EUVD-2023-26887

Malicious code in bioql PyPI...

EUVD-2025-21451

Malicious code in bioql PyPI...

EUVD-2025-19902

Malicious code in bioql PyPI...

EUVD-2023-26886

Malicious code in bioql PyPI...

EUVD-2023-49917

Malicious code in bioql PyPI...

EUVD-2025-10255

Malicious code in bioql PyPI...

EUVD-2024-42485

Malicious code in bioql PyPI...

EUVD-2025-19212

Malicious code in bioql PyPI...

EUVD-2023-39957

Malicious code in bioql PyPI...

EUVD-2024-22933

Malicious code in bioql PyPI...

EUVD-2022-40505

Malicious code in bioql PyPI...

EUVD-2025-21432

Malicious code in bioql PyPI...

EUVD-2025-15833

Malicious code in bioql PyPI...

EUVD-2024-40393

Malicious code in bioql PyPI...

EUVD-2021-31353

Malicious code in bioql PyPI...

EUVD-2023-44353

Malicious code in bioql PyPI...

CVE-2025-34227

Nagios XI 2026R1 is vulnerable to an authenticated command injection vulnerability within the MongoDB Database, MySQL Query, MySQL Server, Postgres Server, and Postgres Query wizards. It is possible to inject shell characters into arguments provided to the service and execute arbitrary system...

CVE-2025-34227 Nagios XI < 2026R1 Configuration Wizard Authenticated Command Injection

Nagios XI 2026R1 is vulnerable to an authenticated command injection vulnerability within the MongoDB Database, MySQL Query, MySQL Server, Postgres Server, and Postgres Query wizards. It is possible to inject shell characters into arguments provided to the service and execute arbitrary system...

CVE-2025-34227

Nagios XI 2026R1 is vulnerable to an authenticated command injection vulnerability within the MongoDB Database, MySQL Query, MySQL Server, Postgres Server, and Postgres Query wizards. It is possible to inject shell characters into arguments provided to the service and execute arbitrary system...

PT-2025-39429

Name of the Vulnerable Software and Affected Versions Nagios XI versions prior to 2026R1 Description Nagios XI is susceptible to an authenticated command injection issue present in the MongoDB Database, MySQL Query, MySQL Server, Postgres Server, and Postgres Query wizards. Successful exploitatio...