CVE-2025-55521

MediumCVSS 6.5/10Last modified Jun 17, 2026

Description

An issue in the component /settings/localisation of Akaunting v3.1.18 allows authenticated attackers to cause a Denial of Service (DoS) via a crafted POST request.

Metrics

CVSS 3.1 6.5/10CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

Weakness enumeration

CWE-400

Affected software

No affected versions have been published.

Timeline

Published: Aug 21, 2025
Last modified: Jun 17, 2026
NVD status: Analyzed

Related CVEs from 2025

CVE-2025-555226.5Cross-site scripting (XSS) vulnerability in the component /common/reports of Akaunting v3.1.18 allows attackers to execute arbitrary web scr CVE-2025-555233.5An issue in the component /api/download_work_dir_file.py of Agent-Zero v0.8.* allows attackers to execute a directory traversal.CVE-2025-555247.3Insecure permissions in Agent-Zero v0.8.* allow attackers to arbitrarily reset the system via unspecified vectors.CVE-2025-555269.1n8n-workflows Main Commit ee25413 allows attackers to execute a directory traversal via the download_workflow function within api_server.py CVE-2025-55539.8A vulnerability classified as critical was found in PHPGurukul Rail Pass Management System 1.0. Affected by this vulnerability is an unknown CVE-2025-55548.8A vulnerability, which was classified as critical, has been found in PHPGurukul Rail Pass Management System 1.0. Affected by this issue is s CVE-2025-55557.8A vulnerability has been found in Nixdorf Wincor PORT IO Driver up to 1.0.0.1. This affects the function sub_11100 in the library wnport.sys CVE-2025-555517.5An issue in the component torch.linalg.lu of pytorch v2.8.0 allows attackers to cause a Denial of Service (DoS) when performing a slice oper CVE-2025-555527.5pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.CVE-2025-555537.5A syntax error in the component proxy_tensor.py of pytorch v2.7.0 allows attackers to cause a Denial of Service (DoS).CVE-2025-555545.3pytorch v2.8.0 was discovered to contain an integer overflow in the component torch.nan_to_num-.long().CVE-2025-555566.5TensorFlow v2.18.0 was discovered to output random results when compiling Embedding, leading to unexpected behavior in the application.