AI Discovery Files – llms.txt & AI Visibility Security & Risk Analysis

The "ai-discovery-files" plugin v1.2.1 demonstrates a strong security posture based on the provided static analysis. All identified entry points, including 6 AJAX handlers, are protected with nonce and capability checks, indicating good development practices in preventing unauthorized access and actions.

The absence of dangerous functions, SQL injection vulnerabilities (100% prepared statements), file operations, and external HTTP requests is highly positive. The high percentage of properly escaped output (97%) further mitigates risks of cross-site scripting (XSS). Taint analysis revealing zero unsanitized paths and no critical or high severity flows is excellent, suggesting the code is resistant to common injection-based attacks.

The plugin's vulnerability history is also clean, with zero recorded CVEs. This, combined with the positive static analysis, suggests a well-maintained and secure codebase. While the lack of specific vulnerabilities is a strength, the plugin's overall security could be further strengthened by continuous monitoring and proactive security audits, especially as new versions are released.