malduck 4.4.1

Malduck is your ducky companion in malware analysis journeys

:duck: Malduck

Installation ⚙️ | Docs 📚

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Malduck is your ducky companion in malware analysis journeys. It is mostly based on Roach project, which derives many concepts from mlib library created by Maciej Kotowicz. The purpose of fork was to make Roach independent from Cuckoo Sandbox project, but still supporting its internal procmem format.

Malduck provides many improvements resulting from CERT.pl codebase, making scripts written for malware analysis purposes much shorter and more powerful.

Features

• Cryptography (AES, Blowfish, Camelie, ChaCha20, Serpent and many others)
• Compression algorithms (aPLib, gzip, LZNT1 (RtlDecompressBuffer))
• Memory model objects (work on memory dumps, PE/ELF, raw files and IDA dumps using the same code)
• Extraction engine (modular extraction framework for config extraction from files/dumps)
• Fixed integer types (like Uint64) and bitwise utilities
• String operations (chunks, padding, packing/unpacking etc)
• Hashing algorithms (CRC32, MD5, SHA1, SHA256)

Usage examples

AES

from malduck import aes

key = b'A'*16
iv = b'B'*16
plaintext = b'data'*16
ciphertext = aes.cbc.encrypt(key, iv, plaintext)

Serpent

from malduck import serpent

key = b'a'*16
iv = b'b'*16
plaintext = b'data'*16
ciphertext = serpent.cbc.encrypt(key, plaintext, iv)

APLib decompression

from malduck import aplib

# Headerless compressed buffer
aplib(b'T\x00he quick\xecb\x0erown\xcef\xaex\x80jumps\xed\xe4veur`t?lazy\xead\xfeg\xc0\x00')

Fixed integer types

from malduck import DWORD

def sdbm_hash(name: bytes) -> int:
    hh = 0
    for c in name:
        # operations on the DWORD type produce a dword, so a result
        # is also a DWORD.
        hh = DWORD(c) + (hh << 6) + (hh << 16) - hh
    return int(hh)

Extractor engine - module example

from malduck import Extractor

class Citadel(Extractor):
    family = "citadel"
    yara_rules = ("citadel",)
    overrides = ("zeus",)

    @Extractor.string("briankerbs")
    def citadel_found(self, p, addr, match):
        log.info('[+] `Coded by Brian Krebs` str @ %X' % addr)
        return True

    @Extractor.string
    def cit_login(self, p, addr, match):
        log.info('[+] Found login_key xor @ %X' % addr)
        hit = p.uint32v(addr + 4)
        print(hex(hit))
        if p.is_addr(hit):
            return {'login_key': p.asciiz(hit)}

        hit = p.uint32v(addr + 5)
        print(hex(hit))
        if p.is_addr(hit):
            return {'login_key': p.asciiz(hit)}

Memory model objects

from malduck import procmempe

with procmempe.from_file("notepad.exe", image=True) as p:
    resource_data = p.pe.resource("NPENCODINGDIALOG")

How to start

Install it by running

pip install malduck

More documentation can be found on readthedocs.