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CVE-2026-4409 is a vulnerability in the Subscribe To Comments Reloaded plugin for WordPress, caused by a leaked secret key and weak hash generation algorithm. It affects all versions up to and including 240119, allowing unauthenticated attackers to extract a global key from any public post page, forge authorization keys, and manipulate comment subscription preferences for arbitrary users. The vulnerability was published on May 5, 2026, and carries a CVSS v3.1 base score of 6.5 (Medium) (GitHub Advisory, Wordfence).
The root cause is twofold: the plugin exposes a global secret key within public post pages (CWE-200: Exposure of Sensitive Information to an Unauthorized Actor), and it relies on a weak hash generation algorithm to produce authorization keys (CWE-862: Missing Authorization). An unauthenticated attacker can retrieve the leaked global key by visiting any public post on the affected WordPress site, then use the weak hashing scheme to forge valid authorization tokens. With forged tokens, the attacker can invoke subscription management functions — such as subscribing or unsubscribing arbitrary users — without any credentials. Relevant code paths are visible in the plugin source at wp_subscribe_reloaded.php#L1613, utils/stcr_utils.php#L164, and templates/user.php#L37 (GitHub Advisory, Wordfence).
Successful exploitation allows unauthenticated attackers to modify comment subscription preferences for any user on the affected WordPress site, resulting in low confidentiality and low integrity impacts with no availability impact. Attackers could silently unsubscribe users from comment threads, subscribe users to unwanted notifications, or potentially harvest subscription-related user data exposed through the forged authorization flow. While the impact is limited in scope and does not enable remote code execution or privilege escalation, it represents a meaningful unauthorized data modification risk for site operators and their users (GitHub Advisory, Wordfence).
There is no known public proof-of-concept exploit and no evidence of active in-the-wild exploitation at this time. The EPSS score is approximately 0.049% (0.094% per GitHub Advisory), placing it in the 26th percentile for exploitation likelihood within 30 days. No threat actor attribution has been reported, and the vulnerability is not listed in the CISA Known Exploited Vulnerabilities (KEV) catalog. The low attack complexity and lack of authentication requirements do lower the barrier for exploitation if a PoC were to emerge (GitHub Advisory, Wordfence).
/wp-content/plugins/subscribe-to-comments-reloaded/readme.txt.templates/user.php#L37).utils/stcr_utils.php#L164), compute a forged authorization token for a target user's email address or subscription identifier.wp_subscribe_reloaded.php#L1613) with the forged authorization key, performing actions such as unsubscribing or subscribing arbitrary users to comment threads without authentication (GitHub Advisory, Wordfence).stcr or subscribe-to-comments-reloaded parameters) from unauthenticated or unknown IP addresses.wp_options or plugin-specific tables), such as mass unsubscriptions or subscriptions not initiated by legitimate users.Site administrators should update the Subscribe To Comments Reloaded plugin to a version newer than 240119 as the primary remediation step, since a patch has been released (GitHub Advisory). Until patching is possible, consider disabling the plugin entirely to eliminate the attack surface. Additionally, implement monitoring for anomalous subscription management activity and review access logs for signs of automated exploitation. Restricting access to subscription management endpoints via a web application firewall (WAF) rule may provide interim protection (Wordfence).
Wordfence included CVE-2026-4409 in its weekly WordPress vulnerability reports for both the May 4–10 and May 11–17, 2026 periods, indicating routine tracking of this moderate-severity issue (Wordfence Blog May 4–10, Wordfence Blog May 11–17). No significant independent researcher commentary or broader media coverage has been identified beyond standard vulnerability database aggregation.
Source: This report was generated using AI
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