Open-source alternatives to C2IntelFeeds

Loki is an endpoint detection tool, forensic artifact analyzer, and threat intelligence scanner. It functions as a YARA-based indicator of compromise scanner designed to identify malicious persistence mechanisms, web shells, and unauthorized administration tools across local and remote systems. The project distinguishes itself by integrating multi-source threat intelligence, allowing for the loading of custom signature sets and encrypted indicators. It combines hash-based artifact detection with YARA rule execution to scan files, process memory, and registry hives for known malicious byte seq

T-Pot is a multi-honeypot orchestration platform and threat intelligence collector. It utilizes a Docker-based security sandbox to deploy and manage a collection of diverse decoy services that simulate vulnerable targets to lure attackers and record their activity. The system features a distributed sensor network where remote nodes capture attack logs and transmit them via encrypted communication to a central hub. This central hub employs an analytics stack to transform raw logs into geographic maps and interactive dashboards for adversary behavior visualization. To increase the realism of si

TheHive is a security incident response platform and multi-tenant case management system. It functions as a Security Orchestration, Automation, and Response (SOAR) tool and a threat intelligence platform designed to coordinate security investigations by managing alerts, cases, and observables. The platform is distinguished by its multi-tenant architecture, which isolates data across different organizations while supporting selective cross-tenant sharing. It features a SOAR automation engine capable of executing sandboxed JavaScript logic to automate workflows and trigger response actions thro

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

T-Pot is a multi-honeypot platform and threat intelligence framework that deploys a collection of containerized decoy services to capture attacker behavior and network telemetry. It functions as a Docker-based deception system, simulating vulnerable network environments to gather intelligence on threat actors. The system features a distributed sensor network using a hub-and-spoke architecture, allowing remote sensors to transmit logs back to a central management hub. It integrates large language models to create a dynamic deception engine capable of adaptive interactions with attackers. The

This project is a detection-as-code framework providing a library of security monitoring rules and predefined detection content for Elasticsearch data indices. It serves as a threat detection rule library designed to identify malicious activity and attack patterns across diverse data streams in cloud and on-premises environments. The framework implements a detection engineering workflow where rules are defined in YAML and managed as versioned code. It includes a set of command-line utilities for automated rule deployment, metadata searching, and template generation, supported by a Python-base

Lists is a curated collection of DNS blocklists, a domain blocklist generator, and a categorized library of domains used for network content filtering. The project provides a command-line pipeline that aggregates upstream sources to build and validate blocklists used to redirect unwanted traffic to null addresses. The project distinguishes itself through a CLI-driven build pipeline that automates the fetching, validation, and daily regeneration of datasets. It organizes domains into discrete functional categories rather than a single monolithic list and exports them in multiple syntaxes, incl

Blocklist for newly created scam, phishing, and other malicious domains automatically retrieved daily using Google Search API, automated detection, and public databases.

This project is a curated, version-controlled directory of software and resources designed for cybersecurity professionals and researchers. It functions as a centralized knowledge base that aggregates and organizes external security utilities into a structured taxonomy to facilitate discovery and access for specialized research and testing tasks. The repository distinguishes itself through a community-driven model where external resource locations are verified and maintained by contributors. By leveraging a distributed version control system, the project ensures the historical integrity and c

IOCs published by Black Lotus Labs

APTnotes data

DEPRECATED - USE v3 (bearded-avenger)

This project is a comprehensive repository of curated domain blocklists designed for network-wide DNS filtering. It functions as a DNS sinkhole feed, providing the necessary data to intercept and block unwanted network requests at the resolution layer before they reach their destination. By returning null or loopback addresses for identified domains, it prevents connections to malicious infrastructure, advertising servers, and tracking endpoints across all devices on a network. The repository distinguishes itself through a tiered categorization logic that allows users to select protection lev

Credential Phish Analysis and Automation

Indicators of compromise

Defanged Indicator of Compromise (IOC) Extractor.

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FireEye Publicly Shared Indicators of Compromise (IOCs)

Aggregates security advisories from 10 international CERTs daily and provides an AI skill that cross-references alerts against your project's tech stack.

Cyber Threat Intelligence Feeds