Vulnerability-Lookup

VAR-201905-0846

Vulnerability from variot - Updated: 2023-12-18 13:18

An exploitable denial-of-service vulnerability exists in the XML_GetScreen Wi-Fi command of the NT9665X Chipset firmware, running on the Anker Roav A1 Dashcam, version RoavA1SWV1.9. A specially crafted set of packets can cause an invalid memory dereference, resulting in a device reboot. Anker Roav A1 Dashcam Contains an input validation vulnerability.Service operation interruption (DoS) There is a possibility of being put into a state. Novatek NT9665X Chipset is a chip for camera equipment. The vulnerability stems from the failure of the network system or product to properly validate the input data

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CVE-2018-4026 (GCVE-0-2018-4026)

Vulnerability from cvelistv5 – Published: 2019-05-13 15:24 – Updated: 2024-08-05 05:04

Summary

Severity

7.5 (High)


                        
                          CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

CWE

denial of service

Assigner

talos mitre root

References

1 reference

URL	Tags
https://talosintelligence.com/vulnerability_repor…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
n/a	Novatek	Affected: Anker Roav A1 Dashcam RoavA1SWV1.9

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.