CNVD-2019-23987
Vulnerability from cnvd - Published: 2019-07-23
VLAI
Title
Dropbox desktop application信息泄露漏洞
Description
Dropbox desktop application是美国Dropbox公司的一款开源的、跨平台的文件在线存储、同步、共享应用程序。
Dropbox desktop application 71.4.108.0版本中存在安全漏洞,该漏洞源于在完成登录或创建新账户时,Dropbox.exe文件(和Web Helper中的QtWebEngineProcess.exe文件)会将明文形式的凭证存储在内存中。攻击者可利用该漏洞完全控制账户。
Severity
中
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.dropbox.com/
Reference
https://nvd.nist.gov/vuln/detail/CVE-2019-12171
Impacted products
| Name | Dropbox Dropbox desktop application 71.4.108.0 |
|---|
{
"cves": {
"cve": {
"cveNumber": "CVE-2019-12171"
}
},
"description": "Dropbox desktop application\u662f\u7f8e\u56fdDropbox\u516c\u53f8\u7684\u4e00\u6b3e\u5f00\u6e90\u7684\u3001\u8de8\u5e73\u53f0\u7684\u6587\u4ef6\u5728\u7ebf\u5b58\u50a8\u3001\u540c\u6b65\u3001\u5171\u4eab\u5e94\u7528\u7a0b\u5e8f\u3002\n\nDropbox desktop application 71.4.108.0\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u5b8c\u6210\u767b\u5f55\u6216\u521b\u5efa\u65b0\u8d26\u6237\u65f6\uff0cDropbox.exe\u6587\u4ef6\uff08\u548cWeb Helper\u4e2d\u7684QtWebEngineProcess.exe\u6587\u4ef6\uff09\u4f1a\u5c06\u660e\u6587\u5f62\u5f0f\u7684\u51ed\u8bc1\u5b58\u50a8\u5728\u5185\u5b58\u4e2d\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b8c\u5168\u63a7\u5236\u8d26\u6237\u3002",
"discovererName": "unknwon",
"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.dropbox.com/",
"isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
"number": "CNVD-2019-23987",
"openTime": "2019-07-23",
"products": {
"product": "Dropbox Dropbox desktop application 71.4.108.0"
},
"referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-12171",
"serverity": "\u4e2d",
"submitTime": "2019-07-09",
"title": "Dropbox desktop application\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.