Open-source alternatives to Threatbus

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

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

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

HELK is a containerized security information and event management environment and threat hunting platform. It provides a security-focused deployment of the ELK stack, combining Elasticsearch, Logstash, and Kibana into a specialized platform for investigating logs and discovering hidden patterns in network and system security data. The project functions as a security data science suite, integrating interactive computational notebooks and distributed processing tools to run machine learning and graph analytics on security logs. This allows for the identification of hidden attack patterns and an

A Python application to filter and transfer Zeek logs to Elastic/OpenSearch+Humio. This app can also output pure JSON logs to stdout for further processing!

IOCs published by Black Lotus Labs

DetectionLab is a reproducible Windows Active Directory security lab designed for testing detection capabilities. It uses an automation framework based on Vagrant and Packer to provision virtualized networks across multiple hypervisors and cloud platforms. The project utilizes Ansible for the declarative installation and configuration of domain services and endpoint security tools. It incorporates a browser-based remote access interface via Apache Guacamole to manage laboratory hosts without requiring standalone remote desktop clients. The environment includes a telemetry pipeline that aggre

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Varna: Quick & Cheap AWS CloudTrail Monitoring with Event Query Language (EQL)

Indicators of Compromises (IOC) of our various investigations

This is where I'll post IOCs from malware investigations

capa is a static analysis tool that scans executable files to identify what a program can do, detecting capabilities such as API calls, byte sequences, and structural patterns without executing the code. It supports multiple file formats including PE, ELF, .NET, and shellcode, and can also process runtime behavior traces from sandbox reports generated by CAPE, DRAKVUF, or VMRay. The tool integrates directly with reverse engineering environments through plugins for IDA Pro and Ghidra, allowing analysts to view capability matches and author detection rules within their disassembler of choice. C

Credential Phish Analysis and Automation

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

Indicators of compromise