CNVD-2021-95145
Vulnerability from cnvd - Published: 2021-12-07
VLAI
Title
IBM OpenPages with Watson任意代码执行漏洞
Description
IBM OpenPages with Watson是一个AI驱动的金融风险分析解决方案。该平台基于AI技术来预测风险系数,将风险数据通过集成、自动识别、测量、监控、分析、管理等步骤将金融活动中的风险最小化。
IBM OpenPages with Watson中存在安全漏洞,该漏洞源于允许经过身份验证的用户上传文件,从而在系统上执行任意代码。 攻击者可利用该漏洞通过上传文件导致任意代码执行。
Severity
中
Patch Name
IBM OpenPages with Watson任意代码执行漏洞的补丁
Patch Description
IBM OpenPages with Watson是一个AI驱动的金融风险分析解决方案。该平台基于AI技术来预测风险系数,将风险数据通过集成、自动识别、测量、监控、分析、管理等步骤将金融活动中的风险最小化。
IBM OpenPages with Watson中存在安全漏洞,该漏洞源于允许经过身份验证的用户上传文件,从而在系统上执行任意代码。攻击者可利用该漏洞通过上传文件导致任意代码执行。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://www.ibm.com/support/pages/node/6483607
Reference
https://nvd.nist.gov/vuln/detail/CVE-2021-29907
Impacted products
| Name | ['IBM OpenPages with Watson >=8.1,<8.1.0.2.1', 'IBM OpenPages with Watson >=8.2,<8.2.0.2'] |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2021-29907",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-29907"
}
},
"description": "IBM OpenPages with Watson\u662f\u4e00\u4e2aAI\u9a71\u52a8\u7684\u91d1\u878d\u98ce\u9669\u5206\u6790\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u5e73\u53f0\u57fa\u4e8eAI\u6280\u672f\u6765\u9884\u6d4b\u98ce\u9669\u7cfb\u6570\uff0c\u5c06\u98ce\u9669\u6570\u636e\u901a\u8fc7\u96c6\u6210\u3001\u81ea\u52a8\u8bc6\u522b\u3001\u6d4b\u91cf\u3001\u76d1\u63a7\u3001\u5206\u6790\u3001\u7ba1\u7406\u7b49\u6b65\u9aa4\u5c06\u91d1\u878d\u6d3b\u52a8\u4e2d\u7684\u98ce\u9669\u6700\u5c0f\u5316\u3002\n\nIBM OpenPages with Watson\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5141\u8bb8\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u7528\u6237\u4e0a\u4f20\u6587\u4ef6\uff0c\u4ece\u800c\u5728\u7cfb\u7edf\u4e0a\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002 \u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u4e0a\u4f20\u6587\u4ef6\u5bfc\u81f4\u4efb\u610f\u4ee3\u7801\u6267\u884c\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\uff1a\r\nhttps://www.ibm.com/support/pages/node/6483607",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2021-95145",
"openTime": "2021-12-07",
"patchDescription": "IBM OpenPages with Watson\u662f\u4e00\u4e2aAI\u9a71\u52a8\u7684\u91d1\u878d\u98ce\u9669\u5206\u6790\u89e3\u51b3\u65b9\u6848\u3002\u8be5\u5e73\u53f0\u57fa\u4e8eAI\u6280\u672f\u6765\u9884\u6d4b\u98ce\u9669\u7cfb\u6570\uff0c\u5c06\u98ce\u9669\u6570\u636e\u901a\u8fc7\u96c6\u6210\u3001\u81ea\u52a8\u8bc6\u522b\u3001\u6d4b\u91cf\u3001\u76d1\u63a7\u3001\u5206\u6790\u3001\u7ba1\u7406\u7b49\u6b65\u9aa4\u5c06\u91d1\u878d\u6d3b\u52a8\u4e2d\u7684\u98ce\u9669\u6700\u5c0f\u5316\u3002\r\n\r\nIBM OpenPages with Watson\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5141\u8bb8\u7ecf\u8fc7\u8eab\u4efd\u9a8c\u8bc1\u7684\u7528\u6237\u4e0a\u4f20\u6587\u4ef6\uff0c\u4ece\u800c\u5728\u7cfb\u7edf\u4e0a\u6267\u884c\u4efb\u610f\u4ee3\u7801\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u4e0a\u4f20\u6587\u4ef6\u5bfc\u81f4\u4efb\u610f\u4ee3\u7801\u6267\u884c\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 OpenPages with Watson\u4efb\u610f\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e\u7684\u8865\u4e01",
"products": {
"product": [
"IBM OpenPages with Watson \u003e=8.1\uff0c\u003c8.1.0.2.1",
"IBM OpenPages with Watson \u003e=8.2\uff0c\u003c8.2.0.2"
]
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-29907",
"serverity": "\u4e2d",
"submitTime": "2021-11-26",
"title": "IBM OpenPages with Watson\u4efb\u610f\u4ee3\u7801\u6267\u884c\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.