Open Source Python OSINT Tools - Page 3
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Python OSINT Tools
View 5807 business solutionsBrowse free open source Python OSINT Tools and projects below. Use the toggles on the left to filter open source Python OSINT Tools by OS, license, language, programming language, and project status.
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Rezku Point of SaleRezku is an all-inclusive ordering platform and management solution for all types of restaurant and bar concepts. You can now get a fully custom branded downloadable smartphone ordering app for your restaurant exclusively from Rezku.
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Failed Payment Recovery for Subscription BusinessesFlexPay’s innovative platform uses multiple technologies to achieve the highest number of retained customers, resulting in reduced involuntary churn, longer life span after recovery, and higher revenue. Leading brands like LegalZoom, Hooked on Phonics, and ClinicSense trust FlexPay to recover failed payments, reduce churn, and increase customer lifetime value.
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Argus
Python toolkit for OSINT and reconnaissance with 135+ modules
Argus is a Python-based open source toolkit designed to simplify information gathering and reconnaissance tasks in cybersecurity. It provides an integrated command-line environment that consolidates numerous reconnaissance utilities into a single framework. The tool enables users to collect data about networks, domains, web applications, and infrastructure in an organized and efficient manner. Argus includes a modular architecture with more than 130 modules that support activities such as DNS analysis, port scanning, web application inspection, and threat intelligence lookups. Its interactive CLI allows users to browse available modules, configure targets, run scans, and review results from within a unified interface. The project aims to reduce the complexity of using multiple separate reconnaissance tools by bringing them together in one streamlined platform. Argus also supports integrations with external intelligence services. -
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BBOT
The recursive internet scanner for hackers
BBOT is an advanced open-source reconnaissance automation framework designed to streamline large-scale OSINT and attack surface discovery workflows. It operates as a modular and recursive scanning tool that can enumerate subdomains, perform port scans, gather metadata, and collect web intelligence through a unified command-line interface. The project emphasizes extensibility, allowing users to create or integrate custom modules that expand the scope of reconnaissance tasks without modifying the core engine. BBOT is particularly valuable for security researchers and red teamers who need to automate multi-stage discovery processes across complex infrastructures. Its architecture supports chaining multiple reconnaissance techniques together, enabling continuous discovery rather than one-off scans. The tool balances power and usability by providing sensible defaults while still exposing deep configuration options for advanced users. -
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Fav-up
Look up IP addresses using favicon hashes via Shodan
fav-up is an open source reconnaissance utility designed to identify servers and websites by analyzing favicon hashes and querying the Shodan search engine. It calculates the hash of a favicon image and then uses that value to search Shodan for other hosts that use the same icon. This technique is commonly used in security research and OSINT investigations to discover related infrastructure or services that may belong to the same organization. fav-up can retrieve favicon data from several sources, including local files, direct favicon URLs, or full web pages where the favicon is automatically extracted. fav-up then computes the favicon hash and performs Shodan queries to locate IP addresses that match the same hash. To support larger investigations, the tool can iterate over lists of URLs, domains, or favicon files in bulk. Results can be printed to the console or exported into structured formats such as CSV or JSON for further analysis and reporting. -
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FavFreak
Favicon hash–based reconnaissance tool for security research
FavFreak is an open source reconnaissance tool designed to assist security researchers, bug bounty hunters, and penetration testers in identifying web technologies using favicon hashes. It works by taking one or more URLs as input and automatically retrieving the favicon.ico file associated with each target website. After fetching the favicon, it calculates a hash value and organizes the scanned domains, subdomains, or IP addresses according to these hashes. FavFreak then compares the generated hashes against a predefined fingerprint dictionary that maps known favicon hashes to specific technologies or services. If a match is found, it displays the corresponding technology information in the output, helping researchers quickly identify potential targets or related infrastructure. This approach is particularly useful during reconnaissance phases of security assessments because many web services share identical favicon hashes. -
Turn traffic into pipeline and prospects into customersDocket is an AI-powered sales enablement platform designed to unify go-to-market (GTM) data through its proprietary Sales Knowledge Lake™ and activate it with intelligent AI agents. The platform helps marketing teams increase pipeline generation by 15% by engaging website visitors in human-like conversations and qualifying leads. For sales teams, Docket improves seller efficiency by 33% by providing instant product knowledge, retrieving collateral, and creating personalized documents. Built for GTM teams, Docket integrates with over 100 tools across the revenue tech stack and offers enterprise-grade security with SOC 2 Type II, GDPR, and ISO 27001 compliance. Customers report improved win rates, shorter sales cycles, and dramatically reduced response times. Docket’s scalable, accurate, and fast AI agents deliver reliable answers with confidence scores, empowering teams to close deals faster.
