ScamIntelLogs

---

📋 Overview

ScamIntelLogs is a public intelligence archive containing leaked, dumped, and collected data from cryptocurrency scam operations. This repository preserves evidence that scammers typically delete to evade accountability.

What's Inside

Data Type	Description
💬 Internal Chats	Telegram group conversations, private messages, operational discussions
🎛️ Admin Panels	Screenshots, configs, and audits of scam infrastructure
👥 Scammer Identities	Telegram IDs, usernames, wallet addresses, known aliases
💰 Theft Records	Victim wallets, stolen amounts, transaction hashes
🎨 Phishing Assets	Design templates, clone sites, drainer configs
📊 Financial Flows	Payment records, affiliate payouts, laundering paths
🌐 Infrastructure	Domains, hosting providers, bot tokens, API endpoints

---

⚖️ Methodology

We do NOT hack, attack, bruteforce, or compromise any systems.

All data is collected through passive intelligence gathering:

• 🔍 OSINT — Open-source intelligence from public sources
• 📥 Leaked Data — Community-submitted dumps from insiders
• 🕵️ Social Engineering Artifacts — Data exposed by scammers themselves
• 📡 Passive Monitoring — Public channels, forums, blockchain analysis
• 🎁 Voluntary Submissions — Victims and researchers sharing evidence

When admin panel access is obtained (through leaks or misconfiguration), we conduct non-destructive audits to document infrastructure without modification.

---

🎯 Purpose

Who Benefits

Audience	Use Case
🔬 Security Researchers	Study scam TTPs, drainer mechanics, social engineering
👮 Law Enforcement	Evidence for investigations and prosecutions
📰 Journalists	Exposés on organized crypto fraud
⚖️ Victims	Identify attackers, support recovery efforts
🛡️ Threat Intel Teams	IOCs, infrastructure patterns, actor tracking

Why Archive This

Scammers systematically destroy evidence — deleting Telegram chats, burning wallets, rotating domains. This archive ensures:

• Permanent Record — Evidence survives deletion attempts
• Pattern Analysis — Cross-reference actors across operations
• Accountability — Public exposure deters future activity
• Community Defense — Shared knowledge protects potential victims

---

📂 Repository Structure

Each scam operation gets its own directory. Inside, evidence is organized by type:

TeamName/
├── chat/              # Internal Telegram group conversations
├── channel/           # Public channel announcements
├── successful_thefts/ # Confirmed theft records (wallets, tx hashes, amounts)
├── designs/           # Phishing page templates and clone assets
├── payments/          # Payment logs, affiliate payouts
├── scammers_login.txt # Known participant Telegram IDs and usernames
├── domains.txt        # Associated phishing domains
├── iocs.json          # Machine-readable indicators of compromise
└── index.html         # Visual evidence browser for this team

Not every team has all folders — it depends on what evidence was collected. The root index.html lists all archived operations with descriptions and direct links to every subfolder.

Browse the full archive

---

🔗 Related Projects

This archive is part of the PhishDestroy threat intelligence ecosystem:

Project	Description
destroylist	70,000+ malicious domains blocklist
PhishDestroy Bot	Telegram bot for scam reporting
phishdestroy.io	Main project website

---

🤝 Contributing

We accept submissions of scam-related intelligence:

What We Accept

• Telegram chat exports (JSON/HTML)
• Admin panel screenshots/configs
• Scammer identity information
• Domain/infrastructure data
• Wallet addresses and transaction evidence

How to Submit

Option 1: Pull Request

git clone https://github.com/phishdestroy/ScamIntelLogs.git
# Add data to new directory: NewTeamName/
git commit -m "Add NewTeamName data"
# Submit PR

Option 2: Anonymous Submission

• Telegram: @PhishDestroy_bot
• We protect source confidentiality

Submission Guidelines

• Remove personal victim data (redact if necessary)
• Include context: team name, operation type, timeframe
• Provide source attribution if comfortable
• Structure data in readable format

---

⚠️ Disclaimer

• This repository contains evidence of criminal activity for research purposes
• Data is provided "as-is" without verification guarantees
• Do not use this data for harassment, vigilante justice, or illegal purposes
• Victim PII should be handled responsibly
• We are not responsible for misuse of this information

---

📜 License

MIT License — Free to use, clone, modify, and distribute.

Law enforcement agencies are explicitly authorized to use this data for investigations.

---