`TORNET GRANTED`

Dark-Web Intelligence & Onion-Service Reconnaissance Platform

Illuminate the unindexed web. Hunt threats at the source.

Mission · Capabilities · Architecture · Install · Modules · Workflow · Ethics

🎯 Mission

TORNET GRANTED is an intelligence-grade reconnaissance platform that discovers, validates, renders and enumerates Tor hidden services — turning the noise of the dark web into structured, attributable signal for analysts, investigators and defenders.

It was originally built in response to Problem Statement PSID-1455 of the Smart India Hackathon 2023, and has since matured into an open-source tactical console that operators can deploy on a single host — entirely self-contained, air-gappable, and fully attributable to a single operator identity per session.

The Onion Routing network provides legitimate anonymity to journalists, activists, and at-risk users. It is also abused by threat actors. The defensive cyber community needs lightweight tooling to observe, catalogue, and report on that abuse — without participating in it.

⚡ Why TORNET GRANTED?

	Most OSINT Tools	TORNET GRANTED
Tor-native collection	Optional add-on	First-class. Every request egresses over the local Tor SOCKS5 circuit.
Unified workflow	One tool per task	Six tightly-integrated modules in a single console.
Self-hosted	Cloud SaaS w/ telemetry	Drop on a single host. Zero outbound telemetry.
Operator-attributable	Anonymous bulk runs	Every artefact traceable to an operator session.
Scheduled collection	Manual or external cron	Built-in mission scheduler with SMTP delivery.
Forensic media support	Separate ExifTool wrapper	EXIF intelligence integrated with leak hunting.

🧠 Capability Matrix

#	Module	Purpose	Surfaces
01	Discover Onion URLs	Recursive multi-engine scraping of dark-web indexers by keyword.	Catalogued `.onion` endpoints, exportable as TXT/JSON/PDF
02	Validate Hidden Services	Liveness probing for single or bulk targets through SOCKS5.	Active / Dead segmentation, response headers, server banners
03	DOM Extraction	Static fetch & render of the document model of any hidden service.	Source markup, asset references, embedded artefacts
04	Enumerate & Fingerprint	Regex-driven leak hunt + fuzzing of common configuration paths.	Credentials, crypto wallets, emails, domain references, `/.env` leaks
05	EXIF / Media Forensics	Hidden metadata extraction from images and media.	GPS, device fingerprints, embedded comments, timestamps
06	Mission Scheduler	Cron-style recurring or one-shot operation queueing.	Automated delivery of intelligence digests via SMTP

🏗 Architecture

flowchart LR
    Operator((🧑‍✈️ Operator)) -->|Sign-in| Console[TORNET Console<br/>Flask + Jinja2]
    Console --> ModDis[Discover]
    Console --> ModVal[Validate]
    Console --> ModDom[DOM Extract]
    Console --> ModEnu[Enumerate]
    Console --> ModExi[EXIF Forensics]
    Console --> ModSch[Scheduler]

    ModDis & ModVal & ModDom & ModEnu --> Tor[(Tor Daemon<br/>SOCKS5 :9050)]
    Tor -->|Hidden Service Lookup| Hidden[Onion Services<br/>v3 .onion network]

    ModExi --> ExifTool[(ExifTool)]
    ModSch --> APS[(APScheduler<br/>Cron Triggers)]
    APS -->|On trigger| Mail[(SMTP<br/>Gmail App Password)]
    Mail --> Inbox{{Analyst Inbox}}

    Console -.-> DB[(SQLite<br/>users.db<br/>operators · API keys)]

    classDef ext fill:#0b1118,stroke:#00e5ff,color:#e6eef7,stroke-width:1px;
    classDef core fill:#111a25,stroke:#6aa6ff,color:#e6eef7,stroke-width:1px;
    class Console,ModDis,ModVal,ModDom,ModEnu,ModExi,ModSch core
    class Tor,ExifTool,APS,Mail,DB,Hidden,Inbox ext

Design tenets

Single binary host. Python 3 + Flask + SQLite. No external services required for collection.
Tor-only egress. All recon traffic is routed through the local Tor SOCKS5 proxy (127.0.0.1:9050).
Operator-attributable. Every session is bound to an authenticated operator identity stored in users.db.
Pluggable export. Findings can be exported as TXT, JSON or analyst-ready PDF.

