---
language: en
license: mit
tags:
  - recon
  - summarization
  - cybersecurity
  - flan-t5
datasets:
  - custom
pipeline_tag: text2text-generation
---

# 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`](https://github.com/josh1643/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:

```text
Input: Found S3 bucket at s3://confidential-files.internal.recon
Output: S3 bucket contains sensitive internal recon files.