How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
The main features of doctorwebltd/malware-iocs are: Malware Analysis, Threat Intelligence.
Projects with overlapping indexed features include: misp/misp — MISP is an open-source threat intelligence sharing platform designed for collecting, storing, and distributing… alexandreborges/malwoverview — This project is a Python command-line security tool and malware analysis framework designed for threat intelligence… inquest/threatingestor — Extract and aggregate threat intelligence. viper-framework/viper — Binary analysis and management framework. eset/malware-ioc — Indicators of Compromises (IOC) of our various investigations. dtag-dev-sec/tpotce — T-Pot is a multi-honeypot orchestration platform and threat intelligence collector. It utilizes a Docker-based…
MISP is an open-source threat intelligence sharing platform designed for collecting, storing, and distributing structured threat indicators and intelligence. At its core, it provides a distributed synchronization protocol for transferring events between instances, an attribute-based correlation engine that links matching indicators across events, and a REST API with an OpenAPI specification for programmatic access to threat data. The platform uses formal data formats for JSON, taxonomy, galaxy, and object templates to enable compatibility across tools and communities. The platform distinguish
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
Indicators of Compromises (IOC) of our various investigations
