Daily Blog #724: Project Adaz testing part 2

Hello Reader, 

When we last left off I got project adaz to run on my Windows 11 system, but once I launched terraform I got an error. 

 Error running command '/bin/bash -c 'source venv/bin/activate && ANSIBLE_HOST_KEY_CHECKING=false ansible-playbook
│ elasticsearch-kibana.yml -v'': exit status 1. Output: The system cannot find the path specified.

Now this does not mean that terraform didn't create any systems, it absolutely did. 

 

  What it does mean is that Ansible was not able to configure them, which is 1/2 of the solution. I'm running this from the windows command line (yes I could do this in linux or on a mac but the point is many of you are running on windows) so I need to modify what Ansible is calling out to so this will work. 

I've been looking up solutions that are portable (make a PR back to adaz when I'm done) but so far the quick help from google and chat gpt 4o haven't seen my newly defined windows variables carry over. So I'm going to try again tomrrow with o1 and see if we can figure it out!

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Daily Blog #723: Sunday Funday 1/19/25

 

Hello Reader,

It's Sunday! That means it's time for another challenge. Let's change our focus to desktop application artifacts left behind from Chat GPT! Everyone is using these AI tools and many people are going to leave evidence behind in their usage!

The Prize:

$100 Amazon Giftcard

The Rules:

1. You must post your answer before Friday 1/24/25 7PM CST (GMT -5)
2. The most complete answer wins
3. You are allowed to edit your answer after posting
4. If two answers are too similar for one to win, the one with the earlier posting time wins
5. Be specific and be thoughtful
6. Anonymous entries are allowed, please email them to dlcowen@gmail.com. Please state in your email if you would like to be anonymous or not if you win.
7. In order for an anonymous winner to receive a prize they must give their name to me, but i will not release it in a blog post
8. AI assistance is welcomed but if a post is deemed to be entirely AI written it will not qualify for a prize. 

The Challenge:

Determine how to extract chat history out of the Chat GPT desktop app and what other data you can extract that would useful in an investigation (user name, login times, etc..)

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Daily Blog #722: Solution Saturday 1/18/25

Hello Reader,

I love it when we get new people in the field participate in Sunday Fundays. Not only do we get new people interested in research, validation and testing (which we so badly need) but we get to bring new voices into the conversation. This week I’m happy to announce Chris Eng as our winner with his very first submission!

The Challenge:

With so many of us relying on SRUM for so many different uses its time to do some validation on the counters so many people cite. For this challenge you will test and validate the following SRUM collected metrics and document if they accurately capture the data or if there is a skew present. 

Use cases to test and validate on Windows 11 or Windows 10 but you must document which:

1. Copying data between two drives using copy and paste (look for disk read and write activity )

2. Uploading data to an online service of your choice (look for process network traffic)

3. Wiping files (look for disk read and write activity)

The winning answer:

You can read Chris’s entry here:

https://ogmini.github.io/2025/01/13/David-Cowen-Sunday-Funday-SRUM.html

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Daily Blog #721: The new hardest question to answer in an incident

 

Hello Reader,

When an attacker compromises a single user’s credentials, the immediate concern is no longer limited to that user’s inbox or workstation. Instead, it can quickly expand to the entire ecosystem of externally hosted services and apps connected to that account. This challenge poses several unique problems:

1. Identification of All Linked Services

Many organizations lack a centralized, real-time inventory of the external services each login has access to. As a result, the incident response team must quickly piece together which third-party platforms are integrated with the compromised account—an often gargantuan task.

2. Visibility Gaps

Even when SSO or identity management systems are in place, visibility might be limited. Some SaaS vendors offer only basic logs, making it difficult to determine if the attacker accessed or manipulated data within those services. Some offer no logs at all!

3. Third-Party Risk Management

Security posture assessments and vendor questionnaires help, but they don’t always guarantee robust incident response capabilities from each third-party. If data was accessed or stolen, companies must coordinate with multiple external providers to understand the breach’s scope, which can slow down containment efforts. Sometimes just knowing who to contact at the individual vendor in the event of an incident can take days. 

4. Regulatory and Compliance Overlaps

Access to third-party systems often means multiple compliance regimes could be in play (e.g., HIPAA, GDPR, PCI DSS). Failing to account for these can lead to significant fines, reputational damage, and legal complications.

So if you are trying to determine where you should focus your teams attention to be prepared for the next incident, start the long journey to building the catalog, knowledge and contacts to be able to answer this question on demand. 

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Daily Blog #720: Spotlight on zeltser challenge participant - Chris Eng

 

Hello Readers,

This week, we’re excited to shine the spotlight on another Zeltser Challenge participant: Chris Eng!

Chris is a fellow digital forensics enthusiast who got his Master’s at Champlain College. He has been sharing his journey—and plenty of insightful research—over on his blog: ogmini.github.io. Whether you’re new to forensics or an experienced professional, his posts offer a glimpse into both his academic and practical experiences, including:

• Transitioning into Digital Forensics: Chris discusses how the Champlain Master’s program shaped his approach to investigations, the tools he’s learning, and how he’s applying his newly acquired skills to real-world scenarios.

• Notepad State Files: One of his standout research topics dives into the forensic artifacts left behind by Notepad, shedding light on how state files can reveal a surprising amount of information during investigations.

I’ve known Chris for a while, and it’s been fantastic to watch him grow as a practitioner—now the rest of the community gets to witness it as well.

So here’s to you, Chris! I hope everyone reading takes the time to check out his blog and see what he’s been working on. 

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Daily Blog #719: Installing project adaz

 

 

Hello Reader,

Following up on our last post, I’m now testing the installation process for Project Adaz to see if it’s still functional. While the project is marked as "maintained," confirming it’s installable on a Windows 11 system is a different matter entirely.

