Zero-Day Advisory

Fortinet Discovers WordPress FooGallery Lightbox Cross Site Scripting Vulnerability

Summary

Fortinet's FortiGuard Labs has discovered a cross-site scripting (XSS) vulnerability in WordPress FooGallery Plugin.


FooGallery is an easy-to-use WordPress gallery plugin, with stunning gallery layouts. It is also responsive, retina-ready and supports lazy loading for lightning fast photo galleries. It's a popular plugin with over 200,000 installations.


The vulnerability is caused by improper sanitization of user input in the image title or caption parameters in the gallery media upload editor. Thereby it can lead to an XSS in the default lightbox feature.

Solutions

FortiGuard Labs released the following FortiGate IPS signature which covers this specific vulnerability:

WordPress.Plugin.FooGallery.Lightbox.XSS
Released May 08, 2020

Update to the version 1.9.25 or above.

Timeline

Fortinet reported the vulnerability to FooPlugins on April 10, 2020

FooPlugins confirmed the vulnerability on April 16, 2020 

FooPlugins released patch for the vulnerability on May 4, 2020

Acknowledgement

This vulnerability was discovered by VishnuPriya Ilango of Fortinet's FortiGuard Labs.

IPS Subscription

Fortinet customers who subscribe to Fortinet's intrusion prevention (IPS) service should be protected against this vulnerability with the appropriate configuration parameters in place. Fortinet's IPS service is one component of FortiGuard Subscription Services, which also offer comprehensive solutions such as antivirus, Web content filtering and antispam capabilities. These services enable protection against threats on both application and network layers. FortiGuard Services are continuously updated by FortiGuard Labs, which enables Fortinet to deliver a combination of multi-layered security intelligence and true zero-day protection from new and emerging threats. These updates are delivered to all FortiGate, FortiMail and FortiClient products. Fortinet strictly follows responsible disclosure guidelines to ensure optimum protection during a threat's lifecycle.