CNVD-2020-37911
Vulnerability from cnvd - Published: 2020-07-09
VLAI
Title
apiconnect-cli-plugins命令注入漏洞
Description
apiconnect-cli-plugins是一款用于IBM API Connect的开发工具包插件。
apiconnect-cli-plugins 6.0.1及之前版本中存在注入漏洞。攻击者可借助‘pluginUri’参数利用该漏洞执行任意命令。
Severity
高
Formal description
目前厂商暂未发布修复措施解决此安全问题,建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法: https://www.npmjs.com/package/apiconnect-cli-plugins
Reference
https://nvd.nist.gov/vuln/detail/CVE-2020-7633
Impacted products
| Name | apiconnect-cli-plugins apiconnect-cli-plugins <=6.0.1 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2020-7633"
}
},
"description": "apiconnect-cli-plugins\u662f\u4e00\u6b3e\u7528\u4e8eIBM API Connect\u7684\u5f00\u53d1\u5de5\u5177\u5305\u63d2\u4ef6\u3002\n\napiconnect-cli-plugins 6.0.1\u53ca\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u6ce8\u5165\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u501f\u52a9\u2018pluginUri\u2019\u53c2\u6570\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u4efb\u610f\u547d\u4ee4\u3002",
"formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://www.npmjs.com/package/apiconnect-cli-plugins",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2020-37911",
"openTime": "2020-07-09",
"products": {
"product": "apiconnect-cli-plugins apiconnect-cli-plugins \u003c=6.0.1"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-7633",
"serverity": "\u9ad8",
"submitTime": "2020-04-07",
"title": "apiconnect-cli-plugins\u547d\u4ee4\u6ce8\u5165\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
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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.
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.
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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.