James McGee
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sqlmcgee.bsky.social
James McGee
@sqlmcgee.bsky.social
41 followers 21 following 25 posts
Husband || Father || Digital Forensic Examiner || Cyber Crime Investigator || SQL Query Fanatic || Sometimes I make NFTs of my Dog
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Thanks to our great DFIR Community and discussion on the matter, I’m happy to announce our Google Location History Takeout Parser, Version 1.4.1. We’ve added Horizontal Accuracy KMLs for Records.JSON data and Parking Events. Get it at tinyurl.com/4aua56u4 Google Earth example:
Excited for this release, best is yet to come with the LEAPPs! Fantastic project, resource, and tool
We’re thrilled to unveil "Legal Bytes in a Digital World," our new article series examining the intersection of law, technology, and digital forensics. In our debut piece, we explore US v. Strong - available here: tinyurl.com/ymn2ju28 Stay tuned for in-depth analysis and expert perspectives in DFIR.
Examining the United States v. Ladonies P. STRONG Case
The case US v. Strong addresses the legality of warrantless searches of mobile devices, highlighting Fourth Amendment privacy rights. When Strong’s device was searched without a warrant, it r…
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Many thanks to Magnet Forensics, Hexordia, and the CTF authors for this great experience! Glad the timing worked out that I was able to participate - really enjoyable, creative, and challenging. Still may go back and look at some more of these questions..
Congratulations to the winners of the Magnet Forensic Virtual Summit 2025 CTF powered by Hexordia
1st place: @deagler
2nd Place: @Cognitor4n6
3rd Place: @Potato
1st Place Team: @X
Still time to play for the First to Finish!

#MVS2025CTF #DFIR
🔍 New article from Metadata Forensics! 📱 “Hello! Who is on the Line?” – we’re diving into parsing iPhone group calls, something not previously supported by commercial or open-source mobile forensic tools. Check it out 👉 tinyurl.com/3n6c3374
Hello! Who is on the Line?
Have you ever wondered how many individuals were on a phone call or Facetime call when reviewing data extracted from an iOS device? This question came up in a case recently when information was dev…
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🥳 Now also available within iLEAPP! 🎉 Such an incredible tool and community resource 🙌
This Thanksgiving, I’m grateful for the opportunity to make a difference and help bring justice to light. It’s the small details that matter, and I’m thankful to be part of a journey that strives for truth and fairness for all. Wishing everyone a meaningful Thanksgiving!
Let’s discuss: unpopular opinion? iOS 18: AFU is <72 hrs from reboot and BFU state. Lot of extraction ASAP talk, regardless of search auth. You can articulate, but with auth prior you don’t have to. What am I missing? Are auths after device seizure really going beyond 24 hrs?
🚀 New Release Alert! 🎉 Check out the latest versions of our Google Location History Timeline Parser and Brute Force Dictionary List Generator! Now with a new graphical interface and enhanced functionality. Download today at github.com/MetadataFore...! 🚀
MetadataForensics - Overview
Alongside seeking the digital truth and client satisfaction in all our cases, we also strive to further the DFIR Community with our research and work products. - MetadataForensics
github.com
Wake up to our new article, Sleepless in Cupertino: A Forensic Dive into Apple Watch Sleep Tracking! 🌙 Review how Sleep data is stored and explore parsing with SQL query solutions. 🔍 Learn how this could lend insight into the future Vitals app! 📈 tinyurl.com/yc43kpme
Sleepless in Cupertino: A Forensic Dive into Apple Watch Sleep Tracking
How's your sleep been lately? Currently, there are numerous sleep tracking and monitoring devices available to track, monitor, and quantify sleep patterns for users actively seeking to improve their s...
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🔍 Explore Apple Watch wear data parsed from the healthdb_secure.sqlite! This data can assist in pattern of life analysis and provide valuable context for expected data recording, such as heart rate data.. 📈👀 Available here: tinyurl.com/2a3up53t
Apple Watch – Worn Data Analysis
The article explores a lesser-known data point in Apple Health that shows when an Apple Watch is worn. This data indicates one-hour time periods when the Watch was worn and time segments when the Watc...
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📢 New article alert! Explore the siriremembers.sqlite3 database – a fusion of Biome and the interactionC database! 🔍 SQL queries, key data insights, and future implications. Read about it here: tinyurl.com/4u9v3tjr Explore SQL Queries here: tinyurl.com/7758z4ur
Siri’s Memory Lane: Exploring the siriremembers Database
The siriremembers.sqlite3 database, simply put, is a combination of Biome and the interactionC database. In this article, we explore this new SQLite database, cover parsing key data through SQL querie...
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