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CVE-2026-15205 is an unauthenticated SQL injection vulnerability in the Paymob for WooCommerce WordPress plugin affecting all versions before 4.1.9. The flaw exists in the plugin's public payment callback endpoint, where a client-supplied identifier is used in a SQL query without proper sanitization and before HMAC signature verification is performed. It was publicly disclosed on August 12, 2026, with the CVE published on August 14, 2026, and was discovered and reported by researcher Artus KG. The vulnerability carries a CVSS v3.1 base score of 8.6 (High) (WPScan, Github Advisory).
The root cause is improper neutralization of special elements in an SQL command (CWE-89), where the plugin constructs a SQL query using a client-controlled identifier from the payment callback request without sanitization. Critically, this SQL query is executed before the plugin verifies the payment provider's HMAC signature, meaning the authentication bypass is inherent to the flawed processing order — no valid HMAC is needed to trigger the injection. The vulnerability supports both in-band (reflected) and time-based blind SQL injection extraction techniques, enabling full database read access. No authentication or privileges are required, and the attack complexity is low, making it trivially automatable (WPScan, Github Advisory).
Successful exploitation allows unauthenticated remote attackers to read arbitrary data from the WordPress database, including WordPress user credentials (usernames and hashed passwords), secret keys, API tokens, and other sensitive configuration data stored in the database. The scope is marked as "Changed" in the CVSS vector, reflecting that the impact extends beyond the vulnerable plugin component to the broader WordPress installation and its data. Compromised credentials could enable account takeover, privilege escalation to WordPress admin, and further lateral movement within the hosting environment (WPScan, Github Advisory).
No public proof-of-concept exploit is currently available; WPScan has indicated a PoC will be published on August 26, 2026, to allow time for users to update. There is no evidence of active in-the-wild exploitation at this time, and CISA's SSVC assessment classifies exploitation as "none" with "automatable: yes," indicating the attack can be scripted at scale once a PoC is released. The EPSS score is approximately 0.19–0.32%, reflecting a currently low but non-trivial probability of exploitation in the near term. The vulnerability has not been added to the CISA Known Exploited Vulnerabilities (KEV) catalog (WPScan, Github Advisory).
/wp-content/plugins/paymob-for-woocommerce/readme.txt.' OR SLEEP(5)-- for time-based blind, or ' UNION SELECT user_login,user_pass,3 FROM wp_users-- for in-band extraction).UNION, SELECT, SLEEP, OR 1=1, --, etc.); abnormal response times on callback requests (indicative of time-based blind injection).wp_users, wp_options, or other sensitive tables originating from the web application process; database slow query logs showing SLEEP() calls.wp_options entries such as siteurl, admin_email, or plugin API keys (WPScan).The primary remediation is to update the Paymob for WooCommerce plugin to version 4.1.9 or later, which includes proper sanitization of the client-supplied identifier before SQL query execution. If immediate patching is not possible, consider temporarily deactivating the plugin or using a Web Application Firewall (WAF) to block SQL injection patterns targeting the payment callback endpoint. After patching, rotate all WordPress credentials, secret keys, and any API tokens stored in the database that may have been exposed. Review database and web server access logs for signs of prior exploitation (WPScan, Github Advisory).
The vulnerability was discovered and responsibly disclosed by researcher Artus KG via WPScan, which coordinated the disclosure timeline and delayed PoC publication until August 26, 2026, to allow site operators time to update. No significant broader media coverage or notable social media commentary has been identified beyond standard vulnerability database aggregation (WPScan).
Source: This report was generated using AI
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