Vulnerability-Lookup

GSD-2020-28713

Vulnerability from gsd - Updated: 2023-12-13 01:22

Details

Incorrect access control in push notification service in Night Owl Smart Doorbell FW version 20190505 allows remote users to send push notification events via an exposed PNS server. A remote attacker can passively record push notification events which are sent over an insecure web request. The web service does not authenticate requests, and allows attackers to send an indefinite amount of motion or doorbell events to a user's mobile application by either replaying or deliberately crafting false events.

Aliases

CVE-2020-28713

Aliases

CVE-2020-28713

JSON

To clipboard

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CVE-2020-28713 (GCVE-0-2020-28713)

Vulnerability from cvelistv5 – Published: 2021-06-08 18:57 – Updated: 2024-08-04 16:40

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2350 records in the last 180 days details

References

2 references

URL	Tags
https://gist.github.com/tj-oconnor/dbfbef4d3b271d…	x_refsource_MISC
https://cloud.binary.ninja/embed/26671c64-6859-48…	x_refsource_MISC

Date Public

2021-02-04 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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.

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.

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