Expanding Galaxy S24 and Android 14 Full Filesystem Support

The future of mobile device evidence analysis- MD-RED v4 Coming soon

After extensive research and invaluable feedback from our MD-RED v3, we’re thrilled to announce that MD-RED v4 is launching soon – and it’s a complete game-changer.

What Makes MD-RED v4 Extraordinary?

✨ Lightning-Fast Performance: Process massive datasets with unprecedented speed and reliability

🧠 AI-Powered Intelligence: Advanced media analysis with cutting-edge AI models that think ahead

🎯 Intuitive Discovery: Find exactly what you need with smart search and filtering capabilities

Built for the Challenges of Tomorrow : As digital evidence becomes more complex and data volumes explode, traditional tools simply can’t keep up. MD-RED v4 doesn’t just solve today’s problems – it anticipates tomorrow’s needs.

Key Breakthrough Features:

• AI-Enhanced Media Intelligence: Leverage machine learning for smarter evidence discovery

• Real-Time Multi-Window Integration: Synchronized analysis across multiple windows for maximum efficiency

• Optimized Analysis Architecture: Faster performance with fewer errors through enhanced structural design

• Advanced Synchronization: Effortless data selection across multiple analysis streams

• New advanced analysis features: PC Messenger analysis, Malware detection, Speech-To-Text, Machine translation, CDR analysis

Ready to Transform Your Digital Forensics Process?

MD-RED v4 represents years of innovation, user feedback, and technical excellence rolled into one powerful platform. This isn’t just an upgrade – it’s a complete reimagining of what digital evidence analysis can be. Stay tuned for the official launch and feel free to reach out to us for more information!

MD-DRONE: Advancing the Future of Drone Forensics

Why Drone Forensics Matters

In today’s rapidly evolving technological landscape, drones have become ubiquitous tools across industries ranging from photography and agriculture to security and emergency services. However, this proliferation has also introduced new challenges in digital forensics and security. Unauthorized drone operations, privacy violations, and potential use in criminal activities have created an urgent need for sophisticated drone forensic capabilities.

Traditional digital forensics methods often fall short when applied to drone technologies due to their unique operating systems, proprietary data formats, and complex flight control mechanisms. This gap in forensic capabilities can leave investigators without crucial evidence and organizations vulnerable to security breaches.

Introducing MD-DRONE v1.5.0.249

MD-DRONE stands at the forefront of drone forensic technology, delivering comprehensive solutions that address these challenges. Our latest update introduces groundbreaking features designed to transform how professionals approach drone investigations and security.

Key Highlights:

• Physical extraction

・ Added support for the USB extraction method

・ DJI: Phantom 4 Advanced, Phantom 4 Pro, Phantom 4 Pro V2.0, Phantom 4 RTK, Matrice 600 Pro, N3(FC), A3(FC)

• MD-PLUG: Enhanced Extraction Hardware

・ Our specialized hardware interface works seamlessly with MD-DRONE to enable efficient data extraction

・ Minimizes failures caused by PC environment variations

・ Provides the decryption of encrypted flight logs used in modern drone systems

• DJI Assistant File

・ Introduces a new extraction method that analyzes files exported from DJI Assistant.

Experience the Future of Drone Forensics

MD-DRONE represents the cutting edge of drone forensic technology, developed by industry experts with real-world experience in digital investigations and drone security. Our commitment to innovation ensures you’ll always have access to the most advanced tools available.

Schedule a demonstration today to see how MD-DRONE can transform your drone forensic capabilities and provide the evidence you need when it matters most.

Enhancing Investigative Capabilities: MD-VIDEO AI Introduces Advanced Face Search and Face Restoration Features

Introduction

GMDSOFT is pleased to announce new features to our MD-VIDEO AI, introducing face search and face restoration. These advanced features address critical challenges faced by law enforcement and forensic investigators in processing and analyzing video evidence. This is another innovative AI feature designed for one of the most critical elements in investigations-human faces-just like vehicle license plates.

