CNVD-2022-60662
Vulnerability from cnvd - Published: 2022-09-01
VLAI
Title
Digital Guardian Agent信息泄露漏洞
Description
Digital Guardian Agent是美国Digital Guardian公司的一个广泛应用于云环境的数据保护平台。可发现、分类和控制跨端点、网络和云的数据移动。
Digital Guardian Agent 7.7.4.0042版本存在信息泄露漏洞,该漏洞源于管理员禁用某些代理功能后将文件泄露到外部USB设备。攻击者可利用该漏洞获取敏感信息。
Severity
低
Formal description
厂商尚未提供漏洞修复方案,请关注厂商主页更新: https://digitalguardian.com/
Reference
https://github.com/i014n/DigitalGuardian-DLP-Agent-vulnerability
Impacted products
| Name | Digital Guardian Digital Guardian Agent 7.7.4.0042 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2022-35412",
"cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-35412"
}
},
"description": "Digital Guardian Agent\u662f\u7f8e\u56fdDigital Guardian\u516c\u53f8\u7684\u4e00\u4e2a\u5e7f\u6cdb\u5e94\u7528\u4e8e\u4e91\u73af\u5883\u7684\u6570\u636e\u4fdd\u62a4\u5e73\u53f0\u3002\u53ef\u53d1\u73b0\u3001\u5206\u7c7b\u548c\u63a7\u5236\u8de8\u7aef\u70b9\u3001\u7f51\u7edc\u548c\u4e91\u7684\u6570\u636e\u79fb\u52a8\u3002\n\nDigital Guardian Agent 7.7.4.0042\u7248\u672c\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7ba1\u7406\u5458\u7981\u7528\u67d0\u4e9b\u4ee3\u7406\u529f\u80fd\u540e\u5c06\u6587\u4ef6\u6cc4\u9732\u5230\u5916\u90e8USB\u8bbe\u5907\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u3002",
"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://digitalguardian.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2022-60662",
"openTime": "2022-09-01",
"products": {
"product": "Digital Guardian Digital Guardian Agent 7.7.4.0042"
},
"referenceLink": "https://github.com/i014n/DigitalGuardian-DLP-Agent-vulnerability",
"serverity": "\u4f4e",
"submitTime": "2022-07-12",
"title": "Digital Guardian Agent\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}
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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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Vulnerability timeline
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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.