Vulnerability-Lookup

VAR-201704-0395

Vulnerability from variot - Updated: 2025-04-20 23:26

Huawei P7 before P7-L00C17B851, P7-L05C00B851, and P7-L09C92B851 and P8 ALE-UL00 before ALE-UL00B211 allows local users to cause a denial of service (OS crash) via vectors involving an application that passes crafted input to the GPU driver. HuaweiP7 and P8 Youth Edition are both Huawei's smartphone devices. GPUdriver is one of the graphics drivers. A refusal service vulnerability exists in the GPU drivers in HuaweiP7 and P8 Youth. An attacker could exploit the vulnerability to trick the phone system into crashes by tricking the user into installing a malicious application and entering an illegal parameter into the product's graphics processing unit (GPU) driver. The following products and versions are affected: Huawei P7-L00C17B851 earlier, P7-L05C00B851 earlier, P7-L09C92B851 earlier; P8 Youth Edition ALE-UL00B211 earlier

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CVE-2015-7740 (GCVE-0-2015-7740)

Vulnerability from cvelistv5 – Published: 2017-04-13 14:00 – Updated: 2024-08-06 07:58

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 29/100 over 2193 records in the last 180 days details

References

1 reference

URL	Tags
http://www1.huawei.com/en/security/psirt/security…	x_refsource_CONFIRM

Date Public

2015-11-06 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

Order JSON

How durations are calculated

Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.

Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.

Publication & reservation Sightings KEV catalogs Other timestamps

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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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