VAR-201705-1958
Vulnerability from variot - Updated: 2025-04-20 23:27The GPU driver in Huawei P7 phones with software P7-L00 before P7-L00C17B851, P7-L05 before P7-L05C00B851, and P7-L09 before P7-L09C92B851 allows local users to read or write to arbitrary kernel memory locations and consequently cause a denial of service (system crash) or gain privileges via a crafted application. HuaweiP7 is a smartphone from China's Huawei company. GPUdriver is a graphics processor driver used in it. The GPU driver in HuaweiP7 has a privilege escalation vulnerability that stems from the GPU's failure to adequately verify the validity of incoming parameters. A local attacker can use this vulnerability to spoof a user to install a malicious application to read and modify the memory address of the product, causing a system crash or privilege escalation. Huawei P7 is prone to a local privilege-escalation vulnerability. Local attackers may exploit this issue to gain elevated privileges. The following versions are affected: Huawei P7 versions prior to P7-L00C17B851, versions prior to P7-L05C00B851, versions prior to P7-L09C92B851
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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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