Addressing Modern Investigative Challenges

In contemporary criminal investigations, video evidence has become increasingly crucial. However, the manual review of footage is extraordinarily time-consuming, and the quality of facial images captured often presents significant obstacles to efficient suspect identification. This innovative MD-VIDEO AI represents our ongoing commitment to enhancing investigative capabilities, specifically designed to analyze one of the most crucial elements in investigations—human faces—paralleling our successful work with vehicle license plates.

Advanced Face Search Capabilities

The newly implemented face search functionality allows investigators to conduct sophisticated queries within video content:

• Input-Based Search: Investigators can upload reference photographs directly into the video analysis interface to initiate a search for matching faces within the footage.

• Analysis-Driven Filtering: After initial video processing, the system enables refined searches using analysis results as filters, significantly improving the precision of subject identification.

• Rapid Processing of High-Volume Data: The AI-powered search engine can process an immense amount of video data in a fraction of the time required for manual review.

Revolutionary Face Restoration Feature

Our face restoration feature represents a breakthrough in forensic image enhancement:

• Single and Multi-Image Reconstruction: The system can generate improved facial representations from either a single low-quality image or by synthesizing information from multiple partial captures.

• Suspect Face Reconstruction: provides identifiable facial reconstruction values by enhancing suspect faces from degraded images, enabling more accurate suspect identification.

• Detail Recovery: The technology can recover facial details that were previously indiscernible in the original video footage.

Demonstrated Efficacy in Criminal Investigations

The enhanced MD-VIDEO AI has already demonstrated its value in real-world applications. Multiple investigators have successfully utilized these features to resolve complex cases, including homicide investigations, where traditional methods had reached an impasse. The system’s ability to rapidly process and enhance facial data has proven instrumental in accelerating suspect identification and case resolution.

Conclusion

The integration of advanced face search and restoration capabilities into MD-VIDEO AI represents a significant advancement in video forensics technology. These features provide law enforcement agencies with powerful tools to overcome longstanding challenges in video evidence analysis, ultimately contributing to more efficient and effective criminal investigations.

For more information on how MD-VIDEO AI can transform your investigative processes, please contact us for a comprehensive demonstration.

MD-NEXT Expands UNISOC Chipset Support

The Evolving Challenge in Mobile Device Forensics

The rapid proliferation of smartphone diversity presents an increasingly complex landscape for digital forensic investigators. As global smartphone markets expand, traditional forensic tools have struggled to keep pace with the emerging ecosystem of budget and mid-range devices powered by alternative chipset manufacturers.

UNISOC’s Emerging Global Presence

UNISOC, formerly known as ‘Spreadtrum’, has emerged as a significant player in the mobile chipset market. Founded in 2001, the company has steadily transformed from a regional semiconductor manufacturer to a global technology innovator.

The smartphone ecosystem has witnessed a remarkable transformation, with alternative chipset manufacturers like UNISOC reshaping the traditional market dominated by giants like Qualcomm and MediaTek. This shift is particularly pronounced in emerging markets, where cost-effective smartphones powered by UNISOC chipsets are gaining substantial traction.

GMDSOFT’s Comprehensive Global Support

Recognizing the evolving technological landscape, GMDSOFT has strategically expanded MD-NEXT’s capabilities to address this growing market segment. Our latest update represents a comprehensive approach to global device forensics:

Technical Highlights

• Broad Compatibility: Support for Android OS versions 9-14

• Diverse Chipset Extraction: Full Filesystem (FFS) for 5G-enabled models

• Extensive Device Coverage: Supports over 90 models

• Advanced Extraction Infrastructure: MD-PLUG enabling deep-level data extraction

Future-Proofing Digital Investigations

• Continuous research into emerging chipset technologies

• Developing universal extraction frameworks

Conclusion

In an increasingly complex technological landscape, MD-NEXT stands at the forefront of forensic innovation. By integrating comprehensive UNISOC chipset support, we are not just expanding our tool’s capabilities – we are redefining the boundaries of digital investigation.

For forensic professionals navigating today’s intricate technological terrain, MD-NEXT offers more than a tool. We provide a strategic advantage that adapts and evolves with the global smartphone ecosystem.

