
Twitter SLM Security & Risk Analysis
wordpress.org/plugins/twitter-slmAutomatically creates tweets on your Twitter account for new posts and pages.
Is Twitter SLM Safe to Use in 2026?
Generally Safe
Score 85/100Twitter SLM has no known CVEs and is actively maintained. It's a solid choice for most WordPress installations.
The "twitter-slm" plugin v0.1.0 exhibits a concerning security posture, primarily due to its limited attack surface being largely unprotected. The static analysis reveals one AJAX handler that lacks authentication checks, presenting a direct entry point for potential malicious activity. While the taint analysis did not flag critical or high severity issues, the presence of three flows with unsanitized paths is a significant concern that could lead to various vulnerabilities if exploited by malicious input. Furthermore, the code signals indicate a heavy reliance on dangerous functions such as 'unserialize' without apparent sanitization, and a low percentage of SQL queries utilizing prepared statements, increasing the risk of SQL injection. The complete absence of nonce and capability checks on its entry points is a major oversight. The plugin's vulnerability history is clean, with no recorded CVEs, which is a positive sign for past security diligence. However, this history, combined with the current code analysis, suggests that while it may not have been targeted or exploited previously, the present vulnerabilities create a significant risk profile that could be easily exploited by an attacker aware of these weaknesses. Overall, the plugin's strengths lie in its small attack surface and clean historical record, but these are heavily overshadowed by critical security oversights in its current implementation.
Key Concerns
- Unprotected AJAX handler
- Flows with unsanitized paths
- Dangerous function 'unserialize' detected
- Low percentage of prepared SQL statements
- No nonce checks on entry points
- No capability checks on entry points
- Low output escaping percentage
Twitter SLM Security Vulnerabilities
Twitter SLM Release Timeline
Twitter SLM Code Analysis
Dangerous Functions Found
SQL Query Safety
Output Escaping
Data Flow Analysis
Twitter SLM Attack Surface
AJAX Handlers 1
WordPress Hooks 3
Maintenance & Trust
Twitter SLM Maintenance & Trust
Maintenance Signals
Community Trust
Twitter SLM Alternatives
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Twitter SLM Developer Profile
2 plugins · 50 total installs
How We Detect Twitter SLM
Patterns used to identify this plugin on WordPress sites during automated security audits and web crawling.
Asset Fingerprints
/wp-content/plugins/twitter-slm/css/datepicker.css/wp-content/plugins/twitter-slm/js/bootstrap-datepicker.js/wp-content/plugins/twitter-slm/js/bootstrap.min.js/wp-content/plugins/twitter-slm/css/bootstrap.min.css/wp-content/plugins/twitter-slm/js/slm-twitter.js/wp-content/plugins/twitter-slm/js/bootstrap-datepicker.js/wp-content/plugins/twitter-slm/js/slm-twitter.js/wp-content/plugins/twitter-slm/js/bootstrap.min.jstwitter-slm/js/bootstrap-datepicker.js?ver=twitter-slm/css/datepicker.css?ver=twitter-slm/js/slm-twitter.js?ver=twitter-slm/js/bootstrap.min.js?ver=twitter-slm/css/bootstrap.min.css?ver=HTML / DOM Fingerprints
slm-twitter-options-tabslm-twitter-log-tabdata-toggle="tab"SLMTwitterPluginSLMTwitterScheduler