analyzing-ransomware-payment-wallets

analyzing-ransomware-payment-wallets is a skill for Claude Code, Codex from Youngmaidainon/Agent-Level-Up. It costs 75 tokens per session (1,802 once invoked), scanned A, a copy of analyzing-ransomware-payment-wallets, MIT.

A guide to tracing cryptocurrency payments made to ransomware wallets using public blockchain records. It follows transactions, groups related wallets, and tracks funds through mixers and exchanges.

In plain words
What is it for?
Use it to investigate ransom payments, support attribution and law-enforcement cases, and provide fund-flow evidence for compliance, legal, or insurance work.
Why use it?
It helps investigators understand where ransom money went and connect payment infrastructure across incidents.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Use it to investigate ransom payments, support attribution and law-enforcement cases, and provide fund-flow evidence for compliance, legal, or insurance work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/youngmaidainon/agent-level-up/analyzing-ransomware-payment-wallets
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add Youngmaidainon/Agent-Level-Up --skill analyzing-ransomware-payment-wallets
Clone the repo
git clone --depth 1 https://github.com/Youngmaidainon/Agent-Level-Up

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for analyzing-ransomware-payment-wallets

README.md
[![agentmods](https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/analyzing-ransomware-payment-wallets/github.svg)](https://agentmods.dev/skills/youngmaidainon/agent-level-up/analyzing-ransomware-payment-wallets)
Your own site
<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/analyzing-ransomware-payment-wallets"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/analyzing-ransomware-payment-wallets/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for analyzing-ransomware-payment-wallets

Your own site · 80×15
<a href="https://agentmods.dev/skills/youngmaidainon/agent-level-up/analyzing-ransomware-payment-wallets"><img src="https://agentmods.dev/badge/skills/youngmaidainon/agent-level-up/analyzing-ransomware-payment-wallets.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,802 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 86% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00075 $0.01802
Opus 5 $0.00037 $0.00901
Sonnet 5 $0.00015 $0.00360
Haiku 4.5 $0.00007 $0.00180

Measured 6d ago against content hash 8b01cdd18216, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

analyzing-ransomware-payment-wallets scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/agent.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

resp = requests.get(url, timeout=30)
Origin

This is a copy

86% identical to analyzing-ransomware-payment-wallets — 33 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

cyber-security/ctf/analyzing-ransomware-payment-wallets/SKILL.md · 200 lines

How it starts

The opening of the file, as written. The whole thing — 200 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing Ransomware Payment Wallets

When to Use

  • An organization has been hit by ransomware and the ransom note contains a Bitcoin or cryptocurrency wallet address that needs investigation
  • Law enforcement or incident responders need to trace where ransom payments flowed after the victim paid
  • Threat intelligence analysts are attributing ransomware campaigns by clustering payment infrastructure across incidents
  • Investigators need to determine if a ransomware group is reusing wallet infrastructure across multiple victims
  • Compliance or legal teams need evidence of fund flows for prosecution, sanctions enforcement, or insurance claims

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.

Prerequisites

  • Python 3.8+ with requests, json, and hashlib libraries
  • Access to blockchain explorer APIs (blockchain.com, WalletExplorer.com, Blockstream.info)
  • Familiarity with Bitcoin transaction model (UTXOs, inputs, outputs, change addresses)
  • Understanding of common obfuscation techniques (mixers, tumblers, peel chains, cross-chain swaps)
  • Optional: Chainalysis Reactor license for enterprise-grade cluster analysis
  • Optional: OXT.me for advanced transaction graph visualization

Workflow

Step 1: Extract Wallet Address from Ransom Note

Parse 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)

Step 2: Query Blockchain Explorer for Transaction History

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", []),
    }

Read the full file on GitHub · 200 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 200 lines · 75 tokens per session scan A 8b01cdd18216

Subscribe to this mod's changes

analyzing-ransomware-payment-wallets is a skill published in the GitHub repository Youngmaidainon/Agent-Level-Up (3 stars, last pushed 15d ago), licensed MIT. It adds 75 tokens to every session and 1,802 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 86% identical to analyzing-ransomware-payment-wallets, differing in 33 lines, and is treated as a copy.

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