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9 个仓库

Awesome GitHub RepositoriesReconnaissance Frameworks

Automated suites for gathering intelligence and mapping attack surfaces.

Explore 9 awesome GitHub repositories matching part of an awesome list · Reconnaissance Frameworks. Refine with filters or upvote what's useful.

Awesome Reconnaissance Frameworks GitHub Repositories

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  • smicallef/spiderfootsmicallef 的头像

    smicallef/spiderfoot

    18,189在 GitHub 上查看↗

    SpiderFoot is an open-source reconnaissance and intelligence automation framework designed to streamline the collection and correlation of data for security investigations. It functions as a comprehensive platform that automates the querying of hundreds of public data sources to map digital footprints, identify exposed assets, and uncover potential security threats across an organization's external perimeter. The platform distinguishes itself through a modular, plugin-based architecture that executes data gathering tasks in parallel, supported by a directed graph data model that tracks relati

    Automation platform with modules for threat intelligence and asset discovery.

    Pythonattacksurfacecticybersecurity
    在 GitHub 上查看↗18,189
  • laramies/theharvesterlaramies 的头像

    laramies/theHarvester

    15,687在 GitHub 上查看↗

    theHarvester is a command-line utility designed for gathering open-source intelligence and mapping an organization's external attack surface. It functions as a security information gathering framework that automates the collection of publicly available data to assist in reconnaissance and threat analysis. The tool utilizes a plugin-based architecture to execute isolated queries against various search engines and public databases. It employs asynchronous task execution to run multiple discovery operations in parallel, while a centralized pipeline aggregates and deduplicates findings from these

    Gathers emails, subdomains, and hosts from public sources.

    Pythonblueteamdiscoveryemails
    在 GitHub 上查看↗15,687
  • owasp/amassOWASP 的头像

    OWASP/Amass

    14,722在 GitHub 上查看↗

    Amass is a network attack surface mapper and reconnaissance framework designed to discover and map the external, internet-facing infrastructure of a target organization. It functions as an open source intelligence tool that identifies public network boundaries and locates hidden or forgotten subdomains to define an organization's total reachable footprint. The project utilizes passive-source data aggregation from external APIs and public databases alongside active DNS brute-forcing and recursive subdomain expansion. It employs a graph-based asset mapping system to visualize the relationships

    Provides an automated suite for gathering intelligence and visualizing the reachable footprint of a target.

    Go
    在 GitHub 上查看↗14,722
  • aboul3la/sublist3raboul3la 的头像

    aboul3la/Sublist3r

    10,957在 GitHub 上查看↗

    Sublist3r is a subdomain enumeration tool and passive reconnaissance framework designed to discover subdomains by querying search engines and public intelligence sources. It functions as a security tool for identifying the digital footprint of a target domain. The project provides both passive enumeration through multi-source API aggregation and active discovery via a DNS brute force tool. It includes a TCP port scanner to identify active services and open ports on discovered subdomains, facilitating attack surface mapping. The tool can be used as a standalone utility or as a Python security

    Provides a framework for gathering target information from external sources without interacting directly with the server.

    Python
    在 GitHub 上查看↗10,957
  • yogeshojha/rengineyogeshojha 的头像

    yogeshojha/rengine

    8,472在 GitHub 上查看↗

    Rengine is an automated reconnaissance framework and vulnerability management platform designed for attack surface monitoring. It functions as a centralized hub for discovering subdomains and open ports, gathering open-source intelligence, and tracking security flaws across target networks. The system integrates large language models to analyze reconnaissance data and generate vulnerability descriptions and insights. It distinguishes itself through a plugin-based tool integration that wraps external security scanning binaries and a target mapping system that tracks changes to assets over time

    Automates the discovery of subdomains, open ports, and attack surfaces using integrated security scanning tools.

    HTMLbug-bountybugbountyhacking
    在 GitHub 上查看↗8,472
  • six2dez/reconftwsix2dez 的头像

    six2dez/reconftw

    7,226在 GitHub 上查看↗

    reconftw is an attack surface management framework and reconnaissance workflow orchestrator designed to automate the discovery, mapping, and monitoring of external digital assets. It operates as a modular tool-chain pipeline that coordinates a sequence of security tools to perform intelligence gathering and vulnerability scanning. The project distinguishes itself through a cloud-native deployment model that parallelizes scanning workloads across a fleet of remote VPS instances to bypass local resource constraints. It utilizes container-based environment isolation to ensure consistent executio

    Automated reconnaissance framework for bug bounty and pentesting.

    Shellbug-bountybugbountybugbounty-tool
    在 GitHub 上查看↗7,226
  • datasploit/datasploitDataSploit 的头像

    DataSploit/datasploit

    3,301在 GitHub 上查看↗

    An #OSINT Framework to perform various recon techniques on Companies, People, Phone Number, Bitcoin Addresses, etc., aggregate all the raw data, and give data in multiple formats.

    Performs various OSINT techniques on usernames, emails, and domains.

    Python
    在 GitHub 上查看↗3,301
  • kpcyrd/sn0intkpcyrd 的头像

    kpcyrd/sn0int

    2,454在 GitHub 上查看↗

    Semi-automatic OSINT framework and package manager

    Semi-automatic OSINT framework and package manager.

    Rust
    在 GitHub 上查看↗2,454
  • 3nock/sub3suite3nock 的头像

    3nock/sub3suite

    576在 GitHub 上查看↗

    OSINT Template Engine

    Research-grade suite for intelligence gathering and target mapping.

    C
    在 GitHub 上查看↗576
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