GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2025-20869

Vulnerability from cnvd - Published: 2025-09-09
VLAI
Title
Apache StreamPark SQL注入漏洞
Description
Apache StreamPark是美国阿帕奇(Apache)基金会的一个流媒体应用程序开发框架。 Apache StreamPark 2.1.4版本至2.1.6之前版本存在SQL注入漏洞,该漏洞源于应用缺少对外部输入SQL语句的验证。攻击者可利用该漏洞执行非法SQL命令窃取数据库敏感数据。
Severity
Patch Name
Apache StreamPark SQL注入漏洞的补丁
Patch Description
Apache StreamPark是美国阿帕奇(Apache)基金会的一个流媒体应用程序开发框架。 Apache StreamPark 2.1.4版本至2.1.6之前版本存在SQL注入漏洞,该漏洞源于应用缺少对外部输入SQL语句的验证。攻击者可利用该漏洞执行非法SQL命令窃取数据库敏感数据。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

厂商已发布了漏洞修复程序,请及时关注更新: https://streampark.apache.org/download/

Reference
https://lists.apache.org/thread/26ng8388l93zwjrst560cbjz9x7wpq1s
Impacted products
Name
Apache StreamPark >=2.1.4,<2.1.6
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-48988",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-48988"
    }
  },
  "description": "Apache StreamPark\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u4e2a\u6d41\u5a92\u4f53\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\u6846\u67b6\u3002\n\nApache StreamPark 2.1.4\u7248\u672c\u81f32.1.6\u4e4b\u524d\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u975e\u6cd5SQL\u547d\u4ee4\u7a83\u53d6\u6570\u636e\u5e93\u654f\u611f\u6570\u636e\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://streampark.apache.org/download/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-20869",
  "openTime": "2025-09-09",
  "patchDescription": "Apache StreamPark\u662f\u7f8e\u56fd\u963f\u5e15\u5947\uff08Apache\uff09\u57fa\u91d1\u4f1a\u7684\u4e00\u4e2a\u6d41\u5a92\u4f53\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\u6846\u67b6\u3002\r\n\r\nApache StreamPark 2.1.4\u7248\u672c\u81f32.1.6\u4e4b\u524d\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u975e\u6cd5SQL\u547d\u4ee4\u7a83\u53d6\u6570\u636e\u5e93\u654f\u611f\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": "Apache StreamPark SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Apache StreamPark \u003e=2.1.4\uff0c\u003c2.1.6"
  },
  "referenceLink": "https://lists.apache.org/thread/26ng8388l93zwjrst560cbjz9x7wpq1s",
  "serverity": "\u9ad8",
  "submitTime": "2025-08-26",
  "title": "Apache StreamPark 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…