Mobile Triage Forensics software: MD-LIVE v3.6.4.1304 Update

As digital crime continually reshapes the technological battlefield, law enforcement agencies face unprecedented challenges with increasingly sophisticated messaging app security. Traditional digital forensic methods have struggled to effectively extract evidence from secure messaging platforms like Telegram.

This advanced technology enables rapid and efficient processing of large volumes of data through text conversion and analysis. We offer comprehensive support for WhatsApp, Telegram, Facebook Messenger, and now NEW: LINE Messenger, delivering swift large-scale data analysis with intuitive word search and editing capabilities.

Key Advantages of Chat Scanner

🔹 Rapid acquisition and analysis of messenger evidence data

🔹 OCR application to scanned conversation screens, word search, and error correction

🔹 Enhanced accuracy and efficiency in on-site investigations

🔹 Strengthened reliability of evidence preservation

Global Impact Highlight: LINE Messenger stands as the Asian market leader with an impressive 80% market share in Japan, 90% penetration in Taiwan, and the #1 messaging platform in Thailand. Our latest update introduces advanced Japanese OCR, enabling precise text analysis, seamless international investigation support, and strategic data interpretation across language barriers.

Experience the future of digital forensics with MD-LIVE’s Chat Scanner. Unlock possibilities that were once beyond reach.

Introducing De-identification feature in MD-VIDEO AI

Introduction

In the rapidly evolving landscape of digital forensics, the intersection of evidence management and privacy protection presents unprecedented challenges. As organizations navigate through increasing volumes of digital evidence while adhering to stringent privacy regulations, the need for sophisticated tools has never been more critical. Today, we’re introducing a groundbreaking addition to MD-VIDEO AI: our comprehensive De-identification feature.

The Privacy Challenge in Modern Forensics

Digital evidence analysis has become increasingly complex, with investigators handling vast amounts of video data containing sensitive personal information. Traditional methods of managing this sensitive content often resulted in:

Time-consuming manual redaction processes
Inconsistent privacy protection measures
Delayed evidence sharing between agencies
Limited collaboration due to privacy concerns

Our Solution: Advanced De-identification Technology

To address these critical challenges, MD-VIDEO AI introduces a comprehensive de-identification feature that transforms how forensic teams handle sensitive video evidence. This new capability revolutionizes the traditional approach by providing:

Automated masking tools that reduce processing time
Flexible selection and automated tracking of video frame area
Standardized privacy protection protocols ensuring consistent results
Selective data preservation, maintaining essential information while removing sensitive content
Enhanced investigation efficiency through privacy-compliant collaboration

Our intuitive interface combines powerful functionality with ease of use, enabling investigators to focus on their core mission while maintaining the highest standards of privacy protection.

How to Use De-identification

MD-VIDEO AI’s de-identification feature offers a streamlined, user-friendly workflow designed for efficient privacy protection in forensic investigations.

Start by creating a new task in the main explorer, where you can import your video evidence and manage your project settings.

Using the interactive video player, investigators can easily drag-select specific areas that require anonymization directly on the screen.

Menu: Start a new task, save it in the main explorer, or export the results to a desired location on PC.
Player: Play an imported video. You can drag-select the area on the player screen to apply blur or mosaic effects for de-identification.
De-Identification Settings: Select the type of effect to apply in the masked area and adjust the time range, size, or position of the mask.
Timeline: A workspace where you can manage the playback position of video, tracks, and clips.

The De-identification Settings panel provides comprehensive control over the anonymization process, allowing users to choose between blur and mosaic effects, adjust mask intensity, and fine-tune time ranges and positions. For precise control over the video timeline, a dedicated workspace enables management of playback position, tracks, and clips, ensuring frame-accurate de-identification. These tools work seamlessly together, enabling investigators to efficiently protect sensitive information while maintaining the integrity of their evidence. Once processing is complete, users can export their results to their desired location on their PC, with the final output preserving both privacy requirements and video quality.

