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Introducing Temodar Agent, a local-first security analysis platform for WordPress that combines AI Agent workflows, multi-provider LLM orchestration, Semgrep static analysis, and risk-oriented WordPress reconnaissance.
Section 01
Temodar Agent is a local-first AI-driven security analysis platform for WordPress, combining AI Agent workflows, multi-provider LLM orchestration, Semgrep static analysis, and risk-oriented WordPress reconnaissance. It is packaged as a Docker application to help security researchers, product security teams, auditors, and defenders efficiently handle WordPress plugin/theme security issues.
Section 02
WordPress powers over 40% of global websites, but its vast plugin and theme ecosystem poses significant security challenges. Security researchers and audit teams often struggle to efficiently identify and prioritize high-risk targets among tens of thousands of plugins and themes. Temodar Agent was developed to address this pain point.
Section 03
Temodar Agent's core innovation lies in its AI Agent workflow design, which uses thread-based context management for each plugin/theme (maintaining dialogue summaries, analysis results, architecture notes, etc.). It supports multiple execution strategies (agent, team, tasks, fanout, auto) and key capabilities: risk-based target prioritization, Semgrep static analysis integration, multi-LLM provider support (Anthropic, OpenAI, Copilot, Gemini, Grok), custom Semgrep rule management, and local result persistence.
Section 04
The platform integrates Semgrep with default rulesets (OWASP Top 10, PHP Security, Security Audit) and custom rule management. It also provides risk-oriented WordPress reconnaissance: scanning public plugins/themes, filtering by installation count and update frequency, using risk signals (installation volume, update frequency, author reputation, code complexity, historical vulnerabilities) to prioritize targets, and streaming progress to the dashboard.
Section 05
Temodar Agent uses Docker for deployment (requires Docker installed). Quick start commands include pulling the image and running the container with volume mounts for data persistence. It is suitable for: security research teams (fast ecosystem review, maintaining investigation memory), product security teams (third-party component assessment), audit firms (standardized reports), and defenders (monitoring deployed components).
Section 06
Key limitations: Docker dependency (learning curve for non-container users), LLM API costs for commercial models, potential AI hallucinations (need manual validation), initial Semgrep rule coverage gaps (custom rules needed), and focus on WordPress (limited support for other CMS).
Section 07
Temodar Agent combines static analysis (Semgrep) with AI Agent technology to enhance WordPress security research. It is open-source and recognized by the community (included in the awesome-bugbounty-tools list). Future prospects include more intelligent AI capabilities as LLMs evolve, potentially expanding to other CMS. It is a valuable tool for WordPress security professionals.
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