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CVE-2025-69295 is a Blind SQL Injection vulnerability in the TeconceTheme Coven Core WordPress plugin (versions ≤ 1.3), classified under CWE-89. It was reported by researcher Phat RiO on November 14, 2025, published by Patchstack on January 23, 2026, and formally published in NVD on February 20, 2026. The vulnerability requires no authentication or user interaction and is exploitable remotely. It carries a CVSS v3.1 base score of 9.3 (Critical) (Patchstack, Feedly).
The vulnerability is rooted in improper neutralization of special elements used in SQL commands (CWE-89), allowing an unauthenticated attacker to inject malicious SQL syntax into database queries processed by the Coven Core plugin. The attack vector is network-based with low complexity, requiring no privileges or user interaction, and the scope is changed — meaning the impact extends beyond the vulnerable component itself. The specific injectable parameter or endpoint has not been publicly detailed beyond the plugin's functionality, but a proof-of-concept exploit is available on GitHub (GitHub PoC, Patchstack).
Successful exploitation allows unauthenticated remote attackers to perform blind SQL injection against the WordPress site's underlying database, resulting in high confidentiality impact through extraction of sensitive data such as user credentials, personal information, and site configuration. Availability is also degraded due to potential database resource exhaustion from repeated injection queries. Integrity is not directly impacted per the CVSS scoring, but stolen credentials could enable further compromise of the WordPress installation or lateral movement within the hosting environment (Patchstack, Feedly).
A public proof-of-concept exploit was published on GitHub (hexissam/CVE-2025-69295) on approximately March 2, 2026, and has also been indexed by Vulners and Sploitus (GitHub PoC). There is no confirmed evidence of active in-the-wild exploitation at this time, and no threat actor attribution has been reported. The EPSS score is 0.021% (0.000210), indicating a currently low but non-zero probability of exploitation. The vulnerability is not listed in the CISA KEV catalog. Patchstack has noted that vulnerabilities of this severity class are frequently used in mass-exploit campaigns targeting WordPress sites (Patchstack).
/wp-content/plugins/coven-core/).https://github.com/hexissam/CVE-2025-69295 to identify the specific parameter or endpoint susceptible to SQL injection.SLEEP() or conditional AND 1=1/1=2 logic) to infer database contents without direct output.sqlmap with the identified endpoint and parameter to automate extraction of database tables, user credentials (WordPress wp_users table), and other sensitive data.', --, SLEEP, UNION, AND 1=1) in query parameters or POST bodies; high-frequency requests from a single IP to plugin-related URLs.SLEEP() or heavy conditional queries.As of the time of publication, no official patch from TeconceTheme is available for Coven Core; users should contact the vendor directly for remediation status (Patchstack). Patchstack has issued a virtual patch (mitigation rule) for Patchstack-protected sites to block exploitation attempts until an official fix is released. Recommended interim actions include: deactivating and removing the Coven Core plugin if it is not essential, restricting network access to affected WordPress installations, deploying a Web Application Firewall (WAF) with SQL injection detection rules, and monitoring database access logs for anomalous query patterns (Feedly).
Patchstack classified this vulnerability as high priority and noted it is the type commonly leveraged in mass-exploit campaigns against WordPress sites, regardless of site traffic or popularity (Patchstack). The vulnerability was also featured in the Wordfence Intelligence Weekly WordPress Vulnerability Report for January 19–25, 2026, indicating broader community awareness (Wordfence). No significant vendor statements or notable researcher commentary beyond the initial disclosure have been identified.
Source: This report was generated using AI
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