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.

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.

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.

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.

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.

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.

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.

Agentic SOC Platform compresses hours of manual security analysis into seconds by deploying specialized AI agents that autonomously triage, investigate, and enrich security alerts. The Python/Django backend processes SIEM webhooks through Redis Streams into a modular pipeline where LangGraph-orchestrated agents extract IOCs, correlate signals, and generate Cases with severity, confidence, impact, priority, and structured verdicts. The built-in SIRP provides full case management with Alerts, Artifacts, Enrichments, Tickets, and a Knowledge base that accumulates institutional memory for both human analysts and LLM agents. Native Splunk and Elasticsearch/Kibana integrations deliver unified log search through a standardized interface so agents and analysts share identical security context. The playbook engine combines traditional SOAR automation with AI-powered investigation — launching threat hunting agents, knowledge extraction, threat intelligence enrichment, and CMDB lookups from a single orchestration layer. MCP Plugin support exposes ASP capabilities to Claude Code, Codex, and OpenCode, enabling external AI agents to operate cases, search logs, query threat intelligence, and write custom modules directly. Python Modules adapt new alert sources while Playbooks orchestrate LLM analysis and automated response actions, scaling the platform with your security scenarios. Deploy via Docker Compose with all data staying inside your network. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT 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.