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.

Hunting for the hole is only half the job, because a scanner alert nobody believes wastes more time than the bug itself. Add a domain, CIDR, or bug-bounty scope and Reconner builds the map first: passive and active subdomain enumeration, live HTTP probing and fingerprinting, JavaScript analysis that digs endpoints, secrets, and API keys out of bundles, plus parameter and hidden-param discovery. Then it attacks what it mapped with a context-aware engine covering reflected, stored, and DOM XSS, SQL, NoSQL, SSRF, IDOR, LFI, SSTI, XXE, injection, and open redirects, and every candidate has to survive differential, out-of-band, or control-based proof, re-verified before it is ever reported. Blind issues are not dropped either: OAST callbacks catch out-of-band SSRF, RCE, SQLi, and SSTI that never respond inline. Networks get the same treatment, with port scanning, service detection, network-CVE checks, and IP-camera auditing. Findings land in a live dashboard streamed over WebSocket, with an attack-path view, coverage ledger, monitoring diffs, and HTML, Markdown, and PDF reports, while Telegram can alert you and even start, stop, or resume scans remotely. Run it only against assets you own or are authorized to test; behind a VPN and TLS it becomes your private proving ground. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Watchtower puts AI-driven security assessments into one web console, where sessions probe your attack surface while every request, finding, and piece of evidence is captured as it happens. The AI session console follows the attack surface, session progress, tool calls, and findings as an assessment runs, so you can watch an engagement unfold instead of reading a log afterwards. A built-in proxy workflow records HTTP and HTTPS traffic history with highlighted patterns, and any captured request can be sent to the Repeater for editing, replay, and response comparison. Mobile work is covered too: connect phones over USB or wireless, capture app traffic separately from accessibility control, and import WeChat mini-program packages to configure an assessment session. A public vulnerability intelligence library can be searched by component, severity, and source and kept synchronized locally, giving assessments current context without sending your targets anywhere. Findings are managed by source, severity, and status, each linked back to its supporting evidence, and the report editor assembles them with a live preview, impact notes, and remediation guidance. The dashboard tracks assets, tasks, AI sessions, token usage, and runtime resources, and task admission is budgeted against physical memory so heavy scans do not starve the host. 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.

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.

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.

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.

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.

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.

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.

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.

Prismor sits between your AI coding agents and the tools they want to use, judging every shell command, file read, and API call before it runs so a helpful agent cannot quietly become a destructive one. Run it in observe mode to watch what agents actually do across every workspace, then switch chosen rules to enforce and block secret leaks, prompt-injection pivots, privilege escalation, and risky package installs before execution. When a call is sensitive rather than forbidden, Prismor can pause it for human approval, letting a person decide instead of the model. Plain-language prompt guardrails such as never push to main are added to the agent context per agent and per session, and edits are picked up on the next prompt. Every action lands in a hash-chained, Ed25519-signed audit trail you can verify later, while the web dashboard breaks down sessions, findings, friction, and token spend so you can see where runs went wrong. Agents that cannot be hooked are still governed through the LLM proxy or the MCP gateway, which evaluates each tool call and scans responses for injected instructions before the model sees them. Honeytoken canary files trip a critical finding the moment an agent reads them, catching reconnaissance early. 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.

Trusted by over seven million developers worldwide with 310+ contributors and more than 10,600 GitHub stars since 2011, SonarQube has become the industry standard for automated code review and continuous code quality inspection. The platform performs deep static analysis across Java, JavaScript, TypeScript, Python, C#, C++, PHP, Kotlin, Go, Ruby, Swift, and 30+ additional languages, detecting bugs that cause runtime failures, security vulnerabilities exploitable by attackers, security hotspots requiring manual review, code smells degrading maintainability, and code duplications increasing technical debt. Quality Gates define pass-fail thresholds on metrics like coverage, duplications, reliability rating, and security rating, failing CI/CD pipelines when new code introduces issues below organizational standards. Pull request analysis decorates GitHub, GitLab, Bitbucket, and Azure DevOps merge requests with inline issue annotations and overall quality summaries before merging. Built-in quality profiles provide curated rule sets per language following the Sonar Way methodology, with dedicated profiles for AI-generated code that target patterns commonly introduced by agentic coding workflows. Infrastructure-as-Code analysis covers Terraform, Kubernetes, Docker, Ansible, CloudFormation, and Helm charts with supply-chain security rules for CI/CD pipelines. The companion IDE plugin delivers real-time analysis with quick-fix guidance directly in VS Code, IntelliJ, and Eclipse. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. LGPL-3.0 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.

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.

Starred by over 6,500 users on GitHub and trusted by organizations including Toyota, CTFd has been the leading open-source platform for hosting cybersecurity competitions since 2015, providing everything needed to run professional Capture The Flag events through a clean web-based administration panel without touching a database query. The framework supports both individual and team-based competitions with automatic tie resolution, configurable score freezing, and scoregraphs comparing the top teams with detailed progress tracking. Challenge creation offers static and regex-based flags, dynamic scoring that adjusts point values based on solve count, unlockable hints purchasable with points, file attachments uploaded to local storage or Amazon S3-compatible backends, and challenge attempt limits with automatic bruteforce protection. Version 3.8 introduced challenge logic fields controlling flag submission behavior with any, all, and team modes, integrated dynamic scoring into the standard challenge type, participant ratings and reviews on challenges, and admin-stored challenge solutions viewable after competition. The Markdown-based content management system enables custom pages for rules, FAQs, and resources, while SMTP and Mailgun integration handles email confirmation and password recovery. The plugin architecture supports custom challenge types, flag validators, and scoring algorithms, while the theme system provides complete visual customization. Import and export functionality preserves entire competition configurations for archival and reuse across events. 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.