CVE-2025-28857 in Rankchecker.io Integration Plugin
Summary
by MITRE • 03/11/2025
Cross-Site Request Forgery (CSRF) vulnerability in rankchecker Rankchecker.io Integration allows Stored XSS. This issue affects Rankchecker.io Integration: from n/a through 1.0.9.
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Analysis
by VulDB Data Team • 03/19/2025
This cross-site request forgery vulnerability in the rankchecker io integration represents a critical security flaw that enables attackers to execute stored cross-site scripting attacks through manipulated csrf tokens. The vulnerability exists within the integration's handling of user input and request processing mechanisms, where insufficient validation and token generation procedures allow malicious actors to craft crafted requests that bypass security controls. The affected version range from n/a through 1.0.9 indicates a broad impact across multiple releases, suggesting this flaw has persisted for an extended period without proper remediation.
The technical implementation of this vulnerability stems from inadequate csrf protection mechanisms within the integration's web application framework. When users interact with the rankchecker io interface, the system fails to properly validate or regenerate csrf tokens for critical operations, creating an opportunity for attackers to inject malicious payloads that get stored and executed when other users access the affected pages. This stored xss vulnerability operates through the exploitation of csrf token weaknesses rather than traditional direct injection vectors, making detection more challenging for security monitoring systems. The flaw aligns with CWE-352 which specifically addresses cross-site request forgery vulnerabilities and demonstrates how csrf flaws can compound into more severe stored xss conditions when proper input sanitization and token management procedures are absent.
The operational impact of this vulnerability extends beyond simple data theft or session hijacking, as the stored nature of the xss payload means that malicious code can affect multiple users over time. Attackers can inject javascript code that executes in the context of other users' browsers, potentially stealing cookies, redirecting traffic, or performing unauthorized actions within the application. This creates a persistent threat vector that can compromise user accounts, exfiltrate sensitive information, or serve as a foothold for further attacks within the target environment. The vulnerability affects the integration's core functionality and user trust, as legitimate users may unknowingly execute malicious code when accessing the application. Organizations using this integration face potential regulatory compliance issues and reputational damage from successful exploitation attempts.
Mitigation strategies should focus on implementing robust csrf protection mechanisms including proper token generation, validation, and regeneration procedures that align with OWASP top ten security recommendations. The integration should employ anti-csrf tokens that are unique per user session and properly validated for each request. Input sanitization and output encoding should be implemented to prevent malicious code execution even if csrf protection fails. Regular security testing including csrf token validation should be conducted to identify similar vulnerabilities. The affected versions require immediate patching or upgrade to versions that address these csrf token handling issues. Organizations should also implement web application firewalls and monitoring systems that can detect anomalous request patterns associated with csrf attacks. Additionally, user education regarding suspicious activities and proper security practices remains crucial in defending against exploitation attempts. This vulnerability demonstrates the importance of comprehensive security testing and proper implementation of csrf protection mechanisms throughout the application development lifecycle. The ATT&CK framework categorizes this as a web application attack vector with potential for privilege escalation and persistent threats through stored xss exploitation techniques.