🛰 Analyst Workflow

flowchart LR
    A[🔍 COLLECT<br/><b>Discover</b><br/>Recursive keyword scrape] --> B[🩺 TRIAGE<br/><b>Validate</b><br/>Liveness + banners]
    B --> C[📄 INSPECT<br/><b>Render</b><br/>DOM + assets]
    C --> D[💎 ENRICH<br/><b>Enumerate</b><br/>Leak hunt + fuzz]
    D --> E[📦 REPORT<br/><b>Schedule</b><br/>Auto-delivery]

    classDef step fill:#111a25,stroke:#00e5ff,color:#e6eef7,stroke-width:1.5px;
    class A,B,C,D,E step

Collect — issue a keyword query at a chosen recursion depth.
Triage — bulk-probe the catalogued endpoints to segment active vs. dead pools.
Inspect — render the DOM of high-priority targets for manual review.
Enrich — run regex-driven leak hunting and fuzz for misconfigurations.
Report — schedule recurring collection and dispatch intelligence digests by email.

📦 Installation

Prerequisites

Component	Purpose
Python 3.9+	Runtime
Tor daemon	SOCKS5 egress for all collection
ExifTool	Media metadata extraction

Linux / macOS

git clone https://github.com/prakhar0x01/Tornet_Granted.git
cd Tornet_Granted
pip install -r requirements.txt

# Install supporting binaries
sudo apt install tor exiftool          # Debian / Ubuntu
brew install tor exiftool              # macOS (Homebrew)

# Start the Tor daemon (SOCKS5 on 127.0.0.1:9050)
sudo systemctl start tor               # systemd
# — or —
sudo service tor start

Windows

git clone https://github.com/prakhar0x01/Tornet_Granted.git
cd Tornet_Granted
pip install -r requirements.txt

Then install the Windows binaries from:

Tor → https://www.torproject.org/download/tor/
ExifTool → https://exiftool.org/

Launch the console

python app.py

Open the operator console at http://127.0.0.1:5000/ and authenticate.

🛂 Bootstrap director credentials — admin / admin. Rotate immediately from the Administration → Credentials panel on first sign-in.

🔐 Authentication Model

flowchart TD
    L[Landing /home] --> S{Operator?}
    S -- No --> L
    S -- Yes --> Auth[/POST /login/]
    Auth -->|valid| D[Command Center /dashboard]
    Auth -->|invalid| Auth
    D --> Modules[Recon &amp; Forensic Modules]
    D --> Adm{Director?}
    Adm -- Yes --> AdmPanel[Roster · Provision · Rotate]
    Adm -- No --> Un[401 · Mission Aborted]

The console does not allow self-registration.
Only the admin director can provision new operators or rotate credentials.
All credentials are stored as SHA-256 digests in SQLite (instance/users.db).
Every operator is issued a stateless TORNET… API key and a 40-char secret access key.

🧪 Intelligence Modules

01 · Discover Onion URLs

Recursive scraping of dark-web indexers for keyword-relevant hidden services.

Search by keyword (e.g. markets, leaks, crypto, forums)
Tune recursion depth (1–5) to balance breadth and runtime
Export the catalogue as TXT, JSON, or analyst-ready PDF

⚠ Higher depths exponentially increase runtime. Depths ≥ 3 may take several minutes per circuit depending on ISP, network conditions and target latency.

02 · Validate Hidden Services

Single-shot or bulk-upload validation of .onion endpoints through Tor SOCKS5.

Single-target probe — returns response code & full HTTP headers
Bulk probe — .txt upload, one URL per line
Active/Dead segmentation with exportable report

03 · DOM Extraction

Static fetch of the document model of any hidden service.

Useful for inspecting markup, asset references, embedded scripts, obfuscated payloads
No JavaScript execution on the target — purely static fetch over Tor
Syntax-highlighted source view (highlight.js · Atom One Dark)

04 · Enumerate & Fingerprint

Regex-driven leak detection plus guided fuzzing of common configuration paths.

