Vulnerability-Lookup

VAR-201509-0201

Vulnerability from variot - Updated: 2025-04-13 23:21

Cross-site scripting (XSS) vulnerability in the "Create download task via file upload" feature in Synology Download Station before 3.5-2962 allows remote attackers to inject arbitrary web script or HTML via the name element in the Info dictionary in a torrent file. Synology Download Station is a set of web-based download applications from Synology. The program supports protocols such as BT, FTP and HTTP to download files

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CVE-2015-6909 (GCVE-0-2015-6909)

Vulnerability from cvelistv5 – Published: 2015-09-11 16:00 – Updated: 2024-08-06 07:36

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 28/100 over 2325 records in the last 180 days details

References

6 references

URL	Tags
http://www.securityfocus.com/archive/1/536428/100…	mailing-listx_refsource_BUGTRAQ
http://packetstormsecurity.com/files/133520/Synol…	x_refsource_MISC
https://www.synology.com/en-global/releaseNote/Do…	x_refsource_CONFIRM
https://www.securify.nl/advisory/SFY20150809/mult…	x_refsource_MISC
https://www.synology.com/en-global/support/securi…	x_refsource_CONFIRM
http://seclists.org/fulldisclosure/2015/Sep/32	mailing-listx_refsource_FULLDISC

Date Public

2015-09-09 00:00

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

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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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