VAR-201611-0179
Vulnerability from variot - Updated: 2025-04-12 23:31A vulnerability on Samsung Mobile M(6.0) devices exists because external access to SystemUI activities is not properly restricted, leading to a SystemUI crash and device restart, aka SVE-2016-6248. Vendors have confirmed this vulnerability SVE-2016-6248 It is released as. Supplementary information : CWE Vulnerability type by CWE-476: NULL Pointer Dereference (NULL Pointer dereference ) Has been identified. http://cwe.mitre.org/data/definitions/476.htmlService operation interruption (SystemUI Crash and device restart ) There is a possibility of being put into a state. SamsungMobile is a series of smart mobile devices released by South Korea's Samsung. The Samsung MobileL 5.0 and 5.1 and M6.0 devices use the Exynos 7420 chipset for a denial of service vulnerability. An attacker could exploit the vulnerability to cause a denial of service
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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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