aradhyacp

aradhyacp / SecFlow

Public

AI-driven automated threat analysis pipeline that routes files, URLs, IPs, domains, or images through specialized security analyzers and generates professional PWNDoc reports with integrated YARA and Sigma rule.

ai-security blueteam cybersecurity docker ghidra
10
2
100% credibility
Found Mar 11, 2026 at 10 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

SecFlow is an AI-orchestrated security toolkit that automatically analyzes suspicious files, images, documents, URLs, IPs, and usernames across multiple specialized scanners to detect malware, steganography, macros, and web threats, generating actionable reports with threat intelligence and detection rules.

How It Works

1
🔍 Spot something suspicious

You find a strange file, link, or address and wonder if it's dangerous.

2
📤 Share it with SecFlow

Upload the file or paste the link into SecFlow's easy analyzer.

3
🤖 AI starts smart checks

SecFlow's helpful assistant automatically picks the right safety scans for your item.

4
🛡️ Deep threat hunting

It carefully examines for malware, hidden messages, risky redirects, and more.

5
📊 See your safety report

Get a clear summary of what it found, with pictures and simple explanations.

✅ You're protected now

Know exactly what's safe or risky, with tips to block future threats.

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Star Growth

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AI-Generated Review

What is SecFlow?

SecFlow is a Python-powered, Docker-based pipeline for AI-driven automated threat analysis. Feed it files, URLs, IPs, domains, or images; it routes them through malware decomp, stego detection, recon OSINT, web vuln scans, and macro checks using AI-driven analytics and automated decision making systems. Kicks out professional PWNDoc reports with embedded YARA and Sigma rules for instant SOC deployment.

Why is it gaining traction?

Zero-config docker-compose spins up the full stack, chaining tools like VirusTotal, Ghidra, and OSINT feeds via AI routing—no scripting loops. Devs dig the pro reports with auto-gen rules, turning raw scans into actionable intel fast. Stands out as an ai driven threat detection system github project blending ai driven automated testing vibes with real security workflows.

Who should use this?

Red teamers triaging phishing payloads or C2 binaries, bug bounty hunters probing sketchy URLs/domains, SOC analysts batch-scanning IOCs. Perfect for indie devs prototyping ai driven dev github tools or automated ai driven system for early detection pipelines.

Verdict

Grab it for quick threat triage—docker up, POST to /api/smart-analyze, get reports in seconds. At 10 stars and 1.0% credibility, it's raw early-stage (light tests, basic docs), but solid for hobbyists or forking into custom ai driven github workflows. Prod teams: wait for maturity.

(198 words)

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