CNVD-2022-02728
Vulnerability from cnvd - Published: 2022-01-12
VLAI
Title
DamiCMS跨站请求伪造漏洞(CNVD-2022-02728)
Description
DamiCMS是一套用于快速搭建网站的内容管理系统(CMS)。
DamiCMS v6.0版本存在安全漏洞,该漏洞源于/damicms-master/admin.php?s=/Article/doedit 缺少对于cookie的保护,攻击者可利用该漏洞通过获取用户的会话 cookie来破坏和冒充用户帐户。
Severity
中
Formal description
目前厂商暂未发布修复措施解决此安全问题,建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法:
https://www.damicms.com/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-21236
Impacted products
| Name | DAMICMS DAMICMS 6.0.0 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2020-21236"
}
},
"description": "DamiCMS\u662f\u4e00\u5957\u7528\u4e8e\u5feb\u901f\u642d\u5efa\u7f51\u7ad9\u7684\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff08CMS\uff09\u3002\n\nDamiCMS v6.0\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e/damicms-master/admin.php?s=/Article/doedit \u7f3a\u5c11\u5bf9\u4e8ecookie\u7684\u4fdd\u62a4\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u83b7\u53d6\u7528\u6237\u7684\u4f1a\u8bdd cookie\u6765\u7834\u574f\u548c\u5192\u5145\u7528\u6237\u5e10\u6237\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\n\r\nhttps://www.damicms.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2022-02728",
"openTime": "2022-01-12",
"products": {
"product": "DAMICMS DAMICMS 6.0.0"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-21236",
"serverity": "\u4e2d",
"submitTime": "2021-12-29",
"title": "DamiCMS\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff08CNVD-2022-02728\uff09"
}
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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.
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- 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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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.