VAR-201711-0229
Vulnerability from variot - Updated: 2025-04-20 23:30HUAWEI P9 smartphones with software versions earlier before EVA-L09C432B383, versions earlier before EVA-L09C636B380, versions earlier before VIE-L09C432B370, versions earlier before VIE-L29C636B370 have an insufficient input validation vulnerability. An attacker could exploit this vulnerability to tamper with air interface signaling messages and obtain some communication information. HUAWEI P9 Smartphone software contains a vulnerability related to input validation.Information may be obtained and information may be altered. HuaweiP9 is a smartphone from Huawei. The HuaweiP9 has an input verification vulnerability. The Huawei P9 is a smartphone from the Chinese company Huawei. Audio driver is one of the audio drivers. There is a security vulnerability in Huawei P9, the vulnerability is caused by the program not adequately validating the fields in the message
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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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.
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.
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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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