CNVD-2021-19379
Vulnerability from cnvd - Published: 2021-03-19
VLAI
Title
Red Hat Mobile Aplication Platform输入验证错误漏洞
Description
Red Hat Mobile Aplication Platform是美国红帽(Red Hat)公司的一款移动应用开发平台。该应用可协调大型移动应用开发中的问题另外支持从预打包的无代码移动解决方案到完全自定义的解决方案到移动集成的开发平台方案。
Red Hat Mobile Aplication Platform 4.0版本存在输入验证错误漏洞,该漏洞源于/oauth/logout?redirect=url将登录的用户重定向到任意网页,攻击者可利用漏洞进行网络钓鱼攻击。
Severity
中
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://bugzilla.redhat.com/show_bug.cgi?id=1770276
Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-1723
Impacted products
| Name | Red Hat Mobile Aplication Platform 4.0 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2020-1723",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-1723"
}
},
"description": "Red Hat Mobile Aplication Platform\u662f\u7f8e\u56fd\u7ea2\u5e3d\uff08Red Hat\uff09\u516c\u53f8\u7684\u4e00\u6b3e\u79fb\u52a8\u5e94\u7528\u5f00\u53d1\u5e73\u53f0\u3002\u8be5\u5e94\u7528\u53ef\u534f\u8c03\u5927\u578b\u79fb\u52a8\u5e94\u7528\u5f00\u53d1\u4e2d\u7684\u95ee\u9898\u53e6\u5916\u652f\u6301\u4ece\u9884\u6253\u5305\u7684\u65e0\u4ee3\u7801\u79fb\u52a8\u89e3\u51b3\u65b9\u6848\u5230\u5b8c\u5168\u81ea\u5b9a\u4e49\u7684\u89e3\u51b3\u65b9\u6848\u5230\u79fb\u52a8\u96c6\u6210\u7684\u5f00\u53d1\u5e73\u53f0\u65b9\u6848\u3002\n\nRed Hat Mobile Aplication Platform 4.0\u7248\u672c\u5b58\u5728\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e/oauth/logout?redirect=url\u5c06\u767b\u5f55\u7684\u7528\u6237\u91cd\u5b9a\u5411\u5230\u4efb\u610f\u7f51\u9875\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u8fdb\u884c\u7f51\u7edc\u9493\u9c7c\u653b\u51fb\u3002",
"formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://bugzilla.redhat.com/show_bug.cgi?id=1770276",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-19379",
"openTime": "2021-03-19",
"products": {
"product": "Red Hat Mobile Aplication Platform 4.0"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-1723",
"serverity": "\u4e2d",
"submitTime": "2021-01-30",
"title": "Red Hat Mobile Aplication Platform\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e"
}
Loading…
Loading…
Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- 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
Loading timeline…
Loading…
Loading…
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.
Loading…
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.