CVE-2007-0173

Published Jan 11, 2007 l2j

Overview

CVE-2007-0173 is a known-severity vulnerability affecting l2j statistik_script. It was published on January 11, 2007.

Technical Description

Directory traversal vulnerability in index.php in L2J Statistik Script 0.09 and earlier, when register_globals is enabled and magic_quotes is disabled, allows remote attackers to include and execute arbitrary local files via a .. (dot dot) in the page parameter, as demonstrated by injecting PHP sequences into an Apache HTTP Server log file, which is then included by index.php.

Remediation

Check the references section for vendor advisories and patches from l2j. Update statistik_script 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

Ref osvdb.org/35914 Ref www.securityfocus.com/bid/21914 Ref www.vupen.com/english/advisories/2007/0097 Ref exchange.xforce.ibmcloud.com/vulnerabilities/31309 Ref www.exploit-db.com/exploits/3091 Ref osvdb.org/35914 Ref www.securityfocus.com/bid/21914 Ref www.vupen.com/english/advisories/2007/0097 Ref exchange.xforce.ibmcloud.com/vulnerabilities/31309 Ref www.exploit-db.com/exploits/3091

Frequently Asked Questions

What is CVE-2007-0173?

CVE-2007-0173 is a known-severity vulnerability affecting l2j statistik_script. It was published on January 11, 2007.

How severe is CVE-2007-0173?

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-2007-0173?

How can CyberStrike help with CVE-2007-0173?

CyberStrike's AI-powered security agents can automatically detect CVE-2007-0173 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.