dfrws2005-challenge
Memory analysis challenge
A challenge to extract information from a stolen laptop's memory after a malicious actor has deleted logs and covers their tracks
MEMORY ANALYSIS was one of the primary themes of DFRWS 2005. In an effort to motivate discourse, research and tool development in this area, the Organizing Committee created the intrusion/intellectual property theft scenario detailed below. This memory challenge was open to all, and team efforts were encouraged.
1 stars
3 watching
0 forks
last commit: over 2 years ago
Linked from 1 awesome list
digitalisx/awesome-memory-forensicsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 evild3ad/memprocfs-analyzer | Automated forensic analysis tool for Windows memory dumps | 540 |
 ftramer/steal-ml | An implementation of extraction attacks against Machine Learning models offered by Cloud-based services | 344 |
 securityjoes/forensicminer | Automates evidence collection and analysis from Windows machines using PowerShell. | 148 |
 teamdfir/sift | A suite of tools and images for building and managing digital forensics environments on AWS | 491 |
 shanek2/invtero.net | Analyzes and validates physical memory from various systems to extract process information and hypervisor details | 279 |
 travisfoley/dfirtriage | A digital forensic tool designed to gather and analyze data from Windows-based systems in incident response scenarios. | 334 |
 idiom/pftriage | Tool to analyze files during malware analysis and triage by extracting properties and detecting malicious indicators. | 77 |
 nccgroup/windowsmempagedelta | Software designed to monitor Windows executable memory page changes to detect anomalies in system behavior | 28 |
 mdecrevoisier/microsoft-eventlog-mindmap | Provides detailed mindmaps on Microsoft auditing capacities and event logs for security and monitoring | 1,044 |
 codeyourweb/fastfinder | Tools for detecting suspicious files and directories on Windows and Linux endpoints. | 232 |
 zhangtp1996/openfe_reproduce | Reproduce experiments and results from a research paper on fraud detection using machine learning algorithms. | 3 |
 iamgroot42/mimir | Measures memorization in Large Language Models (LLMs) to detect potential privacy issues | 121 |
 rek7/mxtract | Analyzes and dumps memory to extract sensitive information from running processes | 582 |
 ksreenivasan/ood_federated_learning | Researchers investigate vulnerabilities in Federated Learning systems by introducing new backdoor attacks and exploring methods to defend against them. | 64 |
 lhfowl/robbing_the_fed | This implementation allows an attacker to directly obtain user data from federated learning gradient updates by modifying the shared model architecture. | 23 |