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.

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.

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.

Point an AI pentesting crew at a web app you own and watch it hunt: BugTraceAI plans the checks, sends specialist agents after each weakness class, and brings back evidence you can inspect. A scan moves through six visible phases, from crawling and endpoint discovery through strategy, exploitation and validation, and ends in a findings table where every result carries a severity, a CVSS score and a confirmed status. The web dashboard follows the hunt live as a graph of specialists branching from a coordinating agent, and its API discovery workspace brute-forces routes and loads the interesting ones straight into a scan. Analysts get their own toolbox of more than twenty utilities for poking HTTP traffic by hand, an AI repeater for replaying requests, and ModelLab for comparing models on cost and results. Findings download as a ZIP with the full report, and a terminal workspace with pipeline, findings, agents, timeline and logs views suits keyboard-driven work. Bring your own model through OpenRouter, Anthropic, Z.ai or a local endpoint, and aim the whole suite at the bundled BugStore practice shop when you want to rehearse safely. 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.

Most AI agents are a chat box with confidence; Antares is a working security specialist that shows its evidence. Point it at a target you are authorized to test and its specialist agents map the surface, test web applications against OWASP, probe APIs, and record every confirmed finding with its reproduction steps. When the run ends, the findings are already compiled into a report, because the agent kept the evidence as it went instead of reconstructing it afterward. The same workspace handles ordinary work between engagements: it reads and writes files, runs your shell, drives a real browser, searches the web, and retrieves from a built-in memory and RAG index that remembers what matters across sessions. Give it a goal and it holds to that goal across turns, schedules its own follow-up work, and answers from Telegram and Discord when you are away from the dashboard. Bring your own models, since everything runs on your machine or server from one binary, with the dashboard, terminal UI, and API served by a single process. 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.

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.

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.

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.

Point it at your cloud accounts and it returns a ranked list of what is misconfigured, mapped to the standards auditors ask about. Connect providers like AWS, Azure, Google Cloud, Kubernetes, Microsoft 365, and GitHub, launch a scan or schedule recurring ones, and read the results on an overview with a ThreatScore gauge, severity bars, and a resource inventory by category. The Findings page groups failed checks, expands each group into the affected resources, and lets teams mute noise, triage status, send groups to Jira, and create alerts that email or message people after each scan. Compliance pages score every framework from CIS and NIST to PCI DSS, SOC 2, HIPAA, GDPR, and ISO 27001, with a watchlist for the ones you care about and downloadable reports. Attack Paths draws a graph from IAM roles and policies to outcomes like code execution, using a Neo4j graph database filled by AWS scans. A built-in AI assistant answers questions about critical findings and compliance gaps with the model provider you configure. Organizations, roles, and API keys keep access tidy. 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.

Enterprise security stacks assume an enterprise budget; Wildbox assumes a server you already own. It runs your whole security operation as a set of cooperating services behind a single HTTPS gateway: threat intelligence collectors pull indicators from seven public feeds on a schedule, starting with abuse.ch's Feodo Tracker, and every indicator is searchable in one place. Fifty-two security tools sit behind one API, covering DNS, TLS, email security, headers, and port analysis. The cloud posture service runs 22 configuration checks against your live AWS accounts and keeps each scan's report, while the vulnerability service inventories your assets, prioritizes findings by risk, and tracks them through remediation with SLA checks and alert rules. When something needs doing, YAML playbooks execute response workflows as background jobs, and the agents service writes Claude-generated threat-enrichment reports for suspicious indicators when you give it an API key. An osquery-based sensor streams endpoint telemetry from your hosts into the platform, kept separate per team. Users, teams, roles, and scoped API keys live in the identity service, and the backends accept nothing that did not arrive through the gateway, so your security data never leaves hardware you control. Optional Compose profiles add n8n automation and Prometheus monitoring. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT 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.

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.

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.

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.

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.

Cupdate keeps a watchful eye on every container image you run, reporting which ones are outdated or vulnerable while deliberately never touching the update button itself. Point it at a Kubernetes cluster, a Docker socket, or Podman hosts (local or remote, one or several) and it inventories every image in use with no configuration to write. Each image is matched against its registry to find the newest available version, and the dashboard shows the gap between what you deployed and what you could be running, with release notes inline so the decision to upgrade takes seconds instead of a changelog hunt. Vulnerability data is layered on top from four sources: Docker Scout for Docker Hub images, Clair for participating Quay images, GitHub Advisories for images tied to repositories, and osv.dev correlation for images shipping SBOMs. A dependency graph explains why each image exists in your stack by showing which workloads pull it, which ends the "can I delete this?" guessing game. Subscribe to the RSS feed to hear about new releases passively, query the REST API to drive scripts that update compose files or kustomizations, or surface outdated and vulnerable counts in a Homepage dashboard widget. Prometheus metrics and traces are available when you want the watcher itself watched. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.