Below are my updated installation instructions to ensure a smoother setup:

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Updated Installation Instructions for Project Adaz

1. Clone the Repository
   Assuming you already have Git installed, create a directory for the project, then run the following command:

   git clone https://github.com/christophetd/Adaz.git
   

2. Set Up the Python Environment
   Navigate to the newly created adaz directory and execute the following commands:

   python3 -m venv ansible/venv
   ./ansible/venv/bin/activate
   pip install -r ./ansible/requirements.txt
   deactivate
   

3. Prepare Terraform
   Download Terraform and extract it to the terraform directory within the adaz project folder.

4. Initialize Terraform
   Run the following commands:

   cd terraform
   terraform init
   

5. Set Up Azure CLI
   Ensure the Azure CLI is installed and log in to your desired Azure account using:

   az login
   

6. Generate an SSH Key (if needed)
   If you don’t already have an SSH key, generate one and store it in the .ssh directory. On Windows 11, run the following command in the terminal:

   ssh-keygen
   

   Make sure to name the key id_rsa and avoid accepting the default name.

7. Apply Terraform Configuration
   Navigate to the terraform directory and execute:

   terraform apply
   

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Once these steps are complete, Terraform will build an Active Directory-enabled network with an ELK log forwarder to support your project needs.

Tomorrow we can see if it was succesful.

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Daily Blog #718: Building test environments in 2025

 

 

Hello Reader,

A while back, I shared a post on LinkedIn about building test environments for simulating attacks and creating better training datasets. This is something I’ve done extensively for both my coworkers and my SANS students. With the discontinuation of Detection Lab several years ago, I started exploring alternatives. After reviewing the issues section of Detection Lab and consulting ChatGPT O1, I’ve identified two promising replacements that are currently being maintained:

---

1. Project ADAZ

Four years ago, Christophe Tafani-Dereeper joined us on the Forensic Lunch to discuss his Azure-supported project for spinning up instrumented networks for testing. According to his GitHub page, it’s still being actively updated. I’ll be revisiting Project ADAZ in my upcoming blog posts to see how it performs today and whether it still meets my needs as it did back then.

Key Features:

• ELK Backend: Provides a robust and widely-used stack for log aggregation, analysis, and visualization.
• Azure Integration: Leverages Azure to create and manage the test environment, making it ideal for organizations already invested in Microsoft’s ecosystem.
• Open Source: Free to use, with full access to the source code for customization.

Limitations:

• Azure Costs: While the software is free, the resources used on Azure (e.g., VMs, storage, bandwidth) can add up quickly.
• Azure Dependency: It’s tightly coupled with Azure, which may not be ideal for those working with other cloud providers or looking for multi-cloud solutions.
• Complexity: Initial setup and configuration may require familiarity with Azure, ELK, and Terraform.It is well documented though and I felt it easy to setup.
  

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2. Splunk Attack Range

The Splunk Threat Research Team has developed an instrumented network-building script, specifically designed for collecting and analyzing logs with Splunk. It’s another compelling option for creating test environments.

Key Features:

• Broad Platform Support: Works with VirtualBox, Azure, and AWS, offering flexibility across various deployment scenarios.
• Splunk-Centric: Designed to send logs directly to Splunk, enabling quick analysis and visualization.
• Actively Maintained: Updates and support from the Splunk Threat Research Team ensure compatibility with current Splunk releases and threat models.
• Attack Simulations: Pre-configured to simulate adversary techniques using open-source tools like Atomic Red Team, enabling realistic threat scenarios.

Limitations:

• Splunk Dependency: Works best with Splunk as the log receiver, making it less attractive for organizations using alternative log aggregation solutions like ELK.
• Resource Requirements: Environments built with Splunk Attack Range can be resource-intensive, requiring significant compute and storage, especially for larger simulations.
• Learning Curve: Requires familiarity with Splunk configurations and potential tuning for specific use cases.

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What’s Next?

I’ll be deploying both of these solutions in my test environments to compare their performance, usability, and suitability for various scenarios. Additionally, I’m on the lookout for robust Terraform scripts to build similar environments with cloud-based identity providers (e.g., Azure AD or Google Cloud Identity) instead of traditional local Active Directory.

If you know of any such scripts or have experience with either of these projects, please share your thoughts in the comments below—I’d love to hear your insights!

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Daily Blog #717: Getting free Azure credits for testing

 Hello Reader,

I’m posting this from my phone while I fly back from a forensic inspection. I noticed that this weeks sunday funday already has contest entries working (Great job Ogmini!) while last week was lighter on entries. I thought about the issue and wondered if part of the issue was people not knowing about how to get free Azure credits for testing . 

So i asked Chat Gpt to list out the most common ways to get free Azure credits, let me know what I missed. 

1. Azure Free Account

• What You Get:

• $200 Free Credit: Available for the first 30 days to explore any Azure service.

• Free Services for 12 Months: Includes popular services like virtual machines, storage, and databases.

• Always Free Services: More than 55 services are available for free with limited usage, such as Azure App Service and Functions.

• Eligibility: Open to new Azure customers.

Sign up for a free account here.

2. Azure for Students

• What You Get:

• $100 Free Credit: No credit card required for verification.

• Access to free developer tools such as Visual Studio Code, GitHub, and more.

• Eligibility: Must be a verified student aged 18+ with a valid academic email address.

• Additional Perks: Free access to select learning resources and Azure certifications.

Learn more and apply for Azure for Students.

There were other options presented but they’re much more specialized, like for business start ups. 

So the next time you see an Azure challenge sign up for free credits and give it a go!

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