Vulnerability-Lookup

CNVD-2018-00675

Vulnerability from cnvd - Published: 2018-01-10

Title

Elemental Path's CogniToys Dino信息泄露漏洞

Description

Elemental Path's CogniToys Dino是美国Elemental Path's公司的一款能够与儿童进行语音交流的智能玩具。使用0.0.794及之前版本固件的Elemental Path CogniToys Dino中存在信息泄露漏洞。攻击者可利用该漏洞将Dino和远程服务器之间的VoIP流量重播到任意其他的Dino设备。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://cognitoys.com/products/cognitoys-dino

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-8865

Impacted products

Name
Elemental Path's Cogni Toys Dino <=0.0.794

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-8865"
    }
  },
  "description": "Elemental Path\u0027s CogniToys Dino\u662f\u7f8e\u56fdElemental Path\u0027s\u516c\u53f8\u7684\u4e00\u6b3e\u80fd\u591f\u4e0e\u513f\u7ae5\u8fdb\u884c\u8bed\u97f3\u4ea4\u6d41\u7684\u667a\u80fd\u73a9\u5177\u3002\r\n\r\n\u4f7f\u75280.0.794\u53ca\u4e4b\u524d\u7248\u672c\u56fa\u4ef6\u7684Elemental Path CogniToys Dino\u4e2d\u5b58\u5728\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5c06Dino\u548c\u8fdc\u7a0b\u670d\u52a1\u5668\u4e4b\u95f4\u7684VoIP\u6d41\u91cf\u91cd\u64ad\u5230\u4efb\u610f\u5176\u4ed6\u7684Dino\u8bbe\u5907\u3002",
  "discovererName": "unknwon",
  "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://cognitoys.com/products/cognitoys-dino",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-00675",
  "openTime": "2018-01-10",
  "products": {
    "product": "Elemental Path\u0027s Cogni Toys Dino \u003c=0.0.794"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-8865",
  "serverity": "\u4e2d",
  "submitTime": "2017-12-12",
  "title": "Elemental Path\u0027s CogniToys Dino\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2017-8865 (GCVE-0-2017-8865)

Vulnerability from cvelistv5 – Published: 2017-12-11 21:00 – Updated: 2024-08-05 16:48

Summary

Elemental Path's CogniToys Dino smart toys through firmware version 0.0.794 do not provide sufficient protections against capture-replay attacks, allowing an attacker on the network to replay VoIP traffic between a Dino device and remote server to any other Dino device.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://dl.acm.org/citation.cfm?id=3139947	x_refsource_MISC

Date Public

2017-11-03 00:00

Show details on NVD website

JSON

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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.