CNVD-2017-26271
Vulnerability from cnvd - Published: 2017-09-12
VLAI
Title
Pegasystem PEGA Platform访问控制漏洞
Description
Pegasystem PEGA Platform是英国Pegasystem公司的一套应用程序开发平台。该平台用于开发BPM(业务流程管理)、案例管理、实时决策和CRM(客户关系管理)等应用程序。
Pegasystem PEGA Platform 7.2 ML0及之前的版本中application distribution导出功能存在安全漏洞。远程攻击者可利用该漏洞获取敏感的配置信息。
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://www.pega.com/
Reference
http://seclists.org/fulldisclosure/2017/Jul/28
Impacted products
| Name | Pegasystem PEGA Platform <= 7.2 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2017-11356"
}
},
"description": "Pegasystem PEGA Platform\u662f\u82f1\u56fdPegasystem\u516c\u53f8\u7684\u4e00\u5957\u5e94\u7528\u7a0b\u5e8f\u5f00\u53d1\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u7528\u4e8e\u5f00\u53d1BPM\uff08\u4e1a\u52a1\u6d41\u7a0b\u7ba1\u7406\uff09\u3001\u6848\u4f8b\u7ba1\u7406\u3001\u5b9e\u65f6\u51b3\u7b56\u548cCRM\uff08\u5ba2\u6237\u5173\u7cfb\u7ba1\u7406\uff09\u7b49\u5e94\u7528\u7a0b\u5e8f\u3002\r\n\r\nPegasystem PEGA Platform 7.2 ML0\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2dapplication distribution\u5bfc\u51fa\u529f\u80fd\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u7684\u914d\u7f6e\u4fe1\u606f\u3002",
"discovererName": "Daniel Correa",
"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://www.pega.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2017-26271",
"openTime": "2017-09-12",
"products": {
"product": "Pegasystem PEGA Platform \u003c= 7.2"
},
"referenceLink": "http://seclists.org/fulldisclosure/2017/Jul/28",
"serverity": "\u4e2d",
"submitTime": "2017-08-04",
"title": "Pegasystem PEGA Platform\u8bbf\u95ee\u63a7\u5236\u6f0f\u6d1e"
}
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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.
- 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.
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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.
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