CNVD-2021-25682
Vulnerability from cnvd - Published: 2021-04-08
VLAI
Title
F5 BIG-IQ访问控制错误漏洞
Description
F5 BIG-IQ是美国F5公司的一套基于软件的云管理解决方案。该方案支持跨公共和私有云、传统数据中心和混合环境部署应用交付和网络服务。
F5 BIG-IQ 5.2.0版本至7.0.0版本中存在访问控制错误漏洞,该漏洞源于在连接对等设备时,高可用性同步机制未能使用任何形式的身份验证,攻击者可借助特制的请求利用该漏洞绕过访问限制。
Severity
中
Formal description
目前厂商只发布了该软件7.x版本的修复措施,该软件5.x版本和6.x版本的修复措施暂未发布,详情请参考链接: https://support.f5.com/csp/article/K69422435
Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-5870
Impacted products
| Name | F5 BIG-IQ >=5.2.0,<=7.0.0 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2020-5870"
}
},
"description": "F5 BIG-IQ\u662f\u7f8e\u56fdF5\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8e\u8f6f\u4ef6\u7684\u4e91\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u652f\u6301\u8de8\u516c\u5171\u548c\u79c1\u6709\u4e91\u3001\u4f20\u7edf\u6570\u636e\u4e2d\u5fc3\u548c\u6df7\u5408\u73af\u5883\u90e8\u7f72\u5e94\u7528\u4ea4\u4ed8\u548c\u7f51\u7edc\u670d\u52a1\u3002\n\nF5 BIG-IQ 5.2.0\u7248\u672c\u81f37.0.0\u7248\u672c\u4e2d\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u8fde\u63a5\u5bf9\u7b49\u8bbe\u5907\u65f6\uff0c\u9ad8\u53ef\u7528\u6027\u540c\u6b65\u673a\u5236\u672a\u80fd\u4f7f\u7528\u4efb\u4f55\u5f62\u5f0f\u7684\u8eab\u4efd\u9a8c\u8bc1\uff0c\u653b\u51fb\u8005\u53ef\u501f\u52a9\u7279\u5236\u7684\u8bf7\u6c42\u5229\u7528\u8be5\u6f0f\u6d1e\u7ed5\u8fc7\u8bbf\u95ee\u9650\u5236\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u53ea\u53d1\u5e03\u4e86\u8be5\u8f6f\u4ef67.x\u7248\u672c\u7684\u4fee\u590d\u63aa\u65bd\uff0c\u8be5\u8f6f\u4ef65.x\u7248\u672c\u548c6.x\u7248\u672c\u7684\u4fee\u590d\u63aa\u65bd\u6682\u672a\u53d1\u5e03\uff0c\u8be6\u60c5\u8bf7\u53c2\u8003\u94fe\u63a5\uff1a\r\nhttps://support.f5.com/csp/article/K69422435",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-25682",
"openTime": "2021-04-08",
"products": {
"product": "F5 BIG-IQ \u003e=5.2.0\uff0c\u003c=7.0.0"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-5870",
"serverity": "\u4e2d",
"submitTime": "2020-04-26",
"title": "F5 BIG-IQ\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\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.