Recon AI Summarizer - totalrecon

This model is a fine-tuned version of google/flan-t5-small on a synthetic reconnaissance dataset created to simulate real-world passive recon scenarios.

It is designed to summarize recon output such as:

  • Subdomains
  • S3 buckets
  • Email leaks
  • Internal infrastructure mentions

It powers the totalrecon Python library used in red teaming, CTFs, and passive intelligence gathering.


Intended Use

Input: One line of recon output (e.g., from PDFs, text scans, etc.)
Output: Concise, human-readable summary of what was found

Example:

Input: Found S3 bucket at s3://confidential-files.internal.recon
Output: S3 bucket contains sensitive internal recon files.
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Model size
77M params
Tensor type
F32
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