CVE-2025-15682
Overview
CVE-2025-15682 is a known-severity vulnerability. It was published on August 10, 2026.
Technical Description
TBEA TLogger V2.1.0.0B0.0.0.0 contains an unauthenticated resource exhaustion vulnerability in its web server. An unauthenticated remote attacker can send PUT requests to the /tmp/ endpoint, causing the web server to create persistent files containing attacker-controlled data under /opt/myapp/webserver/. The generated files are not removed because the web server attempts to move them into a non-existent directory. Repeated requests can therefore exhaust available storage and cause a denial-of-service condition.
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.
References
Frequently Asked Questions
What is CVE-2025-15682?
CVE-2025-15682 is a known-severity vulnerability. It was published on August 10, 2026.
How severe is CVE-2025-15682?
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-2025-15682?
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-2025-15682?
CyberStrike's AI-powered security agents can automatically detect CVE-2025-15682 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.