CNVD-2021-42391
Vulnerability from cnvd - Published: 2021-06-17
VLAI
Title
GitLab GitLab跨站请求伪造漏洞
Description
GitLab是美国GitLab公司的一款使用Ruby on Rails开发的、自托管的、Git(版本控制系统)项目仓库应用程序。该程序可用于查阅项目的文件内容、提交历史、Bug列表等。
GitLab GitLab存在跨站请求伪造漏洞,该漏洞源于启用对内部网络的 webhooks 请求。当启用对内部网络的 webhooks 请求时,即使在禁用注册的 GitLab 实例上,所有受影响版本的服务器端跨站请求伪造漏洞可能被未经身份验证的攻击者利用。目前没有详细的漏洞细节提供。
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://gitlab.com/gitlab-org/cves/-/blob/master/2021/CVE-2021-22175.json
Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-22175
Impacted products
| Name | GitLab GitLab |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2021-22175"
}
},
"description": "GitLab\u662f\u7f8e\u56fdGitLab\u516c\u53f8\u7684\u4e00\u6b3e\u4f7f\u7528Ruby on Rails\u5f00\u53d1\u7684\u3001\u81ea\u6258\u7ba1\u7684\u3001Git\uff08\u7248\u672c\u63a7\u5236\u7cfb\u7edf\uff09\u9879\u76ee\u4ed3\u5e93\u5e94\u7528\u7a0b\u5e8f\u3002\u8be5\u7a0b\u5e8f\u53ef\u7528\u4e8e\u67e5\u9605\u9879\u76ee\u7684\u6587\u4ef6\u5185\u5bb9\u3001\u63d0\u4ea4\u5386\u53f2\u3001Bug\u5217\u8868\u7b49\u3002\n\nGitLab GitLab\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u542f\u7528\u5bf9\u5185\u90e8\u7f51\u7edc\u7684 webhooks \u8bf7\u6c42\u3002\u5f53\u542f\u7528\u5bf9\u5185\u90e8\u7f51\u7edc\u7684 webhooks \u8bf7\u6c42\u65f6\uff0c\u5373\u4f7f\u5728\u7981\u7528\u6ce8\u518c\u7684 GitLab \u5b9e\u4f8b\u4e0a\uff0c\u6240\u6709\u53d7\u5f71\u54cd\u7248\u672c\u7684\u670d\u52a1\u5668\u7aef\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\u53ef\u80fd\u88ab\u672a\u7ecf\u8eab\u4efd\u9a8c\u8bc1\u7684\u653b\u51fb\u8005\u5229\u7528\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u7684\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\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\nhttps://gitlab.com/gitlab-org/cves/-/blob/master/2021/CVE-2021-22175.json",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-42391",
"openTime": "2021-06-17",
"products": {
"product": "GitLab GitLab"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-22175",
"serverity": "\u4e2d",
"submitTime": "2021-06-17",
"title": "GitLab GitLab\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\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
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- 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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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.
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.