Category	Severity	Why it matters
Plaintext credentials	🔴 CRITICAL	Direct operator access
Exposed `.env` / `.git`	🔴 CRITICAL	Server attribution
Clearnet domain references	🟠 HIGH	Pivot to clearnet infra
Crypto wallet addresses	🟡 MEDIUM	Financial attribution
Email / contact vectors	🟡 MEDIUM	Operator OPSEC failure
Usernames	🔵 LOW	Persona linkage

💡 Why fuzz for server config? Historical OPSEC failures (e.g. Silk Road, AlphaBay) often stemmed from misconfigured phpinfo() pages, exposed .git directories, or default server-status endpoints. The Fuzz toggle walks the platform wordlist (internal/wordlists.txt) for these vectors.

05 · EXIF / Media Forensics

Metadata extraction from media artefacts collected from dark-web sources.

GPS coordinates, device make/model, software signatures
DateTimeOriginal, UserComment, embedded thumbnail data
All analysis happens locally — artefacts are never uploaded externally

💡 Why this matters. Adversaries communicating over dark-web chat rooms frequently exchange media files. Hidden EXIF metadata has historically exposed real-world geolocations and devices.

06 · Mission Scheduler

Cron-style scheduling of recurring reconnaissance.

Schedule discovery operations by date/time
Results delivered automatically via SMTP to a recipient inbox
Powered by APScheduler

📨 SMTP delivery requires Gmail credentials in config.txt:
email=youraddress@gmail.com
password=your-16-char-gmail-app-password
Create a Gmail App Password →

🛠 Tech Stack

Layer	Technology
Runtime	Python 3.9+
Web framework	Flask · Jinja2 templates
Sessions	Flask-Login
Persistence	SQLite 3 via Flask-SQLAlchemy
Scheduling	APScheduler (BackgroundScheduler + CronTrigger)
Anonymous egress	Tor daemon · SOCKS5 `127.0.0.1:9050`
HTTP	Requests + SOCKS adapter
DOM parsing	BeautifulSoup 4
Forensics	ExifTool
Reporting	ReportLab (PDF)
Crypto	pyOpenSSL · `hashlib` SHA-256
Frontend	Vanilla CSS design system · zero build step

🗂 Project Layout

Tornet_Granted/
├── app.py                       # Flask routes, models, scheduler
├── config.txt                   # SMTP credentials (Gmail App Password)
├── requirements.txt
├── instance/
│   └── users.db                 # SQLite operator store
├── internal/
│   ├── wordlists.txt            # Fuzz wordlist
│   ├── discover/                # Discovery scratch space
│   ├── validate/                # Validation scratch space
│   ├── details/                 # Enumeration scratch space
│   └── uploads/                 # EXIF artefact uploads
├── static/                      # Design system + assets
│   ├── css/
│   │   ├── tokens.css           # Color, type, spacing tokens
│   │   ├── components.css       # Buttons, cards, tables, pills
│   │   └── app.css              # Console shell layout
│   ├── js/app.js                # UI helpers (toast, copy, dropzone, hero net)
│   └── img/
└── templates/
    ├── base.html                # Shell extending all pages
    ├── partials/
    │   ├── _brand.html
    │   ├── _sidebar.html
    │   └── _topbar.html
    ├── pages/
    │   └── landing.html         # Public marketing page (/home)
    ├── login.html               # Operator sign-in
    ├── dashboard.html           # Command Center
    ├── discover.html            # Module 01
    ├── validate.html            # Module 02
    ├── render.html              # Module 03
    ├── details.html             # Module 04
    ├── metadata.html            # Module 05
    ├── schedule.html            # Module 06
    ├── users.html               # Admin · Operator Roster
    ├── add_user.html            # Admin · Provision Operator
    ├── update_user.html         # Admin · Rotate Credential
    └── unauthorize.html         # 401 · Mission Aborted

🎛 Operational Use Cases

🛡 Threat Intelligence Track emergence of new marketplaces, leak forums, and ransomware blogs. Establish persistent collection on adversary infrastructure.	🔬 Digital Forensics Identify operators exposed through metadata, server misconfigurations, leaked `.git` directories, or unredacted EXIF in posted imagery.	🏢 Brand Protection Detect brand impersonation, leaked customer data, and unauthorised resale of corporate intellectual property on hidden services.
🚨 CSIRT / Blue Team Pivot from observed indicators (Bitcoin addresses, contact emails, PGP keys) to attribute infrastructure across the hidden web.	🎓 Academic Research Longitudinal datasets of hidden service availability, content categorisation, and topology of the v3 onion graph.	⚖️ Authorised Investigation Structured evidence collection workflows with operator-attributable audit trails for accredited investigative units.

