Vulnerability-Lookup

CNVD-2018-24378

Vulnerability from cnvd - Published: 2018-11-30

Title

Google Cardboard信息泄露漏洞

Description

Google Cardboard application是美国谷歌（Google）公司的一款VR应用程序。基于Android平台的Google Cardboard application 1.8版本和基于iOS平台的1.2版本中存在安全漏洞。攻击者可利用该漏洞获取敏感信息。

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://vr.google.com/cardboard/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2018-19111

Impacted products

Name
Google Cardboard application 1.8

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2018-19111",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2018-19111"
    }
  },
  "description": "Google Cardboard application\u662f\u7f8e\u56fd\u8c37\u6b4c\uff08Google\uff09\u516c\u53f8\u7684\u4e00\u6b3eVR\u5e94\u7528\u7a0b\u5e8f\u3002\n\n\u57fa\u4e8eAndroid\u5e73\u53f0\u7684Google Cardboard application 1.8\u7248\u672c\u548c\u57fa\u4e8eiOS\u5e73\u53f0\u76841.2\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\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://vr.google.com/cardboard/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-24378",
  "openTime": "2018-11-30",
  "products": {
    "product": "Google Cardboard application 1.8"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2018-19111",
  "serverity": "\u4e2d",
  "submitTime": "2018-11-12",
  "title": "Google Cardboard\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2018-19111 (GCVE-0-2018-19111)

Vulnerability from cvelistv5 – Published: 2018-11-08 08:00 – Updated: 2024-08-05 11:30

Summary

The Google Cardboard application 1.8 for Android and 1.2 for iOS sends potentially private cleartext information to the Unity 3D Stats web site, as demonstrated by device make, model, and OS.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://www.info-sec.ca/advisories/Google-Cardboa…	x_refsource_MISC

Date Public

2018-11-08 00:00

Show details on NVD website

JSON

To clipboard

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              "x_transferred"
            ],
            "url": "https://www.info-sec.ca/advisories/Google-Cardboard.html"
          }
        ],
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          "url": "https://www.info-sec.ca/advisories/Google-Cardboard.html"
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  "cveMetadata": {
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    "state": "PUBLISHED"
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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.

Detection rules are retrieved from Rulezet.

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.

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.