Conclusion

The introduction of De-identification in MD-VIDEO AI represents a significant advancement in digital forensics technology. By enabling secure and efficient evidence sharing across agencies while protecting sensitive information, we’re helping organizations accelerate their investigations without compromising privacy requirements.

Stay tuned for more technical insights and updates on MD-VIDEO AI’s evolving capabilities.

For detailed information and technical support, please contact to our sales team.

MD-NEXT v2.1.8: Expanding Galaxy S24 and Android 14 Full Filesystem Support

We’re excited to announce the release of MD-NEXT v2.1.8, which brings significant improvements. This update focuses on expanding device support, enhancing existing features, and introducing new capabilities to streamline the digital investigation process.

1.New Feature: Extended Android Full Filesystem

🔹 Samsung Devices

We’ve substantially expanded our support for Samsung devices, now covering over 35 models across various series:

– Galaxy S series: S24, S23, S23 FE, S22, S21, S20, S20 FE

– Note series: Note20

– Z series: Z Fold6, Z Flip6, Z Flip5, Z Fold5, Z Flip4, Z Fold4, Z Flip3, Z Fold3, Z Fold2, Z Flip 5G, Z Fold, Z Flip

– A series: A90, A71, A54 5G, A53 5G, A51, A42, A34, A33 5G, A32, A31, A23, A22, A21s, A14, A12, A03s

– M and F series: M53, M33, F22

– Other models: Jump2, Quantum4, Tab A7 Lite, Quantum2, Wide5 Series

– Supported Android versions: 11 through 14

🔹 Google Pixel Devices

– Pixel 8, 8 Pro, 7a, 7, 7 Pro, 6a, 6, 6 Pro series

– Supported Android versions: 13 and 14

🔹 Sharp Devices

– Added support for AQUOS sense7

– Supported Android versions: 12 and 13

2. Android Live

– Added ‘App List in Multispace’ tab to the extraction completion screen

– Enhanced ADB Backup UI

– TeamViewer downgrade support

– Improved IMEI extraction for Dual SIM and eSIM

3.iOS Backup

Added Nicegram to major app data checks

4.Create MDF

Support for encrypted backups and Secure Folder data from Samsung Smart Switch

5.Electronically Stored Information (ESI)

Added ESI report generation for physical extractions

MD-NEXT represents a significant step forward in mobile forensics capabilities. By expanding Full Filesystem support and enhancing key features, we’re providing investigators with more powerful tools to extract and analyze digital evidence efficiently.

We encourage all users to update to this latest version to take advantage of these improvements. As always, we welcome your feedback and suggestions for future enhancements.

Stay tuned for more updates as we continue to evolve MD-NEXT to meet the changing landscape of mobile forensics.

MD-VIDEO AI Unveils New Features and Expands Global Reach

MD-VIDEO AI, an AI-based video forensic software, is proud to announce a suite of innovative features and significant expansions to its global capabilities. These updates underscore our commitment to providing cutting-edge solutions for law enforcement and forensic professionals worldwide.

🔹New Feature Spotlight: Object Length Measurement

We are excited to introduce our new feature ‘Object Length Measurement’ feature. This innovative feature goes beyond basic measurement, providing crucial advantages in criminal investigations:

•Accurate reconstruction of crime scenes: By precisely measuring object lengths, investigators can recreate crime scenes with unprecedented accuracy. This aids in understanding the sequence of events and validating witness testimonies.

•Suspect identification: The ability to accurately determine the height of individuals in video footage can be instrumental in narrowing down suspect pools. This precise data can significantly contribute to identifying and apprehending perpetrators.

•Evidence corroboration: Exact measurements of key objects or distances at a crime scene can corroborate or challenge alibis and statements, providing investigators with solid, data-backed evidence.

This feature will empower investigators to extract more accurate and actionable data from video evidence, significantly aiding in the resolution of complex cases.

