Vulnerability Monitor

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CVE-2025-5148


A vulnerability was found in FunAudioLLM InspireMusic up to bf32364bcb0d136497ca69f9db622e9216b029dd. It has been classified as critical. Affected is the function load_state_dict of the file inspiremusic/cli/model.py of the component Pickle Data Handler. The manipulation leads to deserialization. An attack has to be approached locally. This product is using a rolling release to provide continious delivery. Therefore, no version details for affected nor updated releases are available. The name of the patch is 784cbf8dde2cf1456ff808aeba23177e1810e7a9. It is recommended to apply a patch to fix this issue.


Security Impact Summary

This vulnerability carries a MEDIUM severity rating with a CVSS v3.1 score of 5.3, requiring local system access to exploit with relatively low complexity without requiring user interaction requiring only low-level privileges . The vulnerability impacts limited data confidentiality, limited integrity, and limited availability for affected systems.

Historical Context

Reported in 2025, this vulnerability emerged during an era marked by increased sophistication in supply chain attacks, cloud infrastructure vulnerabilities, and software-as-a-service (SaaS) security challenges. Security practices during this period emphasized zero-trust architectures, container security, and API protection.


Published

2025-05-25T12:15:20.417

Last Modified

2026-04-15T00:35:42.020

Status

Deferred

Source

[email protected]

Severity

CVSSv3.1: 5.3 (MEDIUM)

CVSSv2 Vector

AV:L/AC:L/Au:S/C:P/I:P/A:P

  • Access Vector: LOCAL
  • Access Complexity: LOW
  • Authentication: SINGLE
  • Confidentiality Impact: PARTIAL
  • Integrity Impact: PARTIAL
  • Availability Impact: PARTIAL
Exploitability Score

3.1

Impact Score

6.4

Weaknesses
  • Type: Secondary
    CWE-20
    CWE-502

Affected Vendors & Products

-


References

How SecUtils Interprets This CVE

SecUtils normalizes and enriches National Vulnerability Database (NVD) records by standardizing vendor and product identifiers, aggregating vulnerability metadata from both NVD and MITRE sources, and providing structured context for security teams. For affected software, we extract Common Platform Enumeration (CPE) data, Common Weakness Enumeration (CWE) classifications, CVSS severity metrics, and reference data to enable rapid vulnerability prioritization and asset correlation. This record contains no exploit code, proof-of-concept instructions, or attack methodologies—only defensive intelligence necessary for patch management, risk assessment, and security operations.