CNVD-2021-70086
Vulnerability from cnvd - Published: 2021-09-11
VLAI
Title
Mautic代码注入漏洞
Description
Mautic是一款开源的营销自动化软件。该软件能够监控管理网站、发送电子邮件并管理客户资源。
Mautic存在代码注入漏洞,该漏洞源于 Mautic 容易受到 JS XSS 攻击。攻击会在在查看联系人的详细信息页面然后单击操作下拉菜单并将鼠标悬停在活动按钮上时触发。 目前没有详细的漏洞细节提供。
Severity
中
Patch Name
Mautic代码注入漏洞的补丁
Patch Description
Mautic是一款开源的营销自动化软件。该软件能够监控管理网站、发送电子邮件并管理客户资源。
Mautic存在代码注入漏洞,该漏洞源于 Mautic 容易受到 JS XSS 攻击。攻击会在在查看联系人的详细信息页面然后单击操作下拉菜单并将鼠标悬停在活动按钮上时触发。 目前没有详细的漏洞细节提供。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
目前厂商已发布升级补丁以修复漏洞,补丁获取链接: https://github.com/mautic/mautic/security/advisories/GHSA-72hm-fx78-xwhc
Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-27911
Impacted products
| Name | Mautic Mautic 无 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2021-27911"
}
},
"description": "Mautic\u662f\u4e00\u6b3e\u5f00\u6e90\u7684\u8425\u9500\u81ea\u52a8\u5316\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u80fd\u591f\u76d1\u63a7\u7ba1\u7406\u7f51\u7ad9\u3001\u53d1\u9001\u7535\u5b50\u90ae\u4ef6\u5e76\u7ba1\u7406\u5ba2\u6237\u8d44\u6e90\u3002\n\nMautic\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e Mautic \u5bb9\u6613\u53d7\u5230 JS XSS \u653b\u51fb\u3002\u653b\u51fb\u4f1a\u5728\u5728\u67e5\u770b\u8054\u7cfb\u4eba\u7684\u8be6\u7ec6\u4fe1\u606f\u9875\u9762\u7136\u540e\u5355\u51fb\u64cd\u4f5c\u4e0b\u62c9\u83dc\u5355\u5e76\u5c06\u9f20\u6807\u60ac\u505c\u5728\u6d3b\u52a8\u6309\u94ae\u4e0a\u65f6\u89e6\u53d1\u3002 \u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttps://github.com/mautic/mautic/security/advisories/GHSA-72hm-fx78-xwhc",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-70086",
"openTime": "2021-09-11",
"patchDescription": "Mautic\u662f\u4e00\u6b3e\u5f00\u6e90\u7684\u8425\u9500\u81ea\u52a8\u5316\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u80fd\u591f\u76d1\u63a7\u7ba1\u7406\u7f51\u7ad9\u3001\u53d1\u9001\u7535\u5b50\u90ae\u4ef6\u5e76\u7ba1\u7406\u5ba2\u6237\u8d44\u6e90\u3002\r\n\r\nMautic\u5b58\u5728\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e Mautic \u5bb9\u6613\u53d7\u5230 JS XSS \u653b\u51fb\u3002\u653b\u51fb\u4f1a\u5728\u5728\u67e5\u770b\u8054\u7cfb\u4eba\u7684\u8be6\u7ec6\u4fe1\u606f\u9875\u9762\u7136\u540e\u5355\u51fb\u64cd\u4f5c\u4e0b\u62c9\u83dc\u5355\u5e76\u5c06\u9f20\u6807\u60ac\u505c\u5728\u6d3b\u52a8\u6309\u94ae\u4e0a\u65f6\u89e6\u53d1\u3002 \u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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": "Mautic\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": "Mautic Mautic \u65e0"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-27911",
"serverity": "\u4e2d",
"submitTime": "2021-09-01",
"title": "Mautic\u4ee3\u7801\u6ce8\u5165\u6f0f\u6d1e"
}
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Sightings
| Author | Source | Type | Date | Other |
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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.