CVE-2026-77783 in Rank Math SEO Plugin
Summary
by MITRE • 09/02/2026
The Rank Math SEO WordPress plugin before 1.0.277 does not verify that the post whose schema it renders on the front end is publicly viewable, allowing unauthenticated visitors to disclose the schema and associated content of draft, pending, private, scheduled and password-protected posts.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 09/02/2026
The vulnerability identified in Rank Math SEO versions prior to 1.0.277 represents a critical failure in access control mechanisms within a widely used WordPress plugin designed for search engine optimization. The core issue stems from the application's inability to properly validate the visibility status of posts when generating structured data schemas on the front end. In standard web applications, especially content management systems like WordPress, there is a strict separation between public-facing resources and those intended for restricted access such as drafts, pending reviews, private entries, scheduled future publications, or password-protected articles. The Rank Math plugin, however, processes these posts indiscriminately when rendering schema markup, which typically includes metadata about the content structure to help search engines understand page context. This architectural oversight allows any unauthenticated user with knowledge of a post's URL to retrieve sensitive structured data that should remain hidden from public view.
From a technical perspective, this flaw is classified under CWE-200 as an Information Exposure vulnerability, specifically falling into the category where security-sensitive information is disclosed without proper access controls. The attacker does not need to bypass authentication mechanisms or exploit complex injection techniques; instead, they simply request the front-end page URL associated with a restricted post. Because the plugin generates and outputs schema markup regardless of the post's visibility setting in the database, the sensitive metadata becomes part of the HTML response sent back to the client. This includes details such as titles, descriptions, author information, publication dates, and potentially internal identifiers that can be leveraged for further reconnaissance or social engineering attacks. The lack of a check against the post status field during schema generation is the root cause, reflecting an insufficient verification of user privileges before rendering sensitive content structures.
The operational impact of this vulnerability extends beyond mere data leakage. By exposing the structure and metadata of private or draft posts, attackers can gain insights into the site's editorial workflow, upcoming product launches, internal communications, or unpublished marketing strategies. This information is highly valuable for competitive intelligence gathering or targeted phishing campaigns where knowledge of specific content topics enhances the credibility of malicious messages. Furthermore, if password-protected posts contain unique identifiers or links to other resources, this exposure can facilitate more sophisticated attacks against those linked assets. The vulnerability affects all unauthenticated visitors, meaning it requires no prior login credentials, significantly lowering the barrier for exploitation and increasing the potential attack surface across any WordPress site utilizing vulnerable versions of Rank Math SEO.
To mitigate this risk, administrators must immediately update the Rank Math SEO plugin to version 1.0.277 or later, where the developers have implemented proper checks to ensure that schema is only rendered for posts with public visibility status. Until an upgrade is feasible, temporary mitigations include restricting access to WordPress admin areas via IP whitelisting and ensuring that any custom code or themes do not inadvertently expose post metadata through alternative endpoints. It is also advisable to audit the site's robots.txt file and server configurations to minimize information leakage from other sources while monitoring for unusual traffic patterns indicative of schema scraping attempts. Adhering to industry standards such as OWASP Top 10, specifically A5:2017 Broken Access Control, reinforces the necessity of implementing strict authorization checks at every point where sensitive data is processed or rendered in a web application context.