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CVE-2011-0728

3.5 · LOW
Published Mar 29, 2011 michael_hudson-doyle CWE-79 EPSS 1.83% (77th pctl)

Overview

CVE-2011-0728 is a low-severity vulnerability affecting michael_hudson-doyle loggerhead. It was published on March 29, 2011 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 templatefunctions.py in Loggerhead before 1.18.1 allows remote authenticated users to inject arbitrary web script or HTML via a filename, which is not properly handled in a revision view.

Remediation

Check the references section for vendor advisories and patches from michael_hudson-doyle. Update loggerhead 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
michael_hudson-doyle loggerhead 0 Affected

Frequently Asked Questions

What is CVE-2011-0728?

CVE-2011-0728 is a low-severity vulnerability affecting michael_hudson-doyle loggerhead. It was published on March 29, 2011 and has a CVSS 2.0 base score of 3.5 (LOW).

How severe is CVE-2011-0728?

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-2011-0728?

Check the references section for vendor advisories and patches from michael_hudson-doyle. Update loggerhead 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-2011-0728?

CyberStrike's AI-powered security agents can automatically detect CVE-2011-0728 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.