CNVD-2015-01947
Vulnerability from cnvd - Published: 2015-03-25
VLAI
Title
IBM PowerVC信息泄露漏洞
Description
IBM PowerVC是美国IBM公司的一套虚拟化管理解决方案。该方案支持虚拟系统管理、虚拟图像管理和部署、以及虚拟工作负载管理等。
IBM PowerVC 1.2.0.0版本至1.2.0.3版本和1.2.1.0版本至1.2.1.2版本的powervc-iso-import命令存在安全漏洞,该漏洞源于程序管理IVM和PowerKVM期间,命令行中存在访问令牌。本地攻击者可通过列出进程利用该漏洞获取敏感信息。
Severity
低
Patch Name
IBM PowerVC信息泄露漏洞的补丁
Patch Description
IBM PowerVC是美国IBM公司的一套虚拟化管理解决方案。该方案支持虚拟系统管理、虚拟图像管理和部署、以及虚拟工作负载管理等。
IBM PowerVC 1.2.0.0版本至1.2.0.3版本和1.2.1.0版本至1.2.1.2版本的powervc-iso-import命令存在安全漏洞,该漏洞源于程序管理IVM和PowerKVM期间,命令行中存在访问令牌。本地攻击者可通过列出进程利用该漏洞获取敏感信息。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
目前厂商已经发布了升级补丁以修复此安全问题,补丁获取链接: http://www-01.ibm.com/support/docview.wss?uid=nas8N1020608
Reference
http://www-01.ibm.com/support/docview.wss?uid=nas8N1020608
https://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2015-0136
Impacted products
| Name | ['IBM PowerVC Standard 1.2.0.x(<1.2.0.4)', 'IBM PowerVC Standard 1.2.1.x(<1.2.2)'] |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2015-0136"
}
},
"description": "IBM PowerVC\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u865a\u62df\u5316\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u652f\u6301\u865a\u62df\u7cfb\u7edf\u7ba1\u7406\u3001\u865a\u62df\u56fe\u50cf\u7ba1\u7406\u548c\u90e8\u7f72\u3001\u4ee5\u53ca\u865a\u62df\u5de5\u4f5c\u8d1f\u8f7d\u7ba1\u7406\u7b49\u3002\r\n\r\nIBM PowerVC 1.2.0.0\u7248\u672c\u81f31.2.0.3\u7248\u672c\u548c1.2.1.0\u7248\u672c\u81f31.2.1.2\u7248\u672c\u7684powervc-iso-import\u547d\u4ee4\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u7ba1\u7406IVM\u548cPowerKVM\u671f\u95f4\uff0c\u547d\u4ee4\u884c\u4e2d\u5b58\u5728\u8bbf\u95ee\u4ee4\u724c\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5217\u51fa\u8fdb\u7a0b\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
"discovererName": "IBM",
"formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u7ecf\u53d1\u5e03\u4e86\u5347\u7ea7\u8865\u4e01\u4ee5\u4fee\u590d\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u8865\u4e01\u83b7\u53d6\u94fe\u63a5\uff1a\r\nhttp://www-01.ibm.com/support/docview.wss?uid=nas8N1020608",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2015-01947",
"openTime": "2015-03-25",
"patchDescription": "IBM PowerVC\u662f\u7f8e\u56fdIBM\u516c\u53f8\u7684\u4e00\u5957\u865a\u62df\u5316\u7ba1\u7406\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u65b9\u6848\u652f\u6301\u865a\u62df\u7cfb\u7edf\u7ba1\u7406\u3001\u865a\u62df\u56fe\u50cf\u7ba1\u7406\u548c\u90e8\u7f72\u3001\u4ee5\u53ca\u865a\u62df\u5de5\u4f5c\u8d1f\u8f7d\u7ba1\u7406\u7b49\u3002\r\nIBM PowerVC 1.2.0.0\u7248\u672c\u81f31.2.0.3\u7248\u672c\u548c1.2.1.0\u7248\u672c\u81f31.2.1.2\u7248\u672c\u7684powervc-iso-import\u547d\u4ee4\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u7ba1\u7406IVM\u548cPowerKVM\u671f\u95f4\uff0c\u547d\u4ee4\u884c\u4e2d\u5b58\u5728\u8bbf\u95ee\u4ee4\u724c\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u5217\u51fa\u8fdb\u7a0b\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002\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": "IBM PowerVC\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": [
"IBM PowerVC Standard 1.2.0.x(\u003c1.2.0.4)",
"IBM PowerVC Standard 1.2.1.x(\u003c1.2.2)"
]
},
"referenceLink": "http://www-01.ibm.com/support/docview.wss?uid=nas8N1020608\r\nhttps://web.nvd.nist.gov/view/vuln/detail?vulnId=CVE-2015-0136",
"serverity": "\u4f4e",
"submitTime": "2015-03-24",
"title": "IBM PowerVC\u4fe1\u606f\u6cc4\u9732\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.