Vulnerability-Lookup

VAR-201711-0948

Vulnerability from variot - Updated: 2025-04-20 23:25

The Bastet of some Huawei mobile phones with software of earlier than MHA-AL00BC00B231 versions has a DOS vulnerability due to the lack of parameter validation. An attacker may trick a user into installing a malicious APP. The APP can modify specific parameter to cause system reboot. HuaweiMHA-AL00A is a smartphone product from China's Huawei company. Bastet is one of the communication drivers. Huawei MHA-AL00A is a smart phone product of China Huawei (Huawei)

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CVE-2017-8186 (GCVE-0-2017-8186)

Vulnerability from cvelistv5 – Published: 2017-11-22 19:00 – Updated: 2024-09-17 02:42

Summary

Severity

No CVSS data available.

CWE

Assigner

huawei CNA under the mitre root

CNA scorecard D 57/100 over 60 records in the last 180 days details

References

1 reference

URL	Tags
http://www.huawei.com/en/psirt/security-advisorie…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Huawei Technologies Co., Ltd.	MHA-AL00A	Affected: Earlier than MHA-AL00BC00B231 versions

Date Public

2017-11-15 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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