
Language-based Comment Spam Condom Security & Risk Analysis
wordpress.org/plugins/language-based-anti-spam-pluginThis plugin prevents comments spamming using language verification.
Is Language-based Comment Spam Condom Safe to Use in 2026?
Generally Safe
Score 85/100Language-based Comment Spam Condom has no known CVEs and is actively maintained. It's a solid choice for most WordPress installations.
The "language-based-anti-spam-plugin" v1.1 exhibits a mixed security posture. On the positive side, it has a very small attack surface with no identified AJAX handlers, REST API routes, shortcodes, or cron events, and importantly, none of these entry points lack authentication or permission checks. Furthermore, all SQL queries are properly prepared, and there are no known historical vulnerabilities. However, significant concerns arise from the static analysis. The plugin has a complete lack of capability checks and nonce checks, which are fundamental security mechanisms in WordPress. The taint analysis reveals flows with unsanitized paths, indicating a potential for sensitive data to be processed or exposed without proper validation, despite the absence of critical or high-severity taint flows in this analysis. The output escaping is also a major weakness, with 0% of identified outputs being properly escaped, posing a risk of cross-site scripting (XSS) vulnerabilities. The presence of file operations and external HTTP requests without robust checks further elevates these risks.
In conclusion, while the plugin has strengths in its minimal attack surface and the absence of historical vulnerabilities and critical taint issues, the lack of essential security checks like capability and nonce verification, combined with the critical issue of unescaped output and unsanitized paths in taint flows, presents a substantial risk. The plugin is vulnerable to XSS and potentially other injection-based attacks due to these omissions. Developers should prioritize implementing capability checks, nonce verification, proper output escaping, and thorough sanitization of data from file operations and external requests to improve its security.
Key Concerns
- Unescaped output detected
- Lack of nonce checks
- Lack of capability checks
- Unsanitized paths in taint flows
- File operation detected without explicit checks
- External HTTP request detected without explicit checks
Language-based Comment Spam Condom Security Vulnerabilities
Language-based Comment Spam Condom Code Analysis
SQL Query Safety
Output Escaping
Data Flow Analysis
Language-based Comment Spam Condom Attack Surface
WordPress Hooks 2
Maintenance & Trust
Language-based Comment Spam Condom Maintenance & Trust
Maintenance Signals
Community Trust
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Language-based Comment Spam Condom Developer Profile
2 plugins · 120 total installs
How We Detect Language-based Comment Spam Condom
Patterns used to identify this plugin on WordPress sites during automated security audits and web crawling.
Asset Fingerprints
/wp-content/plugins/language-based-anti-spam-plugin/admin/language-based-anti-spam-plugin.css/wp-content/plugins/language-based-anti-spam-plugin/admin/language-based-anti-spam-plugin.jsHTML / DOM Fingerprints
lbcsc-settings<!-- Language-based Comment Spam Condom Options -->data-plugin-name="Language-based Comment Spam Condom"lbcsc_ajax_object