CNVD-2016-12893
Vulnerability from cnvd - Published: 2016-12-23
VLAI
Title
dotCMS 'stName'参数SQL注入漏洞
Description
dotCMS是一个Java开发的内容管理系统(CMS)。
dotCMS 3.3.2之前版本中'stName'参数存在SQL注入漏洞,远程攻击者通过api/content/save/1的stName参数执行任意SQL命令。
Severity
高
Patch Name
dotCMS 'stName'参数SQL注入漏洞的补丁
Patch Description
dotCMS是一个Java开发的内容管理系统(CMS)。
dotCMS 3.3.2之前版本中'stName'参数存在SQL注入漏洞,远程攻击者通过api/content/save/1的stName参数执行任意SQL命令。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
目前厂商已经发布了升级补丁以修复这个安全问题,请到厂商的主页下载: https://github.com/dotCMS/core/issues/8848
Reference
http://www.securityfocus.com/bid/94992
Impacted products
| Name | dotCMS dotCMS <3.3.2 |
|---|
{
"bids": {
"bid": {
"bidNumber": "94992"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2016-2355"
}
},
"description": "dotCMS\u662f\u4e00\u4e2aJava\u5f00\u53d1\u7684\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf(CMS)\u3002\r\n\r\ndotCMS 3.3.2\u4e4b\u524d\u7248\u672c\u4e2d\u0027stName\u0027\u53c2\u6570\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u901a\u8fc7api/content/save/1\u7684stName\u53c2\u6570\u6267\u884c\u4efb\u610fSQL\u547d\u4ee4\u3002",
"discovererName": "Nicky @ Tencent Security Platform Department.",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u8fd9\u4e2a\u5b89\u5168\u95ee\u9898\uff0c\u8bf7\u5230\u5382\u5546\u7684\u4e3b\u9875\u4e0b\u8f7d\uff1a\r\nhttps://github.com/dotCMS/core/issues/8848",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2016-12893",
"openTime": "2016-12-23",
"patchDescription": "dotCMS\u662f\u4e00\u4e2aJava\u5f00\u53d1\u7684\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf(CMS)\u3002\r\n\r\ndotCMS 3.3.2\u4e4b\u524d\u7248\u672c\u4e2d\u0027stName\u0027\u53c2\u6570\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8fdc\u7a0b\u653b\u51fb\u8005\u901a\u8fc7api/content/save/1\u7684stName\u53c2\u6570\u6267\u884c\u4efb\u610fSQL\u547d\u4ee4\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": "dotCMS \u0027stName\u0027\u53c2\u6570SQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": "dotCMS dotCMS \u003c3.3.2"
},
"referenceLink": "http://www.securityfocus.com/bid/94992",
"serverity": "\u9ad8",
"submitTime": "2016-12-22",
"title": "dotCMS \u0027stName\u0027\u53c2\u6570SQL\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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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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