CNVD-2014-09216
Vulnerability from cnvd - Published: 2014-12-30
VLAI
Title
WordPress插件Mikiurl Wordpress Eklentisi存在多个跨站请求伪造漏洞
Description
WordPress是一种使用PHP语言开发的博客平台,用户可以在支持PHP和MySQL数据库的服务器上架设自己的网志。
WordPress插件Mikiurl Wordpress Eklentisi 2.0及之前版本存在多个跨站请求伪造漏洞,允许远程攻击者通过 (1) twitter_kullanici(2) twitter_sifre参数劫持管理员的请求认证。
Severity
中
Formal description
目前没有详细的解决方案: http://www.wordpress.org
Reference
http://packetstormsecurity.com/files/129577/Mikiurl-WordPress-Eklentisi-2.0-CSRF-XSS.html
Impacted products
| Name | WordPress Mikiurl Wordpress Eklentisi plugin <=2.0 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2014-9337"
}
},
"description": "WordPress\u662f\u4e00\u79cd\u4f7f\u7528PHP\u8bed\u8a00\u5f00\u53d1\u7684\u535a\u5ba2\u5e73\u53f0\uff0c\u7528\u6237\u53ef\u4ee5\u5728\u652f\u6301PHP\u548cMySQL\u6570\u636e\u5e93\u7684\u670d\u52a1\u5668\u4e0a\u67b6\u8bbe\u81ea\u5df1\u7684\u7f51\u5fd7\u3002\r\n\r\nWordPress\u63d2\u4ef6Mikiurl Wordpress Eklentisi 2.0\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u591a\u4e2a\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u5141\u8bb8\u8fdc\u7a0b\u653b\u51fb\u8005\u901a\u8fc7 (1) twitter_kullanici(2) twitter_sifre\u53c2\u6570\u52ab\u6301\u7ba1\u7406\u5458\u7684\u8bf7\u6c42\u8ba4\u8bc1\u3002",
"discovererName": "Manideep K",
"formalWay": "\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u89e3\u51b3\u65b9\u6848\uff1a\r\nhttp://www.wordpress.org",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2014-09216",
"openTime": "2014-12-30",
"products": {
"product": "WordPress Mikiurl Wordpress Eklentisi plugin \u003c=2.0"
},
"referenceLink": "http://packetstormsecurity.com/files/129577/Mikiurl-WordPress-Eklentisi-2.0-CSRF-XSS.html",
"serverity": "\u4e2d",
"submitTime": "2014-12-26",
"title": "WordPress\u63d2\u4ef6Mikiurl Wordpress Eklentisi\u5b58\u5728\u591a\u4e2a\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\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
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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.