Maldatabase is a threat intelligence platform that collects and provides malware datasets and threat intelligence feeds to help with malware data science and threat intelligence. The platform collects a large amount of data daily, including samples reported by sandboxes and malware analysis services, and provides valuable information such as contacted domains, files written in the system, and processes executed by malware samples. The data is available in CSV or JSON format and can be used for big data, graphical network visualization, and machine learning. The platform offers different pricing plans, including a free plan for researchers and students, and premium plans with varying levels of access to data. Maldatabase aims to collaborate with researchers and companies to advance threat intelligence and malware research.
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Open-source initiative providing malicious and benign datasets to expedite data analysis and threat research.
Tool for dataviz and statistical analysis of threat intelligence feeds, presented in cybersecurity conferences for measuring IQ of threat intelligence feeds.
Tools to export data from MISP MySQL database for post-incident analysis and correlation.
A library of adversary emulation plans to evaluate defensive capabilities against real-world threats.
The FASTEST Way to Consume Threat Intelligence and make it actionable.
Facilitating exchange of information and knowledge to collectively protect against cyberattacks.
A set of rules for detecting threats in various formats, including Snort, Yara, ClamAV, and HXIOC.
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