CVE-2023-45038 (GCVE-0-2023-45038)

Vulnerability from cvelistv5 – Published: 2024-09-06 16:26 – Updated: 2024-09-06 17:44
VLAI Shadowserver Previdian
Title
Music Station
Summary
An improper authentication vulnerability has been reported to affect Music Station. If exploited, the vulnerability could allow users to compromise the security of the system via a network. We have already fixed the vulnerability in the following version: Music Station 5.4.0 and later
Severity
4.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:L/I:N/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-09-06 17:44 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
QNAP Systems Inc. Music Station Affected: 5.4.x , < 5.4.0 (custom)
guessed Create a notification for this product.
Credits
Thomas Fady
Shadowserver
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: a6284218-8593-48a2-84a3-e8a056913cd6

Vulnerability ID: CVE-2023-45038

Status: Confirmed

Status Updated: 2026-09-06 00:00 UTC

Exploited: Yes

Characteristics
Severity: 88.0
Timestamps
First Seen: 2025-08-16
Asserted: 2025-08-16
Last Seen: 2026-09-06
Scope
Asset Exposure: ['internet-facing']
Notes: Affected: QNAP / QNAP Music Station | Class: nas | Severity: High (CVSS 8.8) | IoT: yes | In CISA KEV: no | Honeypot connections on 2026-09-06: 1
Evidence

Type: Honeypot

Signal: In The Wild Attempts

Confidence: 70%

Source: shadowserver

Details
1D 1
Iot yes
Feed Shadowserver Foundation honeypot/exploited-vulnerabilities
Type http-scan
Class nas
7D Avg 1
Vendor QNAP
30D Avg 0
90D Avg 0
Product QNAP Music Station
Cisa Kev no
Connections 1
Observation Date 2026-09-06
Vulnerability Class CVSS
Vulnerability Score 8.8
Vulnerability Severity High
References
Created: 2026-07-01 05:54 UTC | Updated: 2026-09-08 01:02 UTC
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 5043b6f2-5497-4037-a012-613a153331c4

Vulnerability ID: CVE-2023-45038

Status: Confirmed

Status Updated: 2025-08-21 00:00 UTC

Exploited: Yes

Timestamps
First Seen: 2025-08-21
Asserted: 2025-08-21
Scope
Notes: KEVIntel entry: Music Station | Affected: QNAP Systems Inc. / Music Station | CVSS: 4.3 (MEDIUM) | Used in malware: unknown | Not yet in CISA KEV: True
Evidence

Type: Public Report

Signal: Successful Exploitation

Confidence: 70%

Source: kevintel

Details
Feed KEVIntel (kevintel.com)
Title Music Station
Vendor QNAP Systems Inc.
Product Music Station
Added Date 2025-08-21T00:00:00.000Z
Cvss Score 4.3
Epss Score None
Cvss Severity MEDIUM
Epss Percentile None
Used In Malware unknown
Ahead Of Cisa Kev None
Not Yet In Cisa Kev True
References
Created: 2026-06-23 11:12 UTC | Updated: 2026-06-23 11:12 UTC
Show details on NVD website
To clipboard 

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Tags
Taxonomy of the tags.





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.


Detection rules are retrieved from Rulezet.


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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.