🔹Global Expansion: Number Plate Restoration

In our ongoing effort to serve law enforcement agencies worldwide, we’ve substantially expanded our number plate restoration capabilities:

• New countries added: Brazil, Egypt, Italy, and the Kingdom of the Netherlands

Ambitious plans to broaden support across United States and Europe throughout the year

This expansion will enable more agencies around the world to benefit from our advanced number plate restoration technology, enhancing their ability to identify and track vehicles.

🔹 Extended support for Multi-Input Number Plate Restoration: Italy and Sweden

We’ve also improved our Multi-Input Number Plate Restoration feature, known for its high accuracy in challenging scenarios.

These updates reflect MD-VIDEO AI’s unwavering dedication to pushing the boundaries of video analysis technology. By providing more precise information and expanding our global reach, we aim to equip law enforcement and forensic professionals with the most advanced tools available for their critical work.

Stay tuned for future announcements as we continue to innovate and expand our services!

Why Decryption Using Keystore Data is Essential and Challenging in Mobile Forensics

Decryption using keystore data in Android OS is a critical yet challenging aspect of mobile forensics. As mobile devices adopt advanced encryption methods, accessing and decrypting keystore data is more important—and difficult—than ever. Here’s why this process is vital and how our products, MD-NEXT and MD-RED, offer innovative solutions.

The Importance

Keystore data is the key to unlocking encrypted information on Android mobile devices just like Keychain in iOS, including messages, contacts, and app data. Without effective decryption methodologies, a substantial portion of this data remains inaccessible, significantly impeding forensic investigations.

The Challenges

• Advanced Encryption Algorithms: Contemporary devices employ highly sophisticated encryption techniques to safeguard user data.

• Device Heterogeneity: The diverse range of manufacturers results in a multitude of encryption protocols.

• Continuous Security Enhancements: Frequent updates to operating systems and applications consistently bolster security measures.

Our Solutions

MD-NEXT: Our latest update expands keystore extraction capabilities to encompass a broad spectrum of devices, including Google, Sony, Nothing, Nokia, OnePlus, and Sharp. This enhancement facilitates comprehensive access to keystore data across diverse device ecosystems.

MD-RED: Supports app decryption using keystore data from images extracted with Full Filesystem method with MD-PLUG. This tool is crucial for unlocking and analyzing encrypted app data.

Impact on Forensic Investigations

MD-NEXT and MD-RED represent state-of-the-art mobile forensics technology, empowering investigators to efficiently surmount encryption obstacles and access vital data. These tools provide forensic professionals with the requisite capabilities to conduct thorough and effective investigations in an increasingly complex digital landscape.

In conclusion, while decryption using keystore data remains a cornerstone of mobile forensics, it presents significant technical challenges. Our innovative solutions, MD-NEXT and MD-RED, address these challenges head-on by extending keystore acquisition capabilities and supporting sophisticated app decryption processes. These advancements ensure that forensic investigators are equipped with the essential tools to conduct successful and comprehensive mobile forensic analyses.

If you have further questions about MD-RED and MD-NEXT, please don’t hesitate to reach out by clicking the button below to submit an inquiry.

Combating Deepfakes: GMDSOFT’s MD-VIDEO AI Gets Smarter with Deepfake Face Detection

GMDSOFT MD-VIDEO AI just got even more powerful!

Now equipped with Deepfake face detection feature, offers even more robust video analysis! 🎥

In today’s digital landscape, combating false information and deceptive content is more crucial than ever. With the rise of AI technology, concerns about the manipulation of crucial events like elections have escalated. Deepfakes pose a significant threat, capable of swaying public opinion and fueling societal unrest.

From politicians and celebrities to everyday citizens, the manipulation of digital content through AI has sparked numerous legal battles and ethical debates. These challenges underscore the urgent need for effective forensics solutions.

But fear not! Our MD-VIDEO AI’s latest version, including Deepfake face detection, stands as a formidable defense against such threats. By leveraging advanced algorithms and machine learning, it swiftly identifies and analyzes fake faces, ensuring the integrity of your data and videos.

In a world where truth is paramount, trust MD-VIDEO AI to safeguard your information and provide reliable analysis results. Join us in the fight against misinformation and deception!