tugarecon
TugaRecon
TugaRecon is an advanced reconnaissance and intelligence framework that goes beyond enumeration.
It observes, interprets, remembers, and reacts — transforming subdomains into architectural intelligence.
🧭 Philosophy
TugaRecon is inspired by Portuguese explorers.
During the 15th and 16th centuries, navigators did more than discover land —
they mapped patterns, learned from each voyage, and refined future expeditions.
TugaRecon follows the same principle:
Explore → Map → Learn → Remember → React
— skynet0x01
Reconnaissance is not about collecting data.
It is about understanding systems.
📸 Preview
🚀 Core Capabilities
- 🔍 Passive & active subdomain enumeration (multi-source OSINT)
- 📡 High-performance brute-force with adaptive wordlists
- 🌐 DNS resolution with fallback DNS servers
- 🧠 Semantic analysis & architectural impact scoring
- 🎯 Asset prioritization by real security relevance
- 🕒 Temporal intelligence & asset memory
- ⚙️ Automated reactions to risk changes
- 🧩 Infrastructure & role inference (IAM, DB, CI/CD, SCADA, etc.)
- 🗺️ Optional ASN / infrastructure network mapping
- 📁 Clean outputs:
.txt,.json,.csv,.png,.svg,.md,.pdf - 🔒 No API keys required for most modules
🧠 Semantic & Architectural Intelligence
TugaRecon does not treat subdomains as strings.
It interprets them as signals of infrastructure design.
From naming conventions alone, it can infer:
- Identity & access layers (
auth,sso,iam) - Secrets & key management (
vault,kms,secrets) - Databases & data planes (
db,rds,postgres) - Network control (
gateway,proxy,waf) - Orchestration layers (
k8s,eks,cluster) - CI/CD infrastructure (
jenkins,gitlab,pipeline) - Monitoring & operations (
grafana,prometheus) - ICS / SCADA & industrial systems
This works even without open ports or HTTP access.
🎯 Impact Scoring & Prioritization
Each asset receives a numeric impact score (0–100) and a priority level.
Priority Levels
| Level | Meaning |
|---|---|
| CRITICAL | Control-plane, secrets, or production exposure |
| HIGH | Auth, database, or sensitive infrastructure |
| MEDIUM | Internal or supporting systems |
| LOW | Non-actionable or static assets |
🕒 Temporal Intelligence & Asset Memory
TugaRecon is stateful.
Every scan is compared against historical snapshots, allowing it to reason about change over time.
⚙️ Automated Reactions
Temporal events can trigger automatic deep-dive analysis.
Only relevant assets consume resources.
📦 Installation
git clone https://github.com/skynet0x01/tugarecon.git
cd tugarecon
pip3 install -r requirements.txt
👤 Author
skynet0x01
Cybersecurity Researcher & Tool Developer
🇵🇹 Portugal
📄 License
GNU GPLv3
Patent Restriction Notice:
No patents may be claimed or enforced on this software or any derivative.
Any patent claims result in automatic termination of license rights.
TugaRecon is not just a scanner.
It is a reconnaissance system that learns, remembers, and reacts.
🔗 Donate with your favorite cryptocurrency:
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Every contribution, no matter how small, makes a big difference. Thank you!
Final note
This README has been updated to match the current behavior of tugarecon.py (flags/usage) and to resolve the license inconsistency. If you prefer the MIT license instead of GPLv3, tell me and I can update the source file headers or switch the README to reflect MIT licensing.