30 open-source projects similar to fastfire/deepdarkcti, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best DeepdarkCTI alternative.
Crawler on tor network sites, searching for keywords.
IntelMQ is a solution for IT security teams for collecting and processing security feeds using a message queuing protocol.
Cyber Threat Intelligence Feeds
DEPRECATED - USE v3 (bearded-avenger)
An extendable tool to Collect, Crawl and Monitor onion sites on tor network and index collected information on Elasticsearch
Defanged Indicator of Compromise (IOC) Extractor.
IntelOwl is a threat intelligence platform and security orchestration engine designed to aggregate, analyze, and enrich security observables. It functions as a security incident investigation tool and a threat intelligence aggregator, collecting data on files, domains, and IP addresses from diverse internal and external sources. The system differentiates itself through playbook-based workflow automation, allowing users to define reusable sequences of analysis tasks that trigger subsequent jobs based on prior outputs. It unifies disparate security data into a common schema and utilizes protoco
Aggregates security advisories from 10 international CERTs daily and provides an AI skill that cross-references alerts against your project's tech stack.
A modular Python application to pull intelligence about malicious files
A modular Python application to collect intelligence for malicious hosts.
ThreatTracker is a Python script designed to monitor and generate alerts on given sets of indicators of compromise (IOCs) indexed by a set of Google Custom Search Engines.
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
We are excited to announce the new and interactive release of the AdvML Threat Matrix under a newly branded name: ATLAS - Adversarial Threat Landscape for Artificial-Intelligence Systems!
Tool to gather Threat Intelligence indicators from publicly available sources
Threat Intelligence Quotient Test - Dataviz and Statistical Analysis of TI feeds
OpenCTI is a cyber threat intelligence platform and knowledge base used to store, manage, and analyze technical security data. It functions as a threat intelligence visualization tool and an enterprise security data orchestrator that maps relationships between threat actors, malware, and vulnerabilities. The platform utilizes the STIX and TAXII standards for data representation and exchange, allowing for the sharing and receiving of standardized intelligence bundles. It distinguishes itself by converting complex security information into visual relationship diagrams and geographic maps to ide
Offensive security drives defensive security. We're sharing a collection of SaaS attack techniques to help defenders understand the threats they face. #nolockdown
Sigma is a suite of tools for defining generic log signatures and translating them for multiple backends. It provides a structured way to define malicious behavior and detection logic independently of any specific backend technology, acting as a translation engine that maps generic event fields and correlation logic to the proprietary query languages of security data lakes and SIEM platforms. The project features a plugin-based multi-backend query generator that exports security detections into various database and log management formats. It also includes a threat framework mapping tool that
This project is a community-curated repository of YARA rules used to detect malware, webshells, and other malicious patterns in files. It serves as a dataset of signatures for identifying known malware families, software packers, and threat intelligence indicators. The collection provides specialized detection capabilities for identifying exploit kits and anti-analysis evasion techniques, such as anti-debugging and anti-virtualization methods. It also includes signatures for cryptographic algorithm detection and the identification of unauthorized remote administration tools on servers. The r
A framework for receiving and redistributing abuse feeds