CVE-2006-0206
Overview
CVE-2006-0206 is a known-severity vulnerability affecting light_weight_calendar light_weight_calendar. It was published on January 13, 2006.
Technical Description
Eval injection vulnerability in Light Weight Calendar (LWC) 1.0 (20040909) and earlier allows remote attackers to execute arbitrary PHP code via the date parameter in cal.php, which is included by index.php.
Remediation
Check the references section for vendor advisories and patches from light_weight_calendar. Update light_weight_calendar to the latest patched version. 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.
Affected Products
| Vendor | Product | Versions | Status |
|---|
References
Frequently Asked Questions
What is CVE-2006-0206?
CVE-2006-0206 is a known-severity vulnerability affecting light_weight_calendar light_weight_calendar. It was published on January 13, 2006.
How severe is CVE-2006-0206?
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-2006-0206?
Check the references section for vendor advisories and patches from light_weight_calendar. Update light_weight_calendar to the latest patched version. 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-2006-0206?
CyberStrike's AI-powered security agents can automatically detect CVE-2006-0206 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.