CNVD-2021-90770
Vulnerability from cnvd - Published: 2021-11-25
VLAI
Title
Hitachi Vantara Pentaho访问控制错误漏洞
Description
Hitachi Vantara Pentaho是日本Hitachi公司的一款用于大数据环境中对数据进行存储和管理的服务。
Hitachi Vantara Pentaho存在访问控制错误漏洞,攻击者可利用该漏洞列出Jackrabbit存储库中存在的所有应用程序用户名。
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://support.pentaho.com/hc/en-us
Reference
https://packetstormsecurity.com/files/164787/Pentaho-Business-Analytics-Pentaho-Business-Server-9.1-User-Enumeration.html
Impacted products
| Name | Hitachi Vantara Pentaho <=9.1 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2021-31600"
}
},
"description": "Hitachi Vantara Pentaho\u662f\u65e5\u672cHitachi\u516c\u53f8\u7684\u4e00\u6b3e\u7528\u4e8e\u5927\u6570\u636e\u73af\u5883\u4e2d\u5bf9\u6570\u636e\u8fdb\u884c\u5b58\u50a8\u548c\u7ba1\u7406\u7684\u670d\u52a1\u3002\n\nHitachi Vantara Pentaho\u5b58\u5728\u8bbf\u95ee\u63a7\u5236\u9519\u8bef\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5217\u51faJackrabbit\u5b58\u50a8\u5e93\u4e2d\u5b58\u5728\u7684\u6240\u6709\u5e94\u7528\u7a0b\u5e8f\u7528\u6237\u540d\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://support.pentaho.com/hc/en-us",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-90770",
"openTime": "2021-11-25",
"products": {
"product": "Hitachi Vantara Pentaho \u003c=9.1"
},
"referenceLink": "https://packetstormsecurity.com/files/164787/Pentaho-Business-Analytics-Pentaho-Business-Server-9.1-User-Enumeration.html",
"serverity": "\u4e2d",
"submitTime": "2021-11-09",
"title": "Hitachi Vantara Pentaho\u8bbf\u95ee\u63a7\u5236\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.