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CVE-2015-3368

3.5 · LOW
Published Apr 21, 2015 osinet CWE-79 EPSS 0.95% (59th pctl)

Overview

CVE-2015-3368 is a low-severity vulnerability affecting osinet classified_ads. It was published on April 21, 2015 and has a CVSS 2.0 base score of 3.5 (LOW).

This vulnerability has a CVSS 2.0 base score of 3.5, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical Description

Cross-site scripting (XSS) vulnerability in the administration user interface in the Classified Ads module before 6.x-3.1 and 7.x-3.x before 7.x-3.1 for Drupal allows remote authenticated users with the "administer taxonomy" permission to inject arbitrary web script or HTML via a category name.

Remediation

Check the references section for vendor advisories and patches from osinet. Update classified_ads 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
osinet classified_ads 0 Affected

Frequently Asked Questions

What is CVE-2015-3368?

CVE-2015-3368 is a low-severity vulnerability affecting osinet classified_ads. It was published on April 21, 2015 and has a CVSS 2.0 base score of 3.5 (LOW).

How severe is CVE-2015-3368?

This vulnerability has a CVSS 2.0 base score of 3.5, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2015-3368?

Check the references section for vendor advisories and patches from osinet. Update classified_ads 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-2015-3368?

CyberStrike's AI-powered security agents can automatically detect CVE-2015-3368 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.