VAR-201601-0421
Vulnerability from variot - Updated: 2025-04-13 23:29Buffer overflow in the HIFI driver in Huawei P8 phones with software GRA-TL00 before GRA-TL00C01B230, GRA-CL00 before GRA-CL00C92B230, GRA-CL10 before GRA-CL10C92B230, GRA-UL00 before GRA-UL00C00B230, and GRA-UL10 before GRA-UL10C00B230 allows attackers to cause a denial of service (system crash) or execute arbitrary code via an unspecified parameter. HuaweiP8 is a smartphone product of China Huawei. HIFIdriver is one of the HIFI sound drivers. Huawei P8 Smart Phone is prone to a local privilege-escalation vulnerability. Local attackers can exploit this issue to crash the system or escalate user privilege. The following versions are affected: Huawei P8 using software versions prior to GRA-TL00C01B230, versions prior to GRA-CL00C92B230, versions prior to GRA-CL10C92B230, versions prior to GRA-UL00C00B230, and versions prior to GRA-UL10C00B230
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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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