Trustwave SpiderLabs Uncovers Unique Cybersecurity Risks in Today's Tech Landscape. Learn More

Trustwave SpiderLabs Uncovers Unique Cybersecurity Risks in Today's Tech Landscape. Learn More

Services
Capture
Managed Detection & Response

Eliminate active threats with 24/7 threat detection, investigation, and response.

twi-managed-portal-color
Co-Managed SOC (SIEM)

Maximize your SIEM investment, stop alert fatigue, and enhance your team with hybrid security operations support.

twi-briefcase-color-svg
Advisory & Diagnostics

Advance your cybersecurity program and get expert guidance where you need it most.

tw-laptop-data
Penetration Testing

Test your physical locations and IT infrastructure to shore up weaknesses before exploitation.

twi-database-color-svg
Database Security

Prevent unauthorized access and exceed compliance requirements.

twi-email-color-svg
Email Security

Stop email threats others miss and secure your organization against the #1 ransomware attack vector.

tw-officer
Digital Forensics & Incident Response

Prepare for the inevitable with 24/7 global breach response in-region and available on-site.

tw-network
Firewall & Technology Management

Mitigate risk of a cyberattack with 24/7 incident and health monitoring and the latest threat intelligence.

Solutions
BY TOPIC
Microsoft Exchange Server Attacks
Stay protected against emerging threats
Rapidly Secure New Environments
Security for rapid response situations
Securing the Cloud
Safely navigate and stay protected
Securing the IoT Landscape
Test, monitor and secure network objects
Why Trustwave
About Us
Awards and Accolades
Trustwave SpiderLabs Team
Trustwave Fusion Security Operations Platform
Trustwave Security Colony
Partners
Technology Alliance Partners
Key alliances who align and support our ecosystem of security offerings
Trustwave PartnerOne Program
Join forces with Trustwave to protect against the most advance cybersecurity threats
SpiderLabs Blog

Cuckoo for Cuckoo Box

Cuckoo Sandbox is an automated, open source, malware analysis system that started as a Google Summer of Code project in 2010 and recently released version 0.3 in December of 2011. I am a big fan of the project, and I am excited to see what they have up their sleeves for subsequent releases. The ability to create customized analysis packages and to extend existing code to fit unique use cases couldn't be easier. Documentation exists and is actually helpful.

Now that I've sung the Cuckoo praise song, I wanted to pass along a bit of help to anyone who wants to get it running on Mac OS X. Now to be fair the documentation recommends a GNU/Linux setup, preferably Ubuntu. So while Mac isn't the first choice, you can definitely get it up and running with minimal effort.

Specifically the issue I ran into came when I was installing two of the required Python libraries: python-magic and pyssdeep. Even if you don't have these libraries installed at all, everything will still run, but you will miss out on file type info and fuzzy hashing goodness in your analysis reports. After installing both libraries I still wasn't getting the output I was expecting. I dug around and discovered that there are multiple versions of both of these libraries and the interfaces to them are not identical. How unfortunate. So, to keep a long story short, I modified the code of file.py located at cuckoo/cuckoo/processing/file.py starting on line 109 to the following (my additions in red):

    def _get_ssdeep(self):                                                                                                                                                                   
"""
Generates the ssdeep fuzzy hash of the file.
@return: ssdeep fuzzy hash of the file
"""
if not IS_SSDEEP:
return None

try:
return ssdeep.ssdeep().hash_file(self.file_path)
except:
try:
import ssdeep
return ssdeep.hash_from_file(self.file_path)
except:
return None
return None

def _get_type(self):
"""
Retrieves the libmagic type of the file.
@return: file type
"""
if not IS_MAGIC:
return None

try:
ms = magic.open(magic.MAGIC_NONE)
ms.load()
return ms.buffer(self.file_data)
except:
try:
return magic.Magic().from_file(self.file_path)
except:
return None
return None

Assuming you have both libraries installed correctly to begin with, which ever version you chose, this should work for you either way. Happy Hunting!

Latest SpiderLabs Blogs

Why We Should Probably Stop Visually Verifying Checksums

Hello there! Thanks for stopping by. Let me get straight into it and start things off with what a checksum is to be inclusive of all audiences here, from Wikipedia [1]:

Read More

Agent Tesla's New Ride: The Rise of a Novel Loader

Malware loaders, critical for deploying malware, enable threat actors to deliver and execute malicious payloads, facilitating criminal activities like data theft and ransomware. Utilizing advanced...

Read More

Evaluating Your Security Posture: Security Assessment Basics

This is Part 4 in my ongoing project to cover 30 cybersecurity topics in 30 weekly blog posts. The full series can be found here.

Read More