analyzing-ransomware-encryption-mechanisms

analyzing-ransomware-encryption-mechanisms is a skill for Claude Code from Mikaru0Mystic/sectinel. It costs 79 tokens per session (3,172 once invoked), scanned A, a copy of analyzing-ransomware-encryption-mechanisms, Apache-2.0.

A guide to examining how ransomware encrypts files, including its algorithms, keys, and implementation details. Ransomware is malicious software that blocks access to files, usually by encrypting them.

In plain words
What is it for?
Use it to reverse-engineer samples, test encryption routines, compare encrypted files with their originals, assess decryption options, and develop a decryptor when a weakness is found.
Why use it?
It helps determine whether recovery may be possible without paying, such as when the ransomware has a coding or key-management weakness. It also supports identifying the ransomware family and checking for existing decryptors.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the cybersecurity-skills plugin — 56 skills shipped together

Good fit Use it to reverse-engineer samples, test encryption routines, compare encrypted files with their originals, assess decryption options, and develop a decryptor when a weakness is found.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mikaru0mystic/sectinel/analyzing-ransomware-encryption-mechanisms
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 Mikaru0Mystic/sectinel --skill analyzing-ransomware-encryption-mechanisms
Clone the repo
git clone --depth 1 https://github.com/Mikaru0Mystic/sectinel

Made for: Claude Code.

Or install cybersecurity-skills, the plugin that ships this one along with the rest of its 56 skills.

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-encryption-mechanisms

README.md
[![agentmods](https://agentmods.dev/badge/skills/mikaru0mystic/sectinel/analyzing-ransomware-encryption-mechanisms/github.svg)](https://agentmods.dev/skills/mikaru0mystic/sectinel/analyzing-ransomware-encryption-mechanisms)
Your own site
<a href="https://agentmods.dev/skills/mikaru0mystic/sectinel/analyzing-ransomware-encryption-mechanisms"><img src="https://agentmods.dev/badge/skills/mikaru0mystic/sectinel/analyzing-ransomware-encryption-mechanisms/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-encryption-mechanisms

Your own site · 80×15
<a href="https://agentmods.dev/skills/mikaru0mystic/sectinel/analyzing-ransomware-encryption-mechanisms"><img src="https://agentmods.dev/badge/skills/mikaru0mystic/sectinel/analyzing-ransomware-encryption-mechanisms.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,172 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% 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 $0.00079 $0.03172
Opus 5 $0.00039 $0.01586
Sonnet 5 $0.00016 $0.00634
Haiku 4.5 $0.00008 $0.00317

Measured 11d ago against content hash 936a2e3845bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

analyzing-ransomware-encryption-mechanisms scanned grade A with 0 findings 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 11d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

This is a copy

100% identical to analyzing-ransomware-encryption-mechanisms — 14 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.

arsenal/Anthropic-Cybersecurity-Skills/skills/analyzing-ransomware-encryption-mechanisms/SKILL.md · 338 lines

How it starts

The opening of the file, as written. The whole thing — 338 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Analyzing Ransomware Encryption Mechanisms

When to Use

  • A ransomware infection has occurred and recovery requires understanding the encryption scheme used
  • Assessing whether decryption is possible without paying the ransom (implementation flaws, known decryptors)
  • Reverse engineering ransomware to identify the encryption algorithm, key derivation, and key storage mechanism
  • Developing a decryptor tool when a weakness in the ransomware's cryptographic implementation is identified
  • Classifying a ransomware sample by its encryption approach to attribute it to a known family

Do not use for production data recovery operations without first verifying the decryption method on test copies of encrypted files.

Prerequisites

  • Ghidra or IDA Pro for reverse engineering the ransomware binary
  • Python 3.8+ with pycryptodome library for testing encryption/decryption routines
  • Sample encrypted files and their corresponding plaintext originals (known-plaintext pairs)
  • Access to the ransomware binary (unpacked if applicable)
  • Familiarity with symmetric (AES, ChaCha20) and asymmetric (RSA) cryptographic algorithms
  • NoMoreRansom.org database for checking existing free decryptors

Workflow

Step 1: Identify the Encryption Algorithm

Determine which cryptographic algorithm the ransomware uses:

# Check for Windows Crypto API usage in imports
import pefile

pe = pefile.PE("ransomware.exe")

crypto_apis = {
    "CryptAcquireContextA": "Windows CryptoAPI",
    "CryptAcquireContextW": "Windows CryptoAPI",
    "CryptGenKey": "Windows CryptoAPI key generation",
    "CryptEncrypt": "Windows CryptoAPI encryption",
    "CryptImportKey": "Windows CryptoAPI key import",
    "BCryptOpenAlgorithmProvider": "Windows CNG (modern crypto)",
    "BCryptEncrypt": "Windows CNG encryption",
    "BCryptGenerateKeyPair": "Windows CNG asymmetric key gen",
}

print("Crypto API Imports:")
for entry in pe.DIRECTORY_ENTRY_IMPORT:
    for imp in entry.imports:
        if imp.name and imp.name.decode() in crypto_apis:
            print(f"  {entry.dll.decode()} -> {imp.name.decode()}: {crypto_apis[imp.name.decode()]}")

Read the full file on GitHub · 338 lines

Files

What ships with it

3 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. 11d ago First seen · 338 lines · 79 tokens per session scan A 936a2e3845bd

Subscribe to this mod's changes

analyzing-ransomware-encryption-mechanisms is a skill published in the GitHub repository Mikaru0Mystic/sectinel (11 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 79 tokens to every session and 3,172 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to analyzing-ransomware-encryption-mechanisms, differing in 14 lines, and is treated as a copy.

Related

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analyzing-ransomware-encryption-mechanisms

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