6267\u884c\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…