30 open-source projects similar to misp/misp, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best MISP alternative.
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
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
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
Maltrail is a malicious traffic detection system used for network intrusion detection. It consists of a network intrusion sensor for monitoring interfaces, a threat intelligence aggregator for syncing blacklists, and a detection engine that identifies security threats through signature matching and heuristic attack patterns. The system distinguishes itself through a distributed sensor architecture that collects traffic data from multiple remote probes and forwards events to a central analysis server. It employs heuristic behavioral analysis to identify unknown threats, such as port scanning o
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
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
CrowdSec is a collaborative, distributed security engine designed for threat detection and infrastructure protection. It functions as an intrusion detection system that parses logs and network traffic to identify malicious patterns, utilizing a bucket-based threshold detection model to aggregate events and trigger alerts. The platform is built on a modular architecture that includes a centralized local API server for managing security signals and a relational database for persistent storage of remediation decisions. What distinguishes the project is its decoupled enforcement model, which offl
useSend is an email marketing platform and transactional delivery system built to manage bulk campaigns and individual messages using AWS SES for delivery. It provides a RESTful API, an SMTP relay gateway, and a visual management interface for designing HTML templates and coordinating email broadcasts. The platform distinguishes itself by translating legacy SMTP traffic into modern API calls and implementing an event-driven webhook system. This system pushes real-time delivery, bounce, and click notifications to external servers using HMAC-SHA256 signed payloads to ensure authenticity. The s
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
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
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
Tool to gather Threat Intelligence indicators from publicly available sources
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
Binary analysis and management framework
Indicators of Compromises (IOC) of our various investigations
YARA rule metadata specification and validation utility / Spécification et validation pour les règles YARA
A tool to help malware analysts signature unique parts of RTF documents
Malware Configuration And Payload Extraction
Yet Another Yara Automaton - Automatically curate open source yara rules and run scans
Defanged Indicator of Compromise (IOC) Extractor.