CNVD-2025-29594

Vulnerability from cnvd - Published: 2025-12-01
VLAI
Title
COVID Tracking System SQL注入漏洞
Description
COVID Tracking System是一个新冠肺炎追踪系统。 COVID Tracking System存在SQL注入漏洞,该漏洞源于/admin/?page=state文件未对ID参数进行安全过滤。攻击者可利用该漏洞通过构造恶意SQL指令非法获取数据库敏感信息。
Severity
中
Formal description

目前厂商尚未发布升级程序修复该安全问题,详情见厂商官网: https://itsourcecode.com/

Reference
https://vuldb.com/?id.333334 https://vuldb.com/?ctiid.333334 https://vuldb.com/?submit.698656 https://github.com/yihaofuweng/cve/issues/59 https://itsourcecode.com/
Impacted products
Name
COVID Tracking System COVID Tracking System 1.0
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-13570",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-13570"
    }
  },
  "description": "COVID Tracking System\u662f\u4e00\u4e2a\u65b0\u51a0\u80ba\u708e\u8ffd\u8e2a\u7cfb\u7edf\u3002\n\nCOVID Tracking System\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e/admin/?page=state\u6587\u4ef6\u672a\u5bf9ID\u53c2\u6570\u8fdb\u884c\u5b89\u5168\u8fc7\u6ee4\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u6784\u9020\u6076\u610fSQL\u6307\u4ee4\u975e\u6cd5\u83b7\u53d6\u6570\u636e\u5e93\u654f\u611f\u4fe1\u606f\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5c1a\u672a\u53d1\u5e03\u5347\u7ea7\u7a0b\u5e8f\u4fee\u590d\u8be5\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u89c1\u5382\u5546\u5b98\u7f51\uff1a\r\nhttps://itsourcecode.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-29594",
  "openTime": "2025-12-01",
  "products": {
    "product": "COVID Tracking System COVID Tracking System 1.0"
  },
  "referenceLink": "https://vuldb.com/?id.333334\r\nhttps://vuldb.com/?ctiid.333334\r\nhttps://vuldb.com/?submit.698656\r\nhttps://github.com/yihaofuweng/cve/issues/59\r\nhttps://itsourcecode.com/",
  "serverity": "\u4e2d",
  "submitTime": "2025-11-24",
  "title": "COVID Tracking System SQL\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.

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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.


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