Malmal
MalMal is an open-source malware analysis tool that allows users to analyze suspicious files and URLs. It uses machine learning to classify samples as malicious or benign.
malware
analysis
detection
MalMal: Open-Source Malware Analysis Tool
Analyze suspicious files and URLs with machine learning-based classification, identifying malware and benign activity.
What is Malmal?
MalMal is an open-source malware analysis platform that allows security researchers and analysts to examine suspicious files and URLs. It utilizes machine learning and other advanced techniques to detect malware, analyze behavior, and extract IOCs.
Some key features of MalMal include:
- Upload files or submit URLs for analysis
- Sandbox environment runs samples and monitors system changes
- Static analysis extracts metadata, strings, etc. from files
- Machine learning models classify samples as malicious or benign
- Dynamic analysis observes runtime behavior to detect C2 comms, etc.
- Generate comprehensive analysis reports with indicators of compromise
- Integrates with VirusTotal, Hybrid-Analysis, etc. for collaborative detection
MalMal aims to make malware analysis accessible for individuals and organizations. Its easy-to-use interface, automation, and integration with threat intel platforms simplifies protecting against advanced malware campaigns. The project is open-source to encourage community-driven development and innovation.
Malmal Features
Features
- Static analysis of malware samples
- Dynamic analysis in sandboxes
- Machine learning powered malware detection
- Support for analyzing PE, PDF, DOC and more file types
- URL and domain reputation checks
- Customizable reporting
- Plugin architecture for extensibility
Pricing
- Open Source
Pros
Free and open source
Easy to use interface
Supports a wide range of file types
Sandboxing isolates malware
Good detection rates with machine learning
Extensible via plugins
Cons
Limited compared to commercial solutions
Requires some malware analysis knowledge
Not designed for large enterprises
Lacks support services
Official Links
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