Vulnerability-Lookup

VAR-201806-0711

Vulnerability from variot - Updated: 2023-12-18 12:28

An issue was discovered on Momentum Axel 720P 5.1.8 devices. Root access can be obtained via UART pins without any restrictions, which leads to full system compromise. Momentum Axel 720P Contains vulnerabilities related to authorization, permissions, and access control.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. The MomentumAxel720P is a dual-band HD camera that supports WiFi connectivity. There is a security vulnerability in the MomentumAxel720P5.1.8 release. The attacker can use the UARTpin code to exploit the vulnerability to gain root privileges, thus giving complete control of the system

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CVE-2018-12259 (GCVE-0-2018-12259)

Vulnerability from cvelistv5 – Published: 2018-06-12 18:00 – Updated: 2024-09-16 17:24

Summary

An issue was discovered on Momentum Axel 720P 5.1.8 devices. Root access can be obtained via UART pins without any restrictions, which leads to full system compromise.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://rchase.com/downloads/momentum-iot-penetra…	x_refsource_MISC

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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.