30 open-source projects similar to cmu-sei/cyobstract, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Cyobstract alternative.
Real Intelligence Threat Analytics (RITA) is a framework for detecting command and control communication through network traffic analysis.
Repository containing IOCs, CSV and MISP JSON from our blogs
This project is a Python command-line security tool and malware analysis framework designed for threat intelligence aggregation and incident triage. It functions as an aggregator that orchestrates queries across multiple security services and sandboxes to analyze hashes, IP addresses, and domains. The tool distinguishes itself by incorporating an intelligence layer that uses language models to provide automated risk assessments and framework mappings. It also includes specialized capabilities for extracting indicators of compromise from unstructured text, documents, and web pages, as well as
Collection of android malware samples
A self-hosted sandbox for red teams to test payloads against modern detection before deployment. MCP integration lets an LLM agent drive analysis end to end.
DRAKVUF Sandbox - automated hypervisor-level malware analysis system
Contributed by Check Point Software Technologies LTD. Programmed by Yaraslau Harakhavik
YARA rule metadata specification and validation utility / Spécification et validation pour les règles YARA
droidefense (originally named atom: a nalysis t hrough o bservation m achine)* is the codename for android apps/malware analysis/reversing tool. It was built focused on security issues and tricks that malware researcher have on they every day work. For those situations on where the malware has…
Pafish is an anti-analysis sandbox detector and virtualization environment tester. It serves as a diagnostic utility to identify if a system is running inside a virtual machine or a malware analysis sandbox by executing common anti-analysis techniques. The tool validates the effectiveness of various evasion methods and supports research into sandbox detection. It tests whether a target system can be recognized as a virtualized environment to help improve the stealth of malware analysis environments. Detection is achieved through a variety of behavioral checks, including hardware artifact ana