moneta
by forrest-orr
Moneta is a live usermode memory analysis tool for Windows with the capability to detect malware IOCs
AI summary
Memory analyzer
A tool for analyzing memory on Windows systems to detect malware IOCs
- stars
- 707
- forks
- 86
- watching
- 14
Similar projects
Found by comparing what the projects do, not just their names.
RAM analyzer
Analyze Windows machine RAM artifacts using Winpmem and Volatility
eset/malware-ioc1.7K
Malware repo
A repository of malware indicators and rules for threat hunting and analysis.
Memory analyzer
A tool to detect and analyze malicious code in process memory by executing Python scripts on YARA matches
Memory analyzer
Analyzes and validates physical memory from various systems to extract process information and hypervisor details
Memory analysis tool
A tool for processing Windows memory images to extract relevant information
Memory analyzer
Automates memory analysis of malware samples and memory dumps by extracting binaries, injections, strings, and analyzing code using heuristics and YARA/Clam AV scanners.
Memory analyzer
Analyzes C code for its memory layout and dependencies
rek7/mxtract582
Memory scanner
Analyzes and dumps memory to extract sensitive information from running processes
Malware analyzer
A platform for analyzing malware and performing reverse engineering on binary files
Memory analyzer
Automated tool for forensic analysis of Windows memory dumps
Malware analyzer
Analyzes Portable Executable malware and malicious MS Office documents for various suspicious features
Process analyzer
Analyzes running processes to detect and dump malicious code
Memory scanner
A tool to detect memory-based evasion techniques used in malware and rootkits
Memory analysis helper
A tool to assist in memory forensics analysis on Windows systems by automating the process of extracting and exporting relevant data from memory images.
Memory auditor
An emulator-based tool to detect kernel memory disclosure vulnerabilities by tracking uninitialized memory in guest operating systems.
