FAME Automates Malware Evaluation
FAME Automates Malware Evaluation is an open source malware analysis system that automatically analyzes submitted files and extracts useful information. It uses machine learning and other techniques to detect malware attributes quickly and efficiently.
malware
analysis
detection
open-source
FAME Automates Malware Evaluation
FAME Automates Malware Evaluation is an open source malware analysis system that automatically analyzes submitted files and extracts useful information. It uses machine learning and other techniques to detect malware attributes quickly and efficiently.
What is FAME Automates Malware Evaluation?
FAME Automates Malware Evaluation is an open source automated malware analysis framework. It allows security researchers and threat analysts to efficiently analyze large volumes of potential malware samples and extracts useful information to identify malicious attributes.
Some key features of FAME include:
- Automated unpacking, decoding and analysis of submitted files using CPU and GPU emulators
- Extraction of IOCs, behavioral indicators, network signatures and other threat intelligence
- Integration of machine learning algorithms to detect malware families, droppers and other patterns
- Custom sandboxing environments to observe malware behavior in Windows, Linux and Android
- Web interface for researchers to search, correlate and visualize malware analysis results
- APIs and integration tools to connect with other systems like SIEMs, firewalls, threat intel platforms etc.
By automating parts of the malware triage and analysis process, FAME allows malware researchers and security teams to keep up with the large volume of potential threats they see each day. The actionable threat intelligence extracted by FAME also helps block and remediate malicious attacks faster.
FAME Automates Malware Evaluation Features
Features
- Static analysis of files
- Dynamic analysis in instrumented environments
- Extraction of useful information like network behavior, changed files, etc.
- Detection of malware attributes using machine learning
- Integration with other systems via API
- Web UI for submission, analysis and visualization
Pricing
- Open Source
Pros
Automated analysis reduces manual work
Scales to handle large volumes of malware samples
Open source allows customization as needed
Machine learning provides quick detection of malware attributes
Cons
Requires setup and maintenance of analysis infrastructure
Not a complete replacement for manual analysis in all cases
Open source project means limited official support
Official Links
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