Vulnerability-Lookup

VAR-201708-1064

Vulnerability from variot - Updated: 2025-04-20 23:36

Multiple untrusted search path vulnerabilities in installer in Synology Photo Station Uploader before 1.4.2-084 on Windows allows local attackers to execute arbitrary code and conduct DLL hijacking attack via a Trojan horse (1) shfolder.dll, (2) ntmarta.dll, (3) secur32.dll or (4) dwmapi.dll file in the current working directory. Windows Run on Synology Photo Station Uploader Contains an unreliable search path vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. Synology Photo Station Uploader for Windows is a set of solutions from Synology for sharing pictures, videos and blogs on the Internet

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CVE-2017-11159 (GCVE-0-2017-11159)

Vulnerability from cvelistv5 – Published: 2017-08-23 15:00 – Updated: 2024-09-16 17:54

Summary

Severity

No CVSS data available.

CWE

CWE-427 - Uncontrolled Search Path Element (CWE-427)

Assigner

synology CNA under the mitre root

CNA scorecard C 67/100 over 46 records in the last 180 days details

References

1 reference

URL	Tags
https://www.synology.com/en-global/support/securi…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Synology	Photo Station Uploader	Affected: before 1.4.2-084

Date Public

2017-08-23 00:00

Show details on NVD website

JSON

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                  "value": "Uncontrolled Search Path Element (CWE-427)"
                }
              ]
            }
          ]
        },
        "references": {
          "reference_data": [
            {
              "name": "https://www.synology.com/en-global/support/security/Synology_SA_17_45_Photo_Station_Uploader",
              "refsource": "CONFIRM",
              "url": "https://www.synology.com/en-global/support/security/Synology_SA_17_45_Photo_Station_Uploader"
            }
          ]
        }
      }
    }
  },
  "cveMetadata": {
    "assignerOrgId": "db201096-a0cc-46c7-9a55-61d9e221bf01",
    "assignerShortName": "synology",
    "cveId": "CVE-2017-11159",
    "datePublished": "2017-08-23T15:00:00.000Z",
    "dateReserved": "2017-07-10T00:00:00.000Z",
    "dateUpdated": "2024-09-16T17:54:53.148Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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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