Xalgorix delivers AI-driven penetration testing that proves vulnerabilities exist rather than guessing, pairing an autonomous LLM agent with an independent exploit verifier that re-exploits every finding before it reaches your report. The 22-phase methodology mirrors how a skilled human pentester works through an engagement, covering reconnaissance, subdomain enumeration, port scanning, web crawling, parameter fuzzing, SQL injection testing, XSS detection, authentication bypass, API testing, and more. Select all phases or pick specific ones per target. The platform ships with 85+ offensive security tools preinstalled (nmap, nuclei, httpx, subfinder, katana, ffuf, gobuster, sqlmap, masscan, dalfox, feroxbuster) plus 14 built-in agent tools for browser automation, terminal execution, and note-taking. Connect your own LLM provider (OpenAI, Anthropic, DeepSeek, Gemini, Groq, Ollama, or MiniMax) so no scan data or target information leaves your infrastructure. The web dashboard on port 9137 provides live WebSocket telemetry showing tool calls, agent reasoning, and findings as scans progress. A findings index with CVSS scoring and severity filters organizes results, and branded PDF reports include your company name and logo. Wildcard and multi-target scans handle red team attack-surface mapping, while source-code scanning audits repositories directly without requiring a deployed target. A REST API enables scripted scans and SIEM pipeline integration, and webhooks push notifications to Discord or Telegram. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Autonomous red team execution without manual script coordination is what PentaGI delivers through a multi-agent penetration testing platform engineered for automated security assessments. Security engineers configure testing scopes, target IP ranges, domain lists, and rules of engagement through an interactive web console with real-time execution graphs. Autonomous agent personas break down high-level assessment goals into discrete tactical phases, orchestrating network port discovery, service banner fingerprinting, web application crawling, and CVE verification. Specialized agents query integrated Graphiti knowledge graphs and local vulnerability repositories to synthesize attack paths, validate exploitability, and confirm finding veracity before issuing alerts. Operators monitor live agent terminal streams, inspect sandboxed tool executions, and adjust active LLM provider routes across OpenAI, Anthropic, or local Ollama endpoints. The template editor allows red teams to compose reusable testing playbooks with customizable security prompt chains, safety constraints, and automated remediation reporting. Audit logs capture full command histories, raw tool outputs, and LLM reasoning steps to generate compliance-ready technical documentation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Point Sirius Scan at a network range and it finds live hosts, fingerprints their services, and lists every matching CVE with its CVSS score in a live web dashboard. The Vulnerability Navigator groups findings by severity, filters on CVSS, and exports results for remediation tracking. Scans run on Nmap with NSE scripts kept in sync with upstream, alongside Naabu port scanning. Lightweight remote agents connect back over gRPC from other networks, so segments the central scanner cannot reach still get assessed, and the same agents can run YAML detection templates locally in CLI mode with no server connection at all. An operator console runs PowerShell commands against connected agents and keeps command history beside the scan results. Real-time progress, severity trend charts, host detail pages, and an environment overview show what changed between scans. A REST API on port 9001 with API key authentication feeds results into existing security workflows, while service health monitoring and centralized logging confirm the platform itself is behaving. An installer generates fresh secrets and an initial admin password, and production overlays tighten the deployment further. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Big repositories, small questions: Open Kritt is a self-hosted platform that splits vulnerability research into focused tasks for AI agents and returns ranked, de-duplicated findings. Build a workflow as a tree of prompt steps, where each step declares the structured output it must produce and the next level launches one fresh agent per result. Scan remote or local repositories along with their dependencies, using Codex, Claude Code, or Grok Build as the harness. Every workflow ends in one fixed finding schema covering file, line, vulnerability type, trigger flow, and a malicious input example. Post-scripts then validate each finding, build a proof of concept, or write the report. Markdown severity rankers tell the model how to prioritize for your bounty program, and repeated findings collapse automatically. Model access comes from a Codex login or OpenAI, Anthropic, DeepSeek, OpenRouter, or xAI keys, with an Active switch to choose which accounts take new work. A dashboard tracks blueprints, scans, and findings, a headless command-line tool imports workflows and launches scans on servers without a browser, and finished scans export as one ZIP with a share-safe manifest. Built-in workflows, including an entry-point-driven hunt, give you a starting point. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

