Vulnerability-Lookup

GSD-2017-8865

Vulnerability from gsd - Updated: 2023-12-13 01:21

Details

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.

Aliases

CVE-2017-8865

Aliases

CVE-2017-8865

JSON

To clipboard

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    "alias": "CVE-2017-8865",
    "description": "Elemental Path\u0027s 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.",
    "id": "GSD-2017-8865"
  },
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      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
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      "lastModifiedDate": "2018-01-04T16:23Z",
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}

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

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

Summary

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

To clipboard

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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.