Vulnerability-Lookup

VAR-201701-0790

Vulnerability from variot - Updated: 2025-04-20 23:29

Samsung Note devices with KK(4.4), L(5.0/5.1), and M(6.0) software allow attackers to crash the system by creating an arbitrarily large number of active VR service threads. The Samsung ID is SVE-2016-7650. Samsung Note There is a vulnerability in the device software that can cause a system crash. SamsungNote is a smartphone released by South Korea's Samsung. Multiple Samsung Android Mobile devices are prone to a denial-of-service vulnerability. An attacker can exploit this issue to crash the system, resulting in denial-of-service conditions

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CVE-2017-5351 (GCVE-0-2017-5351)

Vulnerability from cvelistv5 – Published: 2017-01-12 06:06 – Updated: 2024-08-05 14:55

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 29/100 over 2230 records in the last 180 days details

References

2 references

URL	Tags
http://security.samsungmobile.com/smrupdate.html#…	x_refsource_CONFIRM
http://www.securityfocus.com/bid/95418	vdb-entryx_refsource_BID

Date Public

2017-01-11 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

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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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