🤝 Contributing

Contributions from the community are very welcome.

Ways to contribute

💻 Code

Fork the repository, branch from main, submit a PR.
Match the existing code style and add tests where practical.
Open an issue first for non-trivial features so we can align on scope.

🐛 Bug reports

Include reproduction steps, expected vs. actual, and any logs.
Tag with the affected module (e.g. discover, validate, scheduler).

📝 Documentation

README clarifications, in-app copy improvements, architectural diagrams.
New analyst playbooks for specific investigative scenarios.

🧪 Testing

Run the platform against synthetic / authorised test corpora.
Report observed false-positives / false-negatives in the enumeration regexes.

🔒 Security & Disclosure

If you discover a vulnerability in TORNET GRANTED, please do not open a public issue. Email the maintainer privately and allow a reasonable window for remediation before public disclosure.

Known design considerations and explicit non-goals:

The platform does not attempt to deanonymise the Tor network itself or its users.
The fuzz module operates only against a target the operator explicitly submits.
Bootstrap credentials (admin/admin) must be rotated before any non-trivial deployment.
The session-only username check on admin routes is intentional for a self-hosted single-operator deployment — harden before multi-tenant use.

🧭 Ethical Use Policy

TORNET GRANTED is built and distributed for:

✅ Defensive cyber-security research
✅ Authorised threat intelligence collection
✅ Academic study of dark-web ecosystems
✅ Brand-protection & takedown enablement
✅ Law-enforcement use in lawful jurisdictions

It is not built for, and must not be used for:

❌ Unauthorised access to systems
❌ Harvesting illegal content
❌ Harassment, doxing, or stalking
❌ Circumvention of platform terms in jurisdictions where doing so is unlawful

Operators are solely responsible for ensuring all collection complies with local legislation, organisational policy, and the terms of any external services interacted with. The maintainers disclaim liability for misuse.

🗺 Roadmap

Scheduler v2 — extend automation to Validate, Render, and Enumerate modules.
Findings store — persistent SQLite-backed catalogue with operator-tagged history.
API — first-class REST endpoints authenticated via the existing API/secret keypair.
Operator roles — beyond admin / analyst, fine-grained capability tiers.
Threat-actor graph — pivot between artefacts (wallets ↔ onions ↔ emails).
Headless rendering — opt-in JS-rendered DOM capture for dynamic onions.

📚 Resources

📜 License

Distributed under the MIT License. See LICENSE for full text.

_{Built with focus by @prakhar0x01 · v2.0 Tactical Edition}

Name		Name	Last commit message	Last commit date
__pycache__		__pycache__
images		images
instance		instance
internal		internal
static		static
templates		templates
README.md		README.md
app.py		app.py
config.txt		config.txt
requirements.txt		requirements.txt

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TORNET GRANTED

Dark-Web Intelligence & Onion-Service Reconnaissance Platform

🎯 Mission

⚡ Why TORNET GRANTED?

🧠 Capability Matrix

🏗 Architecture

🛰 Analyst Workflow

📦 Installation

Prerequisites

Linux / macOS

Windows

Launch the console

🔐 Authentication Model

🧪 Intelligence Modules

01 · Discover Onion URLs

02 · Validate Hidden Services

03 · DOM Extraction

04 · Enumerate & Fingerprint

05 · EXIF / Media Forensics

06 · Mission Scheduler

🛠 Tech Stack

🗂 Project Layout

🎛 Operational Use Cases

🛡 Threat Intelligence

🔬 Digital Forensics

🏢 Brand Protection

🚨 CSIRT / Blue Team

🎓 Academic Research

⚖️ Authorised Investigation

🤝 Contributing

💻 Code

🐛 Bug reports

📝 Documentation

🧪 Testing

🔒 Security & Disclosure

🧭 Ethical Use Policy

🗺 Roadmap

📚 Resources

📜 License

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`TORNET GRANTED`