Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2025-34073

Published Jul 2, 2025 CWE-78 EPSS 5.67% (92th pctl)

Overview

CVE-2025-34073 is a known-severity vulnerability. It was published on July 2, 2025.

Technical Description

An unauthenticated command injection vulnerability exists in stamparm/maltrail (Maltrail) versions <=0.54. A remote attacker can execute arbitrary operating system commands via the username parameter in a POST request to the /login endpoint. This occurs due to unsafe handling of user-supplied input passed to subprocess.check_output() in core/http.py, allowing injection of shell metacharacters. Exploitation does not require authentication and commands are executed with the privileges of the Maltrail process.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently Asked Questions

What is CVE-2025-34073?

CVE-2025-34073 is a known-severity vulnerability. It was published on July 2, 2025.

How severe is CVE-2025-34073?

CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.

How do I fix or remediate CVE-2025-34073?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2025-34073?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-34073 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.