Traces ransomware cryptocurrency payment flows using blockchain analysis tools such as Chainalysis Reactor, WalletExplorer, and blockchain.com APIs. Identifies wallet clusters, tracks fund movement through mixers and exchanges, and supports law enforcement attribution. Activates for requests involving ransomware payment tracing, bitcoin wallet analysis, cryptocurrency forensics, or blockchain intelligence gathering.
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Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionanalyzing-ransomware-payment-walletsExecute the skills CLI command in your project's root directory to begin installation:
Fetches analyzing-ransomware-payment-wallets from mukul975/Anthropic-Cybersecurity-Skills and configures it for Cursor.
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Confirm successful installation by checking the skill directory location:
Restart Cursor to activate analyzing-ransomware-payment-wallets. Access via /analyzing-ransomware-payment-wallets in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
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| name | analyzing-ransomware-payment-wallets |
| description | 'Traces ransomware cryptocurrency payment flows using blockchain analysis tools such as Chainalysis Reactor, WalletExplorer, and blockchain.com APIs. Identifies wallet clusters, tracks fund movement through mixers and exchanges, and supports law enforcement attribution. Activates for requests involving ransomware payment tracing, bitcoin wallet analysis, cryptocurrency forensics, or blockchain intelligence gathering. ' |
| domain | cybersecurity |
| subdomain | ransomware-defense |
| tags | - ransomware - blockchain - cryptocurrency - forensics - threat-intelligence - bitcoin |
| version | 1.0.0 |
| author | mahipal |
| license | Apache-2.0 |
| nist_csf | - PR.DS-11 - RS.MA-01 - RC.RP-01 - PR.IR-01 |
Do not use this skill for live payment interception or to interact directly with ransomware operators. All analysis should be passive and read-only against public blockchain data.
requests, json, and hashlib librariesParse the ransom note to identify the payment address(es):
Common address formats:
Bitcoin (P2PKH): 1A1zP1eP5QGefi2DMPTfTL5SLmv7DivfNa (starts with 1)
Bitcoin (P2SH): 3J98t1WpEZ73CNmQviecrnyiWrnqRhWNLy (starts with 3)
Bitcoin (Bech32): bc1qar0srrr7xfkvy5l643lydnw9re59gtzzwf5mdq (starts with bc1)
Monero: 4... (95 characters, much harder to trace)
Ethereum: 0x... (40 hex chars)
Retrieve all transactions associated with the wallet:
import requests
def get_wallet_transactions(address):
"""Query blockchain.com API for address transactions."""
url = f"https://blockchain.info/rawaddr/{address}"
resp = requests.get(url, timeout=30)
resp.raise_for_status()
data = resp.json()
return {
"address": address,
"n_tx": data.get("n_tx", 0),
"total_received_satoshi": data.get("total_received", 0),
"total_sent_satoshi": data.get("total_sent", 0),
"final_balance_satoshi": data.get("final_balance", 0),
"transactions": data.get("txs", []),
}
Trace outputs from the ransom wallet to downstream addresses:
Fund Flow Analysis:
━━━━━━━━━━━━━━━━━━
Victim Payment ──► Ransom Wallet ──► Consolidation Wallet
├─► Mixer/Tumbler Service
├─► Exchange Deposit Address
└─► Peel Chain (sequential small outputs)
Key indicators:
- Consolidation: Multiple ransom payments aggregated into one wallet
- Peel chains: Sequential transactions with diminishing outputs
- Mixer usage: Funds sent to known mixer addresses (Wasabi, Samourai, ChipMixer)
- Exchange cashout: Deposits to known exchange wallets (Binance, Kraken hot wallets)
Check addresses against known ransomware infrastructure:
# Check WalletExplorer for entity identification
def check_wallet_explorer(address):
url = f"https://www.walletexplorer.com/api/1/address?address={address}&caller=research"
resp = requests.get(url, timeout=30)
data = resp.json()
return {
"wallet_id": data.get("wallet_id"),
"label": data.get("label", "Unknown"),
"is_exchange": data.get("is_exchange", False),
}
Compile findings into a structured intelligence report:
RANSOMWARE WALLET ANALYSIS REPORT
====================================
Ransom Address: bc1q...xyz
Family Attribution: LockBit 3.0 (based on ransom note format)
Total Received: 4.25 BTC ($178,500 at time of payment)
Total Sent: 4.25 BTC (wallet fully drained)
Number of Payments: 3 (likely 3 separate victims)
FUND FLOW:
Payment 1: 1.5 BTC → Consolidation wallet → Binance deposit
Payment 2: 1.0 BTC → Wasabi Mixer → Unknown
Payment 3: 1.75 BTC → Peel chain (12 hops) → OKX deposit
CLUSTER ANALYSIS:
Related wallets: 47 addresses identified in same cluster
Total cluster volume: 156.3 BTC ($6.5M USD)
First activity: 2024-01-15
Last activity: 2024-09-22
| Term | Definition |
|---|---|
| UTXO | Unspent Transaction Output; the fundamental unit of Bitcoin that tracks ownership through a chain of transactions |
| Cluster Analysis | Grouping multiple Bitcoin addresses believed to be controlled by the same entity using common-input-ownership and change-address heuristics |
| Peel Chain | A laundering pattern where funds are sent through many sequential transactions, each peeling off a small amount to a new address |
| CoinJoin/Mixer | Privacy techniques that combine multiple users' transactions to obscure the link between sender and receiver |
| Common Input Ownership | Heuristic that assumes all inputs to a single transaction are controlled by the same entity |
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
mukul975/Anthropic-Cybersecurity-Skills
analyzing-ransomware-payment-wallets is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend analyzing-ransomware-payment-wallets for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added analyzing-ransomware-payment-wallets from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: analyzing-ransomware-payment-wallets is focused, and the summary matches what you get after install.
analyzing-ransomware-payment-wallets has been reliable in day-to-day use. Documentation quality is above average for community skills.
analyzing-ransomware-payment-wallets fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend analyzing-ransomware-payment-wallets for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Keeps context tight: analyzing-ransomware-payment-wallets is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added analyzing-ransomware-payment-wallets from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in analyzing-ransomware-payment-wallets — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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