A man-in-the-middle proxy you run on purpose, mitmproxy lets developers and testers inspect, edit, and replay HTTP and HTTPS traffic from any client. Point a browser, phone, or script at it and every HTTP/1, HTTP/2, HTTP/3, WebSocket, and TLS-protected connection appears as a flow you can open, search, and filter. Content views turn payloads from HTML to Protobuf into readable text. Intercept a request or response before it moves on, change its headers, body, or status by hand, then release it, or save the flow and replay it to the client or the server later. Map local and map remote rules answer requests with files or other URLs, while blocklists, anticache, sticky cookies, and proxy authentication cover routine test chores. Choose the interface that fits the job: a keyboard-driven terminal console, mitmweb in the browser with a Capture tab that sets up WireGuard devices with a QR code, or mitmdump for unattended logging in scripts. Proxy modes include regular, local capture, WireGuard, transparent, reverse, upstream, SOCKS5, and DNS. Addons written in Python add custom rewriting, recording, and automation. Teams use it for debugging, testing, privacy measurements, and penetration testing. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Enter a URL and get a dashboard of everything publicly discoverable about its security posture, server architecture, and technology stack: Web-Check is an all-in-one OSINT tool for analyzing any website. One scan surfaces IP info and server location, the full SSL certificate chain with issuing authority and validity, DNS records (A, MX, NS, CNAME, TXT) with DNSSEC status, HTTP response headers interpreted for security directives like HSTS, CSP, and X-Frame-Options, cookies and their flags, WHOIS domain info, robots.txt crawl rules, a sitemap-derived page map, the redirect ledger, open ports, traceroute, detected technologies, third-party trackers, associated hostnames, site performance, and even carbon footprint. Each card explains what the data means and why it matters, which makes the tool double as a security education resource - junior engineers learn headers and attack surfaces by scanning real sites. Practical uses span pre-deployment security audits (catch missing headers and misconfigurations before they ship), privacy compliance checks (identify trackers and cookie behavior for GDPR work), competitive tech-stack research, and network debugging via DNS and redirect inspection. Built by Lissy93 in TypeScript, it deploys as a single Docker container, and self-hosting keeps your reconnaissance targets and audit activity off third-party services.

Security scanners each report in their own format, and DefectDojo is the self-hosted platform that imports those reports and keeps a single, triaged list of findings. Reports in mixed formats? More than 350 built-in parsers read output from Burp Suite, ZAP, Trivy, Tenable Nessus, SonarQube, Snyk, and Checkmarx, and Generic Findings Import covers tools without a parser through CSV or JSON files. The same scan every night? Reimport adds new findings, can close the ones that vanished, and reopens the ones that return, while deduplication ties repeat detections inside an asset to their original. Decisions already made? False positive, out of scope, and risk accepted statuses survive reimport, so nobody triages the same noise twice. A deadline on every fix? Severity-based SLA countdowns flag breaches and can notify the users assigned to each asset, and full risk acceptances carry notes, files, and an expiry date that returns findings to active by default. Many teams, many applications? Organizations, assets, engagements, and tests mirror how security work is organized, with permissions that cascade downward. Pipelines that should report themselves? The REST API and CI/CD engagements import results automatically, and findings push to Jira as tickets. Someone outside security wants a summary? Dashboards track metrics, and a widget-based report builder produces HTML reports that print to PDF. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-3-Clause licensed.

Protecting over 10,000 organizations worldwide with 16,000+ GitHub stars, Wazuh delivers enterprise-grade security operations through a fully open-source platform with zero feature gating. The unified XDR and SIEM solution deploys lightweight agents across Linux, Windows, macOS, Solaris, AIX, and HP-UX endpoints that stream security telemetry to a centralized cluster built on OpenSearch for indexing and the Wazuh Dashboard for visualization and management. Core capabilities include real-time file integrity monitoring with inotify-based detection and who-data attribution, automated vulnerability assessment that correlates software inventories against continuously updated CVE databases, Security Configuration Assessment against CIS benchmarks, rootkit detection, and log data analysis with a rules engine supporting over 3,000 built-in detection rules mapped to MITRE ATT&CK tactics and techniques. Wazuh monitors cloud infrastructure at the API level with native modules for AWS, Azure, and Google Cloud, detects container anomalies through Docker engine integration, and ingests third-party telemetry via syslog and REST APIs from sources like VirusTotal, TheHive, YARA, Suricata, and PagerDuty. Pre-built compliance dashboards and reports cover PCI DSS, HIPAA, NIST 800-53, GDPR, and TSC frameworks. Active response capabilities automatically trigger countermeasures including firewall rule updates, account lockouts, and endpoint isolation when threats are detected. The platform scales horizontally with multi-node clustering for high availability. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-2.0 licensed.

