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alexandreborges avatar

alexandreborges/malwoverview

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github.com/alexandreborges/malwoverview↗

Malwoverview

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 a signature scanner that applies YARA rules to local files.

The system covers a broad range of security operations, including malware analysis workflows, vulnerability research via database searches, and IP intelligence lookups. It supports technical tasks such as malware overlay extraction, import hash grouping for variant identification, and the submission of samples to external analysis engines.

Features

  • Threat Indicator Aggregators - Aggregates reputation and behavior reports for hashes, IPs, and domains from multiple security services.
  • Threat Intelligence Aggregation - Orchestrates queries across multiple external security services and sandboxes to aggregate reputation and behavioral data.
  • Security Observable Extractions - Extracts security observables such as IP addresses, hashes, and domains from diverse unstructured sources.
  • Indicator Extraction Tools - Parses unstructured text, PDFs, and web pages to isolate hashes, IP addresses, and domains.

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3,882 stars·529 forks·Python·GPL-3.0·25 views
  • Threat Intelligence - Retrieves security data for hashes, IPs, and domains by querying external sandboxes and threat engines.
  • Document and Unstructured Extraction - Parses documents and web pages using regex and patterns to isolate indicators of compromise.
  • AI-Driven Risk Assessments - Uses language models to provide automated risk assessments and framework mappings for security queries.
  • Incident Response Triage - Provides capabilities for rapidly identifying threats across batches of indicators during active security breaches.
  • Malware Analysis Frameworks - Provides a modular system for submitting samples to sandboxes and automating the triage of suspicious files.
  • Malware Sample Submissions - Ships functionality to upload suspicious files to external sandboxes for dynamic and static behavior reporting.
  • YARA-Based Scanning - Applies YARA rules and signature engines to detect malware patterns within local files and directories.
  • Cyber Intelligence Aggregators - Combines data from multiple security services and APIs into a unified intelligence view for analyzing indicators.
  • Threat Indicator Correlators - Cross-references file hashes across multiple security platforms to identify consistent threat markers.
  • Malware Analysis Workflows - Orchestrates the submission of suspicious files to analysis engines and groupings of variants via import hashes.
  • Query Orchestrators - Coordinates data retrieval lifecycles across multiple sandboxes and threat engines to aggregate reports.
  • Security CLI Tools - Provides a command-line interface for integrating threat intelligence and incident triage into automated workflows.
  • IP Intelligence Tools - Retrieves BGP, Whois, and ownership details to analyze public IP addresses.
  • AI-Generated Risk Summaries - Integrates language models to generate automated risk summaries and framework mappings from gathered intelligence.
  • Vulnerability Detail Retrievals - Retrieves specific vulnerability records and metadata from databases like NIST and VulnCheck using identifiers.
  • IP Reputation Scoring - Aggregates risk scores and classification data from security databases to evaluate IP trustworthiness.
  • Vulnerability Data Query Engines - Provides an interface for searching and filtering vulnerability databases using keywords and severity criteria.
  • Vulnerability Research - Investigates and identifies security weaknesses by querying vulnerability databases.
  • Batch Indicator Scanning - Scans large lists of hashes or entire directories of files against threat intelligence engines to identify threats.
  • Batch Request Processing - Executes multiple external security service queries concurrently to optimize large-scale indicator investigations.
  • Modular Plugin Architectures - Implements a modular architecture that decouples threat intelligence providers from the core logic for easy extensibility.
  • Response Normalization Layers - Standardizes diverse responses from external security APIs into a consistent internal structure for analysis.
  • AI-Powered Enrichment - Provides AI-driven risk assessments and framework mappings to enrich security query results for analysts.
  • Linux Security Tools - First-response tool for threat hunting and malware analysis.
  • Malware Analysis - Performs quick triage on malware samples.
  • Star history

    Star history chart for alexandreborges/malwoverviewStar history chart for alexandreborges/malwoverview

    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.

    Projects sharing features with Malwoverview

    These projects share indexed features with Malwoverview. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
    • neo23x0/lokiNeo23x0 avatar

      Neo23x0/Loki

      3,763View on GitHub↗

      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

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    • misp/mispMISP avatar

      MISP/MISP

      6,360View on GitHub↗

      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

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    • ufrisk/memprocfsufrisk avatar

      ufrisk/MemProcFS

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      MemProcFS is a volatile memory analysis tool and cross-platform memory acquisition system. It functions as a memory forensic virtual file system, mapping physical memory and kernel objects into a virtual directory structure that allows users to analyze system artifacts using standard file system tools. The project distinguishes itself by providing a virtual file system for memory forensics, enabling the browsing and querying of physical memory as read-only files and folders. It also incorporates a Yara-based memory scanner to identify malware signatures and injected code within physical memor

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    • ytisf/thezooytisf avatar

      ytisf/theZoo

      13,126View on GitHub↗

      TheZoo is a centralized repository and management system designed for the storage, organization, and retrieval of live malicious software samples. It provides a structured environment for security researchers and educators to access, track, and analyze dangerous code for the purpose of threat intelligence and defense development. The system utilizes a command-line interface to manage the lifecycle of malware samples, including the preparation of new submissions and the querying of a centralized database. To ensure safety and authenticity, the platform stores binaries in password-protected, en

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      View on GitHub↗13,126
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    Frequently asked questions

    What does alexandreborges/malwoverview do?

    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.

    What are the main features of alexandreborges/malwoverview?

    The main features of alexandreborges/malwoverview are: Threat Indicator Aggregators, Threat Intelligence Aggregation, Security Observable Extractions, Indicator Extraction Tools, Threat Intelligence, Document and Unstructured Extraction, AI-Driven Risk Assessments, Incident Response Triage.

    Which projects share features with alexandreborges/malwoverview?

    Projects with overlapping indexed features include: neo23x0/loki — Loki is an endpoint detection tool, forensic artifact analyzer, and threat intelligence scanner. It functions as a… misp/misp — MISP is an open-source threat intelligence sharing platform designed for collecting, storing, and distributing… ufrisk/memprocfs — MemProcFS is a volatile memory analysis tool and cross-platform memory acquisition system. It functions as a memory… ytisf/thezoo — TheZoo is a centralized repository and management system designed for the storage, organization, and retrieval of live… thehive-project/thehive — TheHive is a security incident response platform and multi-tenant case management system. It functions as a Security… intelowlproject/intelowl — IntelOwl is a threat intelligence platform and security orchestration engine designed to aggregate, analyze, and…