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GitGot
Semi-automated tool for discovering exposed secrets in GitHub data
GitGot is an open source security tool designed to help users quickly search large amounts of public data on GitHub to identify potentially exposed secrets. It operates as a semi-automated, feedback-driven system that combines automated search capabilities with human guidance to refine results during investigation. GitGot leverages the GitHub Search API to perform queries across repositories, files, and gists, allowing security researchers and penetration testers to discover sensitive information that may have been unintentionally exposed in public code. During a search session, users review results and provide feedback that allows GitGot to filter out irrelevant or repetitive findings. This feedback is used to build blacklists that eliminate results based on repository names, file names, user names, or fuzzy matches of file content. The approach helps reduce noise while guiding the search process toward more relevant results. -
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HostHunter
OSINT reconnaissance tool for discovering hostnames from IP addresses
HostHunter is an open source reconnaissance tool designed to discover and extract hostnames associated with a large set of IPv4 or IPv6 addresses. It helps security professionals map IP addresses to virtual hostnames using a combination of OSINT data sources and active reconnaissance techniques. This approach enables users to identify hidden or additional services that may be hosted behind a single IP address. By correlating hostname information from certificates, APIs, HTTP headers, and other sources, the tool helps reveal the broader attack surface of an organization or infrastructure. HostHunter is commonly used in penetration testing, bug bounty reconnaissance, and security assessments where identifying virtual hosts is critical. HostHunter supports multiple output formats, making it easier to integrate the results into other security tools or workflows. -
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IPRanges
Daily updated lists of cloud, bot, and service IP ranges
ipranges is an open source repository that provides continuously updated lists of IP address ranges associated with major cloud providers, search engine crawlers, and online services. ipranges collects IP ranges from publicly available sources and organizes them into structured files that can be easily used in security, networking, and automation workflows. It includes address ranges from providers such as Google Cloud, Amazon AWS, Microsoft, Oracle Cloud, and DigitalOcean, as well as well known service platforms like GitHub, Facebook, Twitter, and Telegram. It also tracks IP ranges used by search engine bots and automated agents including Googlebot, Bingbot, and OpenAI’s GPTBot. Lists are published in both IPv4 and IPv6 formats and are regularly updated through automated processes to keep the data current. In addition to provider specific lists, the project also offers merged and combined datasets that aggregate ranges from multiple sources into a single file. -
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Mantis
Automated framework for asset discovery and vulnerability scanning
Mantis is an open source security framework designed to automate the workflow of asset discovery, reconnaissance, and vulnerability scanning for organizations and security teams. Mantis operates through a command line interface and accepts targets such as top level domains, IP addresses, or network ranges as input. From these inputs, it automatically discovers associated digital assets including subdomains and SSL certificates, allowing users to map the attack surface of a system. After discovery, the framework performs reconnaissance on active assets to gather technical information such as open ports, technologies, network details, and hosting infrastructure. Mantis then conducts security scans to identify vulnerabilities, exposed secrets, configuration weaknesses, and potentially malicious phishing domains. It integrates both open source and custom security tools to automate multiple phases of a security assessment in a single workflow. -
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OneForAll
OneForAll is a powerful subdomain collection tool
OneForAll is a comprehensive subdomain enumeration and reconnaissance tool primarily used in penetration testing and bug bounty workflows. Built in Python, it aggregates results from numerous DNS, certificate transparency, search engine, and threat intelligence sources to uncover hidden subdomains. The tool is particularly notable for incorporating many Chinese data sources that are often missed by Western-focused recon tools, increasing discovery coverage. It supports brute-force subdomain discovery, recursive scanning, and takeover detection to help identify potential attack surfaces. OneForAll also performs validation and enrichment of discovered domains, producing structured outputs for further analysis. Overall, it is a powerful asset discovery platform designed to maximize subdomain visibility during security assessments. -
Premier Construction SoftwareRated #1 Construction Accounting Software by Forbes Advisor in 2022 & 2023. Our modern SAAS solution is designed to meet the needs of General Contractors, Developers/Owners, Homebuilders & Specialty Contractors.
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OnionSearch
Search multiple Tor .onion engines at once and collect hidden links.
