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Analyze steganography offline and extract hidden data from media and files.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "steganography-mcp" yet — see the docs or source repo.
Run a comprehensive steganography analysis on this suspicious image, identify possible hiding methods, and attempt to extract any hidden content. Summarize findings with confidence levels.
An image steganography report with suspicious indicators, likely methods, extracted content, and conclusions.
Check whether this audio file contains steganographic content or anomalous encoded data, extract any hidden payload if possible, and explain the detection steps used.
An audio steganography analysis showing whether hidden data exists, any extracted payload, and the detection process.
Batch-check this set of file samples for steganography or embedded hidden data, summarize anomalies by file type, and flag samples that need further manual review.
A batch screening checklist with risk flags, anomaly summaries, and review recommendations for each file.
Analyze images for AI-generation signs using multiple forensic inspection methods.
Screen academic papers for AI-generated signals with section-based multi-layer analysis.
Detect AI-generated content, check plagiarism, analyze images, and compare texts.
Analyze PCAPs offline to extract streams, detect threats, and find leaked credentials.
Detect AI-generated signals in media and text to identify synthetic content.
Extract images from PDF and Word files for reuse, review, and analysis.