CNVD-2017-32526
Vulnerability from cnvd - Published: 2017-11-02
VLAI
Title
Cisco Unified Intelligence Center跨站脚本漏洞(CNVD-2017-32526)
Description
Cisco Unified Intelligence Center是美国思科(Cisco)公司的一套基于Web的报表平台。该平台提供报告相关的业务数据和呼叫中心数据的全面展示等功能。
Cisco Unified Intelligence Center中的Web界面中存在跨站脚本漏洞,该漏洞源于程序未能验证用户提交到DOM输入中的数据。远程攻击者可通过向受影响的系统发送特制的URL利用该漏洞影响系统的完整性。
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://bst.cloudapps.cisco.com/bugsearch/bug/CSCvf18325
Reference
https://nvd.nist.gov/vuln/detail/CVE-2017-6789
http://www.securityfocus.com/bid/100646
Impacted products
| Name | Cisco Unified Intelligence Center 11.0(1)ES10 |
|---|
{
"bids": {
"bid": {
"bidNumber": "100646"
}
},
"cves": {
"cve": {
"cveNumber": "CVE-2017-6789"
}
},
"description": "Cisco Unified Intelligence Center\u662f\u7f8e\u56fd\u601d\u79d1\uff08Cisco\uff09\u516c\u53f8\u7684\u4e00\u5957\u57fa\u4e8eWeb\u7684\u62a5\u8868\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u63d0\u4f9b\u62a5\u544a\u76f8\u5173\u7684\u4e1a\u52a1\u6570\u636e\u548c\u547c\u53eb\u4e2d\u5fc3\u6570\u636e\u7684\u5168\u9762\u5c55\u793a\u7b49\u529f\u80fd\u3002\r\n\r\nCisco Unified Intelligence Center\u4e2d\u7684Web\u754c\u9762\u4e2d\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u9a8c\u8bc1\u7528\u6237\u63d0\u4ea4\u5230DOM\u8f93\u5165\u4e2d\u7684\u6570\u636e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5411\u53d7\u5f71\u54cd\u7684\u7cfb\u7edf\u53d1\u9001\u7279\u5236\u7684URL\u5229\u7528\u8be5\u6f0f\u6d1e\u5f71\u54cd\u7cfb\u7edf\u7684\u5b8c\u6574\u6027\u3002",
"discovererName": "Cisco",
"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://bst.cloudapps.cisco.com/bugsearch/bug/CSCvf18325",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2017-32526",
"openTime": "2017-11-02",
"products": {
"product": "Cisco Unified Intelligence Center 11.0(1)ES10"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-6789\r\nhttp://www.securityfocus.com/bid/100646",
"serverity": "\u4e2d",
"submitTime": "2017-09-08",
"title": "Cisco Unified Intelligence Center\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff08CNVD-2017-32526\uff09"
}
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.