OnionSearch is a Python-based command-line tool designed to collect and aggregate links from multiple search engines on the Tor network. The script works by scraping results from a variety of .onion search services, allowing users to perform a single query while gathering results from many sources at once. This approach helps researchers and investigators locate hidden services more efficiently without manually querying each individual search engine. It is primarily intended for educational use and open-source intelligence (OSINT) research involving the Tor network. OnionSearch supports multiple engines and can combine results into a single output, making it easier to analyze discovered onion links. It also offers flexible command-line options that allow users to limit results, choose which engines to query, and export collected data. By automating searches across several dark web search engines, OnionSearch simplifies the process of discovering information on hidden services. -
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Phishing Catcher
Real-time phishing domain detection via Certificate Transparency logs
phishing_catcher is a security monitoring tool designed to detect potential phishing domains in near real time by analyzing TLS certificate issuance events. It listens to Certificate Transparency (CT) logs through the CertStream API and evaluates newly issued certificates as they appear. Each certificate often contains one or more domain names, which the tool analyzes to determine whether they resemble suspicious or phishing-related domains. phishing_catcher applies a configurable scoring mechanism that assigns numeric values to certain keywords, patterns, or top-level domains found within certificate domain names. When a domain’s score exceeds predefined thresholds, it is flagged as potentially malicious and reported accordingly. It operates continuously, processing certificate updates as they arrive and displaying or logging domains that appear suspicious. This approach allows analysts, researchers, and security teams to identify phishing infrastructure early. -
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Raccoon
High-performance reconnaissance and vulnerability scanning tool
Raccoon is a high-performance offensive security tool designed to assist with reconnaissance and vulnerability scanning during penetration testing and security assessments. It automates several common reconnaissance tasks, allowing security professionals to quickly gather information about a target system or web application. The tool combines multiple scanning techniques into a single workflow, helping users identify potential weaknesses, exposed services, and accessible resources on a target host. Raccoon can perform DNS enumeration, subdomain discovery, and URL fuzzing to uncover hidden endpoints and infrastructure components. It also integrates network scanning capabilities through tools such as Nmap to detect open ports, services, and potential vulnerabilities. By consolidating these reconnaissance tasks into a single command-line interface, Raccoon aims to streamline the early phases of security testing and provide actionable information for further investigation. -
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SocialPwned
OSINT tool to collect emails from social networks and find leaks
SocialPwned is an OSINT tool designed to gather publicly exposed email addresses from social networks and analyze them for potential credential leaks. It helps security researchers and penetration testers identify vulnerable targets during the footprinting phase of ethical hacking engagements. It collects email addresses associated with individuals or organizations from platforms such as Instagram, LinkedIn, and Twitter. Once emails are discovered, SocialPwned searches for leaked credentials using breach databases like PwnDB and Dehashed to determine whether those accounts have appeared in data leaks. SocialPwned also integrates with GHunt to retrieve additional public information related to Google accounts linked to the discovered emails. By combining social media intelligence with breach data analysis, SocialPwned helps investigators identify reused passwords and patterns that may indicate potential security weaknesses. -
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Somedo
Social Media Downloader
Social Media Downloader for Open Source Intelligence purpos. Supportes so far: Facebook Instagram Twitter -
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TIDoS
Python web penetration testing framework with modular security tools
TIDoS-Framework is an open source web application penetration testing framework designed to assist security researchers and ethical hackers in identifying vulnerabilities in web systems. It provides a comprehensive environment for performing multiple phases of security assessment, including reconnaissance, scanning, enumeration, vulnerability analysis, and exploitation. Its modular architecture contains more than one hundred modules organized into several testing phases, allowing users to automate or manually run different security checks against a target application. The framework includes both graphical and command-line interfaces, enabling flexible interaction depending on the user’s workflow and preferred interface. A console interface inspired by tools like Metasploit allows testers to execute modules, manage targets, and perform operations efficiently. TIDoS is implemented in Python and supports multiprocessing to speed up scanning and testing operations. -
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TorBot
Dark Web OSINT Tool
Contributions to this project are always welcome. To add a new feature fork the dev branch and give a pull request when your new feature is tested and complete. If its a new module, it should be put inside the modules directory. The branch name should be your new feature name in the format <Feature_featurename_version(optional)>. On Linux platforms, you can make an executable for TorBot by using the install.sh script. You will need to give the script the correct permissions using chmod +x install.sh Now you can run ./install.sh to create the torBot binary. Run ./torBot to execute the program. Crawl custom domains.(Completed). Check if the link is live.(Completed). Built-in Updater.(Completed). TorBot GUI (In progress). Social Media integration.(not Started). -
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dnstwist
Detects phishing and lookalike domains using DNS fuzzing techniques
dnstwist is an open source cybersecurity tool designed to identify malicious or suspicious domain names that imitate legitimate websites. It works by generating a large set of domain name permutations based on a target domain and analyzing whether any of those variants are actively registered or used. These permutations simulate common techniques used in phishing attacks, typosquatting, and brand impersonation campaigns. Security teams can use the tool to discover potential threats where attackers attempt to deceive users with lookalike domains. dnstwist also helps detect phishing activity by comparing web page content and visual similarity between domains using fuzzy hashing and perceptual hashing techniques. By automating DNS fuzzing and analysis, it provides organizations with an additional source of targeted threat intelligence. The tool can output results in structured formats, making it easier to integrate with security workflows or further analyze suspicious domains. -
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linkedin2username
Generate probable usernames from LinkedIn company employee lists
linkedin2username is an open source OSINT (Open Source Intelligence) tool designed to generate lists of potential usernames by scraping employee information from a company’s LinkedIn page. It logs into LinkedIn using valid user credentials and collects publicly visible employee names associated with a specified organization. Using these names, it automatically generates multiple possible username formats that organizations commonly use for accounts or email addresses. This process helps security researchers, penetration testers, and investigators perform reconnaissance by building potential username lists for further security testing or OSINT analysis. Unlike tools that rely on official APIs, linkedin2username operates as a pure web scraper and therefore does not require API keys. The script uses Selenium to automate browser interactions and perform searches within LinkedIn to gather employee data.
