CNVD-2018-01371

Vulnerability from cnvd - Published: 2018-01-19
VLAI
Title
Bus Booking Script SQL注入漏洞
Description
Bus Booking Script是一套基于PHP和MySQL的在线巴士预定管理系统。 Bus Booking Script中存在SQL注入漏洞。远程攻击者可通过向admin/view_seatseller.php文件发送‘sp_id’参数或向admin/view_member.php文件发送‘memid’参数利用该漏洞获取敏感的数据(例如:当前数据库用户、mysql版本)。
Severity
中
Formal description

厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://archive.org/details/busbookingscript

Reference
https://nvd.nist.gov/vuln/detail/CVE-2017-17829
Impacted products
Name
Doditsolutions Bus Booking Script
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-17829"
    }
  },
  "description": "Bus Booking Script\u662f\u4e00\u5957\u57fa\u4e8ePHP\u548cMySQL\u7684\u5728\u7ebf\u5df4\u58eb\u9884\u5b9a\u7ba1\u7406\u7cfb\u7edf\u3002\r\n\r\nBus Booking Script\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5411admin/view_seatseller.php\u6587\u4ef6\u53d1\u9001\u2018sp_id\u2019\u53c2\u6570\u6216\u5411admin/view_member.php\u6587\u4ef6\u53d1\u9001\u2018memid\u2019\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u7684\u6570\u636e\uff08\u4f8b\u5982\uff1a\u5f53\u524d\u6570\u636e\u5e93\u7528\u6237\u3001mysql\u7248\u672c\uff09\u3002",
  "discovererName": "d4wner",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://archive.org/details/busbookingscript",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-01371",
  "openTime": "2018-01-19",
  "products": {
    "product": "Doditsolutions Bus Booking Script"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-17829",
  "serverity": "\u4e2d",
  "submitTime": "2017-12-22",
  "title": "Bus Booking Script 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…

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…