CNVD-2017-01080
Vulnerability from cnvd - Published: 2017-02-08
VLAI Severity ?
Title
Subrion CMS PHP对象注入漏洞
Description
Subrion CMS是一套开源的内容管理系统(CMS)。
Subrion CMS存在PHP对象注入漏洞,该漏洞源于未能充分验证用户输入。攻击者可利用该漏洞在应用程序中注入任意对象,删除文件,查看文件,执行本地脚本代码访问或修改数据,或利用底层数据库的潜在漏洞通过特制的序列化对象执行任意的PHP代码。
Severity
高
Formal description
目前没有详细的解决方案提供: https://github.com/intelliants/subrion
Reference
http://www.securityfocus.com/bid/95688
Impacted products
| Name | Intelliants Subrion Cms 4.0.5 |
|---|
{
"bids": {
"bid": {
"bidNumber": "95688"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2017-5543",
"cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-5543"
}
},
"description": "Subrion CMS\u662f\u4e00\u5957\u5f00\u6e90\u7684\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff08CMS\uff09\u3002\r\n\r\nSubrion CMS\u5b58\u5728PHP\u5bf9\u8c61\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u672a\u80fd\u5145\u5206\u9a8c\u8bc1\u7528\u6237\u8f93\u5165\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u5e94\u7528\u7a0b\u5e8f\u4e2d\u6ce8\u5165\u4efb\u610f\u5bf9\u8c61\uff0c\u5220\u9664\u6587\u4ef6\uff0c\u67e5\u770b\u6587\u4ef6\uff0c\u6267\u884c\u672c\u5730\u811a\u672c\u4ee3\u7801\u8bbf\u95ee\u6216\u4fee\u6539\u6570\u636e\uff0c\u6216\u5229\u7528\u5e95\u5c42\u6570\u636e\u5e93\u7684\u6f5c\u5728\u6f0f\u6d1e\u901a\u8fc7\u7279\u5236\u7684\u5e8f\u5217\u5316\u5bf9\u8c61\u6267\u884c\u4efb\u610f\u7684PHP\u4ee3\u7801\u3002",
"discovererName": "Xyntax.",
"formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\u63d0\u4f9b\uff1a\r\nhttps://github.com/intelliants/subrion",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2017-01080",
"openTime": "2017-02-08",
"products": {
"product": "Intelliants Subrion Cms 4.0.5"
},
"referenceLink": "http://www.securityfocus.com/bid/95688",
"serverity": "\u9ad8",
"submitTime": "2017-01-25",
"title": "Subrion CMS PHP\u5bf9\u8c61\u6ce8\u5165\u6f0f\u6d1e"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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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