CNVD-2020-63394
Vulnerability from cnvd - Published: 2020-11-16
VLAI
Title
GitLab存在未明漏洞(CNVD-2020-63394 )
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(企业版和社区版)11.3版本至13.0.1版本中存在安全漏洞,该漏洞源于在创建分支关系时缺少权限检查。攻击者可通过API利用该漏洞在受限制的公共项目上创建分支关系。
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://about.gitlab.com/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-13270
Impacted products
| Name | GitLab GitLab(企业版和社区版) >=11.3,<=13.0.1 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2020-13270"
}
},
"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\uff08\u4f01\u4e1a\u7248\u548c\u793e\u533a\u7248\uff0911.3\u7248\u672c\u81f313.0.1\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u521b\u5efa\u5206\u652f\u5173\u7cfb\u65f6\u7f3a\u5c11\u6743\u9650\u68c0\u67e5\u3002\u653b\u51fb\u8005\u53ef\u901a\u8fc7API\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u53d7\u9650\u5236\u7684\u516c\u5171\u9879\u76ee\u4e0a\u521b\u5efa\u5206\u652f\u5173\u7cfb\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://about.gitlab.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2020-63394",
"openTime": "2020-11-16",
"products": {
"product": "GitLab GitLab\uff08\u4f01\u4e1a\u7248\u548c\u793e\u533a\u7248\uff09 \u003e=11.3\uff0c\u003c=13.0.1"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-13270",
"serverity": "\u4e2d",
"submitTime": "2020-06-11",
"title": "GitLab\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2020-63394 \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.