analyzing-ransomware-encryption-mechanisms
Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify…
Skill by mukul975
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
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- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/analyzing-ransomware-encryption-mechanisms
What's inside
- Skill name
analyzing-ransomware-encryption-mechanisms- Description
- Analyzes encryption algorithms, key management, and file encryption routines used by ransomware families to assess decryption feasibility, identify implementation weaknesses, and support recovery efforts. Covers AES, RSA, ChaCha20, and hybrid encryption schemes. Activates for requests involving ransomware cryptanalysis, encryption analysis, key recovery assessment, or ransomware decryption feasibility.
- License
- Apache-2.0
- Instructions
- 313 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (4)
- LICENSE
- SKILL.md
- api-reference.md · references/
- agent.py · scripts/
SKILL.md (first lines)
# 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:
```python
# 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()]}")
```
```
Common Ransomware Encryption Schemes:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
AES-256-CBC + RSA-2048: Most common hybrid scheme (LockBit, REvil, Conti)
AES-256-CTR + RSA-4096: Stream cipher mode variant (BlackCat/ALPHV)
ChaCha20 + RSA-4096: Modern stream cipher (Hive, Royal)
Salsa20 + ECDH: Curve25519 key exchange (Babuk)
AES-128-ECB: Weak mode - potential decryption via known-plaintext
XOR-only: Trivial encryption - always recoverable
Custom algorithm: Often contains implementation flaws
```
### Step 2: Analyze Key Generation and Management
Reverse engineer how encryption keys are generated and stored:
```
Key Management Patterns in Ransomware:
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. STRONG (no recovery possible without key):
- Per-file AES key generated with CryptGenRandom
- AES key encrypted with embedded RSA public key
- Encrypted key appended to each file or stored separately
- RSA private key held only by attacker's C2 server
2. WEAK (potential recovery):
- AES key derived from predictable seed (timestamp, PID)
- Same AES key used for all files (single key compromise = full recovery)
- Key transmitted to C2 before encryption starts (PCAP may contain key)
- XOR with short repeating key (brute-forceable)
- PRNG seeded with GetTickCount or time() (limited keyspace)
3. FLAWED IMPLEMENTATION:
- ECB mode (preserves plaintext patterns)
- Initialization vector (IV) reuse across files
- Key stored in plaintext in memory (recoverable from memory dump)
- Partial encryption (only first N bytes encrypted)
```
### Step 3: Examine File Encryption Routine
Reverse engineer the file processing logic:
```c
// Typical ransomware file encryption flow (decompiled pseudo-code from Ghidra):
void encrypt_file(char *filepath) {
// 1. Check file extension against target list
if (!is_target_extension(filepath)) return;
// 2. Generate per-file AES key (32 bytes for AES-256)
BYTE aes_key[32];
CryptGenRandom(hProv, 32, aes_key);
// 3. Generate random IV (16 bytes)
BYTE iv[16];
CryptGenRandom(hProv, 16, iv);
// 4. Read file contents
HANDLE hFile = CreateFile(filepath, GENERIC_READ, ...);
BYTE *plaintext = read_entire_file(hFile);
// 5. Encrypt with AES-256-CBC
aes_cbc_encrypt(plaintext, file_size, aes_key, iv);
// 6. Encrypt AES key with RSA public key
BYTE encrypted_key[256]; // RSA-2048 output
rsa_encrypt(aes_key, 32, rsa_pubkey, encrypted_key);From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.
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Signals
- Stars
- 34,941
- Forks
- 4,256
- Open issues
- 24
- Last commit (this folder)
- Jun 20, 2026 (4 months ago)
- Last release
- Jun 22, 2026 (4 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- Apache-2.0
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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analyzing-ransomware-encryption-mechanisms skill. Agent Mart. https://agentmart.dev/skills/mukul975-analyzing-ransomware-encryption-mechanisms (last updated 2026-10-24)