With over 14,000 GitHub stars and a growing global network of security deployments, CrowdSec turns every attack on any participating server into protection for the entire community. The security engine operates as a combined IDS/IPS and WAF, analyzing log sources from Nginx, Apache, SSH, WordPress, and over 50 other services to detect brute force attacks, port scans, web vulnerability exploitation, and credential stuffing in real time. When one server detects a new threat, the attacker's IP is shared through the community blocklist, proactively protecting thousands of other installations before the attacker can reach them. The built-in WAF powered by Coraza v3 inspects HTTP requests at the application layer, validates against OpenAPI schemas, and applies custom rules with flexible AND/OR condition mixing for precise threat detection. Bot detection serves challenge pages with client fingerprinting to distinguish legitimate traffic from automated scrapers and scanners. Remediation components block malicious IPs at multiple infrastructure layers including iptables, nftables, Nginx, HAProxy, Cloudflare, and AWS Security Groups through the detect-here-remedy-there architecture. The scenario-based detection system ships with default rules for common attack patterns and supports custom scenarios written in YAML with an expressive filter language. A centralized console provides real-time visualization of alerts, threat intelligence analysis, and management of multiple distributed security engines. GDPR compliant by design, all log analysis happens locally and raw logs never leave your infrastructure. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

SpiderFoot is an open-source OSINT automation platform, replacing hours of manual reconnaissance with automated intelligence gathering across more than 200 data collection modules. The platform accepts ten distinct target types including IP addresses, domains, hostnames, network subnets, ASNs, email addresses, phone numbers, usernames, person names, and Bitcoin addresses, then feeds them through a publisher-subscriber event bus where each module's findings trigger downstream analysis automatically. SpiderFoot queries Shodan, VirusTotal, HaveIBeenPwned, AlienVault OTX, Censys, crt.sh, WHOIS databases, social media platforms, breach databases, and dozens more sources, with most modules requiring no API keys and many offering free tiers for those that do. The YAML-configurable correlation engine applies 37 pre-defined rules to identify relationships between discovered data points, flagging patterns like shared infrastructure, credential exposure, and domain reputation anomalies. Results export in CSV, JSON, and GEXF graph formats for integration with external analysis tools. TOR integration enables dark web searching, and SpiderFoot can invoke external tools including DNSTwist, Whatweb, Nmap, and CMSeeK for deeper technical assessment. The embedded web server delivers an intuitive dashboard for scan management, data visualization, and result exploration alongside a full command-line interface for scripted automation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

PRISM consolidates passive reconnaissance, credential leak detection, and network asset mapping into a unified operational dashboard to replace fragmented command-line security tools. Analysts can launch simultaneous multi-source investigations against domains, internet protocol addresses, email mailboxes, phone numbers, and online handles to uncover domain registrations, open network ports, cryptographic certificates, and historical web archives. The platform interrogates threat feeds and leak repositories to expose credential leaks, dark web mirrors, and email routing anomalies with automated SMTP mailbox verification. Cross-platform identity engines crawl thousands of social networks and public registries to correlate aliases, discover leaked commit identities, and trace digital footprints across the web. Discovered assets render into interactive entity relationship graphs alongside geographic internet protocol maps to help investigators visualize infrastructure clusters and ownership links. An automated operational security calculator evaluates exposure vulnerabilities across identity, web, and infrastructure vectors, producing an aggregated risk score with granular hardening recommendations. Scheduled watchlists continually monitor target infrastructure, dispatching webhook notifications to chat channels whenever new subdomains, ports, or credential leaks appear. Investigators can export comprehensive audit dossiers as self-contained HTML files, styled PDF documents, or structured spreadsheets. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Hunting for a suspicious file, process, or registry key across every endpoint becomes a single hunt in Velociraptor, an endpoint visibility and digital forensics platform. A web console sends tasks to clients on Windows, Linux, and macOS machines, which hold a persistent connection and run each task as soon as it is issued. A hunt runs a VQL artifact, one of more than 400 built in, across selected endpoints, picks up machines that reconnect later, and tracks which hosts have answered. Each hunt and collection opens into a notebook where markdown and live VQL cells group, filter, and timeline the results. A virtual file system browses a client's directories and fetches files through file, NTFS, and registry accessors, with hex and text viewers. Offline collectors bundle chosen artifacts into one binary that writes an optionally encrypted container for later import, suiting machines that never reach the server. Client event queries stream telemetry such as DNS lookups to the server, and server event queries can alert Slack, email, Elastic, or Splunk. Quarantine confines a host's network traffic to the Velociraptor server, and the Shell page runs commands on it. Sign-in works through Google, Azure, GitHub, OIDC, or SAML, with reader, analyst, investigator, and administrator roles. Responders reach for it during threat hunts, compromised host triage with KapeFiles targets, and dead disk image analysis. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

MISP is an open source threat intelligence platform where analysts log indicators and incidents, see how they connect, and share them with trusted organizations. Each case is an event holding attributes and structured objects such as files, network connections, and email messages, with Markdown reports beside the machine-readable data. A correlation engine links events that share values, including fuzzy-hash and CIDR matches, and warning lists flag benign values before they cause false positives. Taxonomies and galaxies tag events with TLP levels, threat actors, malware families, and MITRE ATT&CK techniques. Analysts explore relationships in an event graph and a correlation graph with a timeline, and build drag-and-drop dashboards with maps and ATT&CK heatmaps. Sharing groups control who sees which event, and instances synchronize with partner organizations with distribution settings down to a single attribute. Free-text, URL, bulk, and STIX imports fill the database, and exports reach Suricata, Snort, Zeek, OpenIOC, CSV, STIX 1 and 2, and RPZ zones. A REST API, the PyMISP library, expansion modules, and workflows enrich data and automate publishing. ZeroMQ and Kafka streams announce every change to connected tools. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. AGPL-3.0 licensed.

Network traffic stops being a mystery once ntopng names the hosts, applications, and protocols behind every flow, live in your browser. To find the host saturating an uplink, open the dashboard, which ranks top talkers, countries, autonomous systems, and protocols beside historical charts. To see what a suspicious host is contacting, open its page for traffic, ports, DNS queries, TLS details, and visited sites, plus a map of its conversations. Deep packet inspection recognizes applications such as Facebook, YouTube, and BitTorrent, so charts name the app behind the bytes instead of relying on port numbers alone. The console reads packets from a SPAN port or TAP and NetFlow, sFlow, or IPFIX records from routers and switches through nProbe, so it can cover a single switch or many remote sites. Behavioural checks raise alerts for flows, hosts, and interfaces and send them to email, Discord, Telegram, or webhooks. Active monitoring probes remote hosts over ICMP and HTTP/S, and network discovery lists the devices on your local network. A REST API and Lua scripting pull statistics into your own tools and add custom checks. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-3.0 licensed.

Flowsint turns scattered OSINT leads, like a domain, a username, an email, or a crypto wallet, into one interactive graph that you expand with a right click. Drop an entity on the canvas, run an enricher, and the results appear as new nodes with their relationships already drawn in. Over 30 built-in enrichers cover subdomain discovery, WHOIS and historical records, DNS and ASN lookups, IP geolocation, username searches with Maigret and Sherlock, breach checks for emails and phone numbers, Gravatar profiles, website crawling for contacts and tracking codes, and Ethereum wallet transactions and NFT transfers. Chain enrichers into flows so each output feeds the next step, then replay the same flow on any entity of that type. Missing a source? Write an enricher template in YAML, or describe the API in plain language and let the built-in AI draft it, with API keys kept in an encrypted vault instead of config files. Custom entity types, aliases, tags, JSON import and export, and basic role-based access control make it workable for small teams, and an n8n connector pipes findings into alerts and reports. Double-click the canvas to add items fast, or alt-drag between nodes to link them. Every graph stays on your own server, and no default accounts exist. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.