CNVD-2022-88972
Vulnerability from cnvd - Published: 2022-12-18
VLAI
Title
SAP Data Services Management跨站脚本漏洞
Description
SAP Data Services Management是德国思爱普(SAP)公司的一个数据服务管理软件。有助于确保不会在业务的不同部分(包括流程、运营、分析和报告)中使用多个可能不一致的数据版本。
SAP Data Services Management4.2版本和4.3版本存在跨站脚本漏洞。该漏洞源于对用户提供的数据缺乏有效过滤与转义,登录管理控制台的攻击者可利用该漏洞从请求中复制数据并将其回显到应用程序的即时响应中,发起跨站攻击。
Severity
中
Patch Name
SAP Data Services Management跨站脚本漏洞的补丁
Patch Description
SAP Data Services Management是德国思爱普(SAP)公司的一个数据服务管理软件。有助于确保不会在业务的不同部分(包括流程、运营、分析和报告)中使用多个可能不一致的数据版本。
SAP Data Services Management4.2版本和4.3版本存在跨站脚本漏洞。该漏洞源于对用户提供的数据缺乏有效过滤与转义,登录管理控制台的攻击者可利用该漏洞从请求中复制数据并将其回显到应用程序的即时响应中,发起跨站攻击。
目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description
目前厂商已发布升级补丁以修复漏洞,补丁获取链接:https://launchpad.support.sap.com/#/notes/3167342
Reference
https://www.sap.com/documents/2022/02/fa865ea4-167e-0010-bca6-c68f7e60039b.html
Impacted products
| Name | ['SAP Data Services Management 4.2', 'SAP Data Services Management 4.3'] |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2022-35226",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-35226"
}
},
"description": "SAP Data Services Management\u662f\u5fb7\u56fd\u601d\u7231\u666e\uff08SAP\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u6570\u636e\u670d\u52a1\u7ba1\u7406\u8f6f\u4ef6\u3002\u6709\u52a9\u4e8e\u786e\u4fdd\u4e0d\u4f1a\u5728\u4e1a\u52a1\u7684\u4e0d\u540c\u90e8\u5206\uff08\u5305\u62ec\u6d41\u7a0b\u3001\u8fd0\u8425\u3001\u5206\u6790\u548c\u62a5\u544a\uff09\u4e2d\u4f7f\u7528\u591a\u4e2a\u53ef\u80fd\u4e0d\u4e00\u81f4\u7684\u6570\u636e\u7248\u672c\u3002\n\nSAP Data Services Management4.2\u7248\u672c\u548c4.3\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u7f3a\u4e4f\u6709\u6548\u8fc7\u6ee4\u4e0e\u8f6c\u4e49\uff0c\u767b\u5f55\u7ba1\u7406\u63a7\u5236\u53f0\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ece\u8bf7\u6c42\u4e2d\u590d\u5236\u6570\u636e\u5e76\u5c06\u5176\u56de\u663e\u5230\u5e94\u7528\u7a0b\u5e8f\u7684\u5373\u65f6\u54cd\u5e94\u4e2d\uff0c\u53d1\u8d77\u8de8\u7ad9\u653b\u51fb\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6f0f\u6d1e\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1ahttps://launchpad.support.sap.com/#/notes/3167342",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2022-88972",
"openTime": "2022-12-18",
"patchDescription": "SAP Data Services Management\u662f\u5fb7\u56fd\u601d\u7231\u666e\uff08SAP\uff09\u516c\u53f8\u7684\u4e00\u4e2a\u6570\u636e\u670d\u52a1\u7ba1\u7406\u8f6f\u4ef6\u3002\u6709\u52a9\u4e8e\u786e\u4fdd\u4e0d\u4f1a\u5728\u4e1a\u52a1\u7684\u4e0d\u540c\u90e8\u5206\uff08\u5305\u62ec\u6d41\u7a0b\u3001\u8fd0\u8425\u3001\u5206\u6790\u548c\u62a5\u544a\uff09\u4e2d\u4f7f\u7528\u591a\u4e2a\u53ef\u80fd\u4e0d\u4e00\u81f4\u7684\u6570\u636e\u7248\u672c\u3002\r\n\r\nSAP Data Services Management4.2\u7248\u672c\u548c4.3\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u3002\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u7f3a\u4e4f\u6709\u6548\u8fc7\u6ee4\u4e0e\u8f6c\u4e49\uff0c\u767b\u5f55\u7ba1\u7406\u63a7\u5236\u53f0\u7684\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ece\u8bf7\u6c42\u4e2d\u590d\u5236\u6570\u636e\u5e76\u5c06\u5176\u56de\u663e\u5230\u5e94\u7528\u7a0b\u5e8f\u7684\u5373\u65f6\u54cd\u5e94\u4e2d\uff0c\u53d1\u8d77\u8de8\u7ad9\u653b\u51fb\u3002\r\n\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
"patchName": "SAP Data Services Management\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": [
"SAP Data Services Management 4.2",
"SAP Data Services Management 4.3"
]
},
"referenceLink": "https://www.sap.com/documents/2022/02/fa865ea4-167e-0010-bca6-c68f7e60039b.html",
"serverity": "\u4e2d",
"submitTime": "2022-10-13",
"title": "SAP Data Services Management\u8de8\u7ad9\u811a\u672c\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.