Vulnerability-Lookup

VAR-202005-0604

Vulnerability from variot - Updated: 2024-11-23 22:41

Ayision Ays-WR01 v28K.RPT.20161224 devices allow stored XSS in wireless settings. Ayision Ays-WR01 A cross-site scripting vulnerability exists in the device.Information may be obtained and tampered with. Ayision Ays-WR01 is a wireless repeater of Ayision company in China. The vulnerability stems from the fact that when the network system or product performs operations on the memory, the data boundary is not correctly verified, resulting in incorrect read and write operations to other associated memory locations. Attackers can use this vulnerability to cause buffer overflow or heap overflow

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CVE-2019-19515 (GCVE-0-2019-19515)

Vulnerability from cvelistv5 – Published: 2020-05-05 17:01 – Updated: 2024-08-05 02:16

Summary

Ayision Ays-WR01 v28K.RPT.20161224 devices allow stored XSS in wireless settings.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2261 records in the last 180 days details

References

1 reference

URL	Tags
https://gist.github.com/CyberSecurityUP/26c5b0328…	x_refsource_MISC

Show details on NVD website

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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

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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