Introduction During this semester, the Mobile Forensics team analyzed social media apps such as Snapchat, Telegram, and LinkedIn. Snapchat As for a conclusion on our Snapchat analysis, we couldn’t find much outside of prior research within the community. A big concern we had was how much data would remain on a device twenty-four hours after […]
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Testing Our Script Automated Network Scanning ! team has successfully completed their project by capping off the testing phase. The testing phase was divided into four phases. As we had configured our script to execute on boot, we would start each cycle by rebooting the Raspberry Pi. To implement this, we enabled auto-login on boot […]
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Tool Evaluation Team – Autopsy Blog #3 Madi Brumbelow & Lyall Rogers Testing Autopsy For the last 3 months we’ve researched all about Autopsy: how to use it, comparing it to other tools, and mastering the art of forensic image analysis with our tool. Now, the results are in, results that you can see in […]
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Current Progress After receiving our team-generated test data, we plugged our test scenario into Forensic ToolKit. It was intriguing to see what Forensic ToolKit would catch from our generated data. Data took a long time to load into FTK, but once it was in the system we could start evaluating processing speed and user […]
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Introduction If you read our last blog post, you know that the Mobile Forensic team ran into some issues early on. We are happy to share that we have since overcome those issues, and we’ve hit the ground running with our project. We are no longer using the LG G6 devices mentioned last month due […]
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Introduction This semester, the Application Analysis team chose four Windows applications to perform a forensic analysis on – Spotify, Bitcoin Miner, Speedtest, and Dashlane. In the coming weeks, we will examine the artifacts generated by these applications. Analysis: Web App Security We will inspect the applications’ security features. Without proper security features, hackers can access data […]
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Introduction: To close out our list of Web Apps, we finished up on Discord. It has been an interesting experience for us to work with the three diverse apps over the last semester. Our analysis on Discord brought our research to a close. Seeing several key similarities with our first application Slack, it was an […]
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Introduction To Application Analysis The Web Application Analysis team has been assigned to examine desktop-based web applications for both Mac and PC and determine what kind of artifacts can be found from them. Thus far, the team has endeavored to analyze Discord, Dropbox, Slack, and Twitter. We have also selected several forensic tools to help […]
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Bluetooth Recon Phase The Bluetooth team has been using Pwnie Express’s BlueHydra and Econocom Digital Security’s Btlejuice to gather information about the various devices we will be working with throughout the semester. The team collectively decided it was imperative to understand how these tools gather the data they report before we can begin searching for […]
Continue readingIntroduction To Malware Analysis In order to build upon work done by the LCDI’s Malware Analysis Team last semester, we are adopting Amazon Web Services. Amazon WorkSpaces will allow us to conduct malware research with the guarantee that the LCDI network will remain unaffected by any samples we choose to analyze